Run
551155

Run 551155

Task 3680 (Supervised Classification) chscase_vine1 Uploaded 09-04-2016 by Martijn Post
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • study_15 study_20 weka weka_3.7.13
Issue #Downvotes for this reason By


Flow

weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_Logistic(3)Weka implementation of AttributeSelectedClassifier
weka.Logistic(6)_R1.0E-8
weka.Logistic(6)_M-1
weka.CfsSubsetEval(5)_P1
weka.CfsSubsetEval(5)_E1
weka.BestFirst(4)_D1
weka.BestFirst(4)_N5
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_Logistic(3)_Eweka.attributeSelection.CfsSubsetEval
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_Logistic(3)_Sweka.attributeSelection.BestFirst
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_Logistic(3)_Wweka.classifiers.functions.Logistic

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
0.8036
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7868
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5706
Cross-validation details (10-fold Crossvalidation)
KB relative information score
19.4898
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3291
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4972
Cross-validation details (10-fold Crossvalidation)
Number of instances
52
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_66, amd64, Windows 10, 10.0]
Precision
0.7905
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7885
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.996
Cross-validation details (10-fold Crossvalidation)
Recall
0.7885
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.662
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4985
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4232
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8489
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1788.6668