Run
228134

Run 228134

Task 3798 (Supervised Classification) fri_c1_250_10 Uploaded 01-03-2015 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
0.729
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7159
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4231
Cross-validation details (10-fold Crossvalidation)
KB relative information score
63.0765
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3781
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4929
Cross-validation details (10-fold Crossvalidation)
Number of instances
250
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7157
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.716
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9898
Cross-validation details (10-fold Crossvalidation)
Recall
0.716
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7673
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4964
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4662
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9392
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1363.454
UserCPU time millis
10
UserCPU time millis testing
10
UserCPU time millis training