DEVELOPMENT... OpenML
Run
55379

Run 55379

Task 2094 (Learning Curve) adult Uploaded 11-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.Bagging(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging(1)_P100
weka.Bagging(1)_S1
weka.Bagging(1)_num-slots1
weka.Bagging(1)_I10
weka.Bagging(1)_Wweka.classifiers.trees.LADTree

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
0.8934 ± 0.0056
Per class
Build CPU time
63.6791
Build memory
1836974980.88
F measure
0.8355 ± 0.004
Per class
Kappa
0.5291 ± 0.0121
KB relative information score
0.3639 ± 0.0086
Mean absolute error
0.2227 ± 0.0023
Mean prior absolute error
0.3641 ± 0
Number of instances
48842
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8362 ± 0.0042
Per class
Predictive accuracy
0.8444 ± 0.0037
Prior entropy
0.7938 ± 0.0002
Recall
0.8444 ± 0.0037
Per class
Relative absolute error
0.6118 ± 0.0064
Root mean prior squared error
0.4266 ± 0.0001
Root mean squared error
0.3283 ± 0.0032
Root relative squared error
0.7694 ± 0.0075
SciMark benchmark
1606.2579