german_credit


This dataset classifies 1,000 people described by a set of attributes as
good or bad credit risks.


datasets

An implementation of hyperparameter optimization for Gradient
Boosted Trees on binary classification and regression problems. The current
version provides two optimization methods: Bayesian optimization and random
search.

Waley J. Liang

gbts

Hyperparameter Search for Gradient Boosted Trees

german_credit function

Format

<a href="https://archive.ics.uci.edu/ml/datasets/Statlog+(German+Credit+Data)">https://archive.ics.uci.edu/ml/datasets/Statlog+(German+Credit+Data)</a>

Source

<a href = 'https://archive.ics.uci.edu/ml/datasets/Statlog+(German+Credit+Data)'>https://archive.ics.uci.edu/ml/datasets/Statlog+(German+Credit+Data)</a>

german_credit: German credit data

Description

Usage

Arguments

Format

Source