yeshengxiangyu / ensemble_of_oblique_decision_trees Goto Github PK

*** Author: Torsha Majumder
*** Email: [email protected]


*** Decision Trees considered for this experiment:

    * Standard Decision Tree (Axis-parallel splits)
    * Oblique Classifier 1 with Bagging
    * Weighted Oblique Decision Tree with Bagging
    * Randomized CART with Bagging
    * HouseHolder CART with Bagging
    * Continuous Optimization of Oblique Splits with Bagging
    * Deep Neural Decision Trees with Bagging
    * Non-Linear Decision Trees with Bagging


*** In this experiment we have to skip OC1, DNDT and, NDT classifier due to its computational time.


*** 12 Benchmark Data sets considered for this experiment are:

    * Iris                 * Vehicle
    * Wine                 * Fourclass
    * Glass                * Segment
    * Heart                * Satimage
    * Breast-cancer        * Pendigits
    * Diabetes             * Letter

*** The result of this experiment can be found in the _results folder.