Run
564534

Run 564534

Task 3705 (Supervised Classification) autoHorse Uploaded 19-04-2016 by Jan van Rijn
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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
0.9993
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9854
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9697
Cross-validation details (10-fold Crossvalidation)
KB relative information score
198.2375
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0154
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4821
Cross-validation details (10-fold Crossvalidation)
Number of instances
205
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_77, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.9854
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9854
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9742
Cross-validation details (10-fold Crossvalidation)
Recall
0.9854
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.032
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4909
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1118
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2278
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1171.4369
UserCPU time millis
90
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
90
Cross-validation details (10-fold Crossvalidation)