-
Notifications
You must be signed in to change notification settings - Fork 0
This project focuses on building a predictive model to identify the types of seeds based on 11 different attributes. The dataset was pre-processed and split into training and testing sets. The Support Vector Machine (SVM) algorithm was used along with hyperparameter tuning to improve the model's performance.
Jonathan-Monir/Pumpkin_Seeds_Dataset
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
About
This project focuses on building a predictive model to identify the types of seeds based on 11 different attributes. The dataset was pre-processed and split into training and testing sets. The Support Vector Machine (SVM) algorithm was used along with hyperparameter tuning to improve the model's performance.
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published