Run
3883229

Run 3883229

Task 14 (Supervised Classification) mfeat-fourier 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
0.9063
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8324
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8122
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1643.0216
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0346
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_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.8346
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.831
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.831
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1923
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1833
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6112
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1428.9756
UserCPU time millis
1190
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
590
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
600
Cross-validation details (10-fold Crossvalidation)