DEVELOPMENT... OpenML
Run
162377

Run 162377

Task 15 (Supervised Classification) breast-w Uploaded 16-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I20
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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.

22 Evaluation measures

Area under ROC curve
0.9862
Per class
F measure
0.9556
Per class
Kappa
0.9017
KB relative information score
624.5274
Mean absolute error
0.0464
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
0.9556
Per class
Predictive accuracy
0.9557
Prior entropy
0.9297
Recall
0.9557
Per class
Relative absolute error
0.1027
Root mean prior squared error
0.4753
Root mean squared error
0.2042
Root relative squared error
0.4296
SciMark benchmark
939.7623
UserCPU time millis
30
UserCPU time millis training
30