Run
2300465

Run 2300465

Task 22 (Supervised Classification) mfeat-zernike Uploaded 22-05-2017 by Miguel Cachada
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Flow

weka.MultilayerPerceptron(8)Weka implementation of MultilayerPerceptron
weka.MultilayerPerceptron(8)_L0.3
weka.MultilayerPerceptron(8)_M0.2
weka.MultilayerPerceptron(8)_N500
weka.MultilayerPerceptron(8)_V0
weka.MultilayerPerceptron(8)_S0
weka.MultilayerPerceptron(8)_E20
weka.MultilayerPerceptron(8)_Ha
weka.MultilayerPerceptron(8)_Dtrue

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.

17 Evaluation measures

Area under ROC curve
0.9769
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8151
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8028
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1583.7654
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0635
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8103
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8225
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.8225
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3529
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1536
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.512
Cross-validation details (10-fold Crossvalidation)