DEVELOPMENT... OpenML
Run
16412

Run 16412

Task 28 (Supervised Classification) optdigits Uploaded 04-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_J48(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.J48(1)_C0.25
weka.J48(1)_M2
weka.MultiBoostAB_J48(1)_C3
weka.MultiBoostAB_J48(1)_I40
weka.MultiBoostAB_J48(1)_P100
weka.MultiBoostAB_J48(1)_S1
weka.MultiBoostAB_J48(1)_Wweka.classifiers.trees.J48

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9939
Per class
F measure
0.9829
Per class
Kappa
0.981
KB relative information score
5522.6562
Mean absolute error
0.0034
Mean prior absolute error
0.18
Number of instances
5620
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9829
Per class
Predictive accuracy
0.9829
Prior entropy
3.3218
Recall
0.9829
Per class
Relative absolute error
0.0188
Root mean prior squared error
0.3
Root mean squared error
0.0572
Root relative squared error
0.1908
SciMark benchmark
947.1335[567.23271965926381014.1867954103211480.8517328185388910.53839766977511762.8577294742872]