Run
3417898

Run 3417898

Task 12 (Supervised Classification) mfeat-factors Uploaded 01-07-2017 by Miguel Cachada
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.FilteredClassifier_MultilayerPerceptron(2)Weka implementation of FilteredClassifier
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.MultilayerPerceptron(8)_Dtrue
weka.FilteredClassifier_MultilayerPerceptron(2)_Fweka.filters.unsupervised.attribute.Standardize
weka.FilteredClassifier_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
0.9968
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9705
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9672
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1888.6364
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0188
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)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.9707
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9705
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.9705
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1044
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0737
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2456
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1457.7671
UserCPU time millis
117240
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
340
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
116900
Cross-validation details (10-fold Crossvalidation)