DEVELOPMENT... OpenML
Run
118945

Run 118945

Task 3896 (Supervised Classification) ada_agnostic 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
0.8839
Per class
Build CPU time
25.1712
Build memory
219052541.9062
F measure
0.8351
Per class
Kappa
0.5474
KB relative information score
1929.4405
Mean absolute error
0.2047
Mean prior absolute error
0.3732
Number of instances
4562
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8335
Per class
Predictive accuracy
0.8398
Prior entropy
0.8085
Recall
0.8398
Per class
Relative absolute error
0.5486
Root mean prior squared error
0.4319
Root mean squared error
0.3409
Root relative squared error
0.7892
SciMark benchmark
933.4498