DEVELOPMENT... OpenML
Run
51014

Run 51014

Task 1701 (Learning Curve) anneal 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
0.8847 ± 0.0199
Per class
Build CPU time
0.006
Build memory
3090302673.9556
Kappa
0.4347 ± 0.0221
KB relative information score
0.3761 ± 0.0377
Mean absolute error
0.0953 ± 0.0042
Mean prior absolute error
0.1343 ± 0.0013
Number of instances
898
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.8363 ± 0.0053
Prior entropy
1.1915 ± 0.026
Recall
0.8363 ± 0.0053
Per class
Relative absolute error
0.7095 ± 0.0328
Root mean prior squared error
0.2582 ± 0.0024
Root mean squared error
0.2059 ± 0.0072
Root relative squared error
0.7975 ± 0.0278
SciMark benchmark
1367.6268