Hypothesis Testing
A statistical method used to determine if there is enough evidence in a sample of data to infer that a certain condition holds true for a population.
Think of It Like This
Like a courtroom trial where you assume innocence until the evidence strongly proves guilt beyond a reasonable doubt.
In machine learning, hypothesis testing is used to compare model performances, evaluate feature significance, or perform A/B testing on algorithms. It relies on calculating a p-value to decide whether to reject the null hypothesis. This rigorous framework prevents researchers from making claims based on random noise in the data.