Run
202438

Run 202438

Task 2978 (Supervised Classification) meta_ensembles.arff Uploaded 27-02-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.IBk(4)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
weka.IBk(4)_K5
weka.IBk(4)_W0
weka.IBk(4)_Atrue

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
0.6837
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.5497
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.2145
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
178.1304
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2429
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
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5832
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.6189
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
1.5899
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.6189
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.8367
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
0.3688
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9752
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
944.5495
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)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)