Run
1352

Run 1352

Task 1757 (Learning Curve) waveform-5000 Uploaded 17-04-2014 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
0.8726 ± 0.007
Per class
F measure
0.6384 ± 0.035
Per class
Kappa
0.5071 ± 0.0324
KB relative information score
0.2073 ± 0.0363
Mean absolute error
0.3852 ± 0.012
Mean prior absolute error
0.4444 ± 0
Number of instances
5000
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Precision
0.7126 ± 0.0121
Per class
Predictive accuracy
0.6706 ± 0.0219
Prior entropy
1.5849 ± 0
Recall
0.6706 ± 0.0219
Per class
Relative absolute error
0.8668 ± 0.0271
Root mean prior squared error
0.4714 ± 0
Root mean squared error
0.4171 ± 0.0101
Root relative squared error
0.8848 ± 0.0214
SciMark benchmark
1154.7049