Run
163

Run 163

Task 73 (Learning Curve) mfeat-fourier Uploaded 07-04-2014 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
0.7164 ± 0.0081
Per class
Kappa
0.1076 ± 0.0044
KB relative information score
0.2389 ± 0.0037
Mean absolute error
0.1654 ± 0.0004
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ]
Predictive accuracy
0.1969 ± 0.0039
Prior entropy
3.3219
Recall
0.1969 ± 0.0039
Per class
Relative absolute error
0.919 ± 0.0024
Root mean prior squared error
0.3
Root mean squared error
0.2877 ± 0.0009
Root relative squared error
0.9591 ± 0.0029
SciMark benchmark
1944.0929