筆者嘗試了一下達觀杯的比賽，程式碼如下圖所示：

import pandas as pd

import imp

from sklearn.linear_model import LogisticRegression

from sklearn.feature_extraction.text import CountVectorizer

df_test = pd.read_csv(r'testset.csv')

df_train = pd.read_csv(r'trainset.csv')

df_train.drop(columns=['article','id'],inplace=True)

df_test.drop(columns=['article'],inplace=True)

vectorizer = CountVectorizer(ngram_range=(1, 2),min_df=3,max_df=0.9,max_features=10000)

vectorizer.fit(df_train['word_seg'])

x_train =vectorizer.transform(df_train['word_seg'])

x_test =vectorizer.transform(df_test['word_seg'])

y_train =df_train['class']-1

lg = LogisticRegression(C=4,dual=True)

lg.fit(x_train,y_train)

y_test = lg.predict(x_test)

df_test['class'] = y_test.tolist()

df_test['class'] = df_test['class'] + 1

df_result =df_test.loc[:,['id','class']]

df_result.to_csv('./result.csv',index=False)

print("完成")

執行結果是：

pandas.errors.ParserError: Error tokenizing data. C error: out of memory

這是因為我的電腦記憶體太小，導致了記憶體溢位，因此換一臺電腦就可以得到最終得分為72分的答案了。筆者最終排名位於全國前300名，算是一個個人感覺還不錯的成績了。 ---------------------