Machine learning can be liable to mistake, based on the input. With too little a sample, the method could generate a wonderfully logical algorithm that is completely wrong or deceptive. To avoid wasting budget or displeasing customers, companies must act about the responses only when there is higher self-confidence inside the output.[forty nine] Tr