DEVELOPMENT... OpenML
Run
115097

Run 115097

Task 3704 (Supervised Classification) kdd_el_nino-small 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
0.9744
Per class
Build CPU time
0.7576
Build memory
974138601.0128
F measure
0.9552
Per class
Kappa
0.9016
KB relative information score
699.9799
Mean absolute error
0.046
Mean prior absolute error
0.4553
Number of instances
782
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9552
Per class
Predictive accuracy
0.9552
Prior entropy
0.9348
Recall
0.9552
Per class
Relative absolute error
0.1011
Root mean prior squared error
0.4771
Root mean squared error
0.2048
Root relative squared error
0.4292
SciMark benchmark
913.3372