Update README.md
Browse files
README.md
CHANGED
|
@@ -22,4 +22,36 @@ tags:
|
|
| 22 |
- csv-model
|
| 23 |
- customer-segmentation
|
| 24 |
- data-science
|
| 25 |
-
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 22 |
- csv-model
|
| 23 |
- customer-segmentation
|
| 24 |
- data-science
|
| 25 |
+
---
|
| 26 |
+
# K-means Model
|
| 27 |
+
|
| 28 |
+
This model was trained using K-Means as part of the AI AutoML Platform.
|
| 29 |
+
|
| 30 |
+
## Features
|
| 31 |
+
- Automatic preprocessing
|
| 32 |
+
- Missing value handling
|
| 33 |
+
- Label encoding
|
| 34 |
+
- Feature scaling
|
| 35 |
+
- Hyperparameter tuning
|
| 36 |
+
- Accuracy optimization
|
| 37 |
+
|
| 38 |
+
## Model Type
|
| 39 |
+
K-means
|
| 40 |
+
|
| 41 |
+
## Library
|
| 42 |
+
scikit-learn
|
| 43 |
+
|
| 44 |
+
## Use Cases
|
| 45 |
+
- Customer churn prediction
|
| 46 |
+
- Medical diagnosis
|
| 47 |
+
- Binary classification
|
| 48 |
+
- Multi-class classification
|
| 49 |
+
|
| 50 |
+
## Metrics
|
| 51 |
+
- Accuracy: XX%
|
| 52 |
+
- Precision: XX%
|
| 53 |
+
- Recall: XX%
|
| 54 |
+
- F1 Score: XX%
|
| 55 |
+
|
| 56 |
+
## Developer
|
| 57 |
+
Created by Asma Abid
|