DEVELOPMENT... OpenML
Run
48664

Run 48664

Task 1711 (Learning Curve) mfeat-factors Uploaded 05-11-2014 by Jason
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  • study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.AdaBoostM1_JRip(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_JRip(2)_I10
weka.AdaBoostM1_JRip(2)_P100
weka.AdaBoostM1_JRip(2)_S1
weka.AdaBoostM1_JRip(2)_Wweka.classifiers.rules.JRip
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1

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
0.9952 ± 0.0029
Per class
Build CPU time
6.3887
Build memory
3490197278.9818
F measure
0.9675 ± 0.0116
Per class
Kappa
0.9639 ± 0.0129
KB relative information score
0.9659 ± 0.0119
Mean absolute error
0.0069 ± 0.0023
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9677 ± 0.0107
Per class
Predictive accuracy
0.9675 ± 0.0116
Prior entropy
3.3219
Recall
0.9675 ± 0.0116
Per class
Relative absolute error
0.0382 ± 0.0127
Root mean prior squared error
0.3
Root mean squared error
0.0775 ± 0.0162
Root relative squared error
0.2584 ± 0.054
SciMark benchmark
1445.6628