DEVELOPMENT... OpenML
Run
114966

Run 114966

Task 3544 (Supervised Classification) analcatdata_broadwaymult 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)_I40
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
0.5826
Per class
Build CPU time
0.047
Build memory
1341817260.2105
F measure
0.3369
Per class
Kappa
0.1347
KB relative information score
23.9793
Mean absolute error
0.2203
Mean prior absolute error
0.2203
Number of instances
285
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3958
Per class
Predictive accuracy
0.4351
Prior entropy
2.4897
Recall
0.4351
Per class
Relative absolute error
1.0001
Root mean prior squared error
0.3314
Root mean squared error
0.3426
Root relative squared error
1.0338
SciMark benchmark
913.3372