Run
248055

Run 248055

Task 3907 (Supervised Classification) mc1 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
0.813
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9636
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1174
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-58344.8965
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0588
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0144
Cross-validation details (10-fold Crossvalidation)
Number of instances
9466
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
0.9903
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9414
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.0622
Cross-validation details (10-fold Crossvalidation)
Recall
0.9414
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
4.0961
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.0845
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2396
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
2.8366
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
889.3151
UserCPU time millis
200
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
130
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
70
Cross-validation details (10-fold Crossvalidation)