DEVELOPMENT... OpenML
Run
116689

Run 116689

Task 3713 (Supervised Classification) schlvote Uploaded 09-12-2014 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)_I160
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
0.7357
Per class
Build CPU time
0.2206
Build memory
238937394.9474
F measure
0.8126
Per class
Kappa
0.5092
KB relative information score
18.0575
Mean absolute error
0.1844
Mean prior absolute error
0.3934
Number of instances
38
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8106
Per class
Predictive accuracy
0.8158
Prior entropy
0.8485
Recall
0.8158
Per class
Relative absolute error
0.4686
Root mean prior squared error
0.4405
Root mean squared error
0.4292
Root relative squared error
0.9743
SciMark benchmark
920.2874