DEVELOPMENT... OpenML
Run
22148

Run 22148

Task 28 (Supervised Classification) optdigits Uploaded 21-06-2014 by Felicia West
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Flow

weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_HoeffdingTree(1)Weka implementation of AttributeSelectedClassifier
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_HoeffdingTree(1)_Eweka.attributeSelection.CfsSubsetEval
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_HoeffdingTree(1)_Sweka.attributeSelection.BestFirst
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_HoeffdingTree(1)_Wweka.classifiers.trees.HoeffdingTree
weka.BestFirst(1)_D1
weka.BestFirst(1)_N5
weka.CfsSubsetEval(1)_E1
weka.CfsSubsetEval(1)_P1
weka.HoeffdingTree(1)_E1.0E-7
weka.HoeffdingTree(1)_G200.0
weka.HoeffdingTree(1)_H0.05
weka.HoeffdingTree(1)_L2
weka.HoeffdingTree(1)_M0.01
weka.HoeffdingTree(1)_N0.0
weka.HoeffdingTree(1)_S1

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
0.9782
Per class
F measure
0.9132
Per class
Kappa
0.9033
KB relative information score
5119.5278
Mean absolute error
0.018
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
0.9151
Per class
Predictive accuracy
0.913
Prior entropy
3.3218
Recall
0.913
Per class
Relative absolute error
0.0999
Root mean prior squared error
0.3
Root mean squared error
0.1276
Root relative squared error
0.4252
SciMark benchmark
945.21[563.20332758402671011.7904963405887478.28140966761225912.75766683510371760.017229859821]

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