Update README.md
Browse files
README.md
CHANGED
|
@@ -32,7 +32,16 @@ This is a **K-Nearest Neighbors (KNN) Regressor** model trained to predict house
|
|
| 32 |
- Build Quality (1 to 10)
|
| 33 |
- **Target Variable**: House Price
|
| 34 |
|
|
|
|
| 35 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 36 |
|
| 37 |
### Using Gradio Interface
|
| 38 |
|
|
|
|
| 32 |
- Build Quality (1 to 10)
|
| 33 |
- **Target Variable**: House Price
|
| 34 |
|
| 35 |
+
## Training Data
|
| 36 |
|
| 37 |
+
The model was trained on a dataset containing house prices along with the following features:
|
| 38 |
+
|
| 39 |
+
- **Number of Rooms**: The number of rooms in the house.
|
| 40 |
+
- **Distance to Center**: The distance from the house to the city center in kilometers.
|
| 41 |
+
- **Country**: The country where the house is located.
|
| 42 |
+
- **Build Quality**: A subjective measure of the build quality of the house, ranging from 1 to 10.
|
| 43 |
+
|
| 44 |
+
The dataset used for training is `Prices house.csv`.
|
| 45 |
|
| 46 |
### Using Gradio Interface
|
| 47 |
|