Predictive Modeling
Predictive model is a function that map feature x to predict output target y. The most common predictive models are either classification problems or regression problem. For classifications, the target variable y is either binary or categorical. There are many performance metrics associated with classification problems, such as, true positive rate, false positive rate, positive predictive values, F1 score, area under the ROC curve, and many, many more.
Predictive model is a function that map feature x to predict output target y. The most common predictive models are either classification problems or regression problem. For classifications, the target variable y is either binary or categorical. There are many performance metrics associated with classification problems, such as, true positive rate, false positive rate, positive predictive values, F1 score, area under the ROC curve, and many, many more.