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Logistic Regression.
Logistic Regression Table Of Contents: What Is Logistic Regression? Types Of Logistic Regression. Why do we use Logistic regression rather than Linear Regression? Logistic Function. How Logistic Regression Maps Linear Regression Output? Cost Function In Logistic Regression. Likelihood Function For Logistic Regression. Gradient Descent Optimization. Assumptions Of Logistic Regression. (1) What Is Logistic Regression? Logistic Regression is a supervised machine learning algorithm mainly used for classification tasks. Where the goal is to predict the probability that an instance of belonging to a given class. It is commonly used when the dependent variable is categorical and takes on two possible outcomes, often referred
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What Is a Biased Estimator In Linear Regression?
What Is a Biased Estimator In Linear Regression? In linear regression, estimator biasness refers to the systematic deviation of the estimated coefficients from their true population values. A biased estimator consistently produces estimates that, on average, differ from the true values in a predictable manner. In the context of linear regression, the biases of an estimator can occur for different reasons: Omitted Variable Bias: If relevant variables are excluded from the regression model, the estimated coefficients may be biased. Omitted variable bias arises when the omitted variables are correlated with both the independent variables included in the model and the
