Run
61449

Run 61449

Task 1727 (Learning Curve) optdigits 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_BFTree(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.BFTree(2)_Ctrue
weka.BFTree(2)_M2
weka.BFTree(2)_N5
weka.BFTree(2)_PPOSTPRUNED
weka.BFTree(2)_S1
weka.Bagging_BFTree(2)_I10
weka.Bagging_BFTree(2)_P100
weka.Bagging_BFTree(2)_S1
weka.Bagging_BFTree(2)_Wweka.classifiers.trees.BFTree
weka.Bagging_BFTree(2)_num-slots1

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
0.9965 ± 0.0013
Per class
Build CPU time
3.7857
Build memory
1868372380.9143
F measure
0.9518 ± 0.0081
Per class
Kappa
0.9464 ± 0.009
KB relative information score
0.9184 ± 0.0068
Mean absolute error
0.0253 ± 0.0017
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
0.952 ± 0.0079
Per class
Predictive accuracy
0.9518 ± 0.0081
Prior entropy
3.3218 ± 0.0001
Recall
0.9518 ± 0.0081
Per class
Relative absolute error
0.1406 ± 0.0096
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.0943 ± 0.0056
Root relative squared error
0.3143 ± 0.0186
SciMark benchmark
1645.3141