DEVELOPMENT... OpenML
Run
132624

Run 132624

Task 3704 (Supervised Classification) kdd_el_nino-small Uploaded 27-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomForest(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_RandomForest(2)_I40
weka.AdaBoostM1_RandomForest(2)_P100
weka.AdaBoostM1_RandomForest(2)_S1
weka.AdaBoostM1_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1

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
0.991
Per class
Build CPU time
0.1251
Build memory
1115122627.5601
F measure
0.949
Per class
Kappa
0.8882
KB relative information score
643.5567
Mean absolute error
0.0869
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
0.9492
Per class
Predictive accuracy
0.9488
Prior entropy
0.9348
Recall
0.9488
Per class
Relative absolute error
0.1908
Root mean prior squared error
0.4771
Root mean squared error
0.1902
Root relative squared error
0.3987
SciMark benchmark
920.6725