DEVELOPMENT... OpenML
Run
118226

Run 118226

Task 3725 (Supervised Classification) auto93 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
0.9212
Per class
Build CPU time
0.6428
Build memory
264280506.4946
F measure
0.8702
Per class
Kappa
0.722
KB relative information score
66.6178
Mean absolute error
0.1299
Mean prior absolute error
0.4701
Number of instances
93
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8702
Per class
Predictive accuracy
0.871
Prior entropy
0.9573
Recall
0.871
Per class
Relative absolute error
0.2764
Root mean prior squared error
0.4845
Root mean squared error
0.3513
Root relative squared error
0.7252
SciMark benchmark
942.5053