سورس تشخیص دیابت با Logistic Regression

(768, 9)
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 768 entries, 0 to 767
Data columns (total 9 columns):
 #   Column                    Non-Null Count  Dtype
---  ------                    --------------  -----
 0   Pregnancies               768 non-null    int64
 1   Glucose                   768 non-null    int64
 2   BloodPressure             768 non-null    int64
 3   SkinThickness             768 non-null    int64
 4   Insulin                   768 non-null    int64
 5   BMI                       768 non-null    float64
 6   DiabetesPedigreeFunction  768 non-null    float64
 7   Age                       768 non-null    int64
 8   Outcome                   768 non-null    int64
dtypes: float64(2), int64(7)
memory usage: 54.1 KB
None
                          count        mean         std     min       25%       50%        75%     max
Pregnancies               768.0    3.845052    3.369578   0.000   1.00000    3.0000    6.00000   17.00
Glucose                   768.0  120.894531   31.972618   0.000  99.00000  117.0000  140.25000  199.00
BloodPressure             768.0   69.105469   19.355807   0.000  62.00000   72.0000   80.00000  122.00
SkinThickness             768.0   20.536458   15.952218   0.000   0.00000   23.0000   32.00000   99.00
Insulin                   768.0   79.799479  115.244002   0.000   0.00000   30.5000  127.25000  846.00
BMI                       768.0   31.992578    7.884160   0.000  27.30000   32.0000   36.60000   67.10
DiabetesPedigreeFunction  768.0    0.471876    0.331329   0.078   0.24375    0.3725    0.62625    2.42
Age                       768.0   33.240885   11.760232  21.000  24.00000   29.0000   41.00000   81.00
Outcome                   768.0    0.348958    0.476951   0.000   0.00000    0.0000    1.00000    1.00
Pregnancies                 0
Glucose                     0
BloodPressure               0
SkinThickness               0
Insulin                     0
BMI                         0
DiabetesPedigreeFunction    0
Age                         0
Outcome                     0
dtype: int64
used column:  Glucose, BloodPressure, SkinThickness, Insulin, BMI
is Null?
Pregnancies                 0
Glucose                     0
BloodPressure               0
SkinThickness               0
Insulin                     0
BMI                         0
DiabetesPedigreeFunction    0
Age                         0
Outcome                     0
dtype: int64
X_train shape: (614, 4)
X_test shape: (154, 4)
Y_train shape: (614,)
Y_test shape: (154,)
Logistic Regression: 72.07792207792207
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