statistical significance at the 95% confidence level
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I have two learning algorithm LA1 and LA2. I ran these two learning algorithms on 5 datasets and got 10 numbers (5 for LA1 and 5 for LA2), each shows the average error rate on 10-fold cross-validation.
Someone asked me that I should do the statistical significance for the 95% confidence level. I do not know what it is. Could you please let me know if there is a good text\source to read about it. Also, I would like to know how should I do this test using Matlab.
Can one explain it to me with one example? Let say, for example, the average error of 10fold cross-validation on the 5-datasets using LA1 are: [4.3; 5.6; 30.7; 8.4; 6.4] and for LA2 are: [4.9; 5.8; 30; 8; 7.4]
Ilya on 15 Aug 2016
The reference is
T. Dietterich. Approximate statistical tests for comparing supervised classification learning algorithms. Neural Computation, 10(7):1895–1923, 1998.
The implementation can be found in the testckfold function in the Statistics and Machine Learning Toolbox.