DEVELOPMENT... OpenML
Run
136919

Run 136919

Task 3820 (Supervised Classification) braziltourism Uploaded 31-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(2)_I160
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.5998
Per class
Build CPU time
0.2011
Build memory
1134048881.0291
F measure
0.7249
Per class
Kappa
0.1889
KB relative information score
65.325
Mean absolute error
0.259
Mean prior absolute error
0.3529
Number of instances
412
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7162
Per class
Predictive accuracy
0.7379
Prior entropy
0.7771
Recall
0.7379
Per class
Relative absolute error
0.734
Root mean prior squared error
0.4196
Root mean squared error
0.5032
Root relative squared error
1.1991
SciMark benchmark
874.2668