Run
576602

Run 576602

Task 22 (Supervised Classification) mfeat-zernike Uploaded 01-06-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AttributeSelectedClassifier_Bagging_NaiveBayes(1)Weka implementation of AttributeSelectedClassifier
weka.AttributeSelectedClassifier_Bagging_NaiveBayes(1)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_Bagging_NaiveBayes(1)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_Bagging_NaiveBayes(1)_Wweka.classifiers.meta.Bagging
weka.Bagging_NaiveBayes(10)_P100
weka.Bagging_NaiveBayes(10)_S1
weka.Bagging_NaiveBayes(10)_num-slots1
weka.Bagging_NaiveBayes(10)_I10
weka.Bagging_NaiveBayes(10)_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
0.9627
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7362
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7083
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1552.1291
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.053
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.7361
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7375
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.7375
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2947
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1916
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6385
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1679.8464
UserCPU time millis
1470
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
1260
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
210
Cross-validation details (10-fold Crossvalidation)