DEVELOPMENT... OpenML
Run
117520

Run 117520

Task 2079 (Supervised Classification) eucalyptus 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
0.8798
Per class
Build CPU time
5.156
Build memory
1229986760.9348
F measure
0.644
Per class
Kappa
0.5426
KB relative information score
249.0621
Mean absolute error
0.2467
Mean prior absolute error
0.3132
Number of instances
736
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6569
Per class
Predictive accuracy
0.6467
Prior entropy
2.2629
Recall
0.6467
Per class
Relative absolute error
0.7876
Root mean prior squared error
0.3957
Root mean squared error
0.329
Root relative squared error
0.8313
SciMark benchmark
874.7324