Run
788

Run 788

Task 83 (Learning Curve) mushroom Uploaded 08-04-2014 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.

19 Evaluation measures

Area under ROC curve
0.9955 ± 0.002
Per class
F measure
0.9626 ± 0.008
Per class
Kappa
0.9252 ± 0.016
KB relative information score
0.8921 ± 0.0113
Mean absolute error
0.0589 ± 0.0054
Mean prior absolute error
0.4994 ± 0
Number of instances
81240
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Precision
0.9629 ± 0.0078
Per class
Predictive accuracy
0.9626 ± 0.008
Prior entropy
0.9991 ± 0
Recall
0.9626 ± 0.008
Per class
Relative absolute error
0.118 ± 0.0108
Root mean prior squared error
0.4997 ± 0
Root mean squared error
0.161 ± 0.0125
Root relative squared error
0.3221 ± 0.025
SciMark benchmark
880.3394