如何将值传递给由 pd.dummies 编码的数据集训练的模型？我收到值错误：无法转换数组

如何解决如何将值传递给由 pd.dummies 编码的数据集训练的模型？我收到值错误：无法转换数组

import pandas as pd
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LinearRegression

dataset = pd.read_csv('test_scores.csv')
columns = dataset.columns.values.tolist()
columns.remove('student_id')
columns.remove('posttest')

X = dataset[columns]
y = dataset['posttest']

x = pd.get_dummies(X)

X_train,X_test,y_train,y_test = train_test_split(x,y,test_size = 0.15)

regressor = LinearRegression()
regressor.fit(X_train,y_train)

y_pred = regressor.predict(X_test)
y_pred = np.round(y_pred)

pickle_out = open("model.pkl",mode = "wb") 
pickle.dump(regressor,pickle_out) 
pickle_out.close()

流线型形式：

school = st.selectbox("School",(school_list))
school_setting = st.selectbox("School Setting",(setting_list))
school_type = st.selectbox("School Type",(school_type_list))
classroom = st.selectbox("Classroom",(classroom_list))
teaching_method = st. selectbox("Teaching Method",(teaching_method_list))
n_student = st.number_input("Number of students in the classroom")
gender = st.selectbox("Gender",(gender_list))
lunch = st.selectbox("Do you qualify for Lunch?",(lunch_list))
pretest = st.text_input("Pretest score")

对于使用上面训练的模型，我尝试使用下面的代码来获取

score = model.predict( [[school,school_setting,school_type,classroom,teaching_method,n_student,student_id,gender,lunch,pretest]])

我收到以下错误：

ValueError: Unable to convert array of bytes/strings into decimal numbers with dtype='numeric'

这是因为受过训练的模型是用假人训练的，并且只会将输入设为 0 或 1 吗？如何解决这个问题？

我正在使用 this dataset from Kaggle。

我正在处理的数据示例：