Run
264222

Run 264222

Task 2978 (Supervised Classification) meta_ensembles.arff Uploaded 05-03-2015 by Joaquin Vanschoren
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Flow

weka.IB1(1)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.

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
0.6418
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.5697
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.2709
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
203.9868
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2196
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.2904
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
740
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.5837
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.5608
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
1.5899
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.5608
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.7563
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3782
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4686
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.2391
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1346.3935
UserCPU time millis
10
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10 times 10-fold Crossvalidation)