垃圾邮件分类识别 word2vec+svm实现 Accuracy 、f1_score、 roc曲线 完整代码+数据集 可直接运行

项目演示：

垃圾邮件分类识别 基于word2vec+svm实现 Accuracy 、f1_score、 roc曲线_哔哩哔哩_bilibili

运行截图：

 完整代码：

import pandas as pd
import numpy as np
from collections import Counter
import re
import jieba
from tqdm import tqdm
from sklearn.metrics import roc_curve, auc
import joblib
import gensim
from sklearn.svm import SVC
from gensim.models import KeyedVectors
from gensim.models import Word2Vec
from gensim.models.word2vec import LineSentence
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
#V wqqpython
plt.rcParams["font.sans-serif"] = ['Simhei']
plt.rcParam