Run
569042

Run 569042

Task 9904 (Supervised Classification) autoUniv-au6-750 Uploaded 29-04-2016 by Jan van Rijn
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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
0.519
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.1871
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0513
Cross-validation details (10-fold Crossvalidation)
KB relative information score
66.8163
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.211
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2137
Cross-validation details (10-fold Crossvalidation)
Number of instances
750
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.1768
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.208
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.8958
Cross-validation details (10-fold Crossvalidation)
Recall
0.208
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9871
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3269
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3412
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0438
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1158.8982
UserCPU time millis
80
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
70
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10-fold Crossvalidation)