Run
2078

Run 2078

Task 2097 (Learning Curve) satimage Uploaded 24-04-2014 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
0.7013 ± 0.0049
Per class
Kappa
0.2698 ± 0.0057
KB relative information score
0.27 ± 0.0028
Mean absolute error
0.2225 ± 0.0007
Mean prior absolute error
0.2701 ± 0
Number of instances
6430
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-431.1.2.el6.x86_64 ]
Predictive accuracy
0.4379 ± 0.0046
Prior entropy
2.4834 ± 0.0009
Recall
0.4379 ± 0.0046
Per class
Relative absolute error
0.8238 ± 0.0027
Root mean prior squared error
0.3675 ± 0
Root mean squared error
0.3336 ± 0.0017
Root relative squared error
0.9077 ± 0.0045
SciMark benchmark
824.0296