mlbench v0.5-7


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Machine Learning Benchmark Problems

A collection of artificial and real-world machine learning benchmark problems, including, e.g., the Boston housing data from the UCI repository.

Functions in mlbench

Name Description
mlbench.friedman1 Benchmark Problem Friedman 1 Convert an mlbench object to a dataframe
mlbench.peak Peak Benchmark Problem
mlbench.twonorm Twonorm Benchmark Problem
mlbench.cuboids Cuboids: A 3 Dimensional Problem
BostonHousing Boston Housing Data
Satellite Landsat Multi-Spectral Scanner Image Data
mlbench.threenorm Threenorm Benchmark Problem
Glass Glass Identification Database
mlbench.friedman3 Benchmark Problem Friedman 3
DNA Primate splice-junction gene sequences (DNA)
PimaIndiansDiabetes Pima Indians Diabetes Database
BreastCancer Wisconsin Breast Cancer Database
Vehicle Vehicle Silhouettes
plot.mlbench Plot mlbench objects Circle in a Square Problem
mlbench.spirals Two Spirals Benchmark Problem
Sonar Sonar, Mines vs. Rocks
mlbench.ringnorm Ringnorm Benchmark Problem
Servo Servo Data
mlbench.xor Continuous XOR Benchmark Problem
Vowel Vowel Recognition (Deterding data)
Ionosphere Johns Hopkins University Ionosphere database
mlbench.waveform Waveform Database Generator (written in C)
LetterRecognition Letter Image Recognition Data
HouseVotes84 United States Congressional Voting Records 1984
mlbench.cassini Cassini: A 2 Dimensional Problem
mlbench.friedman2 Benchmark Problem Friedman 2
Shuttle Shuttle Dataset (Statlog version)
Ozone Los Angeles ozone pollution data, 1976
Soybean Soybean Database
mlbench.2dnormals 2-dimensional Gaussian Problem
bayesclass Bayes classifier
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Date 2002-11-06
License Free for non-commercial purposes. See the file README and the help pages of the data sets for details.

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