OpenML
304001

Run 304001

Task 90 (Learning Curve) credit-g Uploaded 18-03-2015 by Joaquin Vanschoren
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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
0.7834 ± 0.0478
Per class
F measure
0.7411 ± 0.0401
Per class
Kappa
0.3695 ± 0.0989
KB relative information score
0.2748 ± 0.0723
Mean absolute error
0.2959 ± 0.026
Mean prior absolute error
0.4202
Number of instances
10000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7382 ± 0.0423
Per class
Predictive accuracy
0.749 ± 0.0383
Prior entropy
0.8813
Recall
0.749 ± 0.0383
Per class
Relative absolute error
0.7043 ± 0.0618
Root mean prior squared error
0.4583
Root mean squared error
0.4226 ± 0.0303
Root relative squared error
0.9222 ± 0.0661
SciMark benchmark
1353.9654
UserCPU time millis
10
UserCPU time millis testing
10