Run
304036

Run 304036

Task 1702 (Learning Curve) kr-vs-kp 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
0.9522 ± 0.008
Per class
F measure
0.8779 ± 0.0141
Per class
Kappa
0.7552 ± 0.0284
KB relative information score
0.6095 ± 0.0204
Mean absolute error
0.209 ± 0.0098
Mean prior absolute error
0.499 ± 0.0001
Number of instances
3196
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8781 ± 0.0143
Per class
Predictive accuracy
0.878 ± 0.0141
Prior entropy
0.9986 ± 0.0002
Recall
0.878 ± 0.0141
Per class
Relative absolute error
0.4189 ± 0.0197
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.3025 ± 0.011
Root relative squared error
0.6056 ± 0.0221
SciMark benchmark
1371.9018
UserCPU time millis
40
UserCPU time millis testing
40