DEVELOPMENT... OpenML
Run
51027

Run 51027

Task 1720 (Learning Curve) car 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
0.8454 ± 0.0605
Per class
Build CPU time
0.0013
Build memory
981631105.3818
KB relative information score
0.1294 ± 0.0363
Mean absolute error
0.1973 ± 0.0038
Mean prior absolute error
0.229 ± 0.0007
Number of instances
1728
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.7002 ± 0.0023
Prior entropy
1.2058 ± 0.0093
Recall
0.7002 ± 0.0023
Per class
Relative absolute error
0.8616 ± 0.0186
Root mean prior squared error
0.3381 ± 0.001
Root mean squared error
0.3041 ± 0.0061
Root relative squared error
0.8993 ± 0.0196
SciMark benchmark
1651.8608