Run
1874163

Run 1874163

Task 3951 (Supervised Classification) desharnais Uploaded 29-03-2017 by Derek Lagrouw
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_MultilayerPerceptron(4)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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, a
weka.Bagging_MultilayerPerceptron(4)_P100
weka.Bagging_MultilayerPerceptron(4)_S1
weka.Bagging_MultilayerPerceptron(4)_num-slots1
weka.Bagging_MultilayerPerceptron(4)_I10
weka.Bagging_MultilayerPerceptron(4)_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.

17 Evaluation measures

Area under ROC curve
0.7719
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6277
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.335
Cross-validation details (10-fold Crossvalidation)
KB relative information score
27.5483
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.276
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3804
Cross-validation details (10-fold Crossvalidation)
Number of instances
81
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.63
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6296
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3765
Cross-validation details (10-fold Crossvalidation)
Recall
0.6296
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7255
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4348
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4007
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9216
Cross-validation details (10-fold Crossvalidation)