Run
2345815

Run 2345815

Task 28 (Supervised Classification) optdigits Uploaded 25-05-2017 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_J48(2)Weka implementation of AttributeSelectedClassifier
weka.J48(38)_C0.5
weka.J48(38)_M10
weka.AttributeSelectedClassifier_J48(2)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_J48(2)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_J48(2)_Wweka.classifiers.trees.J48

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
0.9692 ± 0.0045
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8811 ± 0.0105
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8681 ± 0.0117
Cross-validation details (10-fold Crossvalidation)
KB relative information score
4873.0752 ± 5.3282
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0313 ± 0.002
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
5620
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.8811 ± 0.0107
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8813 ± 0.0105
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.8813 ± 0.0105
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1739 ± 0.0111
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1382 ± 0.0057
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4607 ± 0.019
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1509.5832
UserCPU time millis
470
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
460
Cross-validation details (10-fold Crossvalidation)