Run
18434

Run 18434

Task 40 (Supervised Classification) glass Uploaded 10-06-2014 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_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
0.8699
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6963
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5865
Cross-validation details (10-fold Crossvalidation)
KB relative information score
123.063
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.11
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2116
Cross-validation details (10-fold Crossvalidation)
Number of instances
214
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
0.6994
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7009
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2315
Cross-validation details (10-fold Crossvalidation)
Recall
0.7009
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5199
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3244
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2507
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7726
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
930.3852[560.30860489012831014.7208839634673433.13508979941537898.36875100120691745.3925929109241]