DEVELOPMENT... OpenML
Run
116431

Run 116431

Task 285 (Supervised Classification) vote 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
0.9977
Per class
Build CPU time
0.116
Build memory
294103432
F measure
0.972
Per class
Kappa
0.9409
KB relative information score
131.9838
Mean absolute error
0.037
Mean prior absolute error
0.4739
Number of instances
143
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.972
Per class
Predictive accuracy
0.972
Prior entropy
0.9627
Recall
0.972
Per class
Relative absolute error
0.078
Root mean prior squared error
0.4865
Root mean squared error
0.1346
Root relative squared error
0.2767
SciMark benchmark
893.4088