DEVELOPMENT... OpenML
Run
95656

Run 95656

Task 1777 (Supervised Classification) breast-cancer Uploaded 08-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_DecisionStump(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_DecisionStump(2)_I10
weka.AdaBoostM1_DecisionStump(2)_P100
weka.AdaBoostM1_DecisionStump(2)_S1
weka.AdaBoostM1_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.

21 Evaluation measures

Area under ROC curve
0.6658
Per class
Build CPU time
0.0033
Build memory
48284900
F measure
0.685
Per class
Kappa
0.2202
KB relative information score
155.198
Mean absolute error
0.364
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
0.6794
Per class
Predictive accuracy
0.7021
Prior entropy
0.8796
Recall
0.7021
Per class
Relative absolute error
0.87
Root mean prior squared error
0.457
Root mean squared error
0.4501
Root relative squared error
0.9849
SciMark benchmark
930.1524