Run
17972

Run 17972

Task 2075 (Supervised Classification) abalone Uploaded 09-06-2014 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(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_MultilayerPerceptron(1)_I40
weka.Bagging_MultilayerPerceptron(1)_P100
weka.Bagging_MultilayerPerceptron(1)_S1
weka.Bagging_MultilayerPerceptron(1)_Wweka.classifiers.functions.MultilayerPerceptron
weka.Bagging_MultilayerPerceptron(1)_num-slots1
weka.MultilayerPerceptron(1)_E20
weka.MultilayerPerceptron(1)_Ha
weka.MultilayerPerceptron(1)_L0.3
weka.MultilayerPerceptron(1)_M0.2
weka.MultilayerPerceptron(1)_N500
weka.MultilayerPerceptron(1)_S0
weka.MultilayerPerceptron(1)_V0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.7779
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2613
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1811
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1112.0759
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0552
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0618
Cross-validation details (10-fold Crossvalidation)
Number of instances
4177
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
0.26
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2815
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.6268
Cross-validation details (10-fold Crossvalidation)
Recall
0.2815
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8933
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1757
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1673
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9521
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
935.3717[558.33570187255211015.5230404536866462.02318357867284898.36875100120691742.608053324618]