check logistic regression accuracy

scripts/logistic.py

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+import pandas as pd
+from sklearn.model_selection import train_test_split
+from sklearn.linear_model import LogisticRegression
+from sklearn.preprocessing import LabelEncoder
+from sklearn.metrics import accuracy_score, classification_report
+
+data = pd.read_excel('/Users/apple/Downloads/21092023-July_Sept.xlsx', sheet_name="op")
+data = data.dropna()
+print(data)
+
+label_encoder = LabelEncoder()
+categorical_cols = ['Gender', 'Caste', 'Category', 'Marital Status', 'Blood Group']
+for col in categorical_cols:
+    data[col] = label_encoder.fit_transform(data[col])
+
+X = data[['Age', 'Gender', 'Caste', 'Category', 'Marital Status']]
+y = data['Test Result']
+
+X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
+
+model = LogisticRegression()
+model.fit(X_train, y_train)
+
+y_pred = model.predict(X_test)
+
+accuracy = accuracy_score(y_test, y_pred)
+classification_report_result = classification_report(y_test, y_pred)
+
+print(f"Accuracy: {accuracy}")
+print("Classification Report:")
+print(classification_report_result)