Implementing a k-nearest-neighbor (KNN) classifier. The file Cities.zip contains a dataset of weather, climate and pollution measurements from five Chinese cities. The target variable is called "PM_HIGH" and represents the event that the pollution level, measured as a concentration of particles called PM2.5, is higher than 100 ug/m^3. Applying the classifier to the Chinese city pollution dataset, by predicting the binary target variable PM_HIGH
-
Notifications
You must be signed in to change notification settings - Fork 0
Implementing a k-nearest-neighbor (KNN) classifier. The file Cities.zip contains a dataset of weather, climate and pollution measurements from five Chinese cities. The target variable is called "PM_HIGH" and represents the event that the pollution level, measured as a concentration of particles called PM2.5, is higher than 100 ug/m^3. Applying t…
sivajeet/KNN-Chinese-Cities
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Implementing a k-nearest-neighbor (KNN) classifier. The file Cities.zip contains a dataset of weather, climate and pollution measurements from five Chinese cities. The target variable is called "PM_HIGH" and represents the event that the pollution level, measured as a concentration of particles called PM2.5, is higher than 100 ug/m^3. Applying t…
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published