Implementing K Nearest Neighbours Algorithm on Wisconsin Breast Cancer Dataset(WBCD) without using built in function for KNN algorithm. The data is split into 3 : train, validation and test data. The performance metrics are calculated for different K values.
forked from ShreenidhiN/KNN-Algorithm-from-Scratch
-
Notifications
You must be signed in to change notification settings - Fork 0
Implementing K Nearest Neighbours Algorithm on Wisconsin Breast Cancer Dataset(WBCD) without using built in function for KNN algorithm. The data is split into 3 : train, validation and test data. The performance metrics are calculated for different K values.
riyadadlani02/KNN-Algorithm-from-Scratch
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Implementing K Nearest Neighbours Algorithm on Wisconsin Breast Cancer Dataset(WBCD) without using built in function for KNN algorithm. The data is split into 3 : train, validation and test data. The performance metrics are calculated for different K values.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published
Languages
- Jupyter Notebook 100.0%