diagnose: Machine-Learning Model Statistics

In PippintheFoolhardy/SimFunctions: CDI Simulator R Functions

Description

Check model accuracy and statistics using ROC curves and variable importance

Usage

diagnose(model, model_type, train_data, test_data)

Arguments

model	Machine-learning model
model_type	Model type for plotting titles
train_data	Data trained on by the model
test_data	Data to test on by the model

Value

ROC curve and variable importance scores

Examples

importance <- diagnose(gbm_model, "GBM", train, test)

PippintheFoolhardy/SimFunctions documentation built on Dec. 18, 2021, 7:43 a.m.