Uses of Class
edu.harvard.seas.iis.abilities.classify.ClassifierEvalStats

Packages that use ClassifierEvalStats

edu.harvard.seas.iis.abilities.classify

Uses of ClassifierEvalStats in edu.harvard.seas.iis.abilities.classify

Methods in edu.harvard.seas.iis.abilities.classify that return ClassifierEvalStats

ClassifierEvalStats	FeatureSelection.crossvalidateOverUsers(weka.classifiers.Classifier c, DataSet dataSet, java.lang.String[] usersToEvaluateOn, boolean annotateDataSet) Performs a per-user crossvalidation; evaluation is performed on users listed in usersToEvaluateOn; the dataSet may have data from more users -- that's ok, the data from those users are used for training but not for evaluation
ClassifierEvalStats	FeatureSelection.evaluateFeatureSet(java.lang.String[] features, PositiveAndUnlabeledClassifier c, DataSet dataSet, boolean annotateDataSet) Uses crossvalidation to evaluate a particular classifier on a particular set of features on a particular data set
static ClassifierEvalStats	ClassifierEvalStats.fromReport1(java.util.StringTokenizer report)

Methods in edu.harvard.seas.iis.abilities.classify with parameters of type ClassifierEvalStats

double

FeatureSelection.overalEvaluationCriterion(ClassifierEvalStats results) Computes the score for determining which feature set is best; depending on your priorities, different things can go into this score