DEVELOPMENT... OpenML
Run
116698

Run 116698

Task 3722 (Supervised Classification) hungarian 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
0.8186
Per class
Build CPU time
4.2947
Build memory
111863863.4286
F measure
0.7914
Per class
Kappa
0.5454
KB relative information score
159.4793
Mean absolute error
0.2029
Mean prior absolute error
0.4614
Number of instances
294
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7907
Per class
Predictive accuracy
0.7925
Prior entropy
0.9439
Recall
0.7925
Per class
Relative absolute error
0.4398
Root mean prior squared error
0.4802
Root mean squared error
0.4422
Root relative squared error
0.9209
SciMark benchmark
920.2874

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