Stepwise Clustered Ensemble

Documentation for package ‘SCE’ version 1.0.0

Air_quality_testing	Example Air Quality Testing Dataset for the SCE Model
Air_quality_training	Air Quality Training Dataset
Model_simulation	Perform Simulations using a Trained SCE Model
OOB_validation	Calculate Out-of-Bag (OOB) Validation Predictions
RFE_SCE	Recursive Feature Elimination for SCE Models
SCA	Stepwise Cluster Analysis (SCA) Model
SCA_importance	Calculate Variable Importance for a Single SCA Tree
SCA_Model_evaluation	Evaluate SCE and SCA Model Performances
SCA_tree_predict	Make Predictions Using a Single SCA Tree
SCE	Build a Stepwise Clustered Ensemble (SCE) Model
SCE_Model_evaluation	Evaluate SCE and SCA Model Performances
SCE_Prediction	Generate Predictions using an SCE Model
Streamflow_testing_10var	Streamflow Testing Dataset with 10 Variables
Streamflow_testing_22var	Streamflow Testing Dataset with 22 Variables
Streamflow_training_10var	Example Streamflow Training Dataset for the SCE Model (10 variables)
Streamflow_training_22var	Streamflow Training Dataset with 22 Variables
Wilks_importance	Calculate Variable Importance using Wilks' Lambda