Run
47109

Run 47109

Task 1721 (Learning Curve) mfeat-zernike Uploaded 05-11-2014 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
Issue #Downvotes for this reason By


Flow

weka.Bagging_NaiveBayes(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_NaiveBayes(2)_I10
weka.Bagging_NaiveBayes(2)_P100
weka.Bagging_NaiveBayes(2)_S1
weka.Bagging_NaiveBayes(2)_Wweka.classifiers.bayes.NaiveBayes
weka.Bagging_NaiveBayes(2)_num-slots1

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.

21 Evaluation measures

Area under ROC curve
0.9546 ± 0.0084
Per class
Build CPU time
0.0365
Build memory
724887895.9273
F measure
0.7232 ± 0.0302
Per class
Kappa
0.6939 ± 0.0392
KB relative information score
0.7649 ± 0.0293
Mean absolute error
0.0547 ± 0.0054
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.7231 ± 0.0267
Per class
Predictive accuracy
0.7245 ± 0.0353
Prior entropy
3.3219
Recall
0.7245 ± 0.0353
Per class
Relative absolute error
0.3037 ± 0.0298
Root mean prior squared error
0.3
Root mean squared error
0.1959 ± 0.012
Root relative squared error
0.653 ± 0.04
SciMark benchmark
1794.5417