Run
307938

Run 307938

Task 72 (Learning Curve) breast-cancer Uploaded 19-03-2015 by Joaquin Vanschoren
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Flow

weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_J48(3)Weka implementation of AttributeSelectedClassifier
weka.J48(28)_C0.25
weka.J48(28)_M2
weka.BestFirst(3)_D1
weka.BestFirst(3)_N5
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_J48(3)_Eweka.attributeSelection.CfsSubsetEval
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_J48(3)_Sweka.attributeSelection.BestFirst
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_J48(3)_Wweka.classifiers.trees.J48
weka.CfsSubsetEval(4)_P1
weka.CfsSubsetEval(4)_E1

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
0.6102 ± 0.0968
Per class
F measure
0.6825 ± 0.0662
Per class
Kappa
0.2065 ± 0.1598
KB relative information score
0.1091 ± 0.0911
Mean absolute error
0.3718 ± 0.0296
Mean prior absolute error
0.4183 ± 0.0065
Number of instances
2860
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7024 ± 0.1001
Per class
Predictive accuracy
0.7273 ± 0.0542
Prior entropy
0.8779 ± 0.0199
Recall
0.7273 ± 0.0542
Per class
Relative absolute error
0.8888 ± 0.07
Root mean prior squared error
0.457 ± 0.0071
Root mean squared error
0.4463 ± 0.0358
Root relative squared error
0.9766 ± 0.077
SciMark benchmark
1327.0519