lr = LogisticRegression()

knn = KNeighborsClassifier(n_neighbors=3)

classifiers = [lr, knn]

for cls in classifiers:

cls.fit(X, y_actual)

y_pred = cls.predict(X)

acc = accuracy_score(y_actual, y_pred)

probs = cls.predict_proba(X)['No','Yes']

auc = ROC_AUC_SCORE(y_actual, probs)

print(f'Acc is {acc} AUC is {auc}')

cm = confusion_matrix(y_actual, y_pred)

disp = ConfusionMatrixDisplay(confusion_matrix=cm, display_labels=['No','Yes'])

disp.plot()

It says something is wrong with the seventh line

----> 7 cls.fit(X, y_actual) could not convert string to float: 'No' 

Any help would be aprrecatied on fixing this