DEVELOPMENT... OpenML
Run
118349

Run 118349

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)_I20
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
0.9885
Per class
Build CPU time
11.6341
Build memory
280132779.5198
F measure
0.973
Per class
Kappa
0.852
KB relative information score
4291.128
Mean absolute error
0.0305
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
0.9729
Per class
Predictive accuracy
0.9731
Prior entropy
0.4768
Recall
0.9731
Per class
Relative absolute error
0.1658
Root mean prior squared error
0.3031
Root mean squared error
0.1512
Root relative squared error
0.499
SciMark benchmark
945.0532