DEVELOPMENT... OpenML
Run
16019

Run 16019

Task 13 (Supervised Classification) breast-cancer Uploaded 04-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_RandomTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_RandomTree(1)_C3
weka.MultiBoostAB_RandomTree(1)_I80
weka.MultiBoostAB_RandomTree(1)_P100
weka.MultiBoostAB_RandomTree(1)_S1
weka.MultiBoostAB_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

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
0.6164
Per class
F measure
0.6748
Per class
Kappa
0.1923
KB relative information score
64.9554
Mean absolute error
0.3004
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
0.6689
Per class
Predictive accuracy
0.6958
Prior entropy
0.8796
Recall
0.6958
Per class
Relative absolute error
0.7181
Root mean prior squared error
0.457
Root mean squared error
0.5408
Root relative squared error
1.1833
SciMark benchmark
924.7264[518.81042413364481001.0156133673476474.686957266523895.91247233537911733.2063769163399]