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12 results

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Analytics
Classification Algorithms Integrations Weka Weka (3.6) Weka (3.7)
+4
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    Node / Learner
    ClassificationViaRegression (3.6)
    Analytics Integrations Weka
    +3
    Class for doing classification using regression methods. Class is binarized and one regression model is built for each class valu…
    0
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    Node / Learner
    PART (3.6)
    Analytics Integrations Weka
    +3
    Class for generating a PART decision list. Uses separate-and-conquer. Builds a partial C4.5 decision tree in each iteration and m…
    0
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    Node / Learner
    PART (3.7)
    Analytics Integrations Weka
    +3
    Class for generating a PART decision list Uses separate-and-conquer.Builds a partial C4.5 decision tree in each iteration and mak…
    0
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    Node / Learner
    ClassificationViaRegression (3.7)
    Analytics Integrations Weka
    +3
    Class for doing classification using regression methods Class is binarized and one regression model is built for each class value…
    0
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    Node / Learner
    M5P (3.6)
    Analytics Integrations Weka
    +3
    M5Base. Implements base routines for generating M5 Model trees and rules The original algorithm M5 was invented by R. Quinlan and…
    0
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    Node / Learner
    Dagging (3.6)
    Analytics Integrations Weka
    +3
    This meta classifier creates a number of disjoint, stratified folds out of the data and feeds each chunk of data to a copy of the…
    0
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    Node / Learner
    M5Rules (3.6)
    Analytics Integrations Weka
    +3
    Generates a decision list for regression problems using separate-and-conquer. In each iteration it builds a model tree using M5 a…
    0
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    Node / Learner
    UserClassifier (3.6)
    Analytics Integrations Weka
    +3
    Interactively classify through visual means. You are Presented with a scatter graph of the data against two user selectable attri…
    0
  9. Go to item
    Node / Learner
    Dagging (3.7)
    Analytics Integrations Weka
    +3
    This meta classifier creates a number of disjoint, stratified folds out of the data and feeds each chunk of data to a copy of the…
    0
  10. Go to item
    Node / Learner
    M5Rules (3.7)
    Analytics Integrations Weka
    +3
    Generates a decision list for regression problems using separate-and-conquer In each iteration it builds a model tree using M5 an…
    0
  11. Go to item
    Node / Learner
    PaceRegression (3.6)
    Analytics Integrations Weka
    +3
    Class for building pace regression linear models and using them for prediction. Under regularity conditions, pace regression is p…
    0
  12. Go to item
    Node / Learner
    PaceRegression (3.7)
    Analytics Integrations Weka
    +3
    Class for building pace regression linear models and using them for prediction Under regularity conditions, pace regression is pr…
    0

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