Run
22169

Run 22169

Task 27 (Supervised Classification) colic Uploaded 21-06-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_MultilayerPerceptron(1)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_MultilayerPerceptron(1)_I20
weka.AdaBoostM1_MultilayerPerceptron(1)_P100
weka.AdaBoostM1_MultilayerPerceptron(1)_S1
weka.AdaBoostM1_MultilayerPerceptron(1)_Wweka.classifiers.functions.MultilayerPerceptron
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
0.8188
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8103
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5943
Cross-validation details (10-fold Crossvalidation)
KB relative information score
208.4421
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1973
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4662
Cross-validation details (10-fold Crossvalidation)
Number of instances
368
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
0.8111
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8098
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9509
Cross-validation details (10-fold Crossvalidation)
Recall
0.8098
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4233
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4827
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4347
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9007
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
939.4105[554.78390915119041003.3610871184861475.52779433268046906.75889678256981756.6205822745662]