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How to see which attributes are selected more often in Weka?
One way to see which attributes are selected more often is to use random forest variable importance. Unfortunately I don’t think it is implemented in the standard WEKA RandomForest. It is possible to visualize tree for random forest as well. You can use weka 3.7.7.
Which is the key parameter for random forest in Weka?
In addition to the parameters listed above for bagging, a key parameter for random forest is the number of attributes to consider in each split point. In Weka this can be controlled by the numFeatures attribute, which by default is set to 0, which selects the value automatically based on a rule of thumb.
Which is the default decision tree in Weka?
The default is the REPTree which is the Weka implementation of a standard decision tree, also called a Classification and Regression Tree or CART for short. This is specified in the classifier parameter.
Can a random forest be used for classification?
Random Forest is an extension of bagging for decision trees that can be used for classification or regression. A down side of bagged decision trees is that decision trees are constructed using a greedy algorithm that selects the best split point at each step in the tree building process.
How to create randomForest method in Weka-Dev?
RandomizableParallelIteratedSingleClassifierEnhancer Methods inherited from class weka.classifiers. ParallelIteratedSingleClassifierEnhancer Methods inherited from class weka.classifiers. IteratedSingleClassifierEnhancer Methods inherited from class weka.classifiers. SingleClassifierEnhancer Methods inherited from class weka.classifiers.
Which is iteratedsingleclassifierenhancer method inherited from class Weka?
IteratedSingleClassifierEnhancer Methods inherited from class weka.classifiers. SingleClassifierEnhancer Methods inherited from class weka.classifiers. AbstractClassifier Constructor that sets base classifier for bagging to RandomTre and default number of iterations to 100.
How to visualize a tree in a random forest?
It is possible to visualize tree for random forest as well. You can use weka 3.7.7. When you are selecting RandomForest select printTrees option true to visualize the tree