Run
55582

Run 55582

Task 1731 (Learning Curve) pendigits Uploaded 11-11-2014 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
0.9731 ± 0.0028
Per class
Build CPU time
0.0445
Build memory
2841221945.55
F measure
0.8561 ± 0.0097
Per class
Kappa
0.8433 ± 0.0108
KB relative information score
0.8551 ± 0.0084
Mean absolute error
0.0304 ± 0.0017
Mean prior absolute error
0.18 ± 0
Number of instances
10992
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8655 ± 0.0078
Per class
Predictive accuracy
0.859 ± 0.0097
Prior entropy
3.3208 ± 0.0002
Recall
0.859 ± 0.0097
Per class
Relative absolute error
0.1691 ± 0.0095
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.1592 ± 0.0048
Root relative squared error
0.5306 ± 0.0162
SciMark benchmark
1657.0131