DEVELOPMENT... OpenML
Run
38370

Run 38370

Task 1777 (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)_I20
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
0.6423
Per class
Build CPU time
0.0275
Build memory
755429936
F measure
0.6692
Per class
Kappa
0.1835
KB relative information score
273.6187
Mean absolute error
0.3132
Mean prior absolute error
0.4183
Number of instances
1430
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6621
Per class
Predictive accuracy
0.6846
Prior entropy
0.8796
Recall
0.6846
Per class
Relative absolute error
0.7486
Root mean prior squared error
0.457
Root mean squared error
0.5345
Root relative squared error
1.1695
SciMark benchmark
945.6653