Run
55677

Run 55677

Task 1731 (Learning Curve) pendigits 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
0.999 ± 0.0005
Per class
Build CPU time
0.2771
Build memory
3131221542.25
F measure
0.9785 ± 0.0047
Per class
Kappa
0.9761 ± 0.0052
KB relative information score
0.9603 ± 0.0032
Mean absolute error
0.0134 ± 0.0008
Mean prior absolute error
0.18 ± 0
Number of instances
10992
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9786 ± 0.0047
Per class
Predictive accuracy
0.9785 ± 0.0047
Prior entropy
3.3208 ± 0.0002
Recall
0.9785 ± 0.0047
Per class
Relative absolute error
0.0744 ± 0.0046
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.0647 ± 0.004
Root relative squared error
0.2157 ± 0.0133
SciMark benchmark
1525.9265