DEVELOPMENT... OpenML
Run
133925

Run 133925

Task 3820 (Supervised Classification) braziltourism Uploaded 28-12-2014 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)_I10
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
0.6231
Per class
Build CPU time
0.5231
Build memory
781339999.8641
F measure
0.7419
Per class
Kappa
0.226
KB relative information score
43.4648
Mean absolute error
0.2812
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
0.7336
Per class
Predictive accuracy
0.7621
Prior entropy
0.7771
Recall
0.7621
Per class
Relative absolute error
0.7968
Root mean prior squared error
0.4196
Root mean squared error
0.4549
Root relative squared error
1.084
SciMark benchmark
939.084