Performing Data Mining Methods on Ovarian Cancer Data

A Class Project in R, November - December 2022


Objective:
● To apply classification analysis to predict whether an ovarian tumor is benign or cancerous.
● To perform cluster analysis to categorize ovarian tumors based on their characteristics.

Outcomes:
● Successfully applied classification analysis, achieving high accuracy with a decision tree model in predicting benign ovarian tumors and ovarian cancer.
● Performed cluster analysis, revealing two distinct types of ovarian tumors in the dataset with low total variance.
● The analysis highlighted the need for more data to improve the robustness of the cluster analysis due to the low total variance observed.

Snipit of Report File.


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