Run
2347585

Run 2347585

Task 29 (Supervised Classification) credit-approval Uploaded 26-05-2017 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_MultilayerPerceptron(2)Weka implementation of AttributeSelectedClassifier
weka.MultilayerPerceptron(8)_L0.3
weka.MultilayerPerceptron(8)_M0.2
weka.MultilayerPerceptron(8)_N100
weka.MultilayerPerceptron(8)_V0
weka.MultilayerPerceptron(8)_S0
weka.MultilayerPerceptron(8)_E20
weka.MultilayerPerceptron(8)_Ho
weka.AttributeSelectedClassifier_MultilayerPerceptron(2)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_MultilayerPerceptron(2)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_MultilayerPerceptron(2)_Wweka.classifiers.functions.MultilayerPerceptron

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
0.9091 ± 0.0432
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8428 ± 0.0448
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6808 ± 0.0901
Cross-validation details (10-fold Crossvalidation)
KB relative information score
426.3347 ± 4.8869
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1977 ± 0.0332
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.8438 ± 0.0435
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8435 ± 0.0442
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8435 ± 0.0442
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4002 ± 0.0671
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.337 ± 0.05
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6782 ± 0.1002
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1464.3886
UserCPU time millis
110
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
110
Cross-validation details (10-fold Crossvalidation)