General Cross Validation Engine

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Documentation for package ‘gencve’ version 0.3

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

Help Pages

gencve-package	General Cross Validation Engine General Cross Validation Engine
cgcv	Estimate Misclassification Rate Using d-fold Cross-Validation for Class Prediction
churnTest	Customer Churn Data
churnTrain	Customer Churn Data
Detroit	Detroit Homicide Data for 1961-73
dShao	Shao Holdout Sample Size for Linear Regression Variable Selection
featureSelect	Feature Select For Wide Data
fires	Forest Fires in Montesinho Natural Park
gcv	Estimate EPE Using Delete-d Cross-Validation
gencve	General Cross Validation Engine General Cross Validation Engine
kNN_LOOCV	Select k with Leave-one-out CV
kNN_MLE	MLE k in kNN
kyphosis	Data on Children who have had Corrective Spinal Surgery
logloss	log-loss function for multiclass prediction
mae	Mean Absolute Error
mape	Mean Absolute Percentage Error
meatspec	Meat Spectrometry to Determine Fat Content
misclassificationrate	Misclassification Rate for Class Prediction
mse	Mean Square Error Loss
pollution	Pollution Data from McDonald and Schwing
prostate	Prostate Cancer Data
rdigitsBFOS	BFOS Digit Recognition Problem
regal	Regression EPE for All Implemented Methods
rmix	Random Mixture Classification Example
rxor	Random XOR Samples
ShaoReg	Synthetic Regression Data
SinghTest	Singh Prostate Microarray Test Data
SinghTrain	Singh Prostate Microarray Training Data
smape	Mean Absolute Percentage Error
vifx	Variance Inflation Factor
yhat_CART	CART regression prediction
yhat_gel	Elastic Net Regression Prediction
yhat_lars	Fit LASSO Regression using Mallows Cp and Predict
yhat_lm	Linear Predictor using Least-Squares Regression
yhat_nn	Nearest Neighbour Prediction
yhat_plus	SCAD or MCP Regression Prediction
yhat_RF	Fit Random Forest Regression Predictor
yhat_step	Backward Stagewise Regression with AIC or BIC
yhat_SVM	Support Vector Machine Regression Prediction
yh_C50	C50 Prediction
yh_CART	CART Prediction
yh_kNN	kNN or NN prediction
yh_lda	LDA predictions
yh_logistic	Logistic Regression and Regularized Logistic Regression Prediction
yh_NB	Naive Bayes Prediction
yh_NN	kNN or NN prediction
yh_qda	QDA Prediction
yh_RF	Random Forest Prediction
yh_svm	Support Vector Machine Prediction