Group G: Carson Honkala, Hannah Striebel, Foster Krause, Kevin Hong, Ben Sinko
CMSE 202 section 004
Spring 2021
The code for our project can be found in the CMSE202_GroupG_Final.ipynb jupyter notebook in this repository. To run the models, simply sequentially run the cells in the notebook.
In order to tune our hyperparameters for some of the models, GridSearchCV was implemented; however, it took many hours to run. This code is included in the notebook in markdown cells.
Each group member contributed to the final presentation. In addition, each group member chose a Machine Learning model on which to train the dataset, evaluate its performance, and write up how it works.
Carson Honkala - MLP Classifier
Hannah Striebel - Decision Tree
Foster Krause - Perceptron
Kevin Hong - Stochastic Gradient Descent
Ben Sinko - Ordinary Least Squares