DEVELOPMENT... OpenML
Run
48508

Run 48508

Task 1730 (Learning Curve) credit-g Uploaded 05-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.AdaBoostM1_IBk(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_IBk(2)_I10
weka.AdaBoostM1_IBk(2)_P100
weka.AdaBoostM1_IBk(2)_S1
weka.AdaBoostM1_IBk(2)_Wweka.classifiers.lazy.IBk
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

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
0.6486 ± 0.0459
Per class
Build CPU time
0.0186
Build memory
3809615451.5556
F measure
0.7118 ± 0.0381
Per class
Kappa
0.3053 ± 0.0939
KB relative information score
0.274 ± 0.094
Mean absolute error
0.2845 ± 0.0368
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7088 ± 0.0399
Per class
Predictive accuracy
0.716 ± 0.0369
Prior entropy
0.8813
Recall
0.716 ± 0.0369
Per class
Relative absolute error
0.6771 ± 0.0876
Root mean prior squared error
0.4583
Root mean squared error
0.5323 ± 0.0343
Root relative squared error
1.1616 ± 0.0748
SciMark benchmark
1729.8248