DEVELOPMENT... OpenML
Run
117384

Run 117384

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)_I80
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
0.894
Per class
Build CPU time
150.7824
Build memory
741735816.5121
F measure
0.842
Per class
Kappa
0.5674
KB relative information score
2104.3958
Mean absolute error
0.1876
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
0.8405
Per class
Predictive accuracy
0.8459
Prior entropy
0.8085
Recall
0.8459
Per class
Relative absolute error
0.5027
Root mean prior squared error
0.4319
Root mean squared error
0.3351
Root relative squared error
0.7757
SciMark benchmark
924.6733