Project Output - a trained ML model with 94.78% accuracy in predicting recurrence or thyroid cancer in patients. Several types of classification models [logistic, K.N.N, Decision Tree - with bagging] were evaluated, trained and scored to get the best model that exceeds model “recall” threshold of 78% and accuracy of 90%

GitHub Repo Path:

https://github.com/YNWA-Algo/

Project repo name- T-Cancer-Reoccurrence-Predictor-Model

Next
Next

Canada Crime Analytics: Data / Decision Science Data + Policy. Hypothesis Testing