/////////////////////////////////////////// // Running convGAN-proximary-full on folding_winequality-red-4 /////////////////////////////////////////// Load 'data_input/folding_winequality-red-4' from pickle file Data loaded. -> Shuffling data ### Start exercise for synthetic point generator ====== Step 1/5 ======= -> Shuffling data -> Spliting data to slices ------ Step 1/5: Slice 1/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1194 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 18s - loss: 0.1675 43/124 [=========>....................] - ETA: 0s - loss: 0.5185  85/124 [===================>..........] - ETA: 0s - loss: 0.5056 124/124 [==============================] - 0s 1ms/step - loss: 0.4648 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.3042 38/124 [========>.....................] - ETA: 0s - loss: 0.3711 72/124 [================>.............] - ETA: 0s - loss: 0.3907 105/124 [========================>.....] - ETA: 0s - loss: 0.3897 124/124 [==============================] - 0s 1ms/step - loss: 0.3905 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.5125 42/124 [=========>....................] - ETA: 0s - loss: 0.3843 83/124 [===================>..........] - ETA: 0s - loss: 0.3729 121/124 [============================>.] - ETA: 0s - loss: 0.3694 124/124 [==============================] - 0s 1ms/step - loss: 0.3676 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.2643 43/124 [=========>....................] - ETA: 0s - loss: 0.3818 76/124 [=================>............] - ETA: 0s - loss: 0.3551 116/124 [===========================>..] - ETA: 0s - loss: 0.3536 124/124 [==============================] - 0s 1ms/step - loss: 0.3571 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.1444 40/124 [========>.....................] - ETA: 0s - loss: 0.3472 81/124 [==================>...........] - ETA: 0s - loss: 0.3490 123/124 [============================>.] - ETA: 0s - loss: 0.3574 124/124 [==============================] - 0s 1ms/step - loss: 0.3573 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.3478 42/124 [=========>....................] - ETA: 0s - loss: 0.3362 84/124 [===================>..........] - ETA: 0s - loss: 0.3503 124/124 [==============================] - 0s 1ms/step - loss: 0.3539 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.1710 42/124 [=========>....................] - ETA: 0s - loss: 0.3367 83/124 [===================>..........] - ETA: 0s - loss: 0.3565 124/124 [==============================] - ETA: 0s - loss: 0.3539 124/124 [==============================] - 0s 1ms/step - loss: 0.3539 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.2874 43/124 [=========>....................] - ETA: 0s - loss: 0.3689 85/124 [===================>..........] - ETA: 0s - loss: 0.3462 124/124 [==============================] - 0s 1ms/step - loss: 0.3480 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.4710 43/124 [=========>....................] - ETA: 0s - loss: 0.3588 85/124 [===================>..........] - ETA: 0s - loss: 0.3663 124/124 [==============================] - 0s 1ms/step - loss: 0.3479 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.2969 42/124 [=========>....................] - ETA: 0s - loss: 0.3141 84/124 [===================>..........] - ETA: 0s - loss: 0.3154 124/124 [==============================] - ETA: 0s - loss: 0.3387 124/124 [==============================] - 0s 1ms/step - loss: 0.3387 -> test with GAN.predict GAN tn, fp: 228, 82 GAN fn, tp: 6, 5 GAN f1 score: 0.102 GAN cohens kappa score: 0.044 -> test with 'LR' LR tn, fp: 214, 96 LR fn, tp: 4, 7 LR f1 score: 0.123 LR cohens kappa score: 0.065 LR average precision score: 0.136 -> test with 'RF' RF tn, fp: 301, 9 RF fn, tp: 11, 0 RF f1 score: 0.000 RF cohens kappa score: -0.032 -> test with 'GB' GB tn, fp: 292, 18 GB fn, tp: 11, 0 GB f1 score: 0.000 GB cohens kappa score: -0.044 -> test with 'KNN' KNN tn, fp: 227, 83 KNN fn, tp: 8, 3 KNN f1 score: 0.062 KNN cohens kappa score: 0.001 ------ Step 1/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1194 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 22s - loss: 1.4279 41/124 [========>.....................] - ETA: 0s - loss: 0.5383  80/124 [==================>...........] - ETA: 0s - loss: 0.5324 121/124 [============================>.] - ETA: 0s - loss: 0.5031 124/124 [==============================] - 0s 1ms/step - loss: 0.4995 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.2471 41/124 [========>.....................] - ETA: 0s - loss: 0.4169 79/124 [==================>...........] - ETA: 0s - loss: 0.4129 120/124 [============================>.] - ETA: 0s - loss: 0.3787 124/124 [==============================] - 0s 1ms/step - loss: 0.3848 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.2987 42/124 [=========>....................] - ETA: 0s - loss: 0.3038 82/124 [==================>...........] - ETA: 0s - loss: 0.3446 122/124 [============================>.] - ETA: 0s - loss: 0.3421 124/124 [==============================] - 0s 1ms/step - loss: 0.3416 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.2633 42/124 [=========>....................] - ETA: 0s - loss: 0.3075 82/124 [==================>...........] - ETA: 0s - loss: 0.3326 121/124 [============================>.] - ETA: 0s - loss: 0.3287 124/124 [==============================] - 0s 1ms/step - loss: 0.3266 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.2257 41/124 [========>.....................] - ETA: 0s - loss: 0.3055 81/124 [==================>...........] - ETA: 0s - loss: 0.3130 122/124 [============================>.] - ETA: 0s - loss: 0.3198 124/124 [==============================] - 0s 1ms/step - loss: 0.3206 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.3755 42/124 [=========>....................] - ETA: 0s - loss: 0.3196 83/124 [===================>..........] - ETA: 0s - loss: 0.3272 123/124 [============================>.] - ETA: 0s - loss: 0.3188 124/124 [==============================] - 0s 1ms/step - loss: 0.3192 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.3546 42/124 [=========>....................] - ETA: 0s - loss: 0.2721 82/124 [==================>...........] - ETA: 0s - loss: 0.3030 122/124 [============================>.] - ETA: 0s - loss: 0.3056 124/124 [==============================] - 0s 1ms/step - loss: 0.3100 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.7163 40/124 [========>.....................] - ETA: 0s - loss: 0.3002 80/124 [==================>...........] - ETA: 0s - loss: 0.2938 120/124 [============================>.] - ETA: 0s - loss: 0.2938 124/124 [==============================] - 0s 1ms/step - loss: 0.2964 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.6696 42/124 [=========>....................] - ETA: 0s - loss: 0.3017 83/124 [===================>..........] - ETA: 0s - loss: 0.3012 123/124 [============================>.] - ETA: 0s - loss: 0.2954 124/124 [==============================] - 0s 1ms/step - loss: 0.2946 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.4239 42/124 [=========>....................] - ETA: 0s - loss: 0.3094 83/124 [===================>..........] - ETA: 0s - loss: 0.3177 123/124 [============================>.] - ETA: 0s - loss: 0.3037 124/124 [==============================] - 0s 1ms/step - loss: 0.3034 -> test with GAN.predict GAN tn, fp: 288, 22 GAN fn, tp: 9, 2 GAN f1 score: 0.114 GAN cohens kappa score: 0.071 -> test with 'LR' LR tn, fp: 226, 84 LR fn, tp: 3, 8 LR f1 score: 0.155 LR cohens kappa score: 0.100 LR average precision score: 0.128 -> test with 'RF' RF tn, fp: 299, 11 RF fn, tp: 10, 1 RF f1 score: 0.087 RF cohens kappa score: 0.053 -> test with 'GB' GB tn, fp: 295, 15 GB fn, tp: 10, 1 GB f1 score: 0.074 GB cohens kappa score: 0.035 -> test with 'KNN' KNN tn, fp: 247, 63 KNN fn, tp: 9, 2 KNN f1 score: 0.053 KNN cohens kappa score: -0.006 ------ Step 1/5: Slice 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1194 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 20s - loss: 0.9236 38/124 [========>.....................] - ETA: 0s - loss: 0.5856  71/124 [================>.............] - ETA: 0s - loss: 0.5540 100/124 [=======================>......] - ETA: 0s - loss: 0.5227 124/124 [==============================] - 0s 2ms/step - loss: 0.5236 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.3058 37/124 [=======>......................] - ETA: 0s - loss: 0.4066 74/124 [================>.............] - ETA: 0s - loss: 0.4188 111/124 [=========================>....] - ETA: 0s - loss: 0.4250 124/124 [==============================] - 0s 1ms/step - loss: 0.4277 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.3245 40/124 [========>.....................] - ETA: 0s - loss: 0.4196 78/124 [=================>............] - ETA: 0s - loss: 0.4049 119/124 [===========================>..] - ETA: 0s - loss: 0.4090 124/124 [==============================] - 0s 1ms/step - loss: 0.4070 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.5354 39/124 [========>.....................] - ETA: 0s - loss: 0.4213 79/124 [==================>...........] - ETA: 0s - loss: 0.4028 119/124 [===========================>..] - ETA: 0s - loss: 0.3957 124/124 [==============================] - 0s 1ms/step - loss: 0.3969 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.1343 42/124 [=========>....................] - ETA: 0s - loss: 0.3812 80/124 [==================>...........] - ETA: 0s - loss: 0.3905 119/124 [===========================>..] - ETA: 0s - loss: 0.3921 124/124 [==============================] - 0s 1ms/step - loss: 0.3895 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.3617 39/124 [========>.....................] - ETA: 0s - loss: 0.3813 79/124 [==================>...........] - ETA: 0s - loss: 0.3895 118/124 [===========================>..] - ETA: 0s - loss: 0.3853 124/124 [==============================] - 0s 1ms/step - loss: 0.3876 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.5065 41/124 [========>.....................] - ETA: 0s - loss: 0.3722 78/124 [=================>............] - ETA: 0s - loss: 0.3662 110/124 [=========================>....] - ETA: 0s - loss: 0.3742 124/124 [==============================] - 0s 1ms/step - loss: 0.3769 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.2566 33/124 [======>.......................] - ETA: 0s - loss: 0.3530 72/124 [================>.............] - ETA: 0s - loss: 0.3684 110/124 [=========================>....] - ETA: 0s - loss: 0.3793 124/124 [==============================] - 0s 1ms/step - loss: 0.3722 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.7540 37/124 [=======>......................] - ETA: 0s - loss: 0.4116 76/124 [=================>............] - ETA: 0s - loss: 0.3819 113/124 [==========================>...] - ETA: 0s - loss: 0.3708 124/124 [==============================] - 0s 1ms/step - loss: 0.3680 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.3899 35/124 [=======>......................] - ETA: 0s - loss: 0.3493 68/124 [===============>..............] - ETA: 0s - loss: 0.3618 101/124 [=======================>......] - ETA: 0s - loss: 0.3707 124/124 [==============================] - 0s 2ms/step - loss: 0.3653 -> test with GAN.predict GAN tn, fp: 258, 52 GAN fn, tp: 5, 6 GAN f1 score: 0.174 GAN cohens kappa score: 0.123 -> test with 'LR' LR tn, fp: 198, 112 LR fn, tp: 2, 9 LR f1 score: 0.136 LR cohens kappa score: 0.078 LR average precision score: 0.237 -> test with 'RF' RF tn, fp: 296, 14 RF fn, tp: 9, 2 RF f1 score: 0.148 RF cohens kappa score: 0.112 -> test with 'GB' GB tn, fp: 286, 24 GB fn, tp: 8, 3 GB f1 score: 0.158 GB cohens kappa score: 0.115 -> test with 'KNN' KNN tn, fp: 208, 102 KNN fn, tp: 7, 4 KNN f1 score: 0.068 KNN cohens kappa score: 0.007 ------ Step 1/5: Slice 4/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1194 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 18s - loss: 0.8541 42/124 [=========>....................] - ETA: 0s - loss: 0.5290  84/124 [===================>..........] - ETA: 0s - loss: 0.5223 124/124 [==============================] - 0s 1ms/step - loss: 0.5001 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.5266 43/124 [=========>....................] - ETA: 0s - loss: 0.4066 84/124 [===================>..........] - ETA: 0s - loss: 0.3885 124/124 [==============================] - 0s 1ms/step - loss: 0.3768 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.4308 40/124 [========>.....................] - ETA: 0s - loss: 0.3730 81/124 [==================>...........] - ETA: 0s - loss: 0.3464 121/124 [============================>.] - ETA: 0s - loss: 0.3540 124/124 [==============================] - 0s 1ms/step - loss: 0.3524 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.2080 42/124 [=========>....................] - ETA: 0s - loss: 0.3786 80/124 [==================>...........] - ETA: 0s - loss: 0.3430 120/124 [============================>.] - ETA: 0s - loss: 0.3359 124/124 [==============================] - 0s 1ms/step - loss: 0.3350 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.3425 43/124 [=========>....................] - ETA: 0s - loss: 0.3253 84/124 [===================>..........] - ETA: 0s - loss: 0.3341 124/124 [==============================] - ETA: 0s - loss: 0.3203 124/124 [==============================] - 0s 1ms/step - loss: 0.3203 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.4990 42/124 [=========>....................] - ETA: 0s - loss: 0.3358 83/124 [===================>..........] - ETA: 0s - loss: 0.3095 123/124 [============================>.] - ETA: 0s - loss: 0.3105 124/124 [==============================] - 0s 1ms/step - loss: 0.3119 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.2464 39/124 [========>.....................] - ETA: 0s - loss: 0.3107 74/124 [================>.............] - ETA: 0s - loss: 0.3035 106/124 [========================>.....] - ETA: 0s - loss: 0.3039 124/124 [==============================] - 0s 1ms/step - loss: 0.3032 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.2159 41/124 [========>.....................] - ETA: 0s - loss: 0.3319 81/124 [==================>...........] - ETA: 0s - loss: 0.3088 123/124 [============================>.] - ETA: 0s - loss: 0.3028 124/124 [==============================] - 0s 1ms/step - loss: 0.3034 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.3240 41/124 [========>.....................] - ETA: 0s - loss: 0.2954 81/124 [==================>...........] - ETA: 0s - loss: 0.2838 122/124 [============================>.] - ETA: 0s - loss: 0.2895 124/124 [==============================] - 0s 1ms/step - loss: 0.2904 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.3440 42/124 [=========>....................] - ETA: 0s - loss: 0.2908 84/124 [===================>..........] - ETA: 0s - loss: 0.2965 124/124 [==============================] - 0s 1ms/step - loss: 0.2919 -> test with GAN.predict GAN tn, fp: 223, 87 GAN fn, tp: 8, 3 GAN f1 score: 0.059 GAN cohens kappa score: -0.002 -> test with 'LR' LR tn, fp: 238, 72 LR fn, tp: 6, 5 LR f1 score: 0.114 LR cohens kappa score: 0.057 LR average precision score: 0.096 -> test with 'RF' RF tn, fp: 303, 7 RF fn, tp: 10, 1 RF f1 score: 0.105 RF cohens kappa score: 0.079 -> test with 'GB' GB tn, fp: 296, 14 GB fn, tp: 10, 1 GB f1 score: 0.077 GB cohens kappa score: 0.039 -> test with 'KNN' KNN tn, fp: 240, 70 KNN fn, tp: 10, 1 KNN f1 score: 0.024 KNN cohens kappa score: -0.037 ------ Step 1/5: Slice 5/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1196 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 17s - loss: 0.9345 44/124 [=========>....................] - ETA: 0s - loss: 0.5061  88/124 [====================>.........] - ETA: 0s - loss: 0.4720 124/124 [==============================] - 0s 1ms/step - loss: 0.4463 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.4009 44/124 [=========>....................] - ETA: 0s - loss: 0.3765 88/124 [====================>.........] - ETA: 0s - loss: 0.3661 124/124 [==============================] - 0s 1ms/step - loss: 0.3678 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.4678 44/124 [=========>....................] - ETA: 0s - loss: 0.3551 86/124 [===================>..........] - ETA: 0s - loss: 0.3530 124/124 [==============================] - 0s 1ms/step - loss: 0.3480 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.2292 44/124 [=========>....................] - ETA: 0s - loss: 0.3383 88/124 [====================>.........] - ETA: 0s - loss: 0.3352 124/124 [==============================] - 0s 1ms/step - loss: 0.3336 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.2910 44/124 [=========>....................] - ETA: 0s - loss: 0.3175 88/124 [====================>.........] - ETA: 0s - loss: 0.3289 124/124 [==============================] - 0s 1ms/step - loss: 0.3266 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.3309 42/124 [=========>....................] - ETA: 0s - loss: 0.3769 82/124 [==================>...........] - ETA: 0s - loss: 0.3448 124/124 [==============================] - ETA: 0s - loss: 0.3418 124/124 [==============================] - 0s 1ms/step - loss: 0.3418 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.5026 45/124 [=========>....................] - ETA: 0s - loss: 0.3221 87/124 [====================>.........] - ETA: 0s - loss: 0.3184 124/124 [==============================] - 0s 1ms/step - loss: 0.3201 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.1522 45/124 [=========>....................] - ETA: 0s - loss: 0.3171 88/124 [====================>.........] - ETA: 0s - loss: 0.3191 124/124 [==============================] - 0s 1ms/step - loss: 0.3192 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.5306 44/124 [=========>....................] - ETA: 0s - loss: 0.3143 86/124 [===================>..........] - ETA: 0s - loss: 0.3244 124/124 [==============================] - 0s 1ms/step - loss: 0.3185 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.3665 45/124 [=========>....................] - ETA: 0s - loss: 0.3010 88/124 [====================>.........] - ETA: 0s - loss: 0.3130 124/124 [==============================] - 0s 1ms/step - loss: 0.3168 -> test with GAN.predict GAN tn, fp: 224, 82 GAN fn, tp: 4, 5 GAN f1 score: 0.104 GAN cohens kappa score: 0.055 -> test with 'LR' LR tn, fp: 223, 83 LR fn, tp: 4, 5 LR f1 score: 0.103 LR cohens kappa score: 0.054 LR average precision score: 0.220 -> test with 'RF' RF tn, fp: 297, 9 RF fn, tp: 9, 0 RF f1 score: 0.000 RF cohens kappa score: -0.029 -> test with 'GB' GB tn, fp: 286, 20 GB fn, tp: 7, 2 GB f1 score: 0.129 GB cohens kappa score: 0.092 -> test with 'KNN' KNN tn, fp: 225, 81 KNN fn, tp: 5, 4 KNN f1 score: 0.085 KNN cohens kappa score: 0.035 ====== Step 2/5 ======= -> Shuffling data -> Spliting data to slices ------ Step 2/5: Slice 1/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1194 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 20s - loss: 0.6027 41/124 [========>.....................] - ETA: 0s - loss: 0.6147  82/124 [==================>...........] - ETA: 0s - loss: 0.5576 123/124 [============================>.] - ETA: 0s - loss: 0.5305 124/124 [==============================] - 0s 1ms/step - loss: 0.5292 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.2621 42/124 [=========>....................] - ETA: 0s - loss: 0.4220 81/124 [==================>...........] - ETA: 0s - loss: 0.4368 121/124 [============================>.] - ETA: 0s - loss: 0.4446 124/124 [==============================] - 0s 1ms/step - loss: 0.4430 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.4664 41/124 [========>.....................] - ETA: 0s - loss: 0.4167 82/124 [==================>...........] - ETA: 0s - loss: 0.4258 118/124 [===========================>..] - ETA: 0s - loss: 0.4168 124/124 [==============================] - 0s 1ms/step - loss: 0.4169 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.3528 40/124 [========>.....................] - ETA: 0s - loss: 0.3993 72/124 [================>.............] - ETA: 0s - loss: 0.4028 109/124 [=========================>....] - ETA: 0s - loss: 0.4049 124/124 [==============================] - 0s 1ms/step - loss: 0.4028 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.6870 42/124 [=========>....................] - ETA: 0s - loss: 0.4130 78/124 [=================>............] - ETA: 0s - loss: 0.3899 112/124 [==========================>...] - ETA: 0s - loss: 0.3893 124/124 [==============================] - 0s 1ms/step - loss: 0.3924 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.4112 37/124 [=======>......................] - ETA: 0s - loss: 0.3895 78/124 [=================>............] - ETA: 0s - loss: 0.3796 119/124 [===========================>..] - ETA: 0s - loss: 0.3781 124/124 [==============================] - 0s 1ms/step - loss: 0.3788 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.2698 39/124 [========>.....................] - ETA: 0s - loss: 0.3650 79/124 [==================>...........] - ETA: 0s - loss: 0.3798 118/124 [===========================>..] - ETA: 0s - loss: 0.3692 124/124 [==============================] - 0s 1ms/step - loss: 0.3719 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.2254 41/124 [========>.....................] - ETA: 0s - loss: 0.3634 82/124 [==================>...........] - ETA: 0s - loss: 0.3615 123/124 [============================>.] - ETA: 0s - loss: 0.3663 124/124 [==============================] - 0s 1ms/step - loss: 0.3662 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.2326 40/124 [========>.....................] - ETA: 0s - loss: 0.3574 81/124 [==================>...........] - ETA: 0s - loss: 0.3577 122/124 [============================>.] - ETA: 0s - loss: 0.3610 124/124 [==============================] - 0s 1ms/step - loss: 0.3606 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.2025 42/124 [=========>....................] - ETA: 0s - loss: 0.3725 82/124 [==================>...........] - ETA: 0s - loss: 0.3695 121/124 [============================>.] - ETA: 0s - loss: 0.3592 124/124 [==============================] - 0s 1ms/step - loss: 0.3577 -> test with GAN.predict GAN tn, fp: 266, 44 GAN fn, tp: 8, 3 GAN f1 score: 0.103 GAN cohens kappa score: 0.051 -> test with 'LR' LR tn, fp: 221, 89 LR fn, tp: 3, 8 LR f1 score: 0.148 LR cohens kappa score: 0.092 LR average precision score: 0.155 -> test with 'RF' RF tn, fp: 299, 11 RF fn, tp: 11, 0 RF f1 score: 0.000 RF cohens kappa score: -0.035 -> test with 'GB' GB tn, fp: 289, 21 GB fn, tp: 9, 2 GB f1 score: 0.118 GB cohens kappa score: 0.075 -> test with 'KNN' KNN tn, fp: 231, 79 KNN fn, tp: 8, 3 KNN f1 score: 0.065 KNN cohens kappa score: 0.004 ------ Step 2/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1194 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 23s - loss: 0.4407 40/124 [========>.....................] - ETA: 0s - loss: 0.4898  80/124 [==================>...........] - ETA: 0s - loss: 0.4511 116/124 [===========================>..] - ETA: 0s - loss: 0.4592 124/124 [==============================] - 0s 1ms/step - loss: 0.4539 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.3543 39/124 [========>.....................] - ETA: 0s - loss: 0.4011 78/124 [=================>............] - ETA: 0s - loss: 0.4053 114/124 [==========================>...] - ETA: 0s - loss: 0.4107 124/124 [==============================] - 0s 1ms/step - loss: 0.4050 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.3097 40/124 [========>.....................] - ETA: 0s - loss: 0.3525 74/124 [================>.............] - ETA: 0s - loss: 0.3624 106/124 [========================>.....] - ETA: 0s - loss: 0.3665 124/124 [==============================] - 0s 1ms/step - loss: 0.3758 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.4748 41/124 [========>.....................] - ETA: 0s - loss: 0.3765 80/124 [==================>...........] - ETA: 0s - loss: 0.3630 119/124 [===========================>..] - ETA: 0s - loss: 0.3612 124/124 [==============================] - 0s 1ms/step - loss: 0.3634 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.2600 39/124 [========>.....................] - ETA: 0s - loss: 0.3518 79/124 [==================>...........] - ETA: 0s - loss: 0.3638 117/124 [===========================>..] - ETA: 0s - loss: 0.3693 124/124 [==============================] - 0s 1ms/step - loss: 0.3674 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.5412 42/124 [=========>....................] - ETA: 0s - loss: 0.3344 82/124 [==================>...........] - ETA: 0s - loss: 0.3506 120/124 [============================>.] - ETA: 0s - loss: 0.3461 124/124 [==============================] - 0s 1ms/step - loss: 0.3457 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.1981 40/124 [========>.....................] - ETA: 0s - loss: 0.3304 80/124 [==================>...........] - ETA: 0s - loss: 0.3547 120/124 [============================>.] - ETA: 0s - loss: 0.3616 124/124 [==============================] - 0s 1ms/step - loss: 0.3612 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.1834 42/124 [=========>....................] - ETA: 0s - loss: 0.3431 83/124 [===================>..........] - ETA: 0s - loss: 0.3387 123/124 [============================>.] - ETA: 0s - loss: 0.3437 124/124 [==============================] - 0s 1ms/step - loss: 0.3429 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.2030 42/124 [=========>....................] - ETA: 0s - loss: 0.3153 82/124 [==================>...........] - ETA: 0s - loss: 0.3336 123/124 [============================>.] - ETA: 0s - loss: 0.3343 124/124 [==============================] - 0s 1ms/step - loss: 0.3339 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.3502 41/124 [========>.....................] - ETA: 0s - loss: 0.3296 82/124 [==================>...........] - ETA: 0s - loss: 0.3273 121/124 [============================>.] - ETA: 0s - loss: 0.3311 124/124 [==============================] - 0s 1ms/step - loss: 0.3305 -> test with GAN.predict GAN tn, fp: 247, 63 GAN fn, tp: 6, 5 GAN f1 score: 0.127 GAN cohens kappa score: 0.072 -> test with 'LR' LR tn, fp: 223, 87 LR fn, tp: 4, 7 LR f1 score: 0.133 LR cohens kappa score: 0.077 LR average precision score: 0.184 -> test with 'RF' RF tn, fp: 304, 6 RF fn, tp: 11, 0 RF f1 score: 0.000 RF cohens kappa score: -0.025 -> test with 'GB' GB tn, fp: 296, 14 GB fn, tp: 10, 1 GB f1 score: 0.077 GB cohens kappa score: 0.039 -> test with 'KNN' KNN tn, fp: 236, 74 KNN fn, tp: 9, 2 KNN f1 score: 0.046 KNN cohens kappa score: -0.015 ------ Step 2/5: Slice 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1194 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 22s - loss: 0.7410 42/124 [=========>....................] - ETA: 0s - loss: 0.5495  82/124 [==================>...........] - ETA: 0s - loss: 0.5040 123/124 [============================>.] - ETA: 0s - loss: 0.4963 124/124 [==============================] - 0s 1ms/step - loss: 0.4950 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.3835 40/124 [========>.....................] - ETA: 0s - loss: 0.4528 81/124 [==================>...........] - ETA: 0s - loss: 0.4445 119/124 [===========================>..] - ETA: 0s - loss: 0.4329 124/124 [==============================] - 0s 1ms/step - loss: 0.4316 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.3031 41/124 [========>.....................] - ETA: 0s - loss: 0.4278 82/124 [==================>...........] - ETA: 0s - loss: 0.4239 123/124 [============================>.] - ETA: 0s - loss: 0.4096 124/124 [==============================] - 0s 1ms/step - loss: 0.4116 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.2812 39/124 [========>.....................] - ETA: 0s - loss: 0.4010 80/124 [==================>...........] - ETA: 0s - loss: 0.4054 120/124 [============================>.] - ETA: 0s - loss: 0.4051 124/124 [==============================] - 0s 1ms/step - loss: 0.4002 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.3574 37/124 [=======>......................] - ETA: 0s - loss: 0.3931 78/124 [=================>............] - ETA: 0s - loss: 0.3976 119/124 [===========================>..] - ETA: 0s - loss: 0.3958 124/124 [==============================] - 0s 1ms/step - loss: 0.3964 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.3896 41/124 [========>.....................] - ETA: 0s - loss: 0.4360 81/124 [==================>...........] - ETA: 0s - loss: 0.3981 121/124 [============================>.] - ETA: 0s - loss: 0.4048 124/124 [==============================] - 0s 1ms/step - loss: 0.4020 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.3723 41/124 [========>.....................] - ETA: 0s - loss: 0.3900 81/124 [==================>...........] - ETA: 0s - loss: 0.3830 118/124 [===========================>..] - ETA: 0s - loss: 0.3820 124/124 [==============================] - 0s 1ms/step - loss: 0.3816 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.2556 35/124 [=======>......................] - ETA: 0s - loss: 0.3479 67/124 [===============>..............] - ETA: 0s - loss: 0.3436 100/124 [=======================>......] - ETA: 0s - loss: 0.3575 124/124 [==============================] - 0s 1ms/step - loss: 0.3711 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.5832 41/124 [========>.....................] - ETA: 0s - loss: 0.4007 81/124 [==================>...........] - ETA: 0s - loss: 0.3823 121/124 [============================>.] - ETA: 0s - loss: 0.3858 124/124 [==============================] - 0s 1ms/step - loss: 0.3835 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.5768 41/124 [========>.....................] - ETA: 0s - loss: 0.3732 81/124 [==================>...........] - ETA: 0s - loss: 0.3662 120/124 [============================>.] - ETA: 0s - loss: 0.3607 124/124 [==============================] - 0s 1ms/step - loss: 0.3608 -> test with GAN.predict GAN tn, fp: 253, 57 GAN fn, tp: 8, 3 GAN f1 score: 0.085 GAN cohens kappa score: 0.028 -> test with 'LR' LR tn, fp: 206, 104 LR fn, tp: 3, 8 LR f1 score: 0.130 LR cohens kappa score: 0.072 LR average precision score: 0.191 -> test with 'RF' RF tn, fp: 298, 12 RF fn, tp: 10, 1 RF f1 score: 0.083 RF cohens kappa score: 0.048 -> test with 'GB' GB tn, fp: 287, 23 GB fn, tp: 10, 1 GB f1 score: 0.057 GB cohens kappa score: 0.011 -> test with 'KNN' KNN tn, fp: 212, 98 KNN fn, tp: 8, 3 KNN f1 score: 0.054 KNN cohens kappa score: -0.009 ------ Step 2/5: Slice 4/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1194 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 24s - loss: 0.6001 42/124 [=========>....................] - ETA: 0s - loss: 0.5073  82/124 [==================>...........] - ETA: 0s - loss: 0.4811 122/124 [============================>.] - ETA: 0s - loss: 0.4644 124/124 [==============================] - 0s 1ms/step - loss: 0.4621 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.3374 42/124 [=========>....................] - ETA: 0s - loss: 0.4041 83/124 [===================>..........] - ETA: 0s - loss: 0.3953 123/124 [============================>.] - ETA: 0s - loss: 0.3936 124/124 [==============================] - 0s 1ms/step - loss: 0.3939 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.2827 40/124 [========>.....................] - ETA: 0s - loss: 0.3914 81/124 [==================>...........] - ETA: 0s - loss: 0.3814 122/124 [============================>.] - ETA: 0s - loss: 0.3740 124/124 [==============================] - 0s 1ms/step - loss: 0.3743 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.3031 41/124 [========>.....................] - ETA: 0s - loss: 0.3560 82/124 [==================>...........] - ETA: 0s - loss: 0.3662 123/124 [============================>.] - ETA: 0s - loss: 0.3665 124/124 [==============================] - 0s 1ms/step - loss: 0.3666 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.2533 41/124 [========>.....................] - ETA: 0s - loss: 0.3502 82/124 [==================>...........] - ETA: 0s - loss: 0.3540 122/124 [============================>.] - ETA: 0s - loss: 0.3589 124/124 [==============================] - 0s 1ms/step - loss: 0.3593 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.5968 42/124 [=========>....................] - ETA: 0s - loss: 0.3536 80/124 [==================>...........] - ETA: 0s - loss: 0.3483 120/124 [============================>.] - ETA: 0s - loss: 0.3620 124/124 [==============================] - 0s 1ms/step - loss: 0.3628 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.1174 40/124 [========>.....................] - ETA: 0s - loss: 0.3504 79/124 [==================>...........] - ETA: 0s - loss: 0.3456 119/124 [===========================>..] - ETA: 0s - loss: 0.3412 124/124 [==============================] - 0s 1ms/step - loss: 0.3450 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.2190 41/124 [========>.....................] - ETA: 0s - loss: 0.3564 81/124 [==================>...........] - ETA: 0s - loss: 0.3469 121/124 [============================>.] - ETA: 0s - loss: 0.3422 124/124 [==============================] - 0s 1ms/step - loss: 0.3399 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.2344 42/124 [=========>....................] - ETA: 0s - loss: 0.3014 76/124 [=================>............] - ETA: 0s - loss: 0.3160 112/124 [==========================>...] - ETA: 0s - loss: 0.3459 124/124 [==============================] - 0s 1ms/step - loss: 0.3482 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.3724 38/124 [========>.....................] - ETA: 0s - loss: 0.3583 79/124 [==================>...........] - ETA: 0s - loss: 0.3464 120/124 [============================>.] - ETA: 0s - loss: 0.3519 124/124 [==============================] - 0s 1ms/step - loss: 0.3509 -> test with GAN.predict GAN tn, fp: 246, 64 GAN fn, tp: 7, 4 GAN f1 score: 0.101 GAN cohens kappa score: 0.045 -> test with 'LR' LR tn, fp: 226, 84 LR fn, tp: 6, 5 LR f1 score: 0.100 LR cohens kappa score: 0.042 LR average precision score: 0.278 -> test with 'RF' RF tn, fp: 305, 5 RF fn, tp: 10, 1 RF f1 score: 0.118 RF cohens kappa score: 0.096 -> test with 'GB' GB tn, fp: 295, 15 GB fn, tp: 10, 1 GB f1 score: 0.074 GB cohens kappa score: 0.035 -> test with 'KNN' KNN tn, fp: 217, 93 KNN fn, tp: 7, 4 KNN f1 score: 0.074 KNN cohens kappa score: 0.013 ------ Step 2/5: Slice 5/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1196 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 18s - loss: 1.0551 42/124 [=========>....................] - ETA: 0s - loss: 0.6083  85/124 [===================>..........] - ETA: 0s - loss: 0.5703 124/124 [==============================] - 0s 1ms/step - loss: 0.5303 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.2756 41/124 [========>.....................] - ETA: 0s - loss: 0.4307 84/124 [===================>..........] - ETA: 0s - loss: 0.4411 124/124 [==============================] - 0s 1ms/step - loss: 0.4331 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.3424 43/124 [=========>....................] - ETA: 0s - loss: 0.4025 85/124 [===================>..........] - ETA: 0s - loss: 0.3992 124/124 [==============================] - ETA: 0s - loss: 0.3887 124/124 [==============================] - 0s 1ms/step - loss: 0.3887 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.6769 40/124 [========>.....................] - ETA: 0s - loss: 0.3506 81/124 [==================>...........] - ETA: 0s - loss: 0.3791 124/124 [==============================] - 0s 1ms/step - loss: 0.3806 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.3304 43/124 [=========>....................] - ETA: 0s - loss: 0.3641 85/124 [===================>..........] - ETA: 0s - loss: 0.3864 124/124 [==============================] - 0s 1ms/step - loss: 0.3793 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.3981 39/124 [========>.....................] - ETA: 0s - loss: 0.3684 76/124 [=================>............] - ETA: 0s - loss: 0.3643 115/124 [==========================>...] - ETA: 0s - loss: 0.3639 124/124 [==============================] - 0s 1ms/step - loss: 0.3639 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.2368 43/124 [=========>....................] - ETA: 0s - loss: 0.3698 86/124 [===================>..........] - ETA: 0s - loss: 0.3721 124/124 [==============================] - 0s 1ms/step - loss: 0.3644 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.3435 41/124 [========>.....................] - ETA: 0s - loss: 0.3607 81/124 [==================>...........] - ETA: 0s - loss: 0.3537 117/124 [===========================>..] - ETA: 0s - loss: 0.3510 124/124 [==============================] - 0s 1ms/step - loss: 0.3520 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.3981 40/124 [========>.....................] - ETA: 0s - loss: 0.3632 82/124 [==================>...........] - ETA: 0s - loss: 0.3484 124/124 [==============================] - 0s 1ms/step - loss: 0.3453 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.2681 45/124 [=========>....................] - ETA: 0s - loss: 0.3572 87/124 [====================>.........] - ETA: 0s - loss: 0.3427 124/124 [==============================] - 0s 1ms/step - loss: 0.3401 -> test with GAN.predict GAN tn, fp: 259, 47 GAN fn, tp: 5, 4 GAN f1 score: 0.133 GAN cohens kappa score: 0.089 -> test with 'LR' LR tn, fp: 232, 74 LR fn, tp: 3, 6 LR f1 score: 0.135 LR cohens kappa score: 0.088 LR average precision score: 0.129 -> test with 'RF' RF tn, fp: 298, 8 RF fn, tp: 8, 1 RF f1 score: 0.111 RF cohens kappa score: 0.085 -> test with 'GB' GB tn, fp: 288, 18 GB fn, tp: 6, 3 GB f1 score: 0.200 GB cohens kappa score: 0.167 -> test with 'KNN' KNN tn, fp: 234, 72 KNN fn, tp: 5, 4 KNN f1 score: 0.094 KNN cohens kappa score: 0.045 ====== Step 3/5 ======= -> Shuffling data -> Spliting data to slices ------ Step 3/5: Slice 1/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1194 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 19s - loss: 0.5418 38/124 [========>.....................] - ETA: 0s - loss: 0.4310  76/124 [=================>............] - ETA: 0s - loss: 0.4020 113/124 [==========================>...] - ETA: 0s - loss: 0.4037 124/124 [==============================] - 0s 1ms/step - loss: 0.4099 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.2629 34/124 [=======>......................] - ETA: 0s - loss: 0.3256 69/124 [===============>..............] - ETA: 0s - loss: 0.3269 104/124 [========================>.....] - ETA: 0s - loss: 0.3318 124/124 [==============================] - 0s 1ms/step - loss: 0.3386 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.1366 39/124 [========>.....................] - ETA: 0s - loss: 0.3030 72/124 [================>.............] - ETA: 0s - loss: 0.3332 102/124 [=======================>......] - ETA: 0s - loss: 0.3282 124/124 [==============================] - 0s 2ms/step - loss: 0.3217 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.3147 33/124 [======>.......................] - ETA: 0s - loss: 0.3550 67/124 [===============>..............] - ETA: 0s - loss: 0.3414 102/124 [=======================>......] - ETA: 0s - loss: 0.3293 124/124 [==============================] - 0s 2ms/step - loss: 0.3168 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.4082 40/124 [========>.....................] - ETA: 0s - loss: 0.3157 77/124 [=================>............] - ETA: 0s - loss: 0.3131 113/124 [==========================>...] - ETA: 0s - loss: 0.3067 124/124 [==============================] - 0s 1ms/step - loss: 0.3032 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.3733 39/124 [========>.....................] - ETA: 0s - loss: 0.2891 75/124 [=================>............] - ETA: 0s - loss: 0.3081 111/124 [=========================>....] - ETA: 0s - loss: 0.3000 124/124 [==============================] - 0s 1ms/step - loss: 0.2969 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.4284 36/124 [=======>......................] - ETA: 0s - loss: 0.3057 66/124 [==============>...............] - ETA: 0s - loss: 0.3043 95/124 [=====================>........] - ETA: 0s - loss: 0.2949 124/124 [==============================] - 0s 2ms/step - loss: 0.2943 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.2993 39/124 [========>.....................] - ETA: 0s - loss: 0.3065 74/124 [================>.............] - ETA: 0s - loss: 0.2996 103/124 [=======================>......] - ETA: 0s - loss: 0.2935 124/124 [==============================] - 0s 1ms/step - loss: 0.2896 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.2075 36/124 [=======>......................] - ETA: 0s - loss: 0.2934 74/124 [================>.............] - ETA: 0s - loss: 0.2802 111/124 [=========================>....] - ETA: 0s - loss: 0.2878 124/124 [==============================] - 0s 1ms/step - loss: 0.2879 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.2888 36/124 [=======>......................] - ETA: 0s - loss: 0.2840 68/124 [===============>..............] - ETA: 0s - loss: 0.3072 103/124 [=======================>......] - ETA: 0s - loss: 0.2883 124/124 [==============================] - 0s 1ms/step - loss: 0.2859 -> test with GAN.predict GAN tn, fp: 259, 51 GAN fn, tp: 7, 4 GAN f1 score: 0.121 GAN cohens kappa score: 0.068 -> test with 'LR' LR tn, fp: 228, 82 LR fn, tp: 4, 7 LR f1 score: 0.140 LR cohens kappa score: 0.084 LR average precision score: 0.149 -> test with 'RF' RF tn, fp: 303, 7 RF fn, tp: 11, 0 RF f1 score: 0.000 RF cohens kappa score: -0.027 -> test with 'GB' GB tn, fp: 295, 15 GB fn, tp: 11, 0 GB f1 score: 0.000 GB cohens kappa score: -0.041 -> test with 'KNN' KNN tn, fp: 248, 62 KNN fn, tp: 9, 2 KNN f1 score: 0.053 KNN cohens kappa score: -0.005 ------ Step 3/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1194 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 18s - loss: 0.1916 41/124 [========>.....................] - ETA: 0s - loss: 0.6438  81/124 [==================>...........] - ETA: 0s - loss: 0.5740 123/124 [============================>.] - ETA: 0s - loss: 0.5279 124/124 [==============================] - 0s 1ms/step - loss: 0.5280 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.6911 43/124 [=========>....................] - ETA: 0s - loss: 0.4192 84/124 [===================>..........] - ETA: 0s - loss: 0.4273 124/124 [==============================] - 0s 1ms/step - loss: 0.4296 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.4670 40/124 [========>.....................] - ETA: 0s - loss: 0.4012 74/124 [================>.............] - ETA: 0s - loss: 0.4009 109/124 [=========================>....] - ETA: 0s - loss: 0.4094 124/124 [==============================] - 0s 1ms/step - loss: 0.4046 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.4873 42/124 [=========>....................] - ETA: 0s - loss: 0.4171 83/124 [===================>..........] - ETA: 0s - loss: 0.4016 124/124 [==============================] - ETA: 0s - loss: 0.3889 124/124 [==============================] - 0s 1ms/step - loss: 0.3889 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.5633 41/124 [========>.....................] - ETA: 0s - loss: 0.3521 83/124 [===================>..........] - ETA: 0s - loss: 0.3670 122/124 [============================>.] - ETA: 0s - loss: 0.3739 124/124 [==============================] - 0s 1ms/step - loss: 0.3733 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.2612 42/124 [=========>....................] - ETA: 0s - loss: 0.3430 84/124 [===================>..........] - ETA: 0s - loss: 0.3674 124/124 [==============================] - 0s 1ms/step - loss: 0.3719 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.5045 42/124 [=========>....................] - ETA: 0s - loss: 0.3790 83/124 [===================>..........] - ETA: 0s - loss: 0.3591 124/124 [==============================] - ETA: 0s - loss: 0.3614 124/124 [==============================] - 0s 1ms/step - loss: 0.3614 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.3038 41/124 [========>.....................] - ETA: 0s - loss: 0.3775 83/124 [===================>..........] - ETA: 0s - loss: 0.3564 124/124 [==============================] - ETA: 0s - loss: 0.3584 124/124 [==============================] - 0s 1ms/step - loss: 0.3584 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.2652 42/124 [=========>....................] - ETA: 0s - loss: 0.3127 83/124 [===================>..........] - ETA: 0s - loss: 0.3693 124/124 [==============================] - ETA: 0s - loss: 0.3711 124/124 [==============================] - 0s 1ms/step - loss: 0.3711 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.1970 40/124 [========>.....................] - ETA: 0s - loss: 0.3233 81/124 [==================>...........] - ETA: 0s - loss: 0.3585 120/124 [============================>.] - ETA: 0s - loss: 0.3541 124/124 [==============================] - 0s 1ms/step - loss: 0.3505 -> test with GAN.predict GAN tn, fp: 241, 69 GAN fn, tp: 6, 5 GAN f1 score: 0.118 GAN cohens kappa score: 0.062 -> test with 'LR' LR tn, fp: 220, 90 LR fn, tp: 3, 8 LR f1 score: 0.147 LR cohens kappa score: 0.091 LR average precision score: 0.263 -> test with 'RF' RF tn, fp: 298, 12 RF fn, tp: 10, 1 RF f1 score: 0.083 RF cohens kappa score: 0.048 -> test with 'GB' GB tn, fp: 289, 21 GB fn, tp: 9, 2 GB f1 score: 0.118 GB cohens kappa score: 0.075 -> test with 'KNN' KNN tn, fp: 234, 76 KNN fn, tp: 7, 4 KNN f1 score: 0.088 KNN cohens kappa score: 0.029 ------ Step 3/5: Slice 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1194 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 21s - loss: 0.1274 41/124 [========>.....................] - ETA: 0s - loss: 0.4557  81/124 [==================>...........] - ETA: 0s - loss: 0.4588 122/124 [============================>.] - ETA: 0s - loss: 0.4260 124/124 [==============================] - 0s 1ms/step - loss: 0.4272 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.1995 41/124 [========>.....................] - ETA: 0s - loss: 0.3197 81/124 [==================>...........] - ETA: 0s - loss: 0.3541 121/124 [============================>.] - ETA: 0s - loss: 0.3364 124/124 [==============================] - 0s 1ms/step - loss: 0.3370 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.3472 39/124 [========>.....................] - ETA: 0s - loss: 0.2756 79/124 [==================>...........] - ETA: 0s - loss: 0.3316 117/124 [===========================>..] - ETA: 0s - loss: 0.3276 124/124 [==============================] - 0s 1ms/step - loss: 0.3303 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.2259 42/124 [=========>....................] - ETA: 0s - loss: 0.3052 82/124 [==================>...........] - ETA: 0s - loss: 0.3090 123/124 [============================>.] - ETA: 0s - loss: 0.3112 124/124 [==============================] - 0s 1ms/step - loss: 0.3111 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.3681 37/124 [=======>......................] - ETA: 0s - loss: 0.3035 79/124 [==================>...........] - ETA: 0s - loss: 0.2979 119/124 [===========================>..] - ETA: 0s - loss: 0.2983 124/124 [==============================] - 0s 1ms/step - loss: 0.2999 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.4165 40/124 [========>.....................] - ETA: 0s - loss: 0.3020 78/124 [=================>............] - ETA: 0s - loss: 0.3029 119/124 [===========================>..] - ETA: 0s - loss: 0.2945 124/124 [==============================] - 0s 1ms/step - loss: 0.2986 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.2397 41/124 [========>.....................] - ETA: 0s - loss: 0.2761 81/124 [==================>...........] - ETA: 0s - loss: 0.2823 121/124 [============================>.] - ETA: 0s - loss: 0.2890 124/124 [==============================] - 0s 1ms/step - loss: 0.2905 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.3597 41/124 [========>.....................] - ETA: 0s - loss: 0.2815 79/124 [==================>...........] - ETA: 0s - loss: 0.2881 119/124 [===========================>..] - ETA: 0s - loss: 0.2897 124/124 [==============================] - 0s 1ms/step - loss: 0.2878 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.2643 40/124 [========>.....................] - ETA: 0s - loss: 0.2631 80/124 [==================>...........] - ETA: 0s - loss: 0.2900 119/124 [===========================>..] - ETA: 0s - loss: 0.2851 124/124 [==============================] - 0s 1ms/step - loss: 0.2839 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.2677 36/124 [=======>......................] - ETA: 0s - loss: 0.3103 68/124 [===============>..............] - ETA: 0s - loss: 0.3081 104/124 [========================>.....] - ETA: 0s - loss: 0.2933 124/124 [==============================] - 0s 1ms/step - loss: 0.2818 -> test with GAN.predict GAN tn, fp: 247, 63 GAN fn, tp: 11, 0 GAN f1 score: 0.000 GAN cohens kappa score: -0.062 -> test with 'LR' LR tn, fp: 221, 89 LR fn, tp: 5, 6 LR f1 score: 0.113 LR cohens kappa score: 0.055 LR average precision score: 0.084 -> test with 'RF' RF tn, fp: 301, 9 RF fn, tp: 11, 0 RF f1 score: 0.000 RF cohens kappa score: -0.032 -> test with 'GB' GB tn, fp: 292, 18 GB fn, tp: 11, 0 GB f1 score: 0.000 GB cohens kappa score: -0.044 -> test with 'KNN' KNN tn, fp: 244, 66 KNN fn, tp: 10, 1 KNN f1 score: 0.026 KNN cohens kappa score: -0.035 ------ Step 3/5: Slice 4/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1194 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 20s - loss: 0.3934 38/124 [========>.....................] - ETA: 0s - loss: 0.5362  76/124 [=================>............] - ETA: 0s - loss: 0.5544 114/124 [==========================>...] - ETA: 0s - loss: 0.5306 124/124 [==============================] - 0s 1ms/step - loss: 0.5284 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.2894 39/124 [========>.....................] - ETA: 0s - loss: 0.4588 78/124 [=================>............] - ETA: 0s - loss: 0.4518 113/124 [==========================>...] - ETA: 0s - loss: 0.4703 124/124 [==============================] - 0s 1ms/step - loss: 0.4706 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.4740 40/124 [========>.....................] - ETA: 0s - loss: 0.4256 78/124 [=================>............] - ETA: 0s - loss: 0.4283 118/124 [===========================>..] - ETA: 0s - loss: 0.4332 124/124 [==============================] - 0s 1ms/step - loss: 0.4368 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.2331 42/124 [=========>....................] - ETA: 0s - loss: 0.4238 81/124 [==================>...........] - ETA: 0s - loss: 0.4253 120/124 [============================>.] - ETA: 0s - loss: 0.4205 124/124 [==============================] - 0s 1ms/step - loss: 0.4185 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.3352 40/124 [========>.....................] - ETA: 0s - loss: 0.4160 79/124 [==================>...........] - ETA: 0s - loss: 0.4163 117/124 [===========================>..] - ETA: 0s - loss: 0.4119 124/124 [==============================] - 0s 1ms/step - loss: 0.4108 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.4270 33/124 [======>.......................] - ETA: 0s - loss: 0.3788 66/124 [==============>...............] - ETA: 0s - loss: 0.4056 101/124 [=======================>......] - ETA: 0s - loss: 0.4030 124/124 [==============================] - 0s 1ms/step - loss: 0.4042 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.1761 37/124 [=======>......................] - ETA: 0s - loss: 0.3779 73/124 [================>.............] - ETA: 0s - loss: 0.3901 112/124 [==========================>...] - ETA: 0s - loss: 0.4007 124/124 [==============================] - 0s 1ms/step - loss: 0.4009 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.3686 35/124 [=======>......................] - ETA: 0s - loss: 0.3796 74/124 [================>.............] - ETA: 0s - loss: 0.3940 114/124 [==========================>...] - ETA: 0s - loss: 0.4016 124/124 [==============================] - 0s 1ms/step - loss: 0.4019 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.4916 41/124 [========>.....................] - ETA: 0s - loss: 0.3930 81/124 [==================>...........] - ETA: 0s - loss: 0.3944 121/124 [============================>.] - ETA: 0s - loss: 0.3909 124/124 [==============================] - 0s 1ms/step - loss: 0.3922 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.1687 41/124 [========>.....................] - ETA: 0s - loss: 0.4188 81/124 [==================>...........] - ETA: 0s - loss: 0.4016 122/124 [============================>.] - ETA: 0s - loss: 0.3996 124/124 [==============================] - 0s 1ms/step - loss: 0.4003 -> test with GAN.predict GAN tn, fp: 229, 81 GAN fn, tp: 5, 6 GAN f1 score: 0.122 GAN cohens kappa score: 0.066 -> test with 'LR' LR tn, fp: 204, 106 LR fn, tp: 2, 9 LR f1 score: 0.143 LR cohens kappa score: 0.086 LR average precision score: 0.182 -> test with 'RF' RF tn, fp: 303, 7 RF fn, tp: 10, 1 RF f1 score: 0.105 RF cohens kappa score: 0.079 -> test with 'GB' GB tn, fp: 285, 25 GB fn, tp: 10, 1 GB f1 score: 0.054 GB cohens kappa score: 0.006 -> test with 'KNN' KNN tn, fp: 222, 88 KNN fn, tp: 7, 4 KNN f1 score: 0.078 KNN cohens kappa score: 0.018 ------ Step 3/5: Slice 5/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1196 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 17s - loss: 0.4913 44/124 [=========>....................] - ETA: 0s - loss: 0.7272  84/124 [===================>..........] - ETA: 0s - loss: 0.6770 122/124 [============================>.] - ETA: 0s - loss: 0.6312 124/124 [==============================] - 0s 1ms/step - loss: 0.6320 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.4811 35/124 [=======>......................] - ETA: 0s - loss: 0.5636 71/124 [================>.............] - ETA: 0s - loss: 0.5101 105/124 [========================>.....] - ETA: 0s - loss: 0.4995 124/124 [==============================] - 0s 1ms/step - loss: 0.4830 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.4288 37/124 [=======>......................] - ETA: 0s - loss: 0.3912 81/124 [==================>...........] - ETA: 0s - loss: 0.4494 121/124 [============================>.] - ETA: 0s - loss: 0.4490 124/124 [==============================] - 0s 1ms/step - loss: 0.4476 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.3214 43/124 [=========>....................] - ETA: 0s - loss: 0.4363 84/124 [===================>..........] - ETA: 0s - loss: 0.4387 124/124 [==============================] - 0s 1ms/step - loss: 0.4337 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.4948 43/124 [=========>....................] - ETA: 0s - loss: 0.4223 86/124 [===================>..........] - ETA: 0s - loss: 0.4201 124/124 [==============================] - 0s 1ms/step - loss: 0.4200 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.2605 45/124 [=========>....................] - ETA: 0s - loss: 0.4251 88/124 [====================>.........] - ETA: 0s - loss: 0.4082 124/124 [==============================] - 0s 1ms/step - loss: 0.4275 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.3331 45/124 [=========>....................] - ETA: 0s - loss: 0.4224 89/124 [====================>.........] - ETA: 0s - loss: 0.4015 124/124 [==============================] - 0s 1ms/step - loss: 0.4100 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.5594 45/124 [=========>....................] - ETA: 0s - loss: 0.4076 89/124 [====================>.........] - ETA: 0s - loss: 0.3980 124/124 [==============================] - 0s 1ms/step - loss: 0.4074 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.3166 42/124 [=========>....................] - ETA: 0s - loss: 0.3918 85/124 [===================>..........] - ETA: 0s - loss: 0.3971 124/124 [==============================] - 0s 1ms/step - loss: 0.4036 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.2893 45/124 [=========>....................] - ETA: 0s - loss: 0.4143 88/124 [====================>.........] - ETA: 0s - loss: 0.3988 124/124 [==============================] - 0s 1ms/step - loss: 0.3994 -> test with GAN.predict GAN tn, fp: 244, 62 GAN fn, tp: 4, 5 GAN f1 score: 0.132 GAN cohens kappa score: 0.086 -> test with 'LR' LR tn, fp: 223, 83 LR fn, tp: 3, 6 LR f1 score: 0.122 LR cohens kappa score: 0.074 LR average precision score: 0.195 -> test with 'RF' RF tn, fp: 295, 11 RF fn, tp: 8, 1 RF f1 score: 0.095 RF cohens kappa score: 0.065 -> test with 'GB' GB tn, fp: 287, 19 GB fn, tp: 6, 3 GB f1 score: 0.194 GB cohens kappa score: 0.159 -> test with 'KNN' KNN tn, fp: 214, 92 KNN fn, tp: 8, 1 KNN f1 score: 0.020 KNN cohens kappa score: -0.034 ====== Step 4/5 ======= -> Shuffling data -> Spliting data to slices ------ Step 4/5: Slice 1/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1194 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 47s - loss: 0.9576 43/124 [=========>....................] - ETA: 0s - loss: 0.6818  85/124 [===================>..........] - ETA: 0s - loss: 0.6440 124/124 [==============================] - 1s 1ms/step - loss: 0.6142 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.5135 44/124 [=========>....................] - ETA: 0s - loss: 0.5162 86/124 [===================>..........] - ETA: 0s - loss: 0.5276 124/124 [==============================] - 0s 1ms/step - loss: 0.5062 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.7005 42/124 [=========>....................] - ETA: 0s - loss: 0.4803 85/124 [===================>..........] - ETA: 0s - loss: 0.4851 124/124 [==============================] - 0s 1ms/step - loss: 0.4663 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.4601 43/124 [=========>....................] - ETA: 0s - loss: 0.4472 85/124 [===================>..........] - ETA: 0s - loss: 0.4578 124/124 [==============================] - 0s 1ms/step - loss: 0.4487 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.5454 41/124 [========>.....................] - ETA: 0s - loss: 0.4564 83/124 [===================>..........] - ETA: 0s - loss: 0.4408 123/124 [============================>.] - ETA: 0s - loss: 0.4396 124/124 [==============================] - 0s 1ms/step - loss: 0.4400 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.4763 43/124 [=========>....................] - ETA: 0s - loss: 0.4615 85/124 [===================>..........] - ETA: 0s - loss: 0.4395 124/124 [==============================] - 0s 1ms/step - loss: 0.4282 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.2744 39/124 [========>.....................] - ETA: 0s - loss: 0.4198 77/124 [=================>............] - ETA: 0s - loss: 0.4175 121/124 [============================>.] - ETA: 0s - loss: 0.4271 124/124 [==============================] - 0s 1ms/step - loss: 0.4264 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.4973 45/124 [=========>....................] - ETA: 0s - loss: 0.3911 89/124 [====================>.........] - ETA: 0s - loss: 0.4057 124/124 [==============================] - 0s 1ms/step - loss: 0.4194 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.2690 43/124 [=========>....................] - ETA: 0s - loss: 0.4242 86/124 [===================>..........] - ETA: 0s - loss: 0.4312 124/124 [==============================] - 0s 1ms/step - loss: 0.4304 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.2745 43/124 [=========>....................] - ETA: 0s - loss: 0.4281 82/124 [==================>...........] - ETA: 0s - loss: 0.4093 124/124 [==============================] - 0s 1ms/step - loss: 0.4112 -> test with GAN.predict GAN tn, fp: 261, 49 GAN fn, tp: 6, 5 GAN f1 score: 0.154 GAN cohens kappa score: 0.103 -> test with 'LR' LR tn, fp: 225, 85 LR fn, tp: 2, 9 LR f1 score: 0.171 LR cohens kappa score: 0.117 LR average precision score: 0.358 -> test with 'RF' RF tn, fp: 301, 9 RF fn, tp: 11, 0 RF f1 score: 0.000 RF cohens kappa score: -0.032 -> test with 'GB' GB tn, fp: 298, 12 GB fn, tp: 7, 4 GB f1 score: 0.296 GB cohens kappa score: 0.267 -> test with 'KNN' KNN tn, fp: 221, 89 KNN fn, tp: 7, 4 KNN f1 score: 0.077 KNN cohens kappa score: 0.017 ------ Step 4/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1194 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 22s - loss: 0.9153 41/124 [========>.....................] - ETA: 0s - loss: 0.5207  81/124 [==================>...........] - ETA: 0s - loss: 0.5073 121/124 [============================>.] - ETA: 0s - loss: 0.4813 124/124 [==============================] - 0s 1ms/step - loss: 0.4813 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.4282 39/124 [========>.....................] - ETA: 0s - loss: 0.4903 77/124 [=================>............] - ETA: 0s - loss: 0.4630 116/124 [===========================>..] - ETA: 0s - loss: 0.4495 124/124 [==============================] - 0s 1ms/step - loss: 0.4486 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.2774 40/124 [========>.....................] - ETA: 0s - loss: 0.4358 80/124 [==================>...........] - ETA: 0s - loss: 0.4285 120/124 [============================>.] - ETA: 0s - loss: 0.4186 124/124 [==============================] - 0s 1ms/step - loss: 0.4191 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.3627 38/124 [========>.....................] - ETA: 0s - loss: 0.3936 78/124 [=================>............] - ETA: 0s - loss: 0.4031 116/124 [===========================>..] - ETA: 0s - loss: 0.3997 124/124 [==============================] - 0s 1ms/step - loss: 0.4030 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.2136 37/124 [=======>......................] - ETA: 0s - loss: 0.3786 76/124 [=================>............] - ETA: 0s - loss: 0.3847 108/124 [=========================>....] - ETA: 0s - loss: 0.3935 124/124 [==============================] - 0s 1ms/step - loss: 0.4018 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.5330 35/124 [=======>......................] - ETA: 0s - loss: 0.4233 72/124 [================>.............] - ETA: 0s - loss: 0.4137 103/124 [=======================>......] - ETA: 0s - loss: 0.4211 124/124 [==============================] - 0s 1ms/step - loss: 0.4143 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.3567 35/124 [=======>......................] - ETA: 0s - loss: 0.3957 66/124 [==============>...............] - ETA: 0s - loss: 0.3880 102/124 [=======================>......] - ETA: 0s - loss: 0.3827 124/124 [==============================] - 0s 2ms/step - loss: 0.3883 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.3310 36/124 [=======>......................] - ETA: 0s - loss: 0.3905 74/124 [================>.............] - ETA: 0s - loss: 0.3816 108/124 [=========================>....] - ETA: 0s - loss: 0.3816 124/124 [==============================] - 0s 1ms/step - loss: 0.3851 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.2446 37/124 [=======>......................] - ETA: 0s - loss: 0.3952 76/124 [=================>............] - ETA: 0s - loss: 0.3883 112/124 [==========================>...] - ETA: 0s - loss: 0.3889 124/124 [==============================] - 0s 1ms/step - loss: 0.3889 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.4332 32/124 [======>.......................] - ETA: 0s - loss: 0.3797 59/124 [=============>................] - ETA: 0s - loss: 0.3845 91/124 [=====================>........] - ETA: 0s - loss: 0.3760 124/124 [==============================] - 0s 2ms/step - loss: 0.3781 -> test with GAN.predict GAN tn, fp: 246, 64 GAN fn, tp: 7, 4 GAN f1 score: 0.101 GAN cohens kappa score: 0.045 -> test with 'LR' LR tn, fp: 207, 103 LR fn, tp: 3, 8 LR f1 score: 0.131 LR cohens kappa score: 0.073 LR average precision score: 0.192 -> test with 'RF' RF tn, fp: 300, 10 RF fn, tp: 10, 1 RF f1 score: 0.091 RF cohens kappa score: 0.059 -> test with 'GB' GB tn, fp: 288, 22 GB fn, tp: 9, 2 GB f1 score: 0.114 GB cohens kappa score: 0.071 -> test with 'KNN' KNN tn, fp: 211, 99 KNN fn, tp: 10, 1 KNN f1 score: 0.018 KNN cohens kappa score: -0.047 ------ Step 4/5: Slice 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1194 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 21s - loss: 0.7789 42/124 [=========>....................] - ETA: 0s - loss: 0.7152  83/124 [===================>..........] - ETA: 0s - loss: 0.6042 124/124 [==============================] - ETA: 0s - loss: 0.5371 124/124 [==============================] - 0s 1ms/step - loss: 0.5371 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.3248 40/124 [========>.....................] - ETA: 0s - loss: 0.4305 72/124 [================>.............] - ETA: 0s - loss: 0.4662 106/124 [========================>.....] - ETA: 0s - loss: 0.4372 124/124 [==============================] - 0s 1ms/step - loss: 0.4201 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.6167 40/124 [========>.....................] - ETA: 0s - loss: 0.3929 80/124 [==================>...........] - ETA: 0s - loss: 0.3914 120/124 [============================>.] - ETA: 0s - loss: 0.3869 124/124 [==============================] - 0s 1ms/step - loss: 0.3880 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.4670 39/124 [========>.....................] - ETA: 0s - loss: 0.3546 81/124 [==================>...........] - ETA: 0s - loss: 0.3504 122/124 [============================>.] - ETA: 0s - loss: 0.3669 124/124 [==============================] - 0s 1ms/step - loss: 0.3654 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.5001 41/124 [========>.....................] - ETA: 0s - loss: 0.3874 82/124 [==================>...........] - ETA: 0s - loss: 0.3681 123/124 [============================>.] - ETA: 0s - loss: 0.3575 124/124 [==============================] - 0s 1ms/step - loss: 0.3576 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.5917 42/124 [=========>....................] - ETA: 0s - loss: 0.3436 81/124 [==================>...........] - ETA: 0s - loss: 0.3592 120/124 [============================>.] - ETA: 0s - loss: 0.3555 124/124 [==============================] - 0s 1ms/step - loss: 0.3542 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.1769 41/124 [========>.....................] - ETA: 0s - loss: 0.3300 82/124 [==================>...........] - ETA: 0s - loss: 0.3202 122/124 [============================>.] - ETA: 0s - loss: 0.3394 124/124 [==============================] - 0s 1ms/step - loss: 0.3389 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.2382 40/124 [========>.....................] - ETA: 0s - loss: 0.3232 74/124 [================>.............] - ETA: 0s - loss: 0.3300 110/124 [=========================>....] - ETA: 0s - loss: 0.3344 124/124 [==============================] - 0s 1ms/step - loss: 0.3327 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.1694 36/124 [=======>......................] - ETA: 0s - loss: 0.3268 78/124 [=================>............] - ETA: 0s - loss: 0.3152 119/124 [===========================>..] - ETA: 0s - loss: 0.3266 124/124 [==============================] - 0s 1ms/step - loss: 0.3278 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.3501 41/124 [========>.....................] - ETA: 0s - loss: 0.3440 77/124 [=================>............] - ETA: 0s - loss: 0.3487 116/124 [===========================>..] - ETA: 0s - loss: 0.3314 124/124 [==============================] - 0s 1ms/step - loss: 0.3285 -> test with GAN.predict GAN tn, fp: 259, 51 GAN fn, tp: 10, 1 GAN f1 score: 0.032 GAN cohens kappa score: -0.026 -> test with 'LR' LR tn, fp: 237, 73 LR fn, tp: 6, 5 LR f1 score: 0.112 LR cohens kappa score: 0.056 LR average precision score: 0.085 -> test with 'RF' RF tn, fp: 299, 11 RF fn, tp: 9, 2 RF f1 score: 0.167 RF cohens kappa score: 0.135 -> test with 'GB' GB tn, fp: 290, 20 GB fn, tp: 10, 1 GB f1 score: 0.062 GB cohens kappa score: 0.018 -> test with 'KNN' KNN tn, fp: 236, 74 KNN fn, tp: 9, 2 KNN f1 score: 0.046 KNN cohens kappa score: -0.015 ------ Step 4/5: Slice 4/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1194 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 19s - loss: 0.8353 41/124 [========>.....................] - ETA: 0s - loss: 0.5158  81/124 [==================>...........] - ETA: 0s - loss: 0.4426 121/124 [============================>.] - ETA: 0s - loss: 0.4346 124/124 [==============================] - 0s 1ms/step - loss: 0.4363 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.2638 39/124 [========>.....................] - ETA: 0s - loss: 0.3783 79/124 [==================>...........] - ETA: 0s - loss: 0.3428 119/124 [===========================>..] - ETA: 0s - loss: 0.3249 124/124 [==============================] - 0s 1ms/step - loss: 0.3264 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.1058 41/124 [========>.....................] - ETA: 0s - loss: 0.3407 81/124 [==================>...........] - ETA: 0s - loss: 0.3330 120/124 [============================>.] - ETA: 0s - loss: 0.3195 124/124 [==============================] - 0s 1ms/step - loss: 0.3211 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.1657 42/124 [=========>....................] - ETA: 0s - loss: 0.3011 83/124 [===================>..........] - ETA: 0s - loss: 0.3066 123/124 [============================>.] - ETA: 0s - loss: 0.3006 124/124 [==============================] - 0s 1ms/step - loss: 0.3004 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.1519 40/124 [========>.....................] - ETA: 0s - loss: 0.2979 74/124 [================>.............] - ETA: 0s - loss: 0.3054 108/124 [=========================>....] - ETA: 0s - loss: 0.3004 124/124 [==============================] - 0s 1ms/step - loss: 0.2900 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.2431 40/124 [========>.....................] - ETA: 0s - loss: 0.3128 78/124 [=================>............] - ETA: 0s - loss: 0.2948 118/124 [===========================>..] - ETA: 0s - loss: 0.2829 124/124 [==============================] - 0s 1ms/step - loss: 0.2818 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.1996 42/124 [=========>....................] - ETA: 0s - loss: 0.2470 83/124 [===================>..........] - ETA: 0s - loss: 0.2743 123/124 [============================>.] - ETA: 0s - loss: 0.2764 124/124 [==============================] - 0s 1ms/step - loss: 0.2761 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.4165 42/124 [=========>....................] - ETA: 0s - loss: 0.2587 82/124 [==================>...........] - ETA: 0s - loss: 0.2614 123/124 [============================>.] - ETA: 0s - loss: 0.2838 124/124 [==============================] - 0s 1ms/step - loss: 0.2846 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.5761 40/124 [========>.....................] - ETA: 0s - loss: 0.2954 80/124 [==================>...........] - ETA: 0s - loss: 0.2786 119/124 [===========================>..] - ETA: 0s - loss: 0.2781 124/124 [==============================] - 0s 1ms/step - loss: 0.2818 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.2695 41/124 [========>.....................] - ETA: 0s - loss: 0.2936 82/124 [==================>...........] - ETA: 0s - loss: 0.2740 119/124 [===========================>..] - ETA: 0s - loss: 0.2664 124/124 [==============================] - 0s 1ms/step - loss: 0.2702 -> test with GAN.predict GAN tn, fp: 265, 45 GAN fn, tp: 7, 4 GAN f1 score: 0.133 GAN cohens kappa score: 0.082 -> test with 'LR' LR tn, fp: 219, 91 LR fn, tp: 1, 10 LR f1 score: 0.179 LR cohens kappa score: 0.124 LR average precision score: 0.155 -> test with 'RF' RF tn, fp: 308, 2 RF fn, tp: 10, 1 RF f1 score: 0.143 RF cohens kappa score: 0.130 -> test with 'GB' GB tn, fp: 299, 11 GB fn, tp: 9, 2 GB f1 score: 0.167 GB cohens kappa score: 0.135 -> test with 'KNN' KNN tn, fp: 251, 59 KNN fn, tp: 8, 3 KNN f1 score: 0.082 KNN cohens kappa score: 0.025 ------ Step 4/5: Slice 5/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1196 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 22s - loss: 0.4158 34/124 [=======>......................] - ETA: 0s - loss: 0.5691  64/124 [==============>...............] - ETA: 0s - loss: 0.5141 99/124 [======================>.......] - ETA: 0s - loss: 0.4847 124/124 [==============================] - 0s 2ms/step - loss: 0.4578 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.2113 34/124 [=======>......................] - ETA: 0s - loss: 0.4182 73/124 [================>.............] - ETA: 0s - loss: 0.3872 111/124 [=========================>....] - ETA: 0s - loss: 0.3726 124/124 [==============================] - 0s 1ms/step - loss: 0.3682 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.2685 42/124 [=========>....................] - ETA: 0s - loss: 0.3386 79/124 [==================>...........] - ETA: 0s - loss: 0.3707 117/124 [===========================>..] - ETA: 0s - loss: 0.3501 124/124 [==============================] - 0s 1ms/step - loss: 0.3459 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.3850 38/124 [========>.....................] - ETA: 0s - loss: 0.3012 76/124 [=================>............] - ETA: 0s - loss: 0.3185 109/124 [=========================>....] - ETA: 0s - loss: 0.3190 124/124 [==============================] - 0s 1ms/step - loss: 0.3252 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.5876 39/124 [========>.....................] - ETA: 0s - loss: 0.3135 73/124 [================>.............] - ETA: 0s - loss: 0.3152 112/124 [==========================>...] - ETA: 0s - loss: 0.3194 124/124 [==============================] - 0s 1ms/step - loss: 0.3176 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.3299 39/124 [========>.....................] - ETA: 0s - loss: 0.3305 79/124 [==================>...........] - ETA: 0s - loss: 0.3133 118/124 [===========================>..] - ETA: 0s - loss: 0.3134 124/124 [==============================] - 0s 1ms/step - loss: 0.3104 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.2709 41/124 [========>.....................] - ETA: 0s - loss: 0.3134 82/124 [==================>...........] - ETA: 0s - loss: 0.3089 120/124 [============================>.] - ETA: 0s - loss: 0.3277 124/124 [==============================] - 0s 1ms/step - loss: 0.3281 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.4927 42/124 [=========>....................] - ETA: 0s - loss: 0.3168 82/124 [==================>...........] - ETA: 0s - loss: 0.3329 119/124 [===========================>..] - ETA: 0s - loss: 0.3173 124/124 [==============================] - 0s 1ms/step - loss: 0.3141 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.4386 41/124 [========>.....................] - ETA: 0s - loss: 0.2631 77/124 [=================>............] - ETA: 0s - loss: 0.2897 118/124 [===========================>..] - ETA: 0s - loss: 0.2964 124/124 [==============================] - 0s 1ms/step - loss: 0.2962 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.1597 36/124 [=======>......................] - ETA: 0s - loss: 0.2771 71/124 [================>.............] - ETA: 0s - loss: 0.2919 106/124 [========================>.....] - ETA: 0s - loss: 0.2953 124/124 [==============================] - 0s 1ms/step - loss: 0.2921 -> test with GAN.predict GAN tn, fp: 261, 45 GAN fn, tp: 7, 2 GAN f1 score: 0.071 GAN cohens kappa score: 0.025 -> test with 'LR' LR tn, fp: 221, 85 LR fn, tp: 7, 2 LR f1 score: 0.042 LR cohens kappa score: -0.011 LR average precision score: 0.034 -> test with 'RF' RF tn, fp: 287, 19 RF fn, tp: 8, 1 RF f1 score: 0.069 RF cohens kappa score: 0.031 -> test with 'GB' GB tn, fp: 274, 32 GB fn, tp: 9, 0 GB f1 score: 0.000 GB cohens kappa score: -0.047 -> test with 'KNN' KNN tn, fp: 210, 96 KNN fn, tp: 6, 3 KNN f1 score: 0.056 KNN cohens kappa score: 0.003 ====== Step 5/5 ======= -> Shuffling data -> Spliting data to slices ------ Step 5/5: Slice 1/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1194 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 25s - loss: 0.4335 34/124 [=======>......................] - ETA: 0s - loss: 0.3835  71/124 [================>.............] - ETA: 0s - loss: 0.3886 113/124 [==========================>...] - ETA: 0s - loss: 0.3765 124/124 [==============================] - 0s 1ms/step - loss: 0.3750 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.3127 40/124 [========>.....................] - ETA: 0s - loss: 0.3503 79/124 [==================>...........] - ETA: 0s - loss: 0.3450 116/124 [===========================>..] - ETA: 0s - loss: 0.3477 124/124 [==============================] - 0s 1ms/step - loss: 0.3451 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.1957 38/124 [========>.....................] - ETA: 0s - loss: 0.3093 74/124 [================>.............] - ETA: 0s - loss: 0.3081 112/124 [==========================>...] - ETA: 0s - loss: 0.3192 124/124 [==============================] - 0s 1ms/step - loss: 0.3199 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.2097 38/124 [========>.....................] - ETA: 0s - loss: 0.3172 75/124 [=================>............] - ETA: 0s - loss: 0.3287 112/124 [==========================>...] - ETA: 0s - loss: 0.3170 124/124 [==============================] - 0s 1ms/step - loss: 0.3128 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.5155 38/124 [========>.....................] - ETA: 0s - loss: 0.3122 75/124 [=================>............] - ETA: 0s - loss: 0.3054 112/124 [==========================>...] - ETA: 0s - loss: 0.3065 124/124 [==============================] - 0s 1ms/step - loss: 0.3107 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.2430 38/124 [========>.....................] - ETA: 0s - loss: 0.3146 76/124 [=================>............] - ETA: 0s - loss: 0.3073 114/124 [==========================>...] - ETA: 0s - loss: 0.3044 124/124 [==============================] - 0s 1ms/step - loss: 0.3007 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.4606 38/124 [========>.....................] - ETA: 0s - loss: 0.2995 74/124 [================>.............] - ETA: 0s - loss: 0.2939 109/124 [=========================>....] - ETA: 0s - loss: 0.3073 124/124 [==============================] - 0s 1ms/step - loss: 0.2991 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.3377 36/124 [=======>......................] - ETA: 0s - loss: 0.2654 71/124 [================>.............] - ETA: 0s - loss: 0.2880 107/124 [========================>.....] - ETA: 0s - loss: 0.3140 124/124 [==============================] - 0s 1ms/step - loss: 0.3055 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.6092 38/124 [========>.....................] - ETA: 0s - loss: 0.2809 76/124 [=================>............] - ETA: 0s - loss: 0.2765 114/124 [==========================>...] - ETA: 0s - loss: 0.2974 124/124 [==============================] - 0s 1ms/step - loss: 0.3001 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.4026 40/124 [========>.....................] - ETA: 0s - loss: 0.2809 75/124 [=================>............] - ETA: 0s - loss: 0.2934 113/124 [==========================>...] - ETA: 0s - loss: 0.2987 124/124 [==============================] - 0s 1ms/step - loss: 0.2962 -> test with GAN.predict GAN tn, fp: 277, 33 GAN fn, tp: 9, 2 GAN f1 score: 0.087 GAN cohens kappa score: 0.037 -> test with 'LR' LR tn, fp: 225, 85 LR fn, tp: 5, 6 LR f1 score: 0.118 LR cohens kappa score: 0.060 LR average precision score: 0.074 -> test with 'RF' RF tn, fp: 301, 9 RF fn, tp: 11, 0 RF f1 score: 0.000 RF cohens kappa score: -0.032 -> test with 'GB' GB tn, fp: 293, 17 GB fn, tp: 9, 2 GB f1 score: 0.133 GB cohens kappa score: 0.094 -> test with 'KNN' KNN tn, fp: 225, 85 KNN fn, tp: 10, 1 KNN f1 score: 0.021 KNN cohens kappa score: -0.043 ------ Step 5/5: Slice 2/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1194 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 22s - loss: 0.0423 40/124 [========>.....................] - ETA: 0s - loss: 0.3811  79/124 [==================>...........] - ETA: 0s - loss: 0.3635 114/124 [==========================>...] - ETA: 0s - loss: 0.3636 124/124 [==============================] - 0s 1ms/step - loss: 0.3591 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.0690 40/124 [========>.....................] - ETA: 0s - loss: 0.3092 78/124 [=================>............] - ETA: 0s - loss: 0.3120 117/124 [===========================>..] - ETA: 0s - loss: 0.3088 124/124 [==============================] - 0s 1ms/step - loss: 0.3076 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.4537 34/124 [=======>......................] - ETA: 0s - loss: 0.2910 67/124 [===============>..............] - ETA: 0s - loss: 0.3078 99/124 [======================>.......] - ETA: 0s - loss: 0.3003 124/124 [==============================] - 0s 2ms/step - loss: 0.2932 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.3914 40/124 [========>.....................] - ETA: 0s - loss: 0.2574 78/124 [=================>............] - ETA: 0s - loss: 0.2721 115/124 [==========================>...] - ETA: 0s - loss: 0.2744 124/124 [==============================] - 0s 1ms/step - loss: 0.2812 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.0879 39/124 [========>.....................] - ETA: 0s - loss: 0.2782 77/124 [=================>............] - ETA: 0s - loss: 0.2790 116/124 [===========================>..] - ETA: 0s - loss: 0.2859 124/124 [==============================] - 0s 1ms/step - loss: 0.2871 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.5223 39/124 [========>.....................] - ETA: 0s - loss: 0.2917 78/124 [=================>............] - ETA: 0s - loss: 0.3122 116/124 [===========================>..] - ETA: 0s - loss: 0.2822 124/124 [==============================] - 0s 1ms/step - loss: 0.2838 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.4369 39/124 [========>.....................] - ETA: 0s - loss: 0.2529 78/124 [=================>............] - ETA: 0s - loss: 0.2758 117/124 [===========================>..] - ETA: 0s - loss: 0.2684 124/124 [==============================] - 0s 1ms/step - loss: 0.2691 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.1903 39/124 [========>.....................] - ETA: 0s - loss: 0.2635 77/124 [=================>............] - ETA: 0s - loss: 0.2643 115/124 [==========================>...] - ETA: 0s - loss: 0.2651 124/124 [==============================] - 0s 1ms/step - loss: 0.2663 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.1899 39/124 [========>.....................] - ETA: 0s - loss: 0.2712 76/124 [=================>............] - ETA: 0s - loss: 0.2649 114/124 [==========================>...] - ETA: 0s - loss: 0.2730 124/124 [==============================] - 0s 1ms/step - loss: 0.2679 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.0957 39/124 [========>.....................] - ETA: 0s - loss: 0.3001 77/124 [=================>............] - ETA: 0s - loss: 0.2678 115/124 [==========================>...] - ETA: 0s - loss: 0.2625 124/124 [==============================] - 0s 1ms/step - loss: 0.2589 -> test with GAN.predict GAN tn, fp: 265, 45 GAN fn, tp: 9, 2 GAN f1 score: 0.069 GAN cohens kappa score: 0.014 -> test with 'LR' LR tn, fp: 238, 72 LR fn, tp: 6, 5 LR f1 score: 0.114 LR cohens kappa score: 0.057 LR average precision score: 0.099 -> test with 'RF' RF tn, fp: 303, 7 RF fn, tp: 11, 0 RF f1 score: 0.000 RF cohens kappa score: -0.027 -> test with 'GB' GB tn, fp: 298, 12 GB fn, tp: 10, 1 GB f1 score: 0.083 GB cohens kappa score: 0.048 -> test with 'KNN' KNN tn, fp: 251, 59 KNN fn, tp: 8, 3 KNN f1 score: 0.082 KNN cohens kappa score: 0.025 ------ Step 5/5: Slice 3/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1194 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 23s - loss: 0.3188 38/124 [========>.....................] - ETA: 0s - loss: 0.4635  77/124 [=================>............] - ETA: 0s - loss: 0.4083 114/124 [==========================>...] - ETA: 0s - loss: 0.4063 124/124 [==============================] - 0s 1ms/step - loss: 0.4097 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.1996 39/124 [========>.....................] - ETA: 0s - loss: 0.3882 77/124 [=================>............] - ETA: 0s - loss: 0.3517 115/124 [==========================>...] - ETA: 0s - loss: 0.3354 124/124 [==============================] - 0s 1ms/step - loss: 0.3380 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.2897 39/124 [========>.....................] - ETA: 0s - loss: 0.2980 77/124 [=================>............] - ETA: 0s - loss: 0.3264 116/124 [===========================>..] - ETA: 0s - loss: 0.3172 124/124 [==============================] - 0s 1ms/step - loss: 0.3151 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.2186 39/124 [========>.....................] - ETA: 0s - loss: 0.2695 77/124 [=================>............] - ETA: 0s - loss: 0.3026 114/124 [==========================>...] - ETA: 0s - loss: 0.3069 124/124 [==============================] - 0s 1ms/step - loss: 0.3076 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.3682 35/124 [=======>......................] - ETA: 0s - loss: 0.3206 72/124 [================>.............] - ETA: 0s - loss: 0.3024 109/124 [=========================>....] - ETA: 0s - loss: 0.3009 124/124 [==============================] - 0s 1ms/step - loss: 0.3020 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.2587 39/124 [========>.....................] - ETA: 0s - loss: 0.2675 77/124 [=================>............] - ETA: 0s - loss: 0.2803 115/124 [==========================>...] - ETA: 0s - loss: 0.2911 124/124 [==============================] - 0s 1ms/step - loss: 0.2919 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.3229 39/124 [========>.....................] - ETA: 0s - loss: 0.3014 77/124 [=================>............] - ETA: 0s - loss: 0.2823 114/124 [==========================>...] - ETA: 0s - loss: 0.2849 124/124 [==============================] - 0s 1ms/step - loss: 0.2867 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.2488 40/124 [========>.....................] - ETA: 0s - loss: 0.2408 80/124 [==================>...........] - ETA: 0s - loss: 0.2789 115/124 [==========================>...] - ETA: 0s - loss: 0.2861 124/124 [==============================] - 0s 1ms/step - loss: 0.2915 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.3306 35/124 [=======>......................] - ETA: 0s - loss: 0.3134 67/124 [===============>..............] - ETA: 0s - loss: 0.3065 104/124 [========================>.....] - ETA: 0s - loss: 0.2912 124/124 [==============================] - 0s 1ms/step - loss: 0.2840 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.1709 39/124 [========>.....................] - ETA: 0s - loss: 0.2695 76/124 [=================>............] - ETA: 0s - loss: 0.2696 113/124 [==========================>...] - ETA: 0s - loss: 0.2788 124/124 [==============================] - 0s 1ms/step - loss: 0.2814 -> test with GAN.predict GAN tn, fp: 230, 80 GAN fn, tp: 6, 5 GAN f1 score: 0.104 GAN cohens kappa score: 0.046 -> test with 'LR' LR tn, fp: 202, 108 LR fn, tp: 0, 11 LR f1 score: 0.169 LR cohens kappa score: 0.114 LR average precision score: 0.288 -> test with 'RF' RF tn, fp: 306, 4 RF fn, tp: 10, 1 RF f1 score: 0.125 RF cohens kappa score: 0.106 -> test with 'GB' GB tn, fp: 292, 18 GB fn, tp: 10, 1 GB f1 score: 0.067 GB cohens kappa score: 0.024 -> test with 'KNN' KNN tn, fp: 233, 77 KNN fn, tp: 8, 3 KNN f1 score: 0.066 KNN cohens kappa score: 0.006 ------ Step 5/5: Slice 4/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1194 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 22s - loss: 0.6004 40/124 [========>.....................] - ETA: 0s - loss: 0.4404  78/124 [=================>............] - ETA: 0s - loss: 0.4357 117/124 [===========================>..] - ETA: 0s - loss: 0.4111 124/124 [==============================] - 0s 1ms/step - loss: 0.4128 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.1672 39/124 [========>.....................] - ETA: 0s - loss: 0.3647 76/124 [=================>............] - ETA: 0s - loss: 0.3633 113/124 [==========================>...] - ETA: 0s - loss: 0.3617 124/124 [==============================] - 0s 1ms/step - loss: 0.3605 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.3263 38/124 [========>.....................] - ETA: 0s - loss: 0.3845 76/124 [=================>............] - ETA: 0s - loss: 0.3470 114/124 [==========================>...] - ETA: 0s - loss: 0.3520 124/124 [==============================] - 0s 1ms/step - loss: 0.3499 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.4401 39/124 [========>.....................] - ETA: 0s - loss: 0.3437 78/124 [=================>............] - ETA: 0s - loss: 0.3488 117/124 [===========================>..] - ETA: 0s - loss: 0.3400 124/124 [==============================] - 0s 1ms/step - loss: 0.3419 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.3869 39/124 [========>.....................] - ETA: 0s - loss: 0.3329 77/124 [=================>............] - ETA: 0s - loss: 0.3247 116/124 [===========================>..] - ETA: 0s - loss: 0.3337 124/124 [==============================] - 0s 1ms/step - loss: 0.3318 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.2406 38/124 [========>.....................] - ETA: 0s - loss: 0.3073 75/124 [=================>............] - ETA: 0s - loss: 0.3343 113/124 [==========================>...] - ETA: 0s - loss: 0.3397 124/124 [==============================] - 0s 1ms/step - loss: 0.3391 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.2243 39/124 [========>.....................] - ETA: 0s - loss: 0.3540 78/124 [=================>............] - ETA: 0s - loss: 0.3300 116/124 [===========================>..] - ETA: 0s - loss: 0.3428 124/124 [==============================] - 0s 1ms/step - loss: 0.3366 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.2547 35/124 [=======>......................] - ETA: 0s - loss: 0.3571 66/124 [==============>...............] - ETA: 0s - loss: 0.3413 100/124 [=======================>......] - ETA: 0s - loss: 0.3349 124/124 [==============================] - 0s 1ms/step - loss: 0.3211 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.1131 39/124 [========>.....................] - ETA: 0s - loss: 0.3367 77/124 [=================>............] - ETA: 0s - loss: 0.3204 115/124 [==========================>...] - ETA: 0s - loss: 0.3204 124/124 [==============================] - 0s 1ms/step - loss: 0.3165 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.3970 39/124 [========>.....................] - ETA: 0s - loss: 0.3110 73/124 [================>.............] - ETA: 0s - loss: 0.3111 111/124 [=========================>....] - ETA: 0s - loss: 0.3196 124/124 [==============================] - 0s 1ms/step - loss: 0.3188 -> test with GAN.predict GAN tn, fp: 268, 42 GAN fn, tp: 7, 4 GAN f1 score: 0.140 GAN cohens kappa score: 0.090 -> test with 'LR' LR tn, fp: 216, 94 LR fn, tp: 3, 8 LR f1 score: 0.142 LR cohens kappa score: 0.085 LR average precision score: 0.194 -> test with 'RF' RF tn, fp: 299, 11 RF fn, tp: 10, 1 RF f1 score: 0.087 RF cohens kappa score: 0.053 -> test with 'GB' GB tn, fp: 295, 15 GB fn, tp: 8, 3 GB f1 score: 0.207 GB cohens kappa score: 0.172 -> test with 'KNN' KNN tn, fp: 237, 73 KNN fn, tp: 8, 3 KNN f1 score: 0.069 KNN cohens kappa score: 0.010 ------ Step 5/5: Slice 5/5 ------- -> Reset the GAN -> Train generator for synthetic samples -> create 1196 synthetic samples -> retrain GAN for predict Epoch 1/10 1/124 [..............................] - ETA: 18s - loss: 0.4100 41/124 [========>.....................] - ETA: 0s - loss: 0.4977  82/124 [==================>...........] - ETA: 0s - loss: 0.4402 123/124 [============================>.] - ETA: 0s - loss: 0.4175 124/124 [==============================] - 0s 1ms/step - loss: 0.4168 Epoch 2/10 1/124 [..............................] - ETA: 0s - loss: 0.2722 41/124 [========>.....................] - ETA: 0s - loss: 0.3741 81/124 [==================>...........] - ETA: 0s - loss: 0.3690 121/124 [============================>.] - ETA: 0s - loss: 0.3593 124/124 [==============================] - 0s 1ms/step - loss: 0.3592 Epoch 3/10 1/124 [..............................] - ETA: 0s - loss: 0.1912 43/124 [=========>....................] - ETA: 0s - loss: 0.3179 84/124 [===================>..........] - ETA: 0s - loss: 0.3406 124/124 [==============================] - 0s 1ms/step - loss: 0.3350 Epoch 4/10 1/124 [..............................] - ETA: 0s - loss: 0.2902 41/124 [========>.....................] - ETA: 0s - loss: 0.2928 81/124 [==================>...........] - ETA: 0s - loss: 0.3252 119/124 [===========================>..] - ETA: 0s - loss: 0.3351 124/124 [==============================] - 0s 1ms/step - loss: 0.3325 Epoch 5/10 1/124 [..............................] - ETA: 0s - loss: 0.1830 41/124 [========>.....................] - ETA: 0s - loss: 0.2994 82/124 [==================>...........] - ETA: 0s - loss: 0.3217 123/124 [============================>.] - ETA: 0s - loss: 0.3186 124/124 [==============================] - 0s 1ms/step - loss: 0.3208 Epoch 6/10 1/124 [..............................] - ETA: 0s - loss: 0.3573 41/124 [========>.....................] - ETA: 0s - loss: 0.3070 81/124 [==================>...........] - ETA: 0s - loss: 0.3161 118/124 [===========================>..] - ETA: 0s - loss: 0.3109 124/124 [==============================] - 0s 1ms/step - loss: 0.3124 Epoch 7/10 1/124 [..............................] - ETA: 0s - loss: 0.2197 41/124 [========>.....................] - ETA: 0s - loss: 0.3055 81/124 [==================>...........] - ETA: 0s - loss: 0.3053 119/124 [===========================>..] - ETA: 0s - loss: 0.3027 124/124 [==============================] - 0s 1ms/step - loss: 0.3049 Epoch 8/10 1/124 [..............................] - ETA: 0s - loss: 0.0977 38/124 [========>.....................] - ETA: 0s - loss: 0.2935 77/124 [=================>............] - ETA: 0s - loss: 0.3115 111/124 [=========================>....] - ETA: 0s - loss: 0.2998 124/124 [==============================] - 0s 1ms/step - loss: 0.3032 Epoch 9/10 1/124 [..............................] - ETA: 0s - loss: 0.1642 36/124 [=======>......................] - ETA: 0s - loss: 0.3057 75/124 [=================>............] - ETA: 0s - loss: 0.3186 116/124 [===========================>..] - ETA: 0s - loss: 0.3006 124/124 [==============================] - 0s 1ms/step - loss: 0.3056 Epoch 10/10 1/124 [..............................] - ETA: 0s - loss: 0.6262 42/124 [=========>....................] - ETA: 0s - loss: 0.3120 82/124 [==================>...........] - ETA: 0s - loss: 0.2886 122/124 [============================>.] - ETA: 0s - loss: 0.3048 124/124 [==============================] - 0s 1ms/step - loss: 0.3050 -> test with GAN.predict GAN tn, fp: 261, 45 GAN fn, tp: 5, 4 GAN f1 score: 0.138 GAN cohens kappa score: 0.094 -> test with 'LR' LR tn, fp: 238, 68 LR fn, tp: 3, 6 LR f1 score: 0.145 LR cohens kappa score: 0.099 LR average precision score: 0.164 -> test with 'RF' RF tn, fp: 301, 5 RF fn, tp: 8, 1 RF f1 score: 0.133 RF cohens kappa score: 0.113 -> test with 'GB' GB tn, fp: 296, 10 GB fn, tp: 8, 1 GB f1 score: 0.100 GB cohens kappa score: 0.071 -> test with 'KNN' KNN tn, fp: 248, 58 KNN fn, tp: 7, 2 KNN f1 score: 0.058 KNN cohens kappa score: 0.009 ### Exercise is done. -----[ LR ]----- maximum: LR tn, fp: 238, 112 LR fn, tp: 7, 11 LR f1 score: 0.179 LR cohens kappa score: 0.124 LR average precision score: 0.358 average: LR tn, fp: 221.24, 87.96 LR fn, tp: 3.64, 6.96 LR f1 score: 0.131 LR cohens kappa score: 0.076 LR average precision score: 0.171 minimum: LR tn, fp: 198, 68 LR fn, tp: 0, 2 LR f1 score: 0.042 LR cohens kappa score: -0.011 LR average precision score: 0.034 -----[ RF ]----- maximum: RF tn, fp: 308, 19 RF fn, tp: 11, 2 RF f1 score: 0.167 RF cohens kappa score: 0.135 average: RF tn, fp: 300.2, 9.0 RF fn, tp: 9.88, 0.72 RF f1 score: 0.070 RF cohens kappa score: 0.041 minimum: RF tn, fp: 287, 2 RF fn, tp: 8, 0 RF f1 score: 0.000 RF cohens kappa score: -0.035 -----[ GB ]----- maximum: GB tn, fp: 299, 32 GB fn, tp: 11, 4 GB f1 score: 0.296 GB cohens kappa score: 0.267 average: GB tn, fp: 291.24, 17.96 GB fn, tp: 9.08, 1.52 GB f1 score: 0.102 GB cohens kappa score: 0.063 minimum: GB tn, fp: 274, 10 GB fn, tp: 6, 0 GB f1 score: 0.000 GB cohens kappa score: -0.047 -----[ KNN ]----- maximum: KNN tn, fp: 251, 102 KNN fn, tp: 10, 4 KNN f1 score: 0.094 KNN cohens kappa score: 0.045 average: KNN tn, fp: 230.48, 78.72 KNN fn, tp: 7.92, 2.68 KNN f1 score: 0.059 KNN cohens kappa score: 0.000 minimum: KNN tn, fp: 208, 58 KNN fn, tp: 5, 1 KNN f1 score: 0.018 KNN cohens kappa score: -0.047 -----[ GAN ]----- maximum: GAN tn, fp: 288, 87 GAN fn, tp: 11, 6 GAN f1 score: 0.174 GAN cohens kappa score: 0.123 average: GAN tn, fp: 252.2, 57.0 GAN fn, tp: 6.88, 3.72 GAN f1 score: 0.105 GAN cohens kappa score: 0.052 minimum: GAN tn, fp: 223, 22 GAN fn, tp: 4, 0 GAN f1 score: 0.000 GAN cohens kappa score: -0.062