DEVELOPMENT... OpenML
Run
38668

Run 38668

Task 15 (Supervised Classification) breast-w 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)_I40
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
0.9734
Per class
Build CPU time
0.8996
Build memory
78390658.9185
F measure
0.9643
Per class
Kappa
0.9212
KB relative information score
640.6087
Mean absolute error
0.0361
Mean prior absolute error
0.452
Number of instances
699
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9645
Per class
Predictive accuracy
0.9642
Prior entropy
0.9297
Recall
0.9642
Per class
Relative absolute error
0.0798
Root mean prior squared error
0.4753
Root mean squared error
0.1893
Root relative squared error
0.3983
SciMark benchmark
947.8147