Project Team
Students
Mis Champa
Compute Science
Penn State Abington
Faculty Mentors
Vinayak Elangovan
Penn State Abington
Department of IST
Project
Project Video
Project Abstract
Model selection in the context of machine learning that can have different meanings. When people have a variety of machine learning models, they become confused about which model would best fit for the given data set., corresponding to different levels of abstraction. It will give a statistical model from the given data of candidate models. Model selection helps users to choose a range of different models that they can use for their program. Model selection will help to analyze different kinds of models and give the best model fit. However, Machine Learning algorithms can predict patterns based on previous experiences or data. These algorithms can be applied to modern technologies such as driverless cars, education, and industries.
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