Package cz.zcu.fav.liks.ml.featuresel.selectors

Examples of cz.zcu.fav.liks.ml.featuresel.selectors.InformationGain

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      if (selector == null) {
        filter = null;
      } else if (selector.equalsIgnoreCase("MI")) {
        filter = new MutualInformation();
      } else if (selector.equalsIgnoreCase("IG")) {
        filter = new InformationGain();
      } else if (selector.equalsIgnoreCase("CHI")) {
        filter = new ChiSquare();
      } else if (selector.equalsIgnoreCase("OR")) {
        filter = new OddsRatio();
      } else if (selector.equalsIgnoreCase("RS")) {
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      print("MI(0,8)");
      cv.multiValidate(features, trainer, 10, data, new MutualInformation(), 0.8);

      print("IG(0,6)");
      cv.multiValidate(features, trainer, 10, data, new InformationGain(), 0.6);

      print("IG(0,7)");
      cv.multiValidate(features, trainer, 10, data, new InformationGain(), 0.7);

      print("IG(0,8)");
      cv.multiValidate(features, trainer, 10, data, new InformationGain(), 0.8);

      print("IG(0,9)");
      cv.multiValidate(features, trainer, 10, data, new InformationGain(), 0.9);

      print("OR(0,9)");
      cv.multiValidate(features, trainer, 10, data, new OddsRatio(), 0.9);

    } catch (SQLException e) {
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Related Classes of cz.zcu.fav.liks.ml.featuresel.selectors.InformationGain

  • cz.zcu.fav.liks.ml.featuresel.experiments.Experiment5
  • cz.zcu.fav.liks.ml.featuresel.experiments.Experiment6
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