DEVELOPMENT... OpenML
Run
114348

Run 114348

Task 2274 (Supervised Classification) meta_ensembles.arff Uploaded 09-12-2014 by Felicia West
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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)_I20
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
0.6702
Per class
Build CPU time
0.2987
Build memory
311498862.4865
F measure
0.5993
Per class
Kappa
0.2894
KB relative information score
21.5963
Mean absolute error
0.2069
Mean prior absolute error
0.2904
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5929
Per class
Predictive accuracy
0.6081
Prior entropy
1.5899
Recall
0.6081
Per class
Relative absolute error
0.7125
Root mean prior squared error
0.3782
Root mean squared error
0.4183
Root relative squared error
1.1062
SciMark benchmark
945.0532