DEVELOPMENT... OpenML
Run
16070

Run 16070

Task 35 (Supervised Classification) dermatology Uploaded 04-06-2014 by Felicia West
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Flow

weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_AdaBoostM1_Decisio nStump(1)Weka implementation of AttributeSelectedClassifier
weka.AdaBoostM1_DecisionStump(1)_I10
weka.AdaBoostM1_DecisionStump(1)_P100
weka.AdaBoostM1_DecisionStump(1)_S1
weka.AdaBoostM1_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_AdaBoostM1_DecisionStump(1)_Eweka.attributeSelection.CfsSubsetEval
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_AdaBoostM1_DecisionStump(1)_Sweka.attributeSelection.BestFirst
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_AdaBoostM1_DecisionStump(1)_Wweka.classifiers.meta.AdaBoostM1
weka.BestFirst(1)_D1
weka.BestFirst(1)_N5
weka.CfsSubsetEval(1)_E1
weka.CfsSubsetEval(1)_P1

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
0.7686
Per class
F measure
0.3497
Per class
Kappa
0.3397
KB relative information score
134.3949
Mean absolute error
0.2033
Mean prior absolute error
0.2664
Number of instances
366
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.2755
Per class
Predictive accuracy
0.5027
Prior entropy
2.4378
Recall
0.5027
Per class
Relative absolute error
0.763
Root mean prior squared error
0.3649
Root mean squared error
0.3191
Root relative squared error
0.8744
SciMark benchmark
933.6028[567.04832706770641010.9942233373424462.02318357867284906.75889678256981721.1892771095258]

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