DEVELOPMENT... OpenML
Run
120427

Run 120427

Task 3704 (Supervised Classification) kdd_el_nino-small Uploaded 10-12-2014 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)_I20
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
0.97
Per class
Build CPU time
31.2188
Build memory
114946444.5831
F measure
0.9604
Per class
Kappa
0.9131
KB relative information score
711.2861
Mean absolute error
0.0394
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
0.9605
Per class
Predictive accuracy
0.9604
Prior entropy
0.9348
Recall
0.9604
Per class
Relative absolute error
0.0865
Root mean prior squared error
0.4771
Root mean squared error
0.1956
Root relative squared error
0.4101
SciMark benchmark
939.521