Run
307932

Run 307932

Task 66 (Learning Curve) audiology 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.

20 Evaluation measures

Area under ROC curve
0.9286 ± 0.0347
Per class
Kappa
0.7288 ± 0.0963
KB relative information score
0.7304 ± 0.0783
Mean absolute error
0.0243 ± 0.005
Mean prior absolute error
0.0724 ± 0.0004
Number of instances
2260
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Predictive accuracy
0.7677 ± 0.084
Prior entropy
3.4373 ± 0.1528
Recall
0.7677 ± 0.084
Per class
Relative absolute error
0.335 ± 0.0689
Root mean prior squared error
0.1893 ± 0.0011
Root mean squared error
0.1212 ± 0.0202
Root relative squared error
0.6402 ± 0.1062
SciMark benchmark
1334.2487
UserCPU time millis
10
UserCPU time millis training
10