Section 4. 이직 여부 예측

1. 이 문제에서

    

   train과 test 합쳐서 원핫인코딩

combined = pd.concat([train, test])

combined_dummies = pd.get_dummies(combined)

n_train = len(train)

train = combined_dummies[:n_train]

test = combined_dummies[n_train:]

한 이유가

city 컬럼에서 트레인 유니크 개수>테스트 유니크 개수라서 사용했다고 이해했는데,, 맞을까요?

2. 제가 코드 한거는

print(train.shape, test.shape)

# print(train.isnull().sum())

# print(test.isnull().sum())

print(train.info())

print(test.info())

print(train.describe(include="O"))

print(test.describe(include="O"))

a=set(train['city'])

b=set(test['city'])

print(a-b)

print(b-a)

target=train.pop('target')

df=pd.concat([train, test])

df=pd.get_dummies(df)

train=train.iloc[:len(train)]

test=test.iloc[len(train):]

from sklearn.model_selection import train_test_split

X_tr, X_val, y_tr, y_val = train_test_split(target, train, test_size=0.2, random_state=0)

print(X_tr.shape, X_val.shape, y_tr.shape, y_val.shape)

from sklearn.ensemble import RandomForestClassifier

rf = RandomForestClassifier(random_state=0)

rf.fit(X_tr, y_tr)

pred = rf.predict_proba(X_val)

이렇게 하니까

~~~~~~

(12260,) (3066,) (12260, 13) (3066, 13)

---------------------------------------------------------------------------

ValueError Traceback (most recent call last)

/tmp/ipython-input-1337250417.py in <cell line: 0>()

24 from sklearn.ensemble import RandomForestClassifier

25 rf = RandomForestClassifier(random_state=0)

---> 26 rf.fit(X_tr, y_tr)

27 pred = rf.predict_proba(X_val)

4 frames

/usr/local/lib/python3.12/dist-packages/sklearn/utils/validation.py in check_array(array, accept_sparse, accept_large_sparse, dtype, order, copy, force_writeable, force_all_finite, ensure_all_finite, ensure_non_negative, ensure_2d, allow_nd, ensure_min_samples, ensure_min_features, estimator, input_name)

1091 "if it contains a single sample."

1092 )

-> 1093 raise ValueError(msg)

1094

1095 if dtype_numeric and hasattr(array.dtype, "kind") and array.dtype.kind in "USV":

ValueError: Expected a 2-dimensional container but got <class 'pandas.core.series.Series'> instead. Pass a DataFrame containing a single row (i.e. single sample) or a single column (i.e. single feature) instead.

이런 에러가 나옵니다ㅠ

분할까지는 했는데,, 랜덤포레스트부터 오류가 뜹니다