Package | Description |
---|---|
weka.classifiers | |
weka.classifiers.meta | |
weka.classifiers.rules | |
weka.classifiers.trees |
Modifier and Type | Class and Description |
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class |
Evaluation
Class for evaluating machine learning models.
|
Modifier and Type | Class and Description |
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class |
CVParameterSelection
Class for performing parameter selection by cross-validation for any classifier.
For more information, see: R. |
class |
GridSearch
Performs a grid search of parameter pairs for the a classifier (Y-axis, default is LinearRegression with the "Ridge" parameter) and the PLSFilter (X-axis, "# of Components") and chooses the best pair found for the actual predicting.
The initial grid is worked on with 2-fold CV to determine the values of the parameter pairs for the selected type of evaluation (e.g., accuracy). |
Modifier and Type | Class and Description |
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class |
PART
Class for generating a PART decision list.
|
Modifier and Type | Class and Description |
---|---|
class |
J48
Class for generating a pruned or unpruned C4.5 decision tree.
|
class |
J48graft
Class for generating a grafted (pruned or unpruned) C4.5 decision tree.
|
class |
NBTree
Class for generating a decision tree with naive Bayes classifiers at the leaves.
For more information, see Ron Kohavi: Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid. |
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