DEVELOPMENT... OpenML
Run
138096

Run 138096

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

weka.AdaBoostM1_REPTree(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_REPTree(2)_I80
weka.AdaBoostM1_REPTree(2)_P100
weka.AdaBoostM1_REPTree(2)_S1
weka.AdaBoostM1_REPTree(2)_Wweka.classifiers.trees.REPTree
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_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
0.6894
Per class
Build CPU time
0.0598
Build memory
469057050.8932
F measure
0.7276
Per class
Kappa
0.2019
KB relative information score
53.9532
Mean absolute error
0.2696
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
0.7202
Per class
Predictive accuracy
0.7379
Prior entropy
0.7771
Recall
0.7379
Per class
Relative absolute error
0.764
Root mean prior squared error
0.4196
Root mean squared error
0.4595
Root relative squared error
1.0949
SciMark benchmark
915.3856

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