Run
2347493

Run 2347493

Task 2 (Supervised Classification) anneal 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.MultilayerPerceptron(8)_Dtrue
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
0.8477 ± 0.0783
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7743 ± 0.0212
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4571 ± 0.0528
Cross-validation details (10-fold Crossvalidation)
KB relative information score
291.2334 ± 3.2346
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0981 ± 0.005
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1343 ± 0.0012
Cross-validation details (10-fold Crossvalidation)
Number of instances
898
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.7747 ± 0.0544
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8396 ± 0.0126
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2149
Cross-validation details (10-fold Crossvalidation)
Recall
0.8396 ± 0.0126
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7306 ± 0.034
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2582 ± 0.0024
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2081 ± 0.0068
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8059 ± 0.0255
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1522.2672
UserCPU time millis
440
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
440
Cross-validation details (10-fold Crossvalidation)