DEVELOPMENT... OpenML
Run
116770

Run 116770

Task 3810 (Supervised Classification) arsenic-male-bladder 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
0.7873
Per class
Build CPU time
17.936
Build memory
414366184.7156
F measure
0.9732
Per class
Kappa
0.6539
KB relative information score
301.7486
Mean absolute error
0.0249
Mean prior absolute error
0.0837
Number of instances
559
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9728
Per class
Predictive accuracy
0.975
Prior entropy
0.2628
Recall
0.975
Per class
Relative absolute error
0.297
Root mean prior squared error
0.2027
Root mean squared error
0.157
Root relative squared error
0.7745
SciMark benchmark
939.6298