DEVELOPMENT... OpenML
Run
132995

Run 132995

Task 2078 (Supervised Classification) braziltourism Uploaded 27-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomForest(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_RandomForest(2)_I20
weka.AdaBoostM1_RandomForest(2)_P100
weka.AdaBoostM1_RandomForest(2)_S1
weka.AdaBoostM1_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1

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
0.6398
Per class
Build CPU time
1.0437
Build memory
2466645681.3981
F measure
0.7073
Per class
Kappa
0.1706
KB relative information score
49.1903
Mean absolute error
0.0882
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
0.6878
Per class
Predictive accuracy
0.7403
Prior entropy
1.1781
Recall
0.7403
Per class
Relative absolute error
0.7988
Root mean prior squared error
0.2325
Root mean squared error
0.2557
Root relative squared error
1.1
SciMark benchmark
924.9295