A simple machine learning project built with scikit-learn. This repository contains a Jupyter notebook demonstrating how to train, evaluate, and interpret two basic classification model.
- Goal: To build and evaluate a basic classification model using scikit-learn.
- Model: Using a supervised learning algorithm (e.g. logistic regression, decision tree ) to classify the target variable.
- Evaluation: The notebook includes model evaluation metrics (accuracy).
https://github.com/YBIFoundation/Dataset/raw/main/Cancer.csv