This repository contains a Support Vector Regression (SVR) implementation to evaluate model performance using Mean Squared Error (MSE) and R-squared (R2) metrics on a power consumption dataset.
Before executing the machine learning program, you need to download the dataset in CSV format from the following Google Drive link.
[https://drive.google.com/drive/folders/1Y8kRoJ6z3oc2aaXjaeUQL9xobzp-ql0C?usp=sharing]
After downloading the dataset, you can import it into your Google Colab environment. Once imported, you can proceed to run the SVR program.
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Download the Dataset:
- Access the dataset in CSV format from the provided [https://drive.google.com/drive/folders/1Y8kRoJ6z3oc2aaXjaeUQL9xobzp-ql0C?usp=sharing].
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Import the Dataset in Google Colab:
- Utilize Google Colab to import the downloaded dataset.
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Run the SVR Program:
- After importing the dataset, execute the SVR program to evaluate the model on power consumption data.