/Supervised-Model-Cup

This notebook tested the performance of the following scikit-learn models: Logistic Regression, Multilayer Perception, Naive Bayes, KNN, and Random Forest Classifier in classifying whether a person has thyroid or not based on the dataset provided. Each model’s performance has been evaluated using the F1 Score. NOTE: This notebook was used for a homework — we were tasked to choose 1 model out of the previously mentioned models and tweak its hyper parameters so we can get the best F1 score.

Primary LanguageJupyter Notebook

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