DEVELOPMENT... OpenML
Run
95095

Run 95095

Task 1806 (Supervised Classification) haberman 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
0.6664
Per class
Build CPU time
0.0037
Build memory
77829304
F measure
0.6986
Per class
Kappa
0.1806
KB relative information score
138.0503
Mean absolute error
0.3428
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
0.6953
Per class
Predictive accuracy
0.7327
Prior entropy
0.836
Recall
0.7327
Per class
Relative absolute error
0.8791
Root mean prior squared error
0.4412
Root mean squared error
0.4292
Root relative squared error
0.9728
SciMark benchmark
945.1122