preds

<p>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.</p>

datasets

Straightforward and detailed evaluation of machine learning models. 'MLeval' can produce receiver operating characteristic (ROC) curves, precision-recall (PR) curves, calibration curves, and PR gain curves. 'MLeval' accepts a data frame of class probabilities and ground truth labels, or, it can automatically interpret the Caret train function results from repeated cross validation, then select the best model and analyse the results. 'MLeval' produces a range of evaluation metrics with confidence intervals.

Christopher John

MLeval

Machine Learning Model Evaluation

preds function

<p>A data frame with 51 rows as points and 4 variables</p>

preds: Predictions from gbm on the Sonar test data

Description

Usage

Arguments

Format