DEVELOPMENT... OpenML
Run
113823

Run 113823

Task 3501 (Supervised Classification) white-clover 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
0.6573
Per class
Build CPU time
0.0373
Build memory
132732545.2698
F measure
0.5863
Per class
Kappa
0.1875
KB relative information score
16.9552
Mean absolute error
0.1894
Mean prior absolute error
0.2721
Number of instances
63
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6017
Per class
Predictive accuracy
0.619
Prior entropy
1.4097
Recall
0.619
Per class
Relative absolute error
0.6962
Root mean prior squared error
0.3647
Root mean squared error
0.4068
Root relative squared error
1.1155
SciMark benchmark
945.0554