섹션5 모의문제3번

IndexError: too many indices for array: array is 1-dimensional, but 2 were indexed - 이런 오류가 뜨는데 어떤 문제일까요..? 아래는 제가 풀이한 방식입니다.

# 2. 전처리

# 2-1. 불필요한 컬럼 제거

train = train.drop(columns = ['id'])

test_id = test.pop('id')

# 3. 분리

from sklearn.model_selection import train_test_split

X_tr, X_val, y_tr, y_val = train_test_split(train.drop(columns = 'output'), train['output'], test_size = 0.2, random_state = 2022)

# X_tr.shape, X_val.shape, y_tr.shape, y_val.shape

# 4. 학습

from sklearn.ensemble import RandomForestClassifier

model = RandomForestClassifier(random_state = 2022, max_depth = 5, n_estimators = 400)

model.fit(X_tr, y_tr)

pred = model.predict(X_val)

pred_proba = model.predict_proba(X_val)

# 5. 평가

from sklearn.metrics import accuracy_score, roc_auc_score

accuracy_score(y_val, pred)

roc_auc_score(y_val, pred_proba[:, 1])

# 6. 결과

pred_proba = model.predict(test)

pd.DataFrame({'id' : test_id, 'output' : pred_proba[:,1]}).to_csv('00000.csv', index = False)

# pd.read_csv('00000.csv')

또한 제가 다른 방법으로 풀었을 때

이렇게 나오는건 왜이런걸까요..