DEVELOPMENT... OpenML
Run
114390

Run 114390

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)_I20
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
0.7211
Per class
Build CPU time
0.1082
Build memory
1151381664.254
F measure
0.6318
Per class
Kappa
0.283
KB relative information score
20.3718
Mean absolute error
0.1755
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
0.6472
Per class
Predictive accuracy
0.6508
Prior entropy
1.4097
Recall
0.6508
Per class
Relative absolute error
0.6449
Root mean prior squared error
0.3647
Root mean squared error
0.3961
Root relative squared error
1.0861
SciMark benchmark
913.3372