Run
61598

Run 61598

Task 1731 (Learning Curve) pendigits Uploaded 16-11-2014 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_J48(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_J48(2)_I10
weka.Bagging_J48(2)_P100
weka.Bagging_J48(2)_S1
weka.Bagging_J48(2)_Wweka.classifiers.trees.J48
weka.Bagging_J48(2)_num-slots1
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.9991 ± 0.0006
Per class
Build CPU time
0.3895
Build memory
2198256538.7
F measure
0.9793 ± 0.0049
Per class
Kappa
0.9769 ± 0.0055
KB relative information score
0.9696 ± 0.003
Mean absolute error
0.0097 ± 0.0006
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
0.9793 ± 0.0048
Per class
Predictive accuracy
0.9793 ± 0.0049
Prior entropy
3.3208 ± 0.0002
Recall
0.9793 ± 0.0049
Per class
Relative absolute error
0.0538 ± 0.0036
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.06 ± 0.0039
Root relative squared error
0.2002 ± 0.0131
SciMark benchmark
1559.5381