DEVELOPMENT... OpenML
Run
12265

Run 12265

Task 42 (Supervised Classification) haberman Uploaded 22-05-2014 by Felicia West
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Flow

weka.AdaBoostM1_DecisionStump(1)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(1)_I40
weka.AdaBoostM1_DecisionStump(1)_P100
weka.AdaBoostM1_DecisionStump(1)_S1
weka.AdaBoostM1_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.6605
Per class
F measure
0.7513
Per class
Kappa
0.3328
KB relative information score
29.7865
Mean absolute error
0.3405
Mean prior absolute error
0.39
Number of instances
306
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7492
Per class
Predictive accuracy
0.768
Prior entropy
0.836
Recall
0.768
Per class
Relative absolute error
0.8731
Root mean prior squared error
0.4412
Root mean squared error
0.4232
Root relative squared error
0.9592
SciMark benchmark
915.6938[528.5577773344239887.588670941556483.6674820550281911.80521739130441766.8500850997275]

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