Run
5694

Run 5694

Task 2098 (Learning Curve) abalone Uploaded 04-05-2014 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.

17 Evaluation measures

Area under ROC curve
0.6296 ± 0.0081
Per class
Kappa
0.0769 ± 0.0147
KB relative information score
0.1393 ± 0.0036
Mean absolute error
0.0595 ± 0.0001
Mean prior absolute error
0.0618 ± 0
Number of instances
4177
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Predictive accuracy
0.2092 ± 0.0119
Prior entropy
3.6031 ± 0.0188
Recall
0.2092 ± 0.0119
Per class
Relative absolute error
0.9634 ± 0.0021
Root mean prior squared error
0.1757 ± 0
Root mean squared error
0.1726 ± 0.0004
Root relative squared error
0.9821 ± 0.0025
SciMark benchmark
843.3702