Machine learning algorithms in iterative decision tree algorithm, is a very versatile multi-tree algorithm can effectively solve the problem

jbrt-master
...........\.classpath
...........\.project
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...........\README.md
...........\README.pdf
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...........\....\testDataset.csv
...........\lib
...........\...\jackson-core-asl-1.9.12.jar
...........\...\jackson-mapper-asl-1.9.12.jar
...........\...\roc.jar
...........\src
...........\...\boostingRegressionTree
...........\...\......................\Instance.java
...........\...\......................\Model.java
...........\...\......................\TreeNode.java
...........\...\......................\U.java
...........\...\......................\loss
...........\...\......................\....\AbsoluteLoss.java
...........\...\......................\....\ExponentialLoss.java
...........\...\......................\....\Loss.java
...........\...\......................\....\SquareLoss.java
...........\ui
...........\..\README.txt
...........\..\css
...........\..\...\tree.css
...........\..\gbrt(Plz open with FireFox).html
...........\..\js
...........\..\..\treeDraw.js
...........\..\lib
...........\..\...\d3
...........\..\...\..\d3.v3.min.js
...........\..\...\jquery
...........\..\...\......\jquery-2.0.3.min.js
...........\..\model.json

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