Run
52091

Run 52091

Task 1727 (Learning Curve) optdigits Uploaded 07-11-2014 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_LADTree(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LADTree(2)_I10
weka.Bagging_LADTree(2)_P100
weka.Bagging_LADTree(2)_S1
weka.Bagging_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.Bagging_LADTree(2)_num-slots1
weka.LADTree(2)_B10

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
0.9864 ± 0.002
Per class
Build CPU time
19.5109
Build memory
532621566.8571
F measure
0.8536 ± 0.022
Per class
Kappa
0.8375 ± 0.0241
KB relative information score
0.7643 ± 0.0099
Mean absolute error
0.0697 ± 0.0021
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
0.855 ± 0.0218
Per class
Predictive accuracy
0.8537 ± 0.0217
Prior entropy
3.3218 ± 0.0001
Recall
0.8537 ± 0.0217
Per class
Relative absolute error
0.3871 ± 0.0116
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.158 ± 0.0046
Root relative squared error
0.5266 ± 0.0152
SciMark benchmark
1653.7854