DEVELOPMENT... OpenML
Run
13385

Run 13385

Task 27 (Supervised Classification) colic 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)_I80
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
0.8476
Per class
F measure
0.8124
Per class
Kappa
0.597
KB relative information score
181.3299
Mean absolute error
0.2414
Mean prior absolute error
0.4662
Number of instances
368
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8122
Per class
Predictive accuracy
0.8125
Prior entropy
0.9509
Recall
0.8125
Per class
Relative absolute error
0.5178
Root mean prior squared error
0.4827
Root mean squared error
0.3795
Root relative squared error
0.7861
SciMark benchmark
949.068[566.86401039670471015.52310425331484.10363182779514913.71210817040291765.1369023070451]