Run
307959

Run 307959

Task 97 (Learning Curve) ecoli 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
0.9089 ± 0.0434
Per class
Kappa
0.763 ± 0.0846
KB relative information score
0.722 ± 0.0918
Mean absolute error
0.0524 ± 0.0141
Mean prior absolute error
0.1828 ± 0.0012
Number of instances
3360
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Predictive accuracy
0.8292 ± 0.0617
Prior entropy
2.1906 ± 0.0868
Recall
0.8292 ± 0.0617
Per class
Relative absolute error
0.2866 ± 0.0764
Root mean prior squared error
0.3016 ± 0.0021
Root mean squared error
0.1928 ± 0.0364
Root relative squared error
0.6391 ± 0.1195
SciMark benchmark
1360.0573