Run
55348

Run 55348

Task 1727 (Learning Curve) optdigits Uploaded 10-11-2014 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
0.9957 ± 0.0017
Per class
Build CPU time
0.6213
Build memory
936973542.9714
F measure
0.9593 ± 0.0092
Per class
Kappa
0.9547 ± 0.0103
KB relative information score
0.9286 ± 0.007
Mean absolute error
0.0224 ± 0.0016
Mean prior absolute error
0.18 ± 0
Number of instances
5620
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9593 ± 0.0091
Per class
Predictive accuracy
0.9593 ± 0.0093
Prior entropy
3.3218 ± 0.0001
Recall
0.9593 ± 0.0093
Per class
Relative absolute error
0.1247 ± 0.0087
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.0892 ± 0.0056
Root relative squared error
0.2973 ± 0.0187
SciMark benchmark
1814.8577