Run
19808

Run 19808

Task 2 (Supervised Classification) anneal Uploaded 17-06-2014 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)_I80
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
0.9969
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9885
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9721
Cross-validation details (10-fold Crossvalidation)
KB relative information score
838.8952
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0078
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1343
Cross-validation details (10-fold Crossvalidation)
Number of instances
898
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
0.989
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9889
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2149
Cross-validation details (10-fold Crossvalidation)
Recall
0.9889
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0584
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2582
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0549
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2128
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
928.3968[564.4791872005297958.6840881307085452.86453002032704907.0727062654921758.8835103978397]