/predict_breast_cancer

This project predicts if a person has Breast Cancer or not, on the basis of their Gene Expression Data.

Primary LanguageJupyter Notebook

Breast Cancer Prediction using Genomic Data

Here in this project I have implemented machine learning algorithms to predict Breast Cancer in patients using their Gene Expression Data

I have implemented 3 machine learning Models:

  1. Support Vector Machine
  2. Randomn Forest
  3. Decision Tree
Model Accuracy (%)
Randomn Forest 99.07
Decision Tree 97.53
Support Vector Machine 97.22

  • The Gene Expression dataset is attached as upscale.csv

    • There are total 21 Genes in the Dataset
    • The first column represent the patient ID
    • The other 21 columns represent each gene expression data
    • And the last column represent the result i.e. if patient has Breast Cancer then 1 and if he/she does not have Breast Cancer then 0

  • I have plotted the Confusion Matrix for each Model

  • Also I have implemented Eli5 (Explain Like I am 5) inorder to get the feature importance or contribution of each Gene