Run
24628

Run 24628

Task 35 (Supervised Classification) dermatology Uploaded 14-07-2014 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)_I80
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
0.9888
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9727
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9658
Cross-validation details (10-fold Crossvalidation)
KB relative information score
352.8644
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0094
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
0.9736
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9727
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.4378
Cross-validation details (10-fold Crossvalidation)
Recall
0.9727
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0352
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3649
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0954
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2616
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
594.207[345.80503341662984901.2885863823998242.48912160685595523.6596040803772957.7925636876275]