DEVELOPMENT... OpenML
Run
120281

Run 120281

Task 258 (Supervised Classification) optdigits Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LMT(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_LMT(2)_I20
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.9934
Per class
Build CPU time
3453.28
Build memory
600137496
F measure
0.9811
Per class
Kappa
0.979
KB relative information score
1818.0841
Mean absolute error
0.0038
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
0.9812
Per class
Predictive accuracy
0.9811
Prior entropy
3.3218
Recall
0.9811
Per class
Relative absolute error
0.0211
Root mean prior squared error
0.3
Root mean squared error
0.0601
Root relative squared error
0.2003
SciMark benchmark
942.3919