Run
557622

Run 557622

Task 3684 (Supervised Classification) delta_elevators Uploaded 15-04-2016 by Martijn Post
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AttributeSelectedClassifier_InfoGainAttributeEval_Ranker_NaiveBayes(3)Weka implementation of AttributeSelectedClassifier
weka.Ranker(3)_T-1.7976931348623157E308
weka.Ranker(3)_N-1
weka.AttributeSelectedClassifier_InfoGainAttributeEval_Ranker_NaiveBayes(3)_Sweka.attributeSelection.Ranker
weka.AttributeSelectedClassifier_InfoGainAttributeEval_Ranker_NaiveBayes(3)_Wweka.classifiers.bayes.NaiveBayes

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
0.9347
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8747
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7495
Cross-validation details (10-fold Crossvalidation)
KB relative information score
6316.7752
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1789
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
9517
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_66, amd64, Windows 10, 10.0]
Precision
0.8754
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8748
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.8748
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3578
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3089
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6179
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1744.8652
UserCPU time millis
93.75
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
31.25
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
62.5
Cross-validation details (10-fold Crossvalidation)