Run
6073

Run 6073

Task 86 (Learning Curve) colic Uploaded 09-05-2014 by Jan van Rijn
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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)_I10
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
0.8675 ± 0.0689
Per class
F measure
0.8242 ± 0.0653
Per class
Kappa
0.6218 ± 0.1408
KB relative information score
0.4734 ± 0.0934
Mean absolute error
0.2556 ± 0.0392
Mean prior absolute error
0.4662 ± 0.0029
Number of instances
3680
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.8239 ± 0.0639
Per class
Predictive accuracy
0.8247 ± 0.0627
Prior entropy
0.9503 ± 0.0087
Recall
0.8247 ± 0.0627
Per class
Relative absolute error
0.5483 ± 0.0834
Root mean prior squared error
0.4827 ± 0.0031
Root mean squared error
0.3655 ± 0.0522
Root relative squared error
0.7572 ± 0.1077
SciMark benchmark
881.2501