Run
51033

Run 51033

Task 1728 (Learning Curve) credit-approval 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.

21 Evaluation measures

Area under ROC curve
0.8426 ± 0.0415
Per class
Build CPU time
0.0029
Build memory
650933017.6
F measure
0.8554 ± 0.0421
Per class
Kappa
0.7116 ± 0.0829
KB relative information score
0.5566 ± 0.062
Mean absolute error
0.2376 ± 0.0275
Mean prior absolute error
0.494 ± 0.0008
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8663 ± 0.0399
Per class
Predictive accuracy
0.8551 ± 0.0421
Prior entropy
0.9912 ± 0.0022
Recall
0.8551 ± 0.0421
Per class
Relative absolute error
0.481 ± 0.0558
Root mean prior squared error
0.497 ± 0.0008
Root mean squared error
0.3452 ± 0.0424
Root relative squared error
0.6946 ± 0.0853
SciMark benchmark
1662.0484