작업형3 범주형 변수 관련 질문

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 : -0.201Warning: 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