Run
4190819

Run 4190819

Task 2076 (Supervised Classification) kropt Uploaded 05-07-2017 by Miguel Cachada
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Flow

weka.FilteredClassifier_AttributeSelectedClassifier_AdaBoostM1_LMT(1)Weka implementation of FilteredClassifier
weka.LMT(6)_I-1
weka.LMT(6)_M15
weka.LMT(6)_W0.0
weka.AdaBoostM1_LMT(4)_P100
weka.AdaBoostM1_LMT(4)_S1
weka.AdaBoostM1_LMT(4)_I10
weka.AdaBoostM1_LMT(4)_Wweka.classifiers.trees.LMT
weka.FilteredClassifier_AttributeSelectedClassifier_AdaBoostM1_LMT(1)_Fweka.filters.unsupervised.attribute.Standardize
weka.FilteredClassifier_AttributeSelectedClassifier_AdaBoostM1_LMT(1)_Wweka.classifiers.meta.AttributeSelectedClassifier
weka.AttributeSelectedClassifier_AdaBoostM1_LMT(2)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_AdaBoostM1_LMT(2)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_AdaBoostM1_LMT(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
0.9426 ± 0.0046
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7334 ± 0.0127
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7023 ± 0.014
Cross-validation details (10-fold Crossvalidation)
KB relative information score
20642.1358 ± 31.7617
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0302 ± 0.0012
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0995 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
28056
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.7339 ± 0.0126
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7336 ± 0.0126
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.5053
Cross-validation details (10-fold Crossvalidation)
Recall
0.7336 ± 0.0126
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3034 ± 0.0122
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2231 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1615 ± 0.0036
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7241 ± 0.0163
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1422.9518
UserCPU time millis
7769270
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
3220
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
7766050
Cross-validation details (10-fold Crossvalidation)