Run
247961

Run 247961

Task 3750 (Supervised Classification) mbagrade 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
0.722
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6554
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3087
Cross-validation details (10-fold Crossvalidation)
KB relative information score
11.4929
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4142
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4988
Cross-validation details (10-fold Crossvalidation)
Number of instances
61
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6553
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6557
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9984
Cross-validation details (10-fold Crossvalidation)
Recall
0.6557
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8303
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4994
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4572
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9155
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
889.3151
UserCPU time millis
10
UserCPU time millis training
10