Update README.md
Browse files
README.md
CHANGED
|
@@ -14,8 +14,8 @@ This repository contains a Random Forest model trained on wine-quality data for
|
|
| 14 |
## Model Details
|
| 15 |
- **Algorithm**: Random Forest
|
| 16 |
- **Dataset**: Wine-Quality Data
|
| 17 |
-
- **Objective**: Wine quality prediction (Six classes) - (3,4,5,6,7,8) and prediction above 5 is good quality wine
|
| 18 |
-
- **Dataset Size**:
|
| 19 |
- **Target Variable**: Wine Quality
|
| 20 |
- **Data Split**: 80% for training, 20% for validation
|
| 21 |
- **Training Accuracy**: 100%
|
|
|
|
| 14 |
## Model Details
|
| 15 |
- **Algorithm**: Random Forest
|
| 16 |
- **Dataset**: Wine-Quality Data
|
| 17 |
+
- **Objective**: Wine quality prediction (Six classes) - (3,4,5,6,7,8) and prediction above 5 is good quality wine.
|
| 18 |
+
- **Dataset Size**: 320 samples with 11 features.
|
| 19 |
- **Target Variable**: Wine Quality
|
| 20 |
- **Data Split**: 80% for training, 20% for validation
|
| 21 |
- **Training Accuracy**: 100%
|