DEVELOPMENT... OpenML
Run
129914

Run 129914

Task 271 (Supervised Classification) soybean Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_OneR(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_OneR(2)_I80
weka.AdaBoostM1_OneR(2)_P100
weka.AdaBoostM1_OneR(2)_S1
weka.AdaBoostM1_OneR(2)_Wweka.classifiers.rules.OneR
weka.OneR(3)_B6

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
0.004
Build memory
355029096
F measure
0.2948
Per class
Kappa
0.3148
KB relative information score
69.1543
Mean absolute error
0.0641
Mean prior absolute error
0.0958
Number of instances
225
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.283
Per class
Predictive accuracy
0.3911
Prior entropy
3.8572
Recall
0.3911
Per class
Relative absolute error
0.6688
Root mean prior squared error
0.2185
Root mean squared error
0.2532
Root relative squared error
1.1589
SciMark benchmark
916.8903