Run
65065

Run 65065

Task 30 (Supervised Classification) page-blocks Uploaded 19-11-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_MultilayerPerceptron(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_MultilayerPerceptron(2)_I160
weka.Bagging_MultilayerPerceptron(2)_P100
weka.Bagging_MultilayerPerceptron(2)_S1
weka.Bagging_MultilayerPerceptron(2)_Wweka.classifiers.functions.MultilayerPerceptron
weka.Bagging_MultilayerPerceptron(2)_num-slots1
weka.MultilayerPerceptron(2)_E20
weka.MultilayerPerceptron(2)_Ha
weka.MultilayerPerceptron(2)_L0.3
weka.MultilayerPerceptron(2)_M0.2
weka.MultilayerPerceptron(2)_N500
weka.MultilayerPerceptron(2)_S0
weka.MultilayerPerceptron(2)_V0

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.

21 Evaluation measures

Area under ROC curve
0.9867
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
2300.2312
Cross-validation details (10-fold Crossvalidation)
Build memory
740114685.8498
Cross-validation details (10-fold Crossvalidation)
F measure
0.9657
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8169
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3984.0345
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0208
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0762
Cross-validation details (10-fold Crossvalidation)
Number of instances
5473
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9661
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9677
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6391
Cross-validation details (10-fold Crossvalidation)
Recall
0.9677
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2737
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1949
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1011
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5187
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
942.4935