Visibility: public Uploaded 03-04-2017 by Wouter Nuijten Weka_3.8.1 1 runs
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  • Verified_Supervised_Classification weka weka_3.8.1
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Weka implementation of MultiSearch


Wweka.RandomForest(12)Full name of base classifier. (default: weka.classifiers.functions.LinearRegression)


-do-not-check-capabilitiesIf set, classifier capabilities are not checked before classifier is built (use with caution).
CDo not try to eliminate colinear attributes.
EDetermines the parameter used for evaluation: CC = Correlation coefficient MCC = Matthews correlation coefficient RMSE = Root mean squared error RRSE = Root relative squared error MAE = Mean absolute error RAE = Root absolute error COMB = Combined = (1-abs(CC)) + RRSE + RAE ACC = Accuracy KAP = Kappa PREC = Precision (per class) WPREC = Weighted precision REC = Recall (per class) WREC = Weighted recall AUC = Area under ROC (per class) WAUC = Weighted area under ROC PRC = Area under PRC (per class) WPRC = Weighted area under PRC FM = F-Measure (per class) WFM = Weighted F-Measure TPR = True positive rate (per class) TNR = True negative rate (per class) FPR = False positive rate (per class) FNR = False negative rate (per class) (default: CC)default: CC
RSet ridge parameter (default 1.0e-8).
SRandom number seed. (default 1)default: 1
WFull name of base classifier. (default: weka.classifiers.functions.LinearRegression)default: weka.classifiers.trees.RandomForest
additional-statsOutput additional statistics.
algorithmA search algorithm.default: weka.classifiers.meta.multisearch.DefaultSearch -sample-size 100.0 -initial-folds 2 -subsequent-folds 10 -initial-test-set . -subsequent-test-set . -num-slots 1 -num-slots 1
batch-sizeThe desired batch size for batch prediction (default 100).
class-labelThe class label index to retrieve the metric for (if applicable).default: 1
log-fileThe log file to log the messages to. (default: none)default: C:\Program Files\Weka-3-8
minimalConserve memory, don't keep dataset header and means/stdevs. Model cannot be printed out if this option is enabled. (default: keep data)
num-decimal-placesThe number of decimal places for the output of numbers in the model (default 2).
output-debug-infoIf set, classifier is run in debug mode and may output additional info to the console
searchA property search setup.


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