Run
247727

Run 247727

Task 2978 (Supervised Classification) meta_ensembles.arff Uploaded 04-03-2015 by Joaquin Vanschoren
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Flow

weka.NaiveBayes(10)George H. John, Pat Langley: Estimating Continuous Distributions in Bayesian Classifiers. In: Eleventh Conference on Uncertainty in Artificial Intelligence, San Mateo, 338-345, 1995.

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
0.6767
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.5488
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.2612
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
181.2968
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2389
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
0.6037
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.5243
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
1.5899
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.5243
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.8229
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
0.4752
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.2566
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
889.3151
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)