DEVELOPMENT... OpenML
Run
117687

Run 117687

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)_I40
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
0.9328
Per class
Build CPU time
0.5981
Build memory
238520630.5778
F measure
0.9333
Per class
Kappa
0.8665
KB relative information score
38.9948
Mean absolute error
0.0667
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
0.1334
Root mean prior squared error
0.4999
Root mean squared error
0.2582
Root relative squared error
0.5165
SciMark benchmark
902.712