DEVELOPMENT... OpenML
Run
36648

Run 36648

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)_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
0.6497
Per class
Build CPU time
0.0236
Build memory
950357799.2
F measure
0.6742
Per class
Kappa
0.1945
KB relative information score
285.8935
Mean absolute error
0.3109
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
0.6676
Per class
Predictive accuracy
0.6909
Prior entropy
0.8796
Recall
0.6909
Per class
Relative absolute error
0.7432
Root mean prior squared error
0.457
Root mean squared error
0.5309
Root relative squared error
1.1617
SciMark benchmark
920.6195