Run
437740

Run 437740

Task 7532 (Learning Curve) monks-problems-1 Uploaded 13-05-2015 by Joaquin Vanschoren
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Flow

weka.AttributeSelectedClassifier_PrincipalComponents_Ranker_J48(1)Weka implementation of AttributeSelectedClassifier
weka.J48(28)_C0.25
weka.J48(28)_M2
weka.AttributeSelectedClassifier_PrincipalComponents_Ranker_J48(1)_Eweka.attributeSelection.PrincipalComponents
weka.AttributeSelectedClassifier_PrincipalComponents_Ranker_J48(1)_Sweka.attributeSelection.Ranker
weka.AttributeSelectedClassifier_PrincipalComponents_Ranker_J48(1)_Wweka.classifiers.trees.J48
weka.PrincipalComponents(11)_R0.95
weka.PrincipalComponents(11)_A5
weka.Ranker(2)_T-1.7976931348623157E308
weka.Ranker(2)_N-1

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
0.9867 ± 0.0311
Per class
F measure
0.982 ± 0.0267
Per class
Kappa
0.964 ± 0.0532
KB relative information score
0.9591 ± 0.0549
Mean absolute error
0.0213 ± 0.0279
Mean prior absolute error
0.5
Number of instances
556
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9821 ± 0.0254
Per class
Predictive accuracy
0.982 ± 0.0266
Prior entropy
1
Recall
0.982 ± 0.0266
Per class
Relative absolute error
0.0426 ± 0.0557
Root mean prior squared error
0.5
Root mean squared error
0.134 ± 0.1049
Root relative squared error
0.2679 ± 0.2097
SciMark benchmark
941.3619
UserCPU time millis
10
UserCPU time millis training
10