Run
51028

Run 51028

Task 1722 (Learning Curve) cmc Uploaded 06-11-2014 by Jan van Rijn
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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
0.5912 ± 0.0398
Per class
Build CPU time
0.0036
Build memory
170397709.44
Kappa
0.0028 ± 0.0088
KB relative information score
0.0638 ± 0.017
Mean absolute error
0.4092 ± 0.0082
Mean prior absolute error
0.4308 ± 0.0004
Number of instances
1473
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.4263 ± 0.0037
Prior entropy
1.539 ± 0.0029
Recall
0.4263 ± 0.0037
Per class
Relative absolute error
0.9498 ± 0.0194
Root mean prior squared error
0.4641 ± 0.0005
Root mean squared error
0.4519 ± 0.0044
Root relative squared error
0.9736 ± 0.0099
SciMark benchmark
1914.93