I have created this project as part of the 24Hr AI Challenge.
In this running society now a days Breast Cancer is a common diseases for woman.
So we have be aware with this things so we have checked up our body so that's so expensive now a day.
I implement a Automated Breast Cancer Prediction System Using Machine Leaning.
To give" radius_mean texture_mean perimeter_mean area_mean smoothness_mean compactness_mean concavity_mean concave points_mean symmetry_mean fractal_dimension_mean fractal_dimension_se radius_worst texture_worst perimeter_worst area_worst smoothness_worst compactness_worst concavity_worst concave points_worst symmetry_worst " this all attributes value we can predict the woman is suffering form Breast Cancer or not.
I check this system using SVM , Decision tree , Random forest models and conformed that Random forest model provide us higher % of accuracy than SVM and Decision tree.
The Source With the demo is available in the link below : -