Run
17187

Run 17187

Task 38 (Supervised Classification) ecoli Uploaded 06-06-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.7525
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5111
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.449
Cross-validation details (10-fold Crossvalidation)
KB relative information score
125.525
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1292
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
0.4228
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6458
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2353
Cross-validation details (10-fold Crossvalidation)
Recall
0.6458
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7066
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3016
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2551
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8458
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
904.0398[557.80003864977771008.0852896014862478.0685277652042906.44537908266061569.7998171553058]