DEVELOPMENT... OpenML
Run
44418

Run 44418

Task 1893 (Supervised Classification) breast-cancer Uploaded 29-10-2014 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)_I160
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
0.6476
Per class
Build CPU time
0.328
Build memory
715659332.4755
F measure
0.6985
Per class
Kappa
0.2586
KB relative information score
714.587
Mean absolute error
0.2919
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
0.6934
Per class
Predictive accuracy
0.7101
Prior entropy
0.8796
Recall
0.7101
Per class
Relative absolute error
0.6977
Root mean prior squared error
0.457
Root mean squared error
0.5232
Root relative squared error
1.1447
SciMark benchmark
946.2416