DEVELOPMENT... OpenML
Run
47256

Run 47256

Task 1715 (Learning Curve) mfeat-karhunen 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
0.9981 ± 0.0014
Per class
Build CPU time
2.7572
Build memory
564543684.3636
F measure
0.963 ± 0.0193
Per class
Kappa
0.9589 ± 0.0211
KB relative information score
0.7876 ± 0.0146
Mean absolute error
0.0693 ± 0.0029
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9634 ± 0.0186
Per class
Predictive accuracy
0.963 ± 0.019
Prior entropy
3.3219
Recall
0.963 ± 0.019
Per class
Relative absolute error
0.3849 ± 0.0162
Root mean prior squared error
0.3
Root mean squared error
0.1382 ± 0.0063
Root relative squared error
0.4605 ± 0.0212
SciMark benchmark
1655.4655