DEVELOPMENT... OpenML
Run
117778

Run 117778

Task 3761 (Supervised Classification) hip 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
0.8523
Per class
Build CPU time
0.0914
Build memory
847793506.3704
F measure
0.8332
Per class
Kappa
0.6658
KB relative information score
36.0285
Mean absolute error
0.1659
Mean prior absolute error
0.4993
Number of instances
54
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8336
Per class
Predictive accuracy
0.8333
Prior entropy
0.9991
Recall
0.8333
Per class
Relative absolute error
0.3321
Root mean prior squared error
0.4997
Root mean squared error
0.4061
Root relative squared error
0.8128
SciMark benchmark
924.6733