DEVELOPMENT... OpenML
Run
136228

Run 136228

Task 3712 (Supervised Classification) wind Uploaded 31-12-2014 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)_I80
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
0.8028
Per class
Build CPU time
0.0746
Build memory
47301342.8269
F measure
0.8034
Per class
Kappa
0.6052
KB relative information score
3972.1128
Mean absolute error
0.1967
Mean prior absolute error
0.4979
Number of instances
6574
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8035
Per class
Predictive accuracy
0.8033
Prior entropy
0.9969
Recall
0.8033
Per class
Relative absolute error
0.395
Root mean prior squared error
0.4989
Root mean squared error
0.4435
Root relative squared error
0.8889
SciMark benchmark
874.2668