Run
15958

Run 15958

Task 35 (Supervised Classification) dermatology Uploaded 04-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_LWL_DecisionStump(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LWL_DecisionStump(1)_Atrue
weka.LWL_DecisionStump(1)_K-1
weka.LWL_DecisionStump(1)_U0
weka.LWL_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump
weka.MultiBoostAB_LWL_DecisionStump(1)_C3
weka.MultiBoostAB_LWL_DecisionStump(1)_I20
weka.MultiBoostAB_LWL_DecisionStump(1)_P100
weka.MultiBoostAB_LWL_DecisionStump(1)_S1
weka.MultiBoostAB_LWL_DecisionStump(1)_Wweka.classifiers.lazy.LWL

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
0.9954
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9588
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9486
Cross-validation details (10-fold Crossvalidation)
KB relative information score
346.9474
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0147
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
0.9596
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.959
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.4378
Cross-validation details (10-fold Crossvalidation)
Recall
0.959
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.055
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3649
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.112
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3069
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
948.1141[573.19771601695391015.2555353338006483.2321174670136913.39368876640651755.4913676401159]