DEVELOPMENT... OpenML
Run
52961

Run 52961

Task 1727 (Learning Curve) optdigits Uploaded 07-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.AdaBoostM1_LADTree(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_LADTree(2)_I10
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
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
0.9937 ± 0.0022
Per class
Build CPU time
27.0734
Build memory
159857033.4857
F measure
0.9111 ± 0.0177
Per class
Kappa
0.9011 ± 0.0199
KB relative information score
0.8361 ± 0.0184
Mean absolute error
0.0483 ± 0.0041
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
0.9118 ± 0.0159
Per class
Predictive accuracy
0.911 ± 0.0179
Prior entropy
3.3218 ± 0.0001
Recall
0.911 ± 0.0179
Per class
Relative absolute error
0.2685 ± 0.0226
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.1248 ± 0.0087
Root relative squared error
0.4161 ± 0.0292
SciMark benchmark
1608.8422