Daily power consumption is related to the weather (rain, sunshine, temperature, etc). Prediction of the power consumption based on the weather is relevant for energy suppliers. This project is about creating a Machine Learning Model to predict the power consumption according to given data.
In the given Dataset we have information about temperature, humidity, etc. for the five citys:
- Bedrock
- Gotham City
- New New York
- Paperopoli
- Springfield
and one column that shows the power consumption.
| Name | Training Set Score | Test Set Score | Hidden Score |
|---|---|---|---|
| Linear Regression | 3422.96 | 3403.61 | ? |
| Polynomial Linear Regession | 3152.17 | 3162.33 | 3320.30 |
| K Nearest Neighbors Regrssor | 954.26 | 1881.62 | 2503.17 |
| Random Forest Regressor | 679.13 | 2314.29 | 3477.68 |