DEVELOPMENT... OpenML
Run
117344

Run 117344

Task 3887 (Supervised Classification) analcatdata_germangss 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
0.9378
Per class
Build CPU time
2.2083
Build memory
634399783.2
F measure
0.9227
Per class
Kappa
0.7787
KB relative information score
297.38
Mean absolute error
0.078
Mean prior absolute error
0.3495
Number of instances
400
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9228
Per class
Predictive accuracy
0.9225
Prior entropy
0.7716
Recall
0.9225
Per class
Relative absolute error
0.2232
Root mean prior squared error
0.4176
Root mean squared error
0.2687
Root relative squared error
0.6435
SciMark benchmark
902.712