작업형3 범주형 변수 관련 질문

[퇴근후딴짓] 빅데이터 분석기사 실기 (작업형1,2,3)

예시문제 작업형3(신 버전)

해결된 질문

작성

456

선생님 안녕하세요!작업형3 로지스틱 회귀모형을 진행할 때범주형 데이터는 C()로 묶어서 하라고 말씀해주셨는데, 강의에서 만약 범주형 데이터인지 헷갈린다면 모두 C()로 묶어서 하라고 하셨던 것으로 기억하는데그렇게하면 에러가 뜨는데 왜일까요??

# 2.
# 로지스틱 회귀모형
from statsmodels.formula.api import logit
# model = logit('Survived ~ C(Gender) + C(SibSp) + C(Parch) + C(Fare)', data=df).fit() --> error
# print(df.head())
model = logit('Survived ~ C(Gender) + SibSp + Parch + Fare', data=df).fit()
print(model.summary())
# print(model.params['Parch'])
# 답 : -0.201

Warning: Maximum number of iterations has been exceeded.
         Current function value: inf
         Iterations: 35
Makefile:6: recipe for target 'py3_run' failed
make: *** [py3_run] Error 1
/usr/local/lib/python3.9/dist-packages/statsmodels/discrete/discrete_model.py:1819: RuntimeWarning: overflow encountered in exp
  return 1/(1+np.exp(-X))
/usr/local/lib/python3.9/dist-packages/statsmodels/discrete/discrete_model.py:1872: RuntimeWarning: divide by zero encountered in log
  return np.sum(np.log(self.cdf(q*np.dot(X,params))))
Traceback (most recent call last):
  File "/goorm/Main.out", line 26, in <module>
    model = logit('Survived ~ C(Gender) + C(SibSp) + C(Parch) + C(Fare)', data=df).fit()
  File "/usr/local/lib/python3.9/dist-packages/statsmodels/discrete/discrete_model.py", line 1983, in fit
    bnryfit = super().fit(start_params=start_params,
  File "/usr/local/lib/python3.9/dist-packages/statsmodels/discrete/discrete_model.py", line 230, in fit
    mlefit = super().fit(start_params=start_params,
  File "/usr/local/lib/python3.9/dist-packages/statsmodels/base/model.py", line 579, in fit
    Hinv = np.linalg.inv(-retvals['Hessian']) / nobs
  File "<__array_function__ internals>", line 5, in inv
  File "/usr/local/lib/python3.9/dist-packages/numpy/linalg/linalg.py", line 545, in inv
    ainv = _umath_linalg.inv(a, signature=signature, extobj=extobj)
  File "/usr/local/lib/python3.9/dist-packages/numpy/linalg/linalg.py", line 88, in _raise_linalgerror_singular
    raise LinAlgError("Singular matrix")
numpy.linalg.LinAlgError: Singular matrix

python 머신러닝 빅데이터 pandas 빅데이터분석기사

답변 2