Run
47106

Run 47106

Task 1723 (Learning Curve) mushroom 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
0.998 ± 0.0008
Per class
Build CPU time
0.009
Build memory
325993380.32
F measure
0.9568 ± 0.0058
Per class
Kappa
0.9135 ± 0.0117
KB relative information score
0.9156 ± 0.0115
Mean absolute error
0.0421 ± 0.0057
Mean prior absolute error
0.4994 ± 0
Number of instances
8124
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.959 ± 0.0051
Per class
Predictive accuracy
0.9569 ± 0.0058
Prior entropy
0.9991 ± 0.0001
Recall
0.9569 ± 0.0058
Per class
Relative absolute error
0.0842 ± 0.0115
Root mean prior squared error
0.4997 ± 0
Root mean squared error
0.1757 ± 0.0138
Root relative squared error
0.3515 ± 0.0275
SciMark benchmark
1932.1045