Run
3842016

Run 3842016

Task 2 (Supervised Classification) anneal Uploaded 03-07-2017 by Miguel Cachada
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Flow

weka.FilteredClassifier_AttributeSelectedClassifier_AdaBoostM1_DecisionStum p(1)Weka implementation of FilteredClassifier
weka.AdaBoostM1_DecisionStump(17)_P100
weka.AdaBoostM1_DecisionStump(17)_S1
weka.AdaBoostM1_DecisionStump(17)_I10
weka.AdaBoostM1_DecisionStump(17)_Wweka.classifiers.trees.DecisionStump
weka.FilteredClassifier_AttributeSelectedClassifier_AdaBoostM1_DecisionStump(1)_Fweka.filters.unsupervised.attribute.Standardize
weka.FilteredClassifier_AttributeSelectedClassifier_AdaBoostM1_DecisionStump(1)_Wweka.classifiers.meta.AttributeSelectedClassifier
weka.AttributeSelectedClassifier_AdaBoostM1_DecisionStump(2)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_AdaBoostM1_DecisionStump(2)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_AdaBoostM1_DecisionStump(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
0.8208
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7624
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4347
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-54.8049
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1494
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1343
Cross-validation details (10-fold Crossvalidation)
Number of instances
898
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.7016
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8363
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2149
Cross-validation details (10-fold Crossvalidation)
Recall
0.8363
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.1126
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2582
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2352
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.911
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1437.0854
UserCPU time millis
50
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
50
Cross-validation details (10-fold Crossvalidation)