DEVELOPMENT... OpenML
Run
21290

Run 21290

Task 13 (Supervised Classification) breast-cancer Uploaded 18-06-2014 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)_I160
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
0.6348
Per class
F measure
0.6841
Per class
Kappa
0.2168
KB relative information score
66.7147
Mean absolute error
0.2985
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
0.7028
Prior entropy
0.8796
Recall
0.7028
Per class
Relative absolute error
0.7136
Root mean prior squared error
0.457
Root mean squared error
0.5376
Root relative squared error
1.1763
SciMark benchmark
941.0399[559.58957837042081005.7176405886515471.3528398414899910.22226140528711758.3172656914378]