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Model #1

Parameters

  • training dataset size: 235,738
  • testing dataset size: 28,124
  • hidden units: [100, 75, 50, 25]

Results

  • accuracy: 0.610902
  • accuracy_baseline: 0.5
  • auc: 0.657483
  • auc_precision_recall: 0.644627
  • average_loss: 0.655231
  • global_step: 235882
  • label/mean: 0.5
  • loss: 26.1943
  • prediction/mean: 0.524407

Model #2

Parameters

  • training dataset size: 800,000
  • testing dataset size: 88,888
  • hidden units: [23, 13, 3]

Results

  • accuracy: 0.583858
  • accuracy_baseline: 0.5
  • auc: 0.619257
  • auc_precision_recall: 0.611224
  • average_loss: 0.673288
  • global_step: 21142445
  • label/mean: 0.5
  • loss: 13.4655
  • prediction/mean: 0.499873

Model #3

Using just my own replays.

Parameters

  • total replays: 782
    • training dataset size: 1,404
    • testing dataset size: 160
  • hidden units: [23, 13, 3]

Results

  • accuracy: 0.5875
  • accuracy_baseline: 0.5
  • auc: 0.589453
  • auc_precision_recall: 0.625588
  • average_loss: 0.722218
  • global_step: 589682
  • label/mean: 0.5
  • loss: 1.44444
  • prediction/mean: 0.486236