Run
16708

Run 16708

Task 38 (Supervised Classification) ecoli Uploaded 04-06-2014 by Joaquin Vanschoren
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Flow

weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_LogitBoost_Decisio nStump(1)Weka implementation of AttributeSelectedClassifier
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_LogitBoost_DecisionStump(1)_Eweka.attributeSelection.CfsSubsetEval
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_LogitBoost_DecisionStump(1)_Sweka.attributeSelection.BestFirst
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_LogitBoost_DecisionStump(1)_Wweka.classifiers.meta.LogitBoost
weka.BestFirst(1)_D1
weka.BestFirst(1)_N5
weka.CfsSubsetEval(1)_E1
weka.CfsSubsetEval(1)_P1
weka.LogitBoost_DecisionStump(1)_F0
weka.LogitBoost_DecisionStump(1)_H1.0
weka.LogitBoost_DecisionStump(1)_I10
weka.LogitBoost_DecisionStump(1)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(1)_P100
weka.LogitBoost_DecisionStump(1)_R1
weka.LogitBoost_DecisionStump(1)_S1
weka.LogitBoost_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

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
0.9626
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8214
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7607
Cross-validation details (10-fold Crossvalidation)
KB relative information score
243.403
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.054
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1828
Cross-validation details (10-fold Crossvalidation)
Number of instances
336
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
0.8184
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8274
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2353
Cross-validation details (10-fold Crossvalidation)
Recall
0.8274
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2954
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3016
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1765
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.585
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
933.4894[557.26540226468411005.1929850806725478.92144908848445895.60640895196171730.4605539495203]