Run
50368

Run 50368

Task 9 (Supervised Classification) autos Uploaded 06-11-2014 by Manuel Martin Salvador
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Flow

weka.NaiveBayes(2)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.

21 Evaluation measures

Area under ROC curve
0.832
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0002
Cross-validation details (10-fold Crossvalidation)
Build memory
491853184.5854
Cross-validation details (10-fold Crossvalidation)
F measure
0.5432
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4273
Cross-validation details (10-fold Crossvalidation)
KB relative information score
101.7446
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1259
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2209
Cross-validation details (10-fold Crossvalidation)
Number of instances
205
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_13, amd64, Windows 7, 6.1]
Precision
0.5612
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5512
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.3268
Cross-validation details (10-fold Crossvalidation)
Recall
0.5512
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5699
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3318
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3176
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9574
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1469.6837