added model cardmetadata

README.md

@@ -1,10 +1,20 @@
-# Model Card for {{ model_id | default("Model ID", true) }}
+---
+library_name: Scikit-Learn
+datasets:
+- Iris Dataset
+metrics:
+- Accuracy
+- F1 Score
+- Confusion matrix 
+---
+
+# Model Card for Logistic regression model
 
 A multiclass classfication task using a Logistic regression model trained on the [Iris dataset](https://scikit-learn.org/dev/modules/generated/sklearn.datasets.load_iris.html), developed in Scikit-Learn version 1.0 and loaded in both version 1.0 and 1.1. 
 
 # Model Details
 
-## Model Description
+## Model Descriptionß
 - **Developed by:** Adebayo Chibundum
 - **Model type:** Logistic Regression
 - **License:** None
@@ -18,5 +28,5 @@ A multiclass classfication task using a Logistic regression model trained on the
 
 ### Metrics and Results
 - **Accuracy:** 1.0
-- **Macro F1 Score:** 1.0
+- **Macro-averaged F1 Score:** 1.0
 - **Confusion Matrix**