DEVELOPMENT... OpenML
Run
47245

Run 47245

Task 1714 (Learning Curve) breast-w Uploaded 05-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.Bagging_RandomForest(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_RandomForest(2)_I10
weka.Bagging_RandomForest(2)_P100
weka.Bagging_RandomForest(2)_S1
weka.Bagging_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.Bagging_RandomForest(2)_num-slots1
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(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.

21 Evaluation measures

Area under ROC curve
0.9907 ± 0.0078
Per class
Build CPU time
0.1858
Build memory
346616476.6
F measure
0.9686 ± 0.025
Per class
Kappa
0.9306 ± 0.0552
KB relative information score
0.869 ± 0.0463
Mean absolute error
0.0648 ± 0.0195
Mean prior absolute error
0.4519 ± 0.0014
Number of instances
699
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9687 ± 0.0246
Per class
Predictive accuracy
0.9685 ± 0.025
Prior entropy
0.9293 ± 0.0043
Recall
0.9685 ± 0.025
Per class
Relative absolute error
0.1434 ± 0.0433
Root mean prior squared error
0.4753 ± 0.0015
Root mean squared error
0.1677 ± 0.0444
Root relative squared error
0.3527 ± 0.0933
SciMark benchmark
1652.2022

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