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Machine Learning Crash Course Courses Practica Guides Glossary All Terms. A logistic regression model that returns 09995.
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You can use the returned probability as is for example the probability that the user will click on this ad is 000023 or convert the returned probability to a binary value for example this email is spam.
. The commonly used regularization techniques are. Logistic regression returns a probability. Regularization is a technique used to reduce the errors by fitting the function appropriately on the given training set and avoid overfitting.
Overfitting is a phenomenon that occurs when a Machine Learning model is constraint to training set and not able to perform well on unseen data.
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