Run
6060360

Run 6060360

Task 45 (Supervised Classification) splice Uploaded 03-08-2017 by Miguel Cachada
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AttributeSelectedClassifier_Vote_SMO(1)Weka implementation of AttributeSelectedClassifier
weka.Vote_SMO(1)_RMIN
weka.Vote_SMO(1)_S1
weka.Vote_SMO(1)_Bweka.classifiers.functions.SMO -C 0.9452973688663715 -L 0.001 -P 1.0E-12 -N 2 -M -V -1 -W 1 -K "weka.classifiers.functions.supportVector.Puk -O 0.7946368844650981 -S 6.604389834878461 -C 250007" -calibrator "weka.classifiers.functions.Logistic -R 1.0E-8 -M -1 -num-decimal-places 4"
weka.AttributeSelectedClassifier_Vote_SMO(1)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_Vote_SMO(1)_Sweka.attributeSelection.BestFirst -D 0 -N 3
weka.AttributeSelectedClassifier_Vote_SMO(1)_Wweka.classifiers.meta.Vote

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.9942
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9631
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9401
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2972.6858
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0335
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4101
Cross-validation details (10-fold Crossvalidation)
Number of instances
3190
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.9633
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.963
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.4804
Cross-validation details (10-fold Crossvalidation)
Recall
0.963
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0818
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4528
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1357
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2997
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1076.091
UserCPU time millis
9360
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
2460
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
6900
Cross-validation details (10-fold Crossvalidation)