Run
54610

Run 54610

Task 1701 (Learning Curve) anneal Uploaded 09-11-2014 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.

19 Evaluation measures

Area under ROC curve
0.9025 ± 0.0253
Per class
Build CPU time
0.0026
Build memory
139255337.8667
Kappa
0.4347 ± 0.0221
KB relative information score
0.2507 ± 0.0292
Mean absolute error
0.1201 ± 0.0029
Mean prior absolute error
0.1343 ± 0.0013
Number of instances
898
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.8363 ± 0.0053
Prior entropy
1.1915 ± 0.026
Recall
0.8363 ± 0.0053
Per class
Relative absolute error
0.8944 ± 0.0254
Root mean prior squared error
0.2582 ± 0.0024
Root mean squared error
0.2132 ± 0.005
Root relative squared error
0.8258 ± 0.0171
SciMark benchmark
1633.8128