DEVELOPMENT... OpenML
Run
51043

Run 51043

Task 1727 (Learning Curve) optdigits Uploaded 06-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.Bagging_DecisionStump(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_DecisionStump(2)_I10
weka.Bagging_DecisionStump(2)_P100
weka.Bagging_DecisionStump(2)_S1
weka.Bagging_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump
weka.Bagging_DecisionStump(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.

19 Evaluation measures

Area under ROC curve
0.6841 ± 0.0088
Per class
Build CPU time
0.0655
Build memory
240977214.1143
Kappa
0.11 ± 0.0021
KB relative information score
0.1917 ± 0.0022
Mean absolute error
0.1688 ± 0.0002
Mean prior absolute error
0.18 ± 0
Number of instances
5620
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.1988 ± 0.0019
Prior entropy
3.3218 ± 0.0001
Recall
0.1988 ± 0.0019
Per class
Relative absolute error
0.938 ± 0.0013
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.2905 ± 0.0005
Root relative squared error
0.9682 ± 0.0016
SciMark benchmark
1914.93