Mean absolute error (MAE) with [90% confidence intervals] of the three ML models estimating the alexithymia scores (TAS-20; BVAQ-Cognitive; BVAQ-Affective) on the training subset (Italian Train Dataset) and on the three test subsets: The Italian Test Dataset, the U.S. Test Dataset and the Singaporean Test Dataset.
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https://figshare.com/articles/dataset/Mean_absolute_error_MAE_with_90_confidence_intervals_of_the_three_ML_models_estimating_the_alexithymia_scores_TAS-20_BVAQ-Cognitive_BVAQ-Affective_on_the_training_subset_Italian_Train_Dataset_and_on_the_three_test_subsets_The_Italian_Test_D/17191129
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Mean absolute error (MAE) with [90% confidence intervals] of the three ML models estimating the alexithymia scores (TAS-20; BVAQ-Cognitive; BVAQ-Affective) on the training subset (Italian Train Dataset) and on the three test subsets: The Italian Test Dataset, the U.S. Test Dataset and the Singaporean Test Dataset.
创建时间:
2021-12-13



