DEVELOPMENT... OpenML
Run
118554

Run 118554

Task 2352 (Supervised Classification) meta_all.arff 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)_I10
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
0.77
Per class
Build CPU time
0.775
Build memory
431882816
F measure
0.6917
Per class
Kappa
0.4615
KB relative information score
8.8939
Mean absolute error
0.1099
Mean prior absolute error
0.1912
Number of instances
23
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7291
Per class
Predictive accuracy
0.6957
Prior entropy
1.9094
Recall
0.6957
Per class
Relative absolute error
0.5745
Root mean prior squared error
0.2919
Root mean squared error
0.3106
Root relative squared error
1.0642
SciMark benchmark
923.9118