Top 3 Predictive Analytics Formulas

The following are the top three predictive analytics formulas: 

1) Linear Regression: Utilized to predict a continuous value. It models the relationship between two variables by fitting a linear equation to observed data.

Formula: 

Example: Predicting sales based on advertising spend.

2) Logistic Regression: Utilized for classification tasks to predict the probability of a binary outcome (0 or 1).

Formula: 

Example: Predicting whether a customer will churn or not.

3) k-Nearest Neighbors (k-NN): A simple, instance-based learning algorithm utilized for both classification and regression.

Formula: No explicit formula; it classifies based on the majority vote of the k-nearest neighbors.

Example: Classifying a new data point based on the labels of its nearest neighbors.

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