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scorer (version 0.1.0)

Quickly Score Models

Description

A set of tools to quickly score models commonly used to data analysis and data science using uncommon scoring metrics. For example, you might want to use a weighted absolute percent error instead of a root mean square deviation to score that regression model.

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Install

install.packages('scorer')

Monthly Downloads

2

Version

0.1.0

License

MIT + file LICENSE

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Maintainer

Paul Hendricks

Last Published

July 23rd, 2015

Functions in scorer (0.1.0)

ae

Calculate absolute error between actual and forecast.
e

Calculate error between actual and forecast.
pe

Calculate percent error between actual and forecast.
mae

Calculate mean absolute error between actual and forecast.
scorer

scorer: Quickly Score Models.
rmse

Calculate root mean squared error.
ape

Calculate absolute percent error between actual and forecast.
mape

Calculate mean absolute percent error between actual and forecast.