|
The training data is fit and then the mis-classifcation rate for the test data is computed.
● Data Source:
CranContrib
● Keywords: classif, models
● Alias: yh_logistic
●
0 images
|
|
BFOS suggested this is data generation model for testing the performance of nonlinear classifiers such as CART. See details and vignette.
● Data Source:
CranContrib
● Keywords: classif, datagen, models
● Alias: rdigitsBFOS
●
0 images
|
yhat_plus
(Package: gencve) :
SCAD or MCP Regression Prediction
Fits penalized regression with SCAD or MCP penalty and computes the predictions for the test data.
● Data Source:
CranContrib
● Keywords: models, regression
● Alias: yhat_plus
●
0 images
|
|
This criterion is frequently used in business forecasting. See Wikipedia article https://en.wikipedia.org/wiki/Mean_absolute_percentage_error.
● Data Source:
CranContrib
● Keywords: models, regression
● Alias: mape
●
0 images
|
|
Given training data and test examples, the NB predictions for the test data are produced and the misclassification rate is returned.
● Data Source:
CranContrib
● Keywords: classif, models
● Alias: yh_NB
●
0 images
|
|
Given training data and test examples, the RF predictions for the test data are produced and the misclassification rate is returned.
● Data Source:
CranContrib
● Keywords: classif, models
● Alias: yh_RF
●
0 images
|
yhat_lars
(Package: gencve) :
Fit LASSO Regression using Mallows Cp and Predict
LASSO regression is fit using the lars algorithm
● Data Source:
CranContrib
● Keywords: models, regression
● Alias: yhat_lars
●
0 images
|
dShao
(Package: gencve) :
Shao Holdout Sample Size for Linear Regression Variable Selection
Implements Shao's recommendation.
● Data Source:
CranContrib
● Keywords: models, regression
● Alias: dShao
●
0 images
|
|
Given training data and test examples, the LDA predictions for the test data are produced.
● Data Source:
CranContrib
● Keywords: classif, models
● Alias: yh_lda
●
0 images
|
yhat_gel
(Package: gencve) :
Elastic Net Regression Prediction
Fit regression using 10-fold CV with the 1 standard deviation rule and compute predictions.
● Data Source:
CranContrib
● Keywords: models, regression
● Alias: yhat_gel
●
0 images
|
providing 
.