DEVELOPMENT... OpenML
Run
135391

Run 135391

Task 2078 (Supervised Classification) braziltourism Uploaded 28-12-2014 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)_I40
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
0.596
Per class
Build CPU time
0.0915
Build memory
675394930.7184
F measure
0.6891
Per class
Kappa
0.1429
KB relative information score
44.4937
Mean absolute error
0.0838
Mean prior absolute error
0.1103
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
0.673
Per class
Predictive accuracy
0.7087
Prior entropy
1.1781
Recall
0.7087
Per class
Relative absolute error
0.7599
Root mean prior squared error
0.2325
Root mean squared error
0.2871
Root relative squared error
1.2348
SciMark benchmark
935.6292