DEVELOPMENT... OpenML
Run
109014

Run 109014

Task 1806 (Supervised Classification) haberman Uploaded 09-12-2014 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)_I80
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
0.6493
Per class
Build CPU time
0.0223
Build memory
746628472.8
F measure
0.7076
Per class
Kappa
0.2126
KB relative information score
146.8903
Mean absolute error
0.336
Mean prior absolute error
0.39
Number of instances
1530
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.701
Per class
Predictive accuracy
0.7301
Prior entropy
0.836
Recall
0.7301
Per class
Relative absolute error
0.8616
Root mean prior squared error
0.4412
Root mean squared error
0.4392
Root relative squared error
0.9956
SciMark benchmark
919.8064