R: Model Classifier for Binary Classification

# Model Classifier for Binary Classification

## Documentation for package ‘alookr’ version 0.5.1

- 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