Run
24613

Run 24613

Task 35 (Supervised Classification) dermatology Uploaded 14-07-2014 by Joaquin Vanschoren
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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
0.9991
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9701
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9624
Cross-validation details (10-fold Crossvalidation)
KB relative information score
351.6701
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0144
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2664
Cross-validation details (10-fold Crossvalidation)
Number of instances
366
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
0.9703
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9699
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.4378
Cross-validation details (10-fold Crossvalidation)
Recall
0.9699
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.054
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3649
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0777
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2129
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
593.7408[344.0316727698322902.1324283259146237.76392227144788524.288960.4877695934426]