DEVELOPMENT... OpenML
Run
118837

Run 118837

Task 3804 (Supervised Classification) lowbwt 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)_I10
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
0.856
Per class
Build CPU time
0.1763
Build memory
1148366060.0635
F measure
0.7984
Per class
Kappa
0.5957
KB relative information score
112.408
Mean absolute error
0.2025
Mean prior absolute error
0.4989
Number of instances
189
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7995
Per class
Predictive accuracy
0.7989
Prior entropy
0.9984
Recall
0.7989
Per class
Relative absolute error
0.406
Root mean prior squared error
0.4994
Root mean squared error
0.4239
Root relative squared error
0.8489
SciMark benchmark
923.3659

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