Run
554760

Run 554760

Task 3981 (Supervised Classification) AP_Omentum_Kidney Uploaded 11-04-2016 by Jan van Rijn
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Flow

weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_IBk(3)Weka implementation of AttributeSelectedClassifier
weka.IBk(7)_K5
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
0.9902
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9703
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9158
Cross-validation details (10-fold Crossvalidation)
KB relative information score
300.7108
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0321
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3534
Cross-validation details (10-fold Crossvalidation)
Number of instances
337
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
0.9703
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9703
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7782
Cross-validation details (10-fold Crossvalidation)
Recall
0.9703
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0907
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4199
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1465
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.349
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
892.23
UserCPU time millis
1646900
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
260
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
1646640
Cross-validation details (10-fold Crossvalidation)