DEVELOPMENT... OpenML
Run
116256

Run 116256

Task 3818 (Supervised Classification) tae 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)_I160
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
0.6772
Per class
Build CPU time
0.0197
Build memory
319642124.6623
F measure
0.6954
Per class
Kappa
0.3254
KB relative information score
31.5386
Mean absolute error
0.3542
Mean prior absolute error
0.4522
Number of instances
151
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6954
Per class
Predictive accuracy
0.6954
Prior entropy
0.9308
Recall
0.6954
Per class
Relative absolute error
0.7834
Root mean prior squared error
0.4752
Root mean squared error
0.4704
Root relative squared error
0.9901
SciMark benchmark
945.0554