This is the repo to keep track of tools & progress of my Spring 2020 independent study on data mining of health data.
Will not be posting anything involving the actual data that I am using for study as it is not public. I will also update my progress on this README.
commands used to activate env: pyenv activate jupyterdev-3.8.2 I tested the LOF algo with the example from scikit: https://scikit-learn.org/stable/modules/generated/sklearn.neighbors.LocalOutlierFactor.html
I imported iris and wine datasets from Scikit Learn I downloaded and uploaded the forest fires dataset from UCI ML Repo. I am currently struggling to extract the data matrix from the forest fires data set and my other data set (that I must keep private) that I need to actually run LOF.
I followed Dr. Strnadova-Neeley's example on using the LOF on data from excel. We ran it setting both neighbors to 5 & 10. Then I researched and compared One Class SVM to LOF. Will be moving on to a report for the final project