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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 =
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
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