DEVELOPMENT... OpenML
Run
118217

Run 118217

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)_I20
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
0.9874
Per class
Build CPU time
6.3323
Build memory
194827547.4578
F measure
0.9424
Per class
Kappa
0.8735
KB relative information score
677.8063
Mean absolute error
0.0584
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
0.9424
Per class
Predictive accuracy
0.9425
Prior entropy
0.9348
Recall
0.9425
Per class
Relative absolute error
0.1283
Root mean prior squared error
0.4771
Root mean squared error
0.2222
Root relative squared error
0.4658
SciMark benchmark
942.5053