DEVELOPMENT... OpenML
Run
117568

Run 117568

Task 2074 (Supervised Classification) satimage 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)_I40
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
0.9747
Per class
Build CPU time
60.6033
Build memory
282215974.4
F measure
0.8389
Per class
Kappa
0.8011
KB relative information score
4686.0656
Mean absolute error
0.0981
Mean prior absolute error
0.2701
Number of instances
6430
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8409
Per class
Predictive accuracy
0.839
Prior entropy
2.4836
Recall
0.839
Per class
Relative absolute error
0.3632
Root mean prior squared error
0.3675
Root mean squared error
0.1971
Root relative squared error
0.5364
SciMark benchmark
937.279