我是ML的初学者，但是我正在做一个大学项目，并且我能够成功训练模型，但是我不确定如何测试用户输入。我的项目是检查为一个人输入的数据是否为糖尿病。
数据CSV：
Pregnancies Glucose BloodPressure Skinthickness Insulin BMI DiabetesPedigreeFunction Age Outcome
6 148 72 35 0 33.6 0.627 50 1
1 85 66 29 0 26.6 0.351 31 0
8 183 64 0 0 23.3 0.672 32 1
1 89 66 23 94 28.1 0.167 21 0
0 137 40 35 168 43.1 2.288 33 1
5 116 74 0 0 25.6 0.201 30 0
3 78 50 32 88 31 0.248 26 1
10 115 0 0 0 35.3 0.134 29 0
2 197 70 45 543 30.5 0.158 53 1
代码：
from sklearn.ensemble import RandomForestClassifier
random_forest_model = RandomForestClassifier(random_state=10)
random_forest_model.fit(X_train,y_train.ravel())
predict_train_data = random_forest_model.predict(X_test)
from sklearn import metrics
print("accuracy = {0:.3f}".format(metrics.accuracy_score(y_test,predict_train_data)))
用户输入代码：
print("Enter your own data to test the model:")
pregnancy = int(input("Enter Pregnancy:"))
glucose = int(input("Enter Glucose:"))
bloodpressure = int(input("Enter Blood Pressue:"))
skinthickness = int(input("Enter Skin Thickness:"))
insulin = int(input("Enter Insulin:"))
bmi = float(input("Enter BMI:"))
DiabetesPedigreeFunction = float(input("Enter DiabetesPedigreeFunction:"))
age = int(input("Enter Age:"))
userInput = [pregnancy,glucose,bloodpressure,skinthickness,insulin,bmi,DiabetesPedigreeFunction,age]
我希望它返回1-如果是糖尿病，则返回0-如果是非糖尿病
编辑-添加了x_train和y_train：
from sklearn.model_selection import train_test_split
feature_columns = ['Pregnancies','Glucose','BloodPressure','Skinthickness','Insulin','BMI','DiabetesPedigreeFunction','Age']
predicted_class = ['Outcome']
X = data[feature_columns].values
y = data[predicted_class].values
X_train,X_test,y_train,y_test = train_test_split(X,y,test_size = 0.30,random_state=10)
from sklearn.ensemble import RandomForestClassifier
random_forest_model = RandomForestClassifier(random_state=10)
random_forest_model.fit(X_train,y_train.ravel())