DEVELOPMENT... OpenML
Run
55335

Run 55335

Task 1740 (Learning Curve) soybean Uploaded 10-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

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

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
0.8034 ± 0.0085
Per class
Build CPU time
0.0025
Build memory
136625075.1
Kappa
0.1865 ± 0.0194
KB relative information score
0.3233 ± 0.0114
Mean absolute error
0.0825 ± 0.001
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
0.2723 ± 0.0182
Prior entropy
3.8358 ± 0.0227
Recall
0.2723 ± 0.0182
Per class
Relative absolute error
0.8587 ± 0.0109
Root mean prior squared error
0.2191 ± 0.0002
Root mean squared error
0.2033 ± 0.0013
Root relative squared error
0.9279 ± 0.0061
SciMark benchmark
1814.8577