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Additive Groves code

Additive Groves code: TreeExtra package. TreeExtra is a set of tools implementing the following algorithms:. Additive Groves - a supervised learning algorithm. Bagged trees with "multiple counts" feature evaluation. Interaction detection with Additive Groves. Feature selection by backward elimination with Additive Groves. Effect and interaction visualization. Additive Groves is an ensemble of regression trees developed by Daria Sorokina, Rich Caruana and Mirek Riedewald. 13 Aug '13. TreeExtra 2.3. A majo...

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Additive Groves code | additivegroves.net Reviews

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Additive Groves code: TreeExtra package. TreeExtra is a set of tools implementing the following algorithms:. Additive Groves - a supervised learning algorithm. Bagged trees with multiple counts feature evaluation. Interaction detection with Additive Groves. Feature selection by backward elimination with Additive Groves. Effect and interaction visualization. Additive Groves is an ensemble of regression trees developed by Daria Sorokina, Rich Caruana and Mirek Riedewald. 13 Aug '13. TreeExtra 2.3. A majo...

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Additive Groves code | additivegroves.net Reviews

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Additive Groves code: TreeExtra package. TreeExtra is a set of tools implementing the following algorithms:. Additive Groves - a supervised learning algorithm. Bagged trees with "multiple counts" feature evaluation. Interaction detection with Additive Groves. Feature selection by backward elimination with Additive Groves. Effect and interaction visualization. Additive Groves is an ensemble of regression trees developed by Daria Sorokina, Rich Caruana and Mirek Riedewald. 13 Aug '13. TreeExtra 2.3. A majo...

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additivegroves.net

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Additive Groves

http://additivegroves.net/AG_manual.htm

Back to TreeExtra package web page. If you want to make a simple test run of Additive Groves on your data without reading the whole manual, go here. 1] Daria Sorokina, Rich Caruana, Mirek Riedewald. Additive Groves of Regression Trees. In proceedings of the 18th European Conference on Machine Learning (ECML'07). Starting version 2.2, the implementation contains a few improvements over the algorithm described in the original paper. Important parameters of the algorithm. Starting version 2.3 the relati...

2

Data Format

http://additivegroves.net/Data_Format.htm

Back to TreeExtra package web page. A separate attribute file describing data is required. I reused the idea of an attribute file from IND package, so the format of this file should be compatible with IND to some extent. Each line in the first part of the attribute file corresponds to a single attribute. The order of attributes should be the same as in the data file. The structure of the attribute description is the following:. Attr name : type [(class)]. Should be either cont. For boolean or nom.

3

Additive Groves - Model

http://additivegroves.net/AG_model.htm

Back to TreeExtra package web page. Back to Additive Groves manual web page. Additive Groves - model file structure. Note: you need to know the structure of the model file only if you want to write code that converts AG model file to other formats. Prediction of Additive Groves model is the average of predictions of all single groves in the model. Prediction of a single grove is a sum of predictions of all trees in this grove. No missing values in the data. If the value of attribute number attribute-id&gt.

4

Additive Groves - quick start

http://additivegroves.net/AG_quickstart.htm

Back to TreeExtra package web page. Back to Additive Groves manual web page. Additive Groves - quick start. Download binaries from the TreeExtra main web page. You can also download sources and compile them. Prepare your data set following the instructions on input data format. You will need train, validation, test and attribute files. Here is a sample synthetic data set: data.train. If needed, modify the file names in the following command line):. Until you run ag save. Ag expand -n 11 -b 100. Ag train ...

5

Interaction Detection with Additive Groves

http://additivegroves.net/AG_interactions.htm

Back to TreeExtra package web page. Interaction Detection with Additive Groves. Daria Sorokina, Rich Caruana, Mirek Riedewald, Daniel Fink. Detecting Statistical Interactions with Additive Groves of Trees. In proceedings of the 25th International Conference on Machine Learning (ICML'08). Video of ICML presentation. Daria Sorokina, Rich Caruana, Mirek Riedewald, Wes Hochachka, Steve Kelling. Detecting and Interpreting Variable Interactions in Observational Ornithology Data. Parameter to some reasonable nu...

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Additive Groves code

Additive Groves code: TreeExtra package. TreeExtra is a set of tools implementing the following algorithms:. Additive Groves - a supervised learning algorithm. Bagged trees with "multiple counts" feature evaluation. Interaction detection with Additive Groves. Feature selection by backward elimination with Additive Groves. Effect and interaction visualization. Additive Groves is an ensemble of regression trees developed by Daria Sorokina, Rich Caruana and Mirek Riedewald. 13 Aug '13. TreeExtra 2.3. A majo...

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