Fig_4.tif (817.41 kB)
Two multivariate regression trees trained on the same input X and same output responses [Y1,Y2] but the node cost criteria being copula based (Tree{C, [Y1,Y2]}) and covariance based (Tree{V, [Y1,Y2]}) respectively.
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posted on 2015-12-10, 10:32 authored by Saad Haider, Raziur Rahman, Souparno Ghosh, Ranadip PalThe empty circles represent leaf nodes and the circles enclosing a number signifies a split node; the number inside the circle indicates the featured selected on that node for splitting.
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novel cost criterioncharacterizationgenerationDrug Sensitivity Prediction Modeling sensitivityoutput response structureensembleaccuracymultivariaterelationshipoutput responsesRandom Forestssensitivity prediction studiescopulaframeworkMultivariate Random Forestsmodelchallengecancer cell line encyclopedia database
