Utility Functions for Statistical Data Mining

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Documentation for package ‘stats9851’ version 0.2

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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 d-fold Cross-Validation
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
regal Regression EPE for All Implemented Methods
rmix Random Mixture Classification Example
ShaoReg Synthetic Regression Data
smape Mean Absolute Percentage Error
vifx Variance Inflation Factor
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_PCR Principal Component and Partial Least Squares Regression Prediction
yhat_plus SCAD or MCP Regression Prediction
yhat_reg Penalized Regression Prediction with Grpreg
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_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