Run
247942

Run 247942

Task 3718 (Supervised Classification) boston 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
0.8626
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7479
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.505
Cross-validation details (10-fold Crossvalidation)
KB relative information score
236.8722
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2541
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4849
Cross-validation details (10-fold Crossvalidation)
Number of instances
506
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
0.7831
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.747
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9782
Cross-validation details (10-fold Crossvalidation)
Recall
0.747
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.524
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4924
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.482
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.979
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
889.3151
UserCPU time millis
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)