Run
532609

Run 532609

Task 3705 (Supervised Classification) autoHorse Uploaded 05-03-2016 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_IBk(3)Weka implementation of AttributeSelectedClassifier
weka.IBk(7)_K1
weka.IBk(7)_W0
weka.IBk(7)_Atrue
weka.CfsSubsetEval(5)_P1
weka.CfsSubsetEval(5)_E1
weka.BestFirst(4)_D1
weka.BestFirst(4)_N5
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_IBk(3)_Eweka.attributeSelection.CfsSubsetEval
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_IBk(3)_Sweka.attributeSelection.BestFirst
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_IBk(3)_Wweka.classifiers.lazy.IBk

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
0.9453
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9463
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8884
Cross-validation details (10-fold Crossvalidation)
KB relative information score
180.282
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0584
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_66, amd64, Windows 7, 6.1]
Precision
0.9463
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9463
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9742
Cross-validation details (10-fold Crossvalidation)
Recall
0.9463
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1211
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4909
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2305
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4695
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1806.5905
UserCPU time millis
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)