DEVELOPMENT... OpenML
Run
123841

Run 123841

Task 13 (Supervised Classification) breast-cancer Uploaded 21-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LWL_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_LWL_DecisionStump(2)_I20
weka.AdaBoostM1_LWL_DecisionStump(2)_P100
weka.AdaBoostM1_LWL_DecisionStump(2)_S1
weka.AdaBoostM1_LWL_DecisionStump(2)_Wweka.classifiers.lazy.LWL
weka.LWL_DecisionStump(2)_Atrue
weka.LWL_DecisionStump(2)_K-1
weka.LWL_DecisionStump(2)_U0
weka.LWL_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
0.6635
Per class
Build CPU time
2.1346
Build memory
87704668.4476
F measure
0.6791
Per class
Kappa
0.2098
KB relative information score
59.7849
Mean absolute error
0.3097
Mean prior absolute error
0.4183
Number of instances
286
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6728
Per class
Predictive accuracy
0.6923
Prior entropy
0.8796
Recall
0.6923
Per class
Relative absolute error
0.7405
Root mean prior squared error
0.457
Root mean squared error
0.4909
Root relative squared error
1.0741
SciMark benchmark
927.3354