DEVELOPMENT... OpenML
Run
118899

Run 118899

Task 3884 (Supervised Classification) page-blocks 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
0.9876
Per class
Build CPU time
6.234
Build memory
1145581763.2947
F measure
0.9693
Per class
Kappa
0.8309
KB relative information score
4149.0338
Mean absolute error
0.0351
Mean prior absolute error
0.1838
Number of instances
5473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9691
Per class
Predictive accuracy
0.9697
Prior entropy
0.4768
Recall
0.9697
Per class
Relative absolute error
0.1911
Root mean prior squared error
0.3031
Root mean squared error
0.1571
Root relative squared error
0.5183
SciMark benchmark
916.8516