Run
20329

Run 20329

Task 13 (Supervised Classification) breast-cancer Uploaded 18-06-2014 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)_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
0.6595
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7086
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2742
Cross-validation details (10-fold Crossvalidation)
KB relative information score
84.2756
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2737
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4183
Cross-validation details (10-fold Crossvalidation)
Number of instances
286
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
0.7091
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7308
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8796
Cross-validation details (10-fold Crossvalidation)
Recall
0.7308
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6543
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.457
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5074
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1102
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
917.7143[534.87908122313331009.6699252256896471.14603042180164810.58751585752651762.2889234168845]