Run
303981

Run 303981

Task 68 (Learning Curve) autos 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
0.8316 ± 0.062
Per class
F measure
0.5651 ± 0.1173
Per class
Kappa
0.4548 ± 0.1336
KB relative information score
0.5109 ± 0.1122
Mean absolute error
0.1262 ± 0.0257
Mean prior absolute error
0.2209 ± 0.0014
Number of instances
2050
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.5863 ± 0.1327
Per class
Predictive accuracy
0.5717 ± 0.1059
Prior entropy
2.2802 ± 0.0732
Recall
0.5717 ± 0.1059
Per class
Relative absolute error
0.5711 ± 0.1164
Root mean prior squared error
0.3318 ± 0.0021
Root mean squared error
0.3156 ± 0.0414
Root relative squared error
0.9512 ± 0.1248
SciMark benchmark
1322.4917
UserCPU time millis
10
UserCPU time millis testing
10