Run
57163

Run 57163

Task 1728 (Learning Curve) credit-approval Uploaded 12-11-2014 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.AdaBoostM1_DecisionStump(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_DecisionStump(2)_I10
weka.AdaBoostM1_DecisionStump(2)_P100
weka.AdaBoostM1_DecisionStump(2)_S1
weka.AdaBoostM1_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.9273 ± 0.0358
Per class
Build CPU time
0.0044
Build memory
1846081116.9
F measure
0.851 ± 0.054
Per class
Kappa
0.6992 ± 0.1102
KB relative information score
0.6065 ± 0.0697
Mean absolute error
0.2059 ± 0.0314
Mean prior absolute error
0.494 ± 0.0008
Number of instances
690
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.8521 ± 0.0543
Per class
Predictive accuracy
0.8507 ± 0.0534
Prior entropy
0.9912 ± 0.0022
Recall
0.8507 ± 0.0534
Per class
Relative absolute error
0.4168 ± 0.0638
Root mean prior squared error
0.497 ± 0.0008
Root mean squared error
0.32 ± 0.0438
Root relative squared error
0.6438 ± 0.0884
SciMark benchmark
1910.4834