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domgallo / CISC489

CISC489 Group Project. Rachel, Adam, Natalie, Dom
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Implement Machine Learning to make a prediction for UV Index #9

Closed rbutler97 closed 6 years ago

rbutler97 commented 6 years ago

Possible methods: Linear Regression, Logistic Regression, Polynomial Regression, Neural Networks (Use SciKit)

rbutler97 commented 6 years ago

http://scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessClassifier.html#sklearn.gaussian_process.GaussianProcessClassifier

rbutler97 commented 6 years ago

Tried linear regression, but because the data forms approximately a bell curve every year, when we ran the algorithm it gave a line with no slope that returned approximately the average UV index for every data point.

nayling commented 6 years ago

Made extensive attempts with Gaussian process classification, which produced inaccurate results and would not work with a data set of over a year, as well as trying logistic regression, neural networks, and isotonic regression, none of which produced accurate results. We used the scikit library for all of these algorithms.