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naive bias is a supervised learning algorithm mainly used for classification problems it is the algorithm of choice for building real world applications with fast machine learning models that can make quick predictions and that respond to users requests instantaneously it works well with natural language processing or nlp problems such as spam detection sentiment analysis and question answering itamp;#39;s called naive because it makes the assumption that all features are independent of each other for example if the fruit is identified on the basis of color shape and taste each feature individually contributes to identifying the kind of fruit without depending on each other it is called bias because it depends on the principle of biased theorem this theorem is used to determine the probability of a hypothesis or outcome with prior knowledge it was formulated sometime during the 1740s by thomas bias an english statistician philosopher and presbyterian minister the formula for biased th
