DEVELOPMENT... OpenML
Run
130927

Run 130927

Task 3820 (Supervised Classification) braziltourism Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_OneR(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_OneR(2)_I160
weka.AdaBoostM1_OneR(2)_P100
weka.AdaBoostM1_OneR(2)_S1
weka.AdaBoostM1_OneR(2)_Wweka.classifiers.rules.OneR
weka.OneR(3)_B6

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
0.6409
Per class
Build CPU time
0.1159
Build memory
776705955.3981
F measure
0.7042
Per class
Kappa
0.1319
KB relative information score
19.3461
Mean absolute error
0.2968
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
0.6952
Per class
Predictive accuracy
0.716
Prior entropy
0.7771
Recall
0.716
Per class
Relative absolute error
0.8411
Root mean prior squared error
0.4196
Root mean squared error
0.4642
Root relative squared error
1.1062
SciMark benchmark
927.3354