DEVELOPMENT... OpenML
Run
114142

Run 114142

Task 3672 (Supervised Classification) kin8nm 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)_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
0.9105
Per class
Build CPU time
18.5083
Build memory
747713106.248
F measure
0.8312
Per class
Kappa
0.6623
KB relative information score
5080.8495
Mean absolute error
0.1952
Mean prior absolute error
0.4998
Number of instances
8192
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8312
Per class
Predictive accuracy
0.8312
Prior entropy
0.9998
Recall
0.8312
Per class
Relative absolute error
0.3905
Root mean prior squared error
0.4999
Root mean squared error
0.3575
Root relative squared error
0.715
SciMark benchmark
920.7965