Run
2345716

Run 2345716

Task 23 (Supervised Classification) cmc 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)_C0.25
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
0.7111 ± 0.0319
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5436 ± 0.0434
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2913 ± 0.0671
Cross-validation details (10-fold Crossvalidation)
KB relative information score
342.452 ± 4.4276
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3596 ± 0.011
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4308 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Number of instances
1473
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.5458 ± 0.0439
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5451 ± 0.041
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5392
Cross-validation details (10-fold Crossvalidation)
Recall
0.5451 ± 0.041
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8347 ± 0.0259
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4641 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4337 ± 0.013
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9344 ± 0.0283
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1443.5295
UserCPU time millis
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10-fold Crossvalidation)