DEVELOPMENT... OpenML
Run
115875

Run 115875

Task 289 (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)_I160
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
0.9794
Per class
Build CPU time
0.007
Build memory
1365481440
F measure
0.9386
Per class
Kappa
0.9078
KB relative information score
43.9719
Mean absolute error
0.0533
Mean prior absolute error
0.4444
Number of instances
49
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9396
Per class
Predictive accuracy
0.9388
Prior entropy
1.585
Recall
0.9388
Per class
Relative absolute error
0.1199
Root mean prior squared error
0.4714
Root mean squared error
0.1804
Root relative squared error
0.3827
SciMark benchmark
934.2858

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