https://rpubs.com/tmartens/classification_metrics

General
1

re: RPubs - Classification Metrics using R

The get.rocPlot.auc function gives an error. I have found similar error messages in this type of code.
Can you help? Thank you. Mary A. Marion

Here is a code extract. This is what the error message is referring to.
for (i in threshold.grid) {

  •     yhat = as.numeric(df$prob>i)

  •     predicted = cbind(df$predicted,yhat)
  • }
  • for (j in 1:length(threshold.grid)){
  •     class.factor = factor(df$actual,levels = c(0,1))

  •     predicted.factor = factor(predicted[,j], levels = c(0,1))

  •     t = table(class.factor, predicted.factor)

  •     sensitivity = t[2,2] / (t[2,2] + t[2,1])

  •     specificity = t[1,1] / (t[1,1] + t[1,2])

  •     y[j] = sensitivity

  •     x[j] = 1 - specificity

get.rocPlot.auc(report2)
Error in predicted[, j] : subscript out of bounds

2

What is report2?

get.rocPlot.auc(preds)
3

report2 consists of a data frame with 2 columns labelled actual and predicted. These refer to the actual classifications of validation set and the predicted classifications of validation set.

4

This worked for me with get.rocPlot.auc(preds)

5

Where did you find the data set preds? I could not find it.

6

Isn't it the object of the read statement?

7

I don't have the excel csv data set. Do you know how where it is?

8

I needed to change the input dataset to report.3 which contained columns actual, pred.class, and the prob associated with the predicted class.

actual,pred.class,prob = apply(pred.prob,1,max))

Same error? It is my data.

9 
preds = read.csv('classification-output-data.csv', sep=',', header = TRUE)
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