DEVELOPMENT... OpenML
Run
113737

Run 113737

Task 1823 (Supervised Classification) iris 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)_I10
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
0.9673
Per class
Build CPU time
0.0056
Build memory
902194499.2
F measure
0.9416
Per class
Kappa
0.912
KB relative information score
689.8236
Mean absolute error
0.0397
Mean prior absolute error
0.4444
Number of instances
750
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.942
Per class
Predictive accuracy
0.9413
Prior entropy
1.585
Recall
0.9413
Per class
Relative absolute error
0.0893
Root mean prior squared error
0.4714
Root mean squared error
0.1903
Root relative squared error
0.4037
SciMark benchmark
935.6292