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Description

Machine Learning Model Evaluation for 'h2o' Package.

Several functions are provided that simplify using 'h2o' package. Currently, a function for extracting the AutoML model parameter is provided, alongside a function for computing F-Measure statistics at any given threshold. For more information about 'h2o' package see <https://h2o.ai/>.

h2otools: Machine Learning Model Evaluation for 'h2o' Package

CRAN version

Model evaluation

There are plenty of procedures for evaluating machine learning models, many of which are not implemented in h2o platform. This repository provides additional functions for model performance evaluation that are not implemented in h2o.

The bootperformance function evaluates the model for n number of bootstrapped samples from the testing dataset, instead of evaluating the model on the testing dataset once. Therefore, evaluating the confidence interval of the model performance.

These functions are briefly described below:

FunctionDescription
automlModelParamfor extracting model parameters from AutoML grid
bootperformanceBootstrap performance ealuation
checkFrameChecks data.frame format, which is useful before uploading it to H2O cloud
Fmeasurefor evaluating F3, F4, F5, or any beta value. h2o only provides F0.5, F1, and F2
getPerfMatrixretrieve performance matrix for all thresholds
kappaCalculates kappa for all thresholds
performanceprovides performance measures (AUC, AUCPR, MCC, Kappa, etc.) using objects from h2o package

Installation

You can install the latest stable package from CRAN:

install.packages("h2otools")
Metadata

Version

0.3

License

Unknown

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