Run
558639

Run 558639

Task 3608 (Supervised Classification) fri_c4_500_100 Uploaded 15-04-2016 by Martijn Post
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Flow

weka.AttributeSelectedClassifier_GainRatioAttributeEval_Ranker_AdaBoostM1(1 )Weka implementation of AttributeSelectedClassifier
weka.Ranker(3)_T-1.7976931348623157E308
weka.Ranker(3)_N-1
weka.AdaBoostM1(2)_P100
weka.AdaBoostM1(2)_S1
weka.AdaBoostM1(2)_I100
weka.AdaBoostM1(2)_Wweka.classifiers.trees.DecisionStump
weka.AttributeSelectedClassifier_GainRatioAttributeEval_Ranker_AdaBoostM1(1)_Sweka.attributeSelection.Ranker
weka.AttributeSelectedClassifier_GainRatioAttributeEval_Ranker_AdaBoostM1(1)_Wweka.classifiers.meta.AdaBoostM1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.9272
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8558
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7063
Cross-validation details (10-fold Crossvalidation)
KB relative information score
324.7384
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1769
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4913
Cross-validation details (10-fold Crossvalidation)
Number of instances
500
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_66, amd64, Windows 10, 10.0]
Precision
0.8558
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.856
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9875
Cross-validation details (10-fold Crossvalidation)
Recall
0.856
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.36
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4956
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3316
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.669
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1744.8652
UserCPU time millis
1109.375
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
1109.375
Cross-validation details (10-fold Crossvalidation)