DEVELOPMENT... OpenML
Run
51037

Run 51037

Task 1730 (Learning Curve) credit-g 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
0.6522 ± 0.0452
Per class
Build CPU time
0.0035
Build memory
920446642.4889
KB relative information score
0.0581 ± 0.0398
Mean absolute error
0.377 ± 0.0127
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.7
Prior entropy
0.8813
Recall
0.7
Per class
Relative absolute error
0.8972 ± 0.0302
Root mean prior squared error
0.4583
Root mean squared error
0.4343 ± 0.0144
Root relative squared error
0.9478 ± 0.0313
SciMark benchmark
1662.0484