Python
Machine Learning and Flask
2018
ID: 1CP0660
An Evaluation of Machine Learning Classifiers and Ensembles for Early Stage Prediction of Lung Cancer
Keywords:
Lung
Cancer
Prediction,
Machine
Learning,
Random
Forest,
SVM,
Healthcare
Analytics,
Flask
Project Synopsis & Overview
This project predicts lung cancer risk using patient health details such as smoking, alcohol consumption, and existing diseases. It evaluates multiple machine learning classifiers, including Support Vector Machine, K-Nearest Neighbors, Decision Tree, Random Forest, Logistic Regression, and Naive Bayes, using a Kaggle dataset. Model performance is compared using accuracy, precision, recall, and F-measure, with Flask providing a web-based prediction interface.
Complete Technical Specifications
| Project ID | 1CP0660 (DB ID: 660) |
| Project Title | An Evaluation of Machine Learning Classifiers and Ensembles for Early Stage Prediction of Lung Cancer |
| Domain Division | Python |
| Sub-Domain / Tech | Machine Learning and Flask |
| IEEE Year | 2018 |
| Package Price | ₹6500 |
| Created Date | Oct 31, 2026 |
Project Price
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