plot_model_performance_histogram: Plot histogram of measures of model performance.

In easyml: Easily Build and Evaluate Machine Learning Models

Description

Given a numeric vector will plot a histogram for any number of measures of model performance.

Usage

plot_model_performance_histogram(x, name)

Arguments

x	A vector, the mean squared error metrics to be plotted as a histogram.
name	A character vector of length one, the name of the metric.

Value

A ggplot object. This plot may be rendered by outputting it to the command line or modified using ggplot semantics.

See Also

Other plot: plot_coefficients_processed, plot_model_performance_binomial_auc_score, plot_model_performance_gaussian_correlation_score, plot_model_performance_gaussian_mse_score, plot_model_performance_gaussian_r2_score, plot_predictions_binomial, plot_predictions_gaussian, plot_roc_curve, plot_variable_importances_processed

easyml documentation built on June 26, 2017, 9:02 a.m.