fit3

<p>Caret was run using 10 fold repeated cross validation on the Sonar data
using random forest to predict the response variable. Log-likelihood was set
to be the objective function to select the best model from cross validation.</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

fit3: Random forest fitted object from Caret on Sonar data with log-likelihood objective function

Description

Usage

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