Run
65274

Run 65274

Task 3741 (Supervised Classification) fri_c2_250_50 Uploaded 20-11-2014 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
0.7512
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
780.0219
Cross-validation details (10-fold Crossvalidation)
Build memory
713652283.2
Cross-validation details (10-fold Crossvalidation)
F measure
0.6672
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3272
Cross-validation details (10-fold Crossvalidation)
KB relative information score
71.414
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3598
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4954
Cross-validation details (10-fold Crossvalidation)
Number of instances
250
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.667
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.668
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9934
Cross-validation details (10-fold Crossvalidation)
Recall
0.668
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7263
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4977
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4615
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9272
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
949.7836