DEVELOPMENT... OpenML
Run
35814

Run 35814

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)_I10
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
0.6671
Per class
Build CPU time
0.0183
Build memory
1214369110.1343
F measure
0.6871
Per class
Kappa
0.2208
KB relative information score
723.1097
Mean absolute error
0.2913
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
0.6843
Per class
Predictive accuracy
0.7108
Prior entropy
0.8796
Recall
0.7108
Per class
Relative absolute error
0.6964
Root mean prior squared error
0.457
Root mean squared error
0.5082
Root relative squared error
1.1119
SciMark benchmark
897.921