DEVELOPMENT... OpenML
Run
55332

Run 55332

Task 2102 (Learning Curve) eucalyptus Uploaded 10-11-2014 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
0.7968 ± 0.0411
Per class
Build CPU time
0.0048
Build memory
76541331
Kappa
0.3139 ± 0.0474
KB relative information score
0.3165 ± 0.0231
Mean absolute error
0.2464 ± 0.0074
Mean prior absolute error
0.3132 ± 0.0002
Number of instances
736
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.5014 ± 0.0339
Prior entropy
2.2621 ± 0.0043
Recall
0.5014 ± 0.0339
Per class
Relative absolute error
0.7866 ± 0.0232
Root mean prior squared error
0.3957 ± 0.0003
Root mean squared error
0.3478 ± 0.0072
Root relative squared error
0.879 ± 0.0178
SciMark benchmark
1814.8577