aldehyde_nanopore_sensing

This repository contains the code and dataset to reproduce the results for the machine learning classification task of aldehyde nanopore sensing. The provided Jupyter Notebook demonstrates the entire process, from data loading to model evaluation, using a dataset called dataset.csv.

Installation

1. Clone the repository:

   git clone https://github.com/allybo/aldehyde_nanopore_sensing.git
   cd aldehyde_nanopore_sensing

2. Install dependencies:

   pip install joblib pandas numpy scikit-learn matplotlib

Usage

1. Launch Jupyter Notebook:

   jupyter notebook

2. Open and run model_training_and_evaluation.ipynb.