DEVELOPMENT... OpenML
Run
117415

Run 117415

Task 36 (Supervised Classification) segment 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
0.9982
Per class
Build CPU time
43.8852
Build memory
424158504.8
F measure
0.9831
Per class
Kappa
0.9803
KB relative information score
2268.1714
Mean absolute error
0.0051
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9831
Per class
Predictive accuracy
0.9831
Prior entropy
2.8074
Recall
0.9831
Per class
Relative absolute error
0.0208
Root mean prior squared error
0.3499
Root mean squared error
0.0654
Root relative squared error
0.1868
SciMark benchmark
902.712