Run
17055

Run 17055

Task 2065 (Supervised Classification) primary-tumor Uploaded 06-06-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_LWL_DecisionStump(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_LWL_DecisionStump(1)_I40
weka.AdaBoostM1_LWL_DecisionStump(1)_P100
weka.AdaBoostM1_LWL_DecisionStump(1)_S1
weka.AdaBoostM1_LWL_DecisionStump(1)_Wweka.classifiers.lazy.LWL
weka.LWL_DecisionStump(1)_Atrue
weka.LWL_DecisionStump(1)_K-1
weka.LWL_DecisionStump(1)_U0
weka.LWL_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

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.

17 Evaluation measures

Area under ROC curve
0.7994
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3247
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2877
Cross-validation details (10-fold Crossvalidation)
KB relative information score
71.6715
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0728
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0812
Cross-validation details (10-fold Crossvalidation)
Number of instances
339
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.3335
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3923
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.7542
Cross-validation details (10-fold Crossvalidation)
Recall
0.3923
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.896
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2011
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.189
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9401
Cross-validation details (10-fold Crossvalidation)