OpenML
20489

Run 20489

Task 28 (Supervised Classification) optdigits Uploaded 18-06-2014 by Joaquin Vanschoren
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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
0.6781
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.0882
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1083
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1085.8473
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1688
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
5620
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.0578
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.1975
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.1975
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9378
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2905
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9684
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
948.8684[567.04828311619561014.4538012229739483.23216931738307912.75766683510371766.8499488170112]