make.CV.chart: Plot K-fold cross validation curves

In textreg: n-Gram Text Regression, aka Concise Comparative Summarization

Description

Make a loess curve with loess() to predict the test error for different values of C by interpolating the passed evaluated points on the tbl dataframe.

Usage

make.CV.chart(tbl, plot = TRUE, ...)

Arguments

tbl	Table from find.CV.C
plot	TRUE means plot the chart. False means do not, but return the optimal C
...	Parameters to the plot function

Details

Then plot the test error with SE bars for the cross validation. Also calculate the spot that is 1 SE above the minimum. Fits the points with loess lines so, in principle, few actually evaluated points are needed in evaluating the function. All a bit ad hoc and worthy of improvement.

Not particularly well implemented.

Value

invisible list of the minimum C value and the estimated test error for both the minimum and the predicted C corresponding to 1 SE above the minimum estimate.

See Also

find.CV.C

textreg documentation built on May 2, 2019, 8:34 a.m.