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F

factor(int, int, double). Method in class weka.classifiers.m5.Node
Calculates a multiplication factor used at this node
FAILED. Static variable in class weka.experiment.TaskStatusInfo
FALLOUT_NAME. Static variable in class weka.classifiers.evaluation.ThresholdCurve
FALSE_NEG_NAME. Static variable in class weka.classifiers.evaluation.ThresholdCurve
FALSE_POS_NAME. Static variable in class weka.classifiers.evaluation.ThresholdCurve
falseNegativeRate(int). Method in class weka.classifiers.Evaluation
Calculate the false negative rate with respect to a particular class.
falsePositiveRate(int). Method in class weka.classifiers.Evaluation
Calculate the false positive rate with respect to a particular class.
FastVector class weka.core.FastVector.
Implements a fast vector class without synchronized methods.
FastVector.FastVectorEnumeration class weka.core.FastVector.FastVectorEnumeration.
Class for enumerating the vector's elements.
FastVector.FastVectorEnumeration(FastVector, FastVector). Constructor for class weka.core.FastVector.FastVectorEnumeration
Constructs an enumeration.
FastVector.FastVectorEnumeration(FastVector, FastVector, int). Constructor for class weka.core.FastVector.FastVectorEnumeration
Constructs an enumeration with a special element.
FastVector(). Constructor for class weka.core.FastVector
Constructs an empty vector with initial capacity zero.
FastVector(int). Constructor for class weka.core.FastVector
Constructs a vector with the given capacity.
FastVector(int, int, double). Constructor for class weka.core.FastVector
Constructs a vector with the given capacity, capacity increment and capacity mulitplier.
FCriticalValue(double, int, int). Static method in class weka.core.Statistics
Critical value for given probability of F-distribution.
FILE_EXTENSION. Static variable in class weka.classifiers.CostMatrix
The filename extension that should be used for cost files
FILE_EXTENSION. Static variable in class weka.core.Instances
The filename extension that should be used for arff files
FILE_EXTENSION. Static variable in class weka.experiment.Experiment
The filename extension that should be used for experiment files
FileEditor class weka.gui.FileEditor.
A PropertyEditor for File objects that lets the user select a file.
FileEditor(). Constructor for class weka.gui.FileEditor
Filter class weka.filters.Filter.
An abstract class for instance filters: objects that take instances as input, carry out some transformation on the instance and then output the instance.
Filter(). Constructor for class weka.filters.Filter
FilteredClassifier class weka.classifiers.FilteredClassifier.
Class for running an arbitrary classifier on data that has been passed through an arbitrary filter.

Valid options from the command line are:

-B classifierstring
Classifierstring should contain the full class name of a classifier followed by options to the classifier.

FilteredClassifier(). Constructor for class weka.classifiers.FilteredClassifier
Default constructor specifying ZeroR as the classifier and AllFilter as the filter.
FilteredClassifier(Classifier, Filter). Constructor for class weka.classifiers.FilteredClassifier
Constructor that specifies the subclassifier and filter to use.
filterFile(Filter, String[]). Static method in class weka.filters.Filter
Method for testing filters.
findNumBinsTipText(). Method in class weka.filters.DiscretizeFilter
Returns the tip text for this property
FINISHED. Static variable in class weka.experiment.TaskStatusInfo
finished(). Method in class weka.experiment.OutputZipper
Closes the zip file.
firstElement(). Method in class weka.core.FastVector
Returns the first element of the vector.
firstInstance(). Method in class weka.core.Instances
Returns the first instance in the set.
FirstOrderFilter class weka.filters.FirstOrderFilter.
This instance filter takes a range of N numeric attributes and replaces them with N-1 numeric attributes, the values of which are the difference between consecutive attribute values from the original instance.
FirstOrderFilter(). Constructor for class weka.filters.FirstOrderFilter
FLOOR. Static variable in interface weka.classifiers.kstar.KStarConstants
FLOOR1. Static variable in interface weka.classifiers.kstar.KStarConstants
floorDouble(double). Static method in class weka.classifiers.m5.M5Utils
Returns the largest (closest to positive infinity) long integer value that is not greater than the argument.
FMEASURE_NAME. Static variable in class weka.classifiers.evaluation.ThresholdCurve
fMeasure(int). Method in class weka.classifiers.Evaluation
Calculate the F-Measure with respect to a particular class.
FOLD_FIELD_NAME. Static variable in class weka.experiment.CrossValidationResultProducer
foldsTipText(). Method in class weka.attributeSelection.RaceSearch
Returns the tip text for this property
foldsTipText(). Method in class weka.attributeSelection.WrapperSubsetEval
Returns the tip text for this property
FORMAT_AVAILABLE. Static variable in class weka.gui.streams.InstanceEvent
Specifies that the instance format is available
formulaeToString(boolean). Method in class weka.classifiers.m5.Node
Converts all the linear models at the leaves under the node to a string
forName(Class, String, String[]). Static method in class weka.core.Utils
Creates a new instance of an object given it's class name and (optional) arguments to pass to it's setOptions method.
forName(String, String[]). Static method in class weka.associations.Associator
Creates a new instance of a associator given it's class name and (optional) arguments to pass to it's setOptions method.
forName(String, String[]). Static method in class weka.attributeSelection.ASEvaluation
Creates a new instance of an attribute/subset evaluator given it's class name and (optional) arguments to pass to it's setOptions method.
forName(String, String[]). Static method in class weka.attributeSelection.ASSearch
Creates a new instance of a search class given it's class name and (optional) arguments to pass to it's setOptions method.
forName(String, String[]). Static method in class weka.classifiers.Classifier
Creates a new instance of a classifier given it's class name and (optional) arguments to pass to it's setOptions method.
forName(String, String[]). Static method in class weka.clusterers.Clusterer
Creates a new instance of a clusterer given it's class name and (optional) arguments to pass to it's setOptions method.
ForwardSelection class weka.attributeSelection.ForwardSelection.
Class for performing a forward selection hill climbing search.
ForwardSelection(). Constructor for class weka.attributeSelection.ForwardSelection
FP_RATE_NAME. Static variable in class weka.classifiers.evaluation.ThresholdCurve
FProbability(double, int, int). Static method in class weka.core.Statistics
Computes probability of F-ratio.
Function class weka.classifiers.m5.Function.
Class for handling a linear function.
function(). Method in class weka.classifiers.m5.Node
Finds the appropriate order of the unsmoothed linear model at this node
Function(). Constructor for class weka.classifiers.m5.Function
Constructs a function of constant value
Function(Instances). Constructor for class weka.classifiers.m5.Function
Constucts a function with all attributes except the class in the inst
Function(int). Constructor for class weka.classifiers.m5.Function
Constructs a function with one attribute

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