DEVELOPMENT... OpenML
Run
122090

Run 122090

Task 3704 (Supervised Classification) kdd_el_nino-small Uploaded 13-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LMT(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_LMT(2)_I160
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.9605
Per class
Build CPU time
272.7542
Build memory
622530138.9054
F measure
0.9617
Per class
Kappa
0.9159
KB relative information score
713.2099
Mean absolute error
0.0384
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
0.9617
Per class
Predictive accuracy
0.9616
Prior entropy
0.9348
Recall
0.9616
Per class
Relative absolute error
0.0842
Root mean prior squared error
0.4771
Root mean squared error
0.1959
Root relative squared error
0.4105
SciMark benchmark
943.4163

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