From: Convolutional neural network models for cancer type prediction based on gene expression
Hyperparameters | Loss | ||||||
---|---|---|---|---|---|---|---|
dense layer size | filter | kernel | stride | mean train_score | stdev train_score | mean test_score | stdev test_score |
128 | 32 | (7, 7) | (1, 1) | 20.999 | 18.228 | 21.281 | 14.904 |
128 | 32 | (7, 7) | (2, 2) | 0.005 | 0.002 | 0.192 | 0.022 |
128 | 32 | (10, 10) | (1, 1) | 21.398 | 18.582 | 21.771 | 15.298 |
128 | 32 | (10, 10) | (2, 2) | 0.009 | 0.003 | 0.187 | 0.008 |
128 | 32 | (20, 20) | (1, 1) | 0.027 | 0.004 | 0.202 | 0.029 |
128 | 32 | (20, 20) | (2, 2) | 0.043 | 0.011 | 0.206 | 0.009 |
128 | 64 | (7, 7) | (1, 1) | 10.213 | 17.688 | 10.566 | 14.618 |
128 | 64 | (7, 7) | (2, 2) | 0.004 | 0.001 | 0.187 | 0.018 |
128 | 64 | (10, 10) | (1, 1) | 31.430 | 1.149 | 31.675 | 1.019 |
128 | 64 | (10, 10) | (2, 2) | 0.012 | 0.006 | 0.177 | 0.014 |
128 | 64 | (20, 20) | (1, 1) | 12.020 | 18.052 | 12.149 | 14.818 |
128 | 64 | (20, 20) | (2, 2) | 0.055 | 0.016 | 0.204 | 0.020 |
512 | 32 | (7, 7) | (1, 1) | 21.245 | 18.419 | 21.175 | 14.815 |
512 | 32 | (7, 7) | (2, 2) | 10.944 | 18.953 | 11.022 | 15.306 |
512 | 32 | (10, 10) | (1, 1) | 10.964 | 18.987 | 11.148 | 15.482 |
512 | 32 | (10, 10) | (2, 2) | 0.003 | 0.001 | 0.213 | 0.025 |
512 | 32 | (20, 20) | (1, 1) | 10.988 | 19.002 | 11.132 | 15.436 |
512 | 32 | (20, 20) | (2, 2) | 1.110 | 1.849 | 1.271 | 1.397 |
512 | 64 | (7, 7) | (1, 1) | 31.430 | 1.149 | 31.675 | 1.019 |
512 | 64 | (7, 7) | (2, 2) | 10.213 | 17.688 | 10.560 | 14.622 |
512 | 64 | (10, 10) | (1, 1) | 31.497 | 1.211 | 31.648 | 1.087 |
512 | 64 | (10, 10) | (2, 2) | 20.628 | 17.858 | 20.481 | 14.363 |
512 | 64 | (20, 20) | (1, 1) | 11.299 | 16.825 | 11.562 | 13.969 |
512 | 64 | (20, 20) | (2, 2) | 12.020 | 18.046 | 12.152 | 14.776 |