Name | Modified | Size | Downloads / Week |
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inTrees_example.tar.gz | 2015-04-13 | 2.2 MB | |
inTrees_rulesExtraction.R | 2015-04-13 | 19.0 kB | |
README.txt | 2015-04-07 | 1.6 kB | |
Totals: 3 Items | 2.2 MB | 0 |
This is the script prepared to run inTrees package from R environment. inTrees is a very effective tool for interpreting tree ensembles from random forest models. For more information please refer to its original manual at the CRAN repostitory: http://cran.r-project.org/web/packages/inTrees/index.html Datasets in tab-delimited TXT files, where the last column contains the known answer to the problem (dependent variable) and previous columns are features (regressors or independent variables). The assumption is that the model is of MISO type (multiple-input-single-output). ########################################################################## This program comes with ABSOLUTELY NO WARRANTY This is free software, and you are welcome to redistribute it under certain conditions. Please find a LICENSE file to look for a more detailed description of terms and conditions based on the GNU GPLv3 license ########################################################################## If you are satisfied with this script and find it useful please cite our last work: Pacławski A, Szlęk J, Lau R, Jachowicz R, Mendyk A., Empirical modeling of the fine particle fraction for carrier-based pulmonary delivery formulations. Int J Nanomedicine. 2015 Jan 21;10:801-10. doi: 10.2147/IJN.S75758. eCollection 2015. Acknowledgment: This project was supported by Poland-Singapore bilateral cooperation project no 2/3/POL-SIN/2012 entitled "Delivery of protein and peptide drugs through dry powder inhalation" and funded by Polish National Centre for Research and Development