DEVELOPMENT... OpenML
Run
53739

Run 53739

Task 1735 (Learning Curve) segment Uploaded 08-11-2014 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
0.8798 ± 0.0072
Per class
Build CPU time
0.0231
Build memory
1098438477.8
Kappa
0.4929 ± 0.0054
KB relative information score
0.3189 ± 0.0044
Mean absolute error
0.2089 ± 0.0007
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.5654 ± 0.0047
Prior entropy
2.8074
Recall
0.5654 ± 0.0047
Per class
Relative absolute error
0.8529 ± 0.0029
Root mean prior squared error
0.3499
Root mean squared error
0.3161 ± 0.0023
Root relative squared error
0.9033 ± 0.0067
SciMark benchmark
1462.4645