Run
2347560

Run 2347560

Task 58 (Supervised Classification) waveform-5000 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)_Ha
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
0.9707 ± 0.0036
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8561 ± 0.0125
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7843 ± 0.0187
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3915.8711 ± 5.1682
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1114 ± 0.0049
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4444 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
5000
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.8562 ± 0.0129
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8562 ± 0.0125
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5849
Cross-validation details (10-fold Crossvalidation)
Recall
0.8562 ± 0.0125
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2506 ± 0.0109
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2601 ± 0.0093
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5517 ± 0.0198
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1558.8729
UserCPU time millis
1890
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
1880
Cross-validation details (10-fold Crossvalidation)