fit1

<p>Caret was run using 10 fold repeated cross validation on the Sonar data
with random forest used to predict the response variable.</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

fit1: Random forest fitted object from Caret on Sonar data

Description

Usage

Arguments

Format