DEVELOPMENT... OpenML
Run
23059

Run 23059

Task 13 (Supervised Classification) breast-cancer Uploaded 23-06-2014 by Felicia West
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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
0.6717
Per class
F measure
0.6949
Per class
Kappa
0.2465
KB relative information score
73.061
Mean absolute error
0.2902
Mean prior absolute error
0.4183
Number of instances
286
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6899
Per class
Predictive accuracy
0.7098
Prior entropy
0.8796
Recall
0.7098
Per class
Relative absolute error
0.6937
Root mean prior squared error
0.457
Root mean squared error
0.511
Root relative squared error
1.1181
SciMark benchmark
943.7592[563.56724519425261012.5880246437401478.0684770170223907.38658326225751757.1857345400422]