low_high_earners: Low earners and high earners, training dataset
In ParallelForest: Random Forest Classification with Parallel Computing
Description
Usage
Format
Source
Description
Dataset of low earners and high earners for classification. low_high_earners is the training dataset and low_high_earners_test is the testing dataset.
Usage
1
Format
Data frame containing 8 variables and 199,522 observations.
Source
Prepared by keeping only the dependent variable, continuous variables, ordinal variables, and binary categorical variables from http://archive.ics.uci.edu/ml/datasets/Census-Income+%28KDD%29
ParallelForest documentation built on May 29, 2017, 5:45 p.m.
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Description Usage Format Source
Description
Dataset of low earners and high earners for classification. low_high_earners is the training dataset and low_high_earners_test is the testing dataset.
Usage
1 |
Format
Data frame containing 8 variables and 199,522 observations.
Source
Prepared by keeping only the dependent variable, continuous variables, ordinal variables, and binary categorical variables from http://archive.ics.uci.edu/ml/datasets/Census-Income+%28KDD%29
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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