DEVELOPMENT... OpenML
Run
10288

Run 10288

Task 13 (Supervised Classification) breast-cancer Uploaded 22-05-2014 by Felicia West
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Flow

weka.Bagging_REPTree(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(1)_I30
weka.Bagging_REPTree(1)_P100
weka.Bagging_REPTree(1)_S1
weka.Bagging_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.Bagging_REPTree(1)_num-slots1
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

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
0.6723
Per class
F measure
0.6665
Per class
Kappa
0.1665
KB relative information score
26.4386
Mean absolute error
0.3702
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
0.6788
Per class
Predictive accuracy
0.7133
Prior entropy
0.8796
Recall
0.7133
Per class
Relative absolute error
0.8851
Root mean prior squared error
0.457
Root mean squared error
0.4414
Root relative squared error
0.9657
SciMark benchmark
918.0161[559.2307353210181875.490699549413484.10363182779514911.80521739130441759.4502550697425]