DEVELOPMENT... OpenML
Run
47386

Run 47386

Task 1727 (Learning Curve) optdigits Uploaded 05-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.Bagging_RandomForest(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_RandomForest(2)_I10
weka.Bagging_RandomForest(2)_P100
weka.Bagging_RandomForest(2)_S1
weka.Bagging_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.Bagging_RandomForest(2)_num-slots1
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(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
0.9997 ± 0.0002
Per class
Build CPU time
4.1178
Build memory
1360101264.4571
F measure
0.9831 ± 0.0061
Per class
Kappa
0.9812 ± 0.0068
KB relative information score
0.9006 ± 0.0054
Mean absolute error
0.0356 ± 0.0015
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
0.9831 ± 0.0061
Per class
Predictive accuracy
0.9831 ± 0.0061
Prior entropy
3.3218 ± 0.0001
Recall
0.9831 ± 0.0061
Per class
Relative absolute error
0.1977 ± 0.0082
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.0896 ± 0.0037
Root relative squared error
0.2986 ± 0.0123
SciMark benchmark
1652.2022

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