DEVELOPMENT... OpenML
Run
129022

Run 129022

Task 3704 (Supervised Classification) kdd_el_nino-small Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_OneR(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_OneR(2)_I20
weka.AdaBoostM1_OneR(2)_P100
weka.AdaBoostM1_OneR(2)_S1
weka.AdaBoostM1_OneR(2)_Wweka.classifiers.rules.OneR
weka.OneR(3)_B6

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
0.9843
Per class
Build CPU time
0.0463
Build memory
1144779137.9744
F measure
0.9282
Per class
Kappa
0.8419
KB relative information score
653.4465
Mean absolute error
0.0724
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
0.9281
Per class
Predictive accuracy
0.9284
Prior entropy
0.9348
Recall
0.9284
Per class
Relative absolute error
0.1591
Root mean prior squared error
0.4771
Root mean squared error
0.2423
Root relative squared error
0.508
SciMark benchmark
909.5718