Run
562872

Run 562872

Task 3812 (Supervised Classification) arsenic-female-bladder Uploaded 17-04-2016 by Martijn Post
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Flow

weka.AttributeSelectedClassifier_GainRatioAttributeEval_Ranker_REPTree(1)Weka implementation of AttributeSelectedClassifier
weka.REPTree(15)_M2
weka.REPTree(15)_V0.001
weka.REPTree(15)_N3
weka.REPTree(15)_S1
weka.REPTree(15)_L-1
weka.REPTree(15)_I0.0
weka.Ranker(3)_T-1.7976931348623157E308
weka.Ranker(3)_N-1
weka.AttributeSelectedClassifier_GainRatioAttributeEval_Ranker_REPTree(1)_Sweka.attributeSelection.Ranker
weka.AttributeSelectedClassifier_GainRatioAttributeEval_Ranker_REPTree(1)_Wweka.classifiers.trees.REPTree

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
0.6913
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8273
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1939
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-57.2251
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.208
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2462
Cross-validation details (10-fold Crossvalidation)
Number of instances
559
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_66, amd64, Windows 10, 10.0]
Precision
0.8347
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.864
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5956
Cross-validation details (10-fold Crossvalidation)
Recall
0.864
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8448
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3502
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3457
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9871
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1925.3565