Outer Cross-Validation with inner split pipeline. The values displayed are validation RMSE values.
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Lower values are associated with better hyperparameter tuning. When two values are displayed (value1/value2), the second value corresponds to the training RMSE. The architecture used was InceptionV3, with an initial learning rate of 0.001. The model was trained on the data folds 2–9, and validated on the data fold #0. The data fold #1 was set aside as the testing set and was not used. (XLSX)
创建时间:
2023-01-24



