DEVELOPMENT... OpenML
Run
40572

Run 40572

Task 1893 (Supervised Classification) breast-cancer Uploaded 28-10-2014 by Felicia West
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Flow

weka.MultiBoostAB_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I80
weka.MultiBoostAB_ADTree(2)_Wweka.classifiers.trees.ADTree

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.6515
Per class
Build CPU time
0.127
Build memory
971470613.1189
F measure
0.6918
Per class
Kappa
0.2381
KB relative information score
699.9661
Mean absolute error
0.2938
Mean prior absolute error
0.4183
Number of instances
2860
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6866
Per class
Predictive accuracy
0.7073
Prior entropy
0.8796
Recall
0.7073
Per class
Relative absolute error
0.7024
Root mean prior squared error
0.457
Root mean squared error
0.5185
Root relative squared error
1.1346
SciMark benchmark
945.8425