DEVELOPMENT... OpenML
Run
54124

Run 54124

Task 1740 (Learning Curve) soybean Uploaded 08-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.Bagging_OneR(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_OneR(2)_I10
weka.Bagging_OneR(2)_P100
weka.Bagging_OneR(2)_S1
weka.Bagging_OneR(2)_Wweka.classifiers.rules.OneR
weka.Bagging_OneR(2)_num-slots1
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.

19 Evaluation measures

Area under ROC curve
0.7381 ± 0.0224
Per class
Build CPU time
0.0014
Build memory
640791263.9
Kappa
0.3313 ± 0.0359
KB relative information score
0.394 ± 0.0253
Mean absolute error
0.0626 ± 0.0033
Mean prior absolute error
0.0961 ± 0.0001
Number of instances
683
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.407 ± 0.0322
Prior entropy
3.8358 ± 0.0227
Recall
0.407 ± 0.0322
Per class
Relative absolute error
0.6518 ± 0.0345
Root mean prior squared error
0.2191 ± 0.0002
Root mean squared error
0.2115 ± 0.0043
Root relative squared error
0.9652 ± 0.0197
SciMark benchmark
1615.5755