Breast-Cancer-Predictor
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A Flask based web application to predict breast cancer.
Several methods show that ML techniques can show high accuracy levels ranging rom 90%- 97%. Since we have used RFR in the main branch, I'll be creating a SVM to...
## Description add some more badges to the top of readme.md file, since the badges will be colorful and more attractive at the top of README.md file than the text...
A new user who will come to the site will also generate data. The prediction will tell that there is any breast cancer or not and after knowing the actual...
Manually entering precise data takes a lot of time which can be avoided by adding a feature to upload data from a file(preferably CSV).
XGBoost is an algorithm that has recently been dominating applied machine learning and Kaggle competitions for structured or tabular data, so may be in case of breast cancer prediction it...
Update the README Appropriately with good looking changes and It should contain good description with newly developed Application. Don't change any existing README just remove the old application images with...
Update the README Appropriately with good looking changes and It should contain good description with newly developed Application. Don't change any existing README just remove the old application images with...
Some grammatical mistakes are there. E.g.  Random Forest Classifier, [which] gives ...
Instead of training model every time, we can store the trained model once. It will save computational time too, and we can work on more than one model
A feature to select from a given list can save time while entering the data.