Run
2347581

Run 2347581

Task 23 (Supervised Classification) cmc Uploaded 26-05-2017 by Miguel Cachada
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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
0.7227 ± 0.0307
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5421 ± 0.0362
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2994 ± 0.0513
Cross-validation details (10-fold Crossvalidation)
KB relative information score
325.3721 ± 3.3757
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3643 ± 0.0104
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4308 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Number of instances
1473
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.5445 ± 0.034
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5479 ± 0.0334
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5392
Cross-validation details (10-fold Crossvalidation)
Recall
0.5479 ± 0.0334
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8456 ± 0.0243
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4641 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4322 ± 0.0108
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9312 ± 0.0235
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1558.2457
UserCPU time millis
130
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
120
Cross-validation details (10-fold Crossvalidation)