DEVELOPMENT... OpenML
Run
134701

Run 134701

Task 258 (Supervised Classification) optdigits Uploaded 28-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(2)_I20
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_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
0.9154
Per class
Build CPU time
0.07
Build memory
1286153152
F measure
0.8484
Per class
Kappa
0.831
KB relative information score
1559.1689
Mean absolute error
0.0304
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
0.8501
Per class
Predictive accuracy
0.8479
Prior entropy
3.3218
Recall
0.8479
Per class
Relative absolute error
0.169
Root mean prior squared error
0.3
Root mean squared error
0.1744
Root relative squared error
0.5814
SciMark benchmark
939.084