Run
505321

Run 505321

Task 7558 (Supervised Classification) PizzaCutter1 Uploaded 13-01-2016 by Casey Davis
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Flow

weka.NaiveBayes(13)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
0.6669
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8929
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2741
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-27.4504
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1087
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.146
Cross-validation details (10-fold Crossvalidation)
Number of instances
661
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_60, amd64, Linux, 3.16.0-38-generic]
Precision
0.8948
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8911
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.402
Cross-validation details (10-fold Crossvalidation)
Recall
0.8911
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7445
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2692
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3269
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2142
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1231.3229
UserCPU time millis
20
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10-fold Crossvalidation)