DEVELOPMENT... OpenML
Run
118766

Run 118766

Task 3722 (Supervised Classification) hungarian 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
0.8368
Per class
Build CPU time
0.2984
Build memory
594850767.0476
F measure
0.7791
Per class
Kappa
0.5215
KB relative information score
143.1582
Mean absolute error
0.2299
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
0.7794
Per class
Predictive accuracy
0.7789
Prior entropy
0.9439
Recall
0.7789
Per class
Relative absolute error
0.4984
Root mean prior squared error
0.4802
Root mean squared error
0.4322
Root relative squared error
0.9001
SciMark benchmark
937.6343