Run
55651

Run 55651

Task 2094 (Learning Curve) adult Uploaded 12-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.Bagging_REPTree(3)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(3)_I10
weka.Bagging_REPTree(3)_P100
weka.Bagging_REPTree(3)_S1
weka.Bagging_REPTree(3)_Wweka.classifiers.trees.REPTree
weka.Bagging_REPTree(3)_num-slots1
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_V0.001

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
0.8968 ± 0.0052
Per class
Build CPU time
0.7757
Build memory
5060624731.08
F measure
0.8397 ± 0.0059
Per class
Kappa
0.5485 ± 0.0167
KB relative information score
0.4146 ± 0.0132
Mean absolute error
0.2017 ± 0.0035
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
0.838 ± 0.0061
Per class
Predictive accuracy
0.8445 ± 0.0057
Prior entropy
0.7938 ± 0.0002
Recall
0.8445 ± 0.0057
Per class
Relative absolute error
0.5539 ± 0.0097
Root mean prior squared error
0.4266 ± 0.0001
Root mean squared error
0.3277 ± 0.0048
Root relative squared error
0.768 ± 0.0112
SciMark benchmark
1525.9265