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Lung Cancer Prediction Flask App | ||
Overview | ||
This repository contains a Flask web application for predicting lung cancer using a machine learning model. The model is built using the Random Forest classifier algorithm and is trained on a dataset containing various features relevant to lung cancer diagnosis. | ||
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Features | ||
Lung Cancer Prediction: The app predicts the likelihood of lung cancer based on input features such as age, smoking history, and other medical parameters. | ||
User-friendly Interface: A simple and intuitive interface allows users to input data and get predictions easily. | ||
Machine Learning: Utilizes the Random Forest algorithm for accurate and reliable predictions. | ||
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Dataset | ||
The model is trained on a dataset containing features such as age, gender, smoking history, and other medical factors. The dataset is preprocessed and used to train a Random Forest classifier, which forms the basis of the prediction model. | ||
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Model | ||
Algorithm: Random Forest Classifier | ||
Accuracy: [Include accuracy if known] |