Run
55613

Run 55613

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_RandomTree(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_RandomTree(2)_I10
weka.Bagging_RandomTree(2)_P100
weka.Bagging_RandomTree(2)_S1
weka.Bagging_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.Bagging_RandomTree(2)_num-slots1
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_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
0.9992 ± 0.0006
Per class
Build CPU time
0.1326
Build memory
5752651657.85
F measure
0.9871 ± 0.0037
Per class
Kappa
0.9856 ± 0.0041
KB relative information score
0.9689 ± 0.0033
Mean absolute error
0.011 ± 0.0009
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
0.9871 ± 0.0037
Per class
Predictive accuracy
0.9871 ± 0.0037
Prior entropy
3.3208 ± 0.0002
Recall
0.9871 ± 0.0037
Per class
Relative absolute error
0.0609 ± 0.0052
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.0567 ± 0.0039
Root relative squared error
0.1891 ± 0.0129
SciMark benchmark
1525.9265