tooth-classification

• model training
• inference and evaluation

Evaluation Report

n_train = 0:52, 1:40
n_test  = 0:13, 1:10

              precision    recall  f1-score   support

      1 root       1.00      0.92      0.96        13
  multi-root       0.91      1.00      0.95        10

    accuracy                           0.96        23
   macro avg       0.95      0.96      0.96        23
weighted avg       0.96      0.96      0.96        23

Accuracy: 0.96, 22/23
Crossentropy 0.1343

Confusion Matrix

	(pred, 1 root)	(pred, multi-root)
(ture, 1 root)	12	1
(ture, multi-root)	0	10

Files

notebooks/Nov19
│ 
├── 7_fold_models
│   ├── fold_0_best_model.hdf5
│   ├── fold_1_best_model.hdf5
│   ├── fold_2_best_model.hdf5
│   ├── fold_3_best_model.hdf5
│   ├── fold_4_best_model.hdf5
│   ├── fold_5_best_model.hdf5
│   └── fold_6_best_model.hdf5
├── keras_binary_classification.ipynb
├── keras_kfold_inference.ipynb
└── outputs
    ├── learning_history_df.csv
    ├── oof.csv
    ├── predictions.csv
    ├── test.csv
    └── train.csv

2 directories, 14 files