Run
203429

Run 203429

Task 2980 (Supervised Classification) meta_stream_intervals.arff Uploaded 27-02-2015 by Joaquin Vanschoren
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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
0.9964
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9717
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.9596
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
433613.0819
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0061
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.1072
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
451640
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
0.9718
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9719
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
2.3329
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9719
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.0573
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.2315
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.0572
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.2471
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
944.5495
UserCPU time millis
352780
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
352760
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
20
Cross-validation details (10 times 10-fold Crossvalidation)