Calculate standard classification measures

Function for calculating recall, precision, and f1.

Usage

calc_standard_classification_measures(true_values, predicted_values)

Arguments

true_values

factor containing the true labels/categories.

predicted_values

factor containing the predicted labels/categories.

Value

Returns a matrix which contains the cases categories in the rows and the measures (precision, recall, f1) in the columns.

See also

Other Auxiliary Functions: array_to_matrix(), check_embedding_models(), clean_pytorch_log_transformers(), create_iota2_mean_object(), create_synthetic_units(), generate_id(), get_coder_metrics(), get_folds(), get_n_chunks(), get_stratified_train_test_split(), get_synthetic_cases(), get_train_test_split(), is.null_or_na(), matrix_to_array_c(), split_labeled_unlabeled(), summarize_tracked_sustainability(), to_categorical_c()