Run
203258

Run 203258

Task 4467 (Supervised Classification) analcatdata_negotiation 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
0.8537
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7682
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.4187
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
316.0196
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2573
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4075
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
920
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
0.7656
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.7728
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.8651
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.7728
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.6313
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4503
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3741
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.8309
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
937.1527
UserCPU time millis
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)