Cataract-Detection-Model

o This Project aims to make an Accurate Model for Detection of Cataract and compares the Accuracy, Precision, Recall, F1 score with other models of Machine Learning.

o Developed and trained with CNN Sequential model and Digital Image Processing Techniques with the help of python.

Methodology

Model Comparision

-------Model--------| Accuracy | Precision | Recall - | F1 Score

--CNN Sequential--| 0.933333 | 0.9000000 | 0.964286 | 0.931034

--------SVM---------| 0.929293 | 0.9423080 | 0.924528 | 0.933333

Logistic Regression-| 0.888889 | 0.8620690 | 0.943396 | 0.900901