results/episode_task_suite/neural_mlp/transition_detection/metrics.json

{
  "accuracy": 0.8735632183908046,
  "balanced_accuracy": 0.666039156626506,
  "macro_f1": 0.5862068965517241,
  "weighted_f1": 0.8993261989694807,
  "num_eval_windows": 348,
  "num_classes": 2,
  "task": "transition_detection",
  "input": "all modalities -> action boundary/steady",
  "split": "chronological",
  "num_windows": 1161,
  "num_train_windows": 813,
  "num_test_windows": 348,
  "feature_dim": 8546,
  "majority_baseline_accuracy": 0.9540229885057471,
  "unseen_test_classes": [],
  "model": "neural_mlp",
  "head": "z-score -> MLP softmax",
  "neural_epochs": 80,
  "neural_hidden_dim": 128,
  "neural_batch_size": 128,
  "neural_learning_rate": 0.001,
  "neural_weight_decay": 0.0001,
  "neural_dropout": 0.1,
  "neural_device": "cpu",
  "train_final_loss": 0.029138497962572854,
  "train_final_accuracy": 0.990159901599016,
  "boundary_precision": 0.07142857142857142,
  "boundary_recall": 0.75,
  "boundary_f1": 0.13043478260869565,
  "matched_boundaries": 3,
  "true_boundaries": 4,
  "predicted_boundaries": 42,
  "mean_abs_timing_error_frames": 2.6666666666666665,
  "task_display_name": "Action Boundary Detection"
}