DEVELOPMENT... OpenML
Run
120923

Run 120923

Task 3650 (Supervised Classification) wind_correlations Uploaded 11-12-2014 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)_I40
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
0.9269
Per class
Build CPU time
1.011
Build memory
116775783.8222
F measure
0.9111
Per class
Kappa
0.8221
KB relative information score
36.9045
Mean absolute error
0.0902
Mean prior absolute error
0.4998
Number of instances
45
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9111
Per class
Predictive accuracy
0.9111
Prior entropy
0.9997
Recall
0.9111
Per class
Relative absolute error
0.1805
Root mean prior squared error
0.4999
Root mean squared error
0.2968
Root relative squared error
0.5937
SciMark benchmark
936.1433