Run
47110

Run 47110

Task 1711 (Learning Curve) mfeat-factors Uploaded 05-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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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
0.9795 ± 0.0083
Per class
Build CPU time
0.1369
Build memory
779633896.7273
F measure
0.9276 ± 0.0203
Per class
Kappa
0.9194 ± 0.0224
KB relative information score
0.9289 ± 0.0179
Mean absolute error
0.015 ± 0.0035
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9285 ± 0.0194
Per class
Predictive accuracy
0.9275 ± 0.0202
Prior entropy
3.3219
Recall
0.9275 ± 0.0202
Per class
Relative absolute error
0.0835 ± 0.0194
Root mean prior squared error
0.3
Root mean squared error
0.112 ± 0.0158
Root relative squared error
0.3732 ± 0.0526
SciMark benchmark
1631.9056