Perform classification on the provided Adult Census Income dataset. The “adult.data” file provides the labeled training data, while “adult.test” file provides the labeled test data. The task is to train and test at least 2 different machine learning models (e.g., Naïve Bayes, Logistic Regression, K-Nearest Neighbors, etc.), and perform comparative analysis (e.g., accuracy, efficiency, simplicity, etc.)
wadooodd/Classification-Using-Machine-Learning
Perform classification on the provided Adult Census Income dataset. The “adult.data” file provides the labeled training data, while “adult.test” file provides the labeled test data. The task is to train and test at least 2 different machine learning models (e.g., Naïve Bayes, Logistic Regression, K-Nearest Neighbors, etc.), and perform comparative analysis (e.g., accuracy, efficiency, simplicity, etc.)
Jupyter Notebook