Run
47130

Run 47130

Task 1727 (Learning Curve) optdigits Uploaded 05-11-2014 by Jan van Rijn
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  • 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.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.9816 ± 0.0056
Per class
Build CPU time
0.0836
Build memory
1046120995.8857
F measure
0.9143 ± 0.0139
Per class
Kappa
0.9043 ± 0.0153
KB relative information score
0.9153 ± 0.0151
Mean absolute error
0.0178 ± 0.0029
Mean prior absolute error
0.18 ± 0
Number of instances
5620
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9165 ± 0.0132
Per class
Predictive accuracy
0.9139 ± 0.0138
Prior entropy
3.3218 ± 0.0001
Recall
0.9139 ± 0.0138
Per class
Relative absolute error
0.0992 ± 0.0161
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.1222 ± 0.0109
Root relative squared error
0.4074 ± 0.0365
SciMark benchmark
1445.6628