DEVELOPMENT... OpenML
Run
22302

Run 22302

Task 13 (Supervised Classification) breast-cancer Uploaded 21-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_REPTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_REPTree(1)_C3
weka.MultiBoostAB_REPTree(1)_I40
weka.MultiBoostAB_REPTree(1)_P100
weka.MultiBoostAB_REPTree(1)_S1
weka.MultiBoostAB_REPTree(1)_Wweka.classifiers.trees.REPTree
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
0.6487
Per class
F measure
0.6869
Per class
Kappa
0.2231
KB relative information score
45.3021
Mean absolute error
0.3358
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
0.6821
Per class
Predictive accuracy
0.7063
Prior entropy
0.8796
Recall
0.7063
Per class
Relative absolute error
0.8028
Root mean prior squared error
0.457
Root mean squared error
0.4766
Root relative squared error
1.0428
SciMark benchmark
941.6697[557.9784220759545997.1306614464737482.7975877024999906.44537908266061763.996579689319]

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