Run
551711

Run 551711

Task 3646 (Supervised Classification) rabe_265 Uploaded 09-04-2016 by Martijn Post
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  • study_15 study_20 weka weka_3.7.13
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Flow

weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_AdaBoostM1_Decisio nStump(3)Weka implementation of AttributeSelectedClassifier
weka.CfsSubsetEval(5)_P1
weka.CfsSubsetEval(5)_E1
weka.BestFirst(4)_D1
weka.BestFirst(4)_N5
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_AdaBoostM1_DecisionStump(3)_Eweka.attributeSelection.CfsSubsetEval
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_AdaBoostM1_DecisionStump(3)_Sweka.attributeSelection.BestFirst
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_AdaBoostM1_DecisionStump(3)_Wweka.classifiers.meta.AdaBoostM1
weka.AdaBoostM1_DecisionStump(15)_P100
weka.AdaBoostM1_DecisionStump(15)_S1
weka.AdaBoostM1_DecisionStump(15)_I100
weka.AdaBoostM1_DecisionStump(15)_Wweka.classifiers.trees.DecisionStump

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
0.6849
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6439
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2609
Cross-validation details (10-fold Crossvalidation)
KB relative information score
11.9583
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3677
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.485
Cross-validation details (10-fold Crossvalidation)
Number of instances
51
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_66, amd64, Windows 10, 10.0]
Precision
0.6428
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6471
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9791
Cross-validation details (10-fold Crossvalidation)
Recall
0.6471
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7581
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4922
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5017
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0193
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1788.6668
UserCPU time millis
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)