Run
3888853

Run 3888853

Task 53 (Supervised Classification) vehicle Uploaded 04-07-2017 by Miguel Cachada
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Flow

weka.FilteredClassifier_AttributeSelectedClassifier_AdaBoostM1_IBk(1)Weka implementation of FilteredClassifier
weka.IBk(11)_K1
weka.IBk(11)_W0
weka.IBk(11)_Atrue
weka.AdaBoostM1_IBk(6)_P100
weka.AdaBoostM1_IBk(6)_S1
weka.AdaBoostM1_IBk(6)_I10
weka.AdaBoostM1_IBk(6)_Wweka.classifiers.lazy.IBk
weka.FilteredClassifier_AttributeSelectedClassifier_AdaBoostM1_IBk(1)_Fweka.filters.unsupervised.attribute.Standardize
weka.FilteredClassifier_AttributeSelectedClassifier_AdaBoostM1_IBk(1)_Wweka.classifiers.meta.AttributeSelectedClassifier
weka.AttributeSelectedClassifier_AdaBoostM1_IBk(2)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_AdaBoostM1_IBk(2)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_AdaBoostM1_IBk(2)_Wweka.classifiers.meta.AdaBoostM1

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
0.7562
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6407
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5222
Cross-validation details (10-fold Crossvalidation)
KB relative information score
479.2445
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1801
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3748
Cross-validation details (10-fold Crossvalidation)
Number of instances
846
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.6401
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6418
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.9991
Cross-validation details (10-fold Crossvalidation)
Recall
0.6418
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4805
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4329
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4221
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9749
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1416.8513
UserCPU time millis
120
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
40
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
80
Cross-validation details (10-fold Crossvalidation)