Breast-Cancer-Diagnostic

This is a classification model which uses logistic regression or linear regression to determine whether the tumor in a womans breast is a BENIGN or MALIGNANT tumor. The datasets that i used is the UCI Breast Cancer Wisconsin (Diagnostic) Data Set

How the input is taken and processed to ouput

Input

The inputs are a bunch of features and measurements of the tumor like the measurement of the Nuclei which includes measuring

• Radius
• Texture
• Perimeter
• Area

and more.

Ouput

The ouput is the classification. The dataset came as M for MALIGNANT and B for BENIGN. In the datasets, i exchange M for 1 and B for 0 and i divided the dataset into two that is (X_data.csv) and (Y_data.csv)

Every other thing about the model is found in this notebook or this other Colab notebook that is i commented on every line of code.