gbm2x: The standard gradient boosted classifier for AndersenLab 2X...

gbm2xR Documentation

The standard gradient boosted classifier for AndersenLab 2X images

Description

This stochastic gradient boosted classifier was trained with 1,089 worm objects selected from a broad range of experimental conditions using the caret R package (v6.0-92) (Kuhn 2008). The classifier accuracy was 89.6 with 10-fold cross-validation.

Usage

gbm2x

Format

## 'gbm2x' A Large train object with 24 elements.

Source

<https://github.com/AndersenLab/2021_GWA_data_cleaning>


AndersenLab/easyXpress documentation built on Dec. 6, 2024, 4:04 a.m.