Sonar

<p>The Sonar data consist of 208 data points collected on 60 predictors. 
The goal is to predict the two classes M for metal cylinder or R for rock.
This data has been obtained from the 'mlbench' package. Response variable
is in the Class column.</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

Sonar function

<p>A data frame with 208 rows as points and 61 variables</p>

Sonar: Sonar data

Description

Usage

Arguments

Format