Model Classifier for Binary Classification

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Documentation for package ‘alookr’ version 0.3.9

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

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