如何解决“ ValueRor：Y应该是1D数组，相反。

Question

from tkinter import *
from tkinter import ttk
from tkmacosx import Button
top = Tk()
top.title("Jobs")
top.geometry("1000x800")

line1 = LabelFrame(top, text='')
line1.pack(expand = 'yes', fill = 'both')

n = StringVar()

categorychoosen = ttk.Combobox(line1, width = 27, textvariable = n)


# Adding combobox drop down list
categorychoosen['values'] = ('Advocate','Arts','Automation Testing','Blockchain','Business Analyst',
                             'Web Designing')
  
categorychoosen.place(x=50, y=150)
categorychoosen.current()



    name=Label(line3,text="Welcom to ... company",font =("Arial", 10))
name.place(x=0, y=0)

n1 = StringVar()
sectionchoosen = ttk.Combobox(line3, width = 27, textvariable = n1)
  
# Adding combobox drop down list
sectionchoosen['values'] = (' Computer Science', 
                          ' computer engineering',
                          ' Information Technology',
                          ' artificial intelligence',
                          ' cyber security',
                          ' computer networks',
                          ' Information Security',
                          ' Management Information Systems',
                          ' Software engineering',
                          ' data analysis',
                          ' Data Science')
  
sectionchoosen.place(x=20, y=20)
sectionchoosen.current()

def model():
    import pandas as pd
    from sklearn.model_selection import train_test_split
    from sklearn.feature_extraction.text import TfidfVectorizer
    from scipy.sparse import hstack
    from sklearn.multiclass import OneVsRestClassifier
    from sklearn.neighbors import KNeighborsClassifier
    from sklearn import preprocessing
    import numpy as np



    Category= ['Advocate','Arts','Automation Testing','Web Designing']
    job = categorychoosen.get()
    section = sectionchoosen.get()
    expert = expertchoosen.get()
    language = languagechoosen.get()

    # transform 
    p = preprocessing.LabelEncoder()

    target= p.fit_transform(Category)
    target.shape
    wordOfjob = p.fit_transform(job)
    wordOfsection = p.fit_transform(section)
    
    #zip
    features = list(zip(wordOfjob,wordOfsection))

   # train_test_split
   x_train, x_test, y_train, y_test = train_test_split(features,target ,random_state = 42, test_size = 0.2)

   # Knn Classifier                       
   model = OneVsRestClassifier(KNeighborsClassifier(n_neighbors=5, metric= 'euclidean'  ))
   model.fit(x_train,y_train)
   prediction = model.predict(x_test)

   # Result in GUI_Lable 
   jobResult = Label(line4,text=str(prediction) ,bg='light gray')
   jobResult.place(x=0, y=80)


but= Button(line4,text="Start",bg='gray', command=model)

but.place(x=0, y=120)



top.mainloop()
 

我对错误有问题，当我执行此代码时，它似乎是这样的：提高valueError（valueError：y应该是1D数组，而是Shape（）代替。.

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注意：注意： 类别选择和sectionChoosen和expertchooshosy和languageChoososen它在Gui Python中的Combobox

我进行了很多搜索，并得出结论，此错误是始终从model.fit（x_train，y_train）中，但我尝试了Internet上提供的解决方案，但我没有进行更正。 即使将我添加到target.shape之后。我遇到同样的错误。在接口中按下按钮时，错误始于启动函数def model（）时