DEVELOPMENT... OpenML
Run
114890

Run 114890

Task 2124 (Supervised Classification) braziltourism Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_JRip(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_JRip(2)_I40
weka.AdaBoostM1_JRip(2)_P100
weka.AdaBoostM1_JRip(2)_S1
weka.AdaBoostM1_JRip(2)_Wweka.classifiers.rules.JRip
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1

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
0.6458
Per class
Build CPU time
0.165
Build memory
491800528
F measure
0.6759
Per class
Kappa
0.0788
KB relative information score
3.8876
Mean absolute error
0.0963
Mean prior absolute error
0.1103
Number of instances
135
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6564
Per class
Predictive accuracy
0.7185
Prior entropy
1.1781
Recall
0.7185
Per class
Relative absolute error
0.873
Root mean prior squared error
0.2325
Root mean squared error
0.2554
Root relative squared error
1.0985
SciMark benchmark
902.712