DEVELOPMENT... OpenML
Run
139466

Run 139466

Task 258 (Supervised Classification) optdigits Uploaded 31-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_REPTree(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_REPTree(2)_I10
weka.AdaBoostM1_REPTree(2)_P100
weka.AdaBoostM1_REPTree(2)_S1
weka.AdaBoostM1_REPTree(2)_Wweka.classifiers.trees.REPTree
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_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
0.9986
Per class
Build CPU time
1.934
Build memory
48328072
F measure
0.9629
Per class
Kappa
0.9586
KB relative information score
1785.0078
Mean absolute error
0.0086
Mean prior absolute error
0.18
Number of instances
1854
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9633
Per class
Predictive accuracy
0.9628
Prior entropy
3.3218
Recall
0.9628
Per class
Relative absolute error
0.0479
Root mean prior squared error
0.3
Root mean squared error
0.077
Root relative squared error
0.2566
SciMark benchmark
939.1359