DEVELOPMENT... OpenML
Run
117227

Run 117227

Task 3704 (Supervised Classification) kdd_el_nino-small Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LADTree(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_LADTree(2)_I80
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.9805
Per class
Build CPU time
22.8183
Build memory
1249249584.8491
F measure
0.9579
Per class
Kappa
0.9075
KB relative information score
703.1109
Mean absolute error
0.0446
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
0.9579
Per class
Predictive accuracy
0.9578
Prior entropy
0.9348
Recall
0.9578
Per class
Relative absolute error
0.0981
Root mean prior squared error
0.4771
Root mean squared error
0.2062
Root relative squared error
0.4323
SciMark benchmark
890.3066