Visibility: public Uploaded 07-10-2014 by Joaquin Vanschoren Weka_3.7.12-SNAPSHOT 381 runs
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  • Verified_Supervised_Classification
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Weka implementation of ThresholdSelector


Wweka.Logistic(2)Full name of base classifier. (default: weka.classifiers.functions.Logistic)


-do-not-check-capabilitiesIf set, classifier capabilities are not checked before classifier is built (use with caution).
CThe class for which threshold is determined. Valid values are: 1, 2 (for first and second classes, respectively), 3 (for whichever class is least frequent), and 4 (for whichever class value is most frequent), and 5 (for the first class named any of "yes","pos(itive)" "1", or method 3 if no matches). (default 5).default: 5
ESets the evaluation mode. Use 0 for evaluation using cross-validation, 1 for evaluation using hold-out set, and 2 for evaluation on the training data (default 1).default: 1
MMeasure used for evaluation (default is FMEASURE).default: FMEASURE
RSets whether confidence range correction is applied. This can be used to ensure the confidences range from 0 to 1. Use 0 for no range correction, 1 for correction based on the min/max values seen during threshold selection (default 0).default: 0
SRandom number seed. (default 1)default: 1
WFull name of base classifier. (default: weka.classifiers.functions.Logistic)default: weka.classifiers.functions.Logistic
XNumber of folds used for cross validation. If just a hold-out set is used, this determines the size of the hold-out set (default 3).default: 3
manualSet a manual threshold to use. This option overrides automatic selection and options pertaining to automatic selection will be ignored. (default -1, i.e. do not use a manual threshold).
output-debug-infoIf set, classifier is run in debug mode and may output additional info to the console


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