DEVELOPMENT... OpenML
Run
134976

Run 134976

Task 3650 (Supervised Classification) wind_correlations Uploaded 28-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(2)_I20
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.8231
Per class
Build CPU time
0.0011
Build memory
2098871550.2222
F measure
0.822
Per class
Kappa
0.645
KB relative information score
28.9882
Mean absolute error
0.1778
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
0.8251
Per class
Predictive accuracy
0.8222
Prior entropy
0.9997
Recall
0.8222
Per class
Relative absolute error
0.3557
Root mean prior squared error
0.4999
Root mean squared error
0.4216
Root relative squared error
0.8435
SciMark benchmark
946.9091