DEVELOPMENT... OpenML
Run
118372

Run 118372

Task 3917 (Supervised Classification) kc1 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
0.7789
Per class
Build CPU time
7.6681
Build memory
355101200.5993
F measure
0.8247
Per class
Kappa
0.2648
KB relative information score
227.5996
Mean absolute error
0.1937
Mean prior absolute error
0.2616
Number of instances
2109
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8183
Per class
Predictive accuracy
0.8464
Prior entropy
0.622
Recall
0.8464
Per class
Relative absolute error
0.7405
Root mean prior squared error
0.3615
Root mean squared error
0.3422
Root relative squared error
0.9467
SciMark benchmark
908.8705