项目作者： Shrsh

项目描述：
Random Forests on Income classification

高级语言： Jupyter Notebook

项目主页：

项目地址: git://github.com/Shrsh/UCI--Adult-Data-Set.git

创建时间： 2018-05-28T07:45:32Z
项目社区：https://github.com/Shrsh/UCI--Adult-Data-Set
开源协议：
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UCI—Adult-Data-Set

This data was extracted from UCI Repository- ADULT DATA.

http://archive.ics.uci.edu/ml/machine-learning-databases/adult

Test-Train Split

Split into train-test using MLC++ GenCVFiles (2/3, 1/3 random).

48842 instances, mix of continuous and discrete (train=32561, test=16281)

45222 if instances with unknown values are removed (train=30162, test=15060)

Prediction task is to determine whether a person makes over 50K a year.

Results:

Algorithm	Accuracy
SVM- ‘rbf’ Kernel	0.7986448220064725
SVM- ‘linear’ Kernel	0.8180622977346278
Decision Trees	0.8518406148867314
Bagging with Decision Trees	0.8973503236245954
Random Forest	0.8701456310679612

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