make_table: Make a machine learning diagnostics table

Description Usage Arguments Value Author(s)

View source: R/make_table_help_file.R

Description

Takes a list of trained machine learning models and returns diagnostics as a data frame as to compare the effectiveness of algorithms. Measures include Accuracy, Prevalence, Detection Rate, F1, Cohen's Kappa, McNemar P-Value, Negative and Positive Predictive value, Precision, Recall, Sensitivity, and Specificity

Usage

1
make_table(x, test_x, test_y)

Arguments

x

A list of models

test_data

portion of data you are using to test your predictions.

target_column

the true values which you are comparing to your predicted values.

Value

This function returns a data.frame including columns:

Author(s)

"Chad Schaeffer <[email protected]>


BYUIDSS/BYUImachine documentation built on Dec. 11, 2018, 1:29 a.m.