Run
248689

Run 248689

Task 288 (Supervised Classification) waveform-5000 Uploaded 04-03-2015 by Jan van Rijn
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Flow

weka.FilteredClassifier_Standardize_NaiveBayes(1)Weka implementation of FilteredClassifier
weka.FilteredClassifier_Standardize_NaiveBayes(1)_Wweka.classifiers.bayes.NaiveBayes

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
0.9585
Per class
Cross-validation details (33% Holdout set)
F measure
0.7947
Per class
Cross-validation details (33% Holdout set)
Kappa
0.7119
Cross-validation details (33% Holdout set)
KB relative information score
1205.708
Cross-validation details (33% Holdout set)
Mean absolute error
0.1336
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4444
Cross-validation details (33% Holdout set)
Number of instances
1650
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8429
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.8079
Cross-validation details (33% Holdout set)
Prior entropy
1.5849
Cross-validation details (33% Holdout set)
Recall
0.8079
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.3005
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4714
Cross-validation details (33% Holdout set)
Root mean squared error
0.3334
Cross-validation details (33% Holdout set)
Root relative squared error
0.7073
Cross-validation details (33% Holdout set)
SciMark benchmark
1358.4523
UserCPU time millis
210
Cross-validation details (33% Holdout set)
UserCPU time millis testing
160
Cross-validation details (33% Holdout set)
UserCPU time millis training
50
Cross-validation details (33% Holdout set)