DEVELOPMENT... OpenML
Run
118317

Run 118317

Task 3849 (Supervised Classification) analcatdata_marketing 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
0.5701
Per class
Build CPU time
3.9966
Build memory
643634369.2308
F measure
0.6175
Per class
Kappa
0.0931
KB relative information score
30.0305
Mean absolute error
0.3758
Mean prior absolute error
0.4326
Number of instances
364
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6093
Per class
Predictive accuracy
0.6319
Prior entropy
0.901
Recall
0.6319
Per class
Relative absolute error
0.8686
Root mean prior squared error
0.4649
Root mean squared error
0.5503
Root relative squared error
1.1838
SciMark benchmark
944.4197