Test of Significance in Machine Learning

The procedure which enables us to decide whether to accept or reject hypothesis is said to the test of significance. Here we test whether the differences between the sample values and the population values (or the values given by two samples) are so large that they signify evidence against the hypothesis or their differences are so small as to account for fluctuations of sampling.