Run
304085

Run 304085

Task 1752 (Learning Curve) vehicle Uploaded 18-03-2015 by Joaquin Vanschoren
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  • study_2 study_37 weka weka_3.7.12
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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
0.7658 ± 0.0379
Per class
F measure
0.402 ± 0.0636
Per class
Kappa
0.2572 ± 0.07
KB relative information score
0.3372 ± 0.0485
Mean absolute error
0.2844 ± 0.0176
Mean prior absolute error
0.3748 ± 0
Number of instances
846
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.4983 ± 0.0875
Per class
Predictive accuracy
0.4385 ± 0.0531
Prior entropy
1.9991 ± 0.0005
Recall
0.4385 ± 0.0531
Per class
Relative absolute error
0.7587 ± 0.047
Root mean prior squared error
0.4329 ± 0
Root mean squared error
0.4641 ± 0.0229
Root relative squared error
1.0721 ± 0.0528
SciMark benchmark
1371.9018
UserCPU time millis
20
UserCPU time millis testing
20