Supervised learners can further help predict numeric values such as laboratory values, income, and test scores. T
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but the target values deliver a supervisory role that guides the learner in whatever they need to learn.
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The learning algorithm will try to identify and model the association between the target feature and other features. Predictive models don’t require one to forecast future events.
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A predictive model is the best to use if you have tasks that alter the prediction of one value by applying another value in the data set.
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Which type a Data Scientist should select depends on the task at hand and what he or she needs to achieve.
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In brief, supervised learners create a predictive model while unsupervised learners build a descriptive model.
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Machine Learning Algorithms
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is vital to pay attention to what these features represent because both the number and type of features in the data set
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If the following categories have a specific order, then the feature is referred to as ordinal.
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represented by a set of classifiers, the feature is referred to as nominal or categorical.