DEVELOPMENT... OpenML
Run
118167

Run 118167

Task 3650 (Supervised Classification) wind_correlations 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
0.9289
Per class
Build CPU time
0.2512
Build memory
277172121.9556
F measure
0.9333
Per class
Kappa
0.8665
KB relative information score
38.5724
Mean absolute error
0.0723
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
0.9341
Per class
Predictive accuracy
0.9333
Prior entropy
0.9997
Recall
0.9333
Per class
Relative absolute error
0.1447
Root mean prior squared error
0.4999
Root mean squared error
0.261
Root relative squared error
0.522
SciMark benchmark
944.4197