predsc {MLeval}

Predictions from gbm and random forest on the Sonar test data

Description

The Sonar data was split into training (157 points) and testing (51 points), a gbm model was fitted using Caret on the training data. Then these are the predicted probabilities of the model on the test data. A random forest model was then fit and tested in the same manner. The probabilities and ground truth labels were combined horizontally for further analysis.

Usage

predsc

Format

A data frame with 102 rows as points and 4 variables