cleanse |
Cleansing the dataset for classification modeling |
cleanse.data.frame |
Cleansing the dataset for classification modeling |
cleanse.split_df |
Cleansing the dataset for classification modeling |
compare_diag |
Diagnosis of train set and test set of split_df object |
compare_performance |
Compare model performance |
compare_plot |
Comparison plot of train set and test set |
compare_target_category |
Comparison of categorical variables of train set and test set |
compare_target_numeric |
Comparison of numerical variables of train set and test set |
extract_set |
Extract train/test dataset |
matthews |
Compute Matthews Correlation Coefficient |
performance_metric |
Calculate metrics for model evaluation |
plot_cutoff |
Visualization for cut-off selection |
plot_performance |
Visualization for ROC curve |
run_models |
Fit binary classification model |
run_performance |
Apply calculate performance metrics for model evaluation |
run_predict |
Predict binary classification model |
sampling_target |
Extract the data to fit the model |
split_by |
Split Data into Train and Test Set |
split_by.data.frame |
Split Data into Train and Test Set |
summary.split_df |
Summarizing split_df information |
treatment_corr |
Diagnosis and removal of highly correlated variables |