{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"**Báo cáo BTL Học máy**\n\n* Mã lớp: INT3405E 20\n* Sinh viên: Hà Long Việt\n* MSSV: 19021393","metadata":{}},{"cell_type":"code","source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load\n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the read-only \"../input/\" directory\n# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n\nimport os\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n    for filename in filenames:\n        print(os.path.join(dirname, filename))\n\n# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2022-01-07T15:35:53.839834Z","iopub.execute_input":"2022-01-07T15:35:53.84071Z","iopub.status.idle":"2022-01-07T15:35:53.863999Z","shell.execute_reply.started":"2022-01-07T15:35:53.840612Z","shell.execute_reply":"2022-01-07T15:35:53.863397Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# **1. Vấn đề**\n* Quora là nơi tất cả mọi người có thể đăng các câu hỏi. Các câu trả lời có thể đến từ những người nổi tiếng, doanh nhân, nhà khoa học, giáo sư đại học hay bất cứ ai. Các câu trả hay được upvote để đảm bảo chất lượng.\n* Một vấn đề tồn tại đối với bất kỳ trang web lớn nào hiện nay là làm thế nào để xử lý nội dung độc hại và gây chia rẽ. Quora muốn giải quyết vấn đề này trực tiếp để giữ cho nền tảng của họ trở thành một nơi mà người dùng có thể cảm thấy an toàn khi chia sẻ kiến thức của họ với thế giới.\n*Mục tiêu: tìm và lọc ra các câu hỏi được xem là không phù hợp trên Quora.\n\nMô tả bài toán:\n* Đầu vào : dữ liệu các câu hỏi dưới dạng text.\n* Đầu ra : phân loại được câu hỏi là insincere hay sincere.","metadata":{}},{"cell_type":"markdown","source":"# **2. Phân tích dữ liệu**\n\nMô tả tệp:\n* train.csv - tập huấn luyện\n* test.csv - bộ thử nghiệm\n\nCác trường dữ liệu:\n* qid - mã định danh câu hỏi duy nhất\n* question_text - câu hỏi Quora\n* target - câu hỏi có nhãn \"insincere\" có giá trị bằng 1, ngược lại bằng 0","metadata":{}},{"cell_type":"code","source":"# Import các thư viện cần thiết\nimport matplotlib.pyplot as plt\nimport seaborn as sns\nimport re\nimport sys\nimport warnings\nimport string\n\nif not sys.warnoptions:\n    warnings.simplefilter(\"ignore\")\n\nfrom tqdm import tqdm\nfrom collections import Counter\nfrom wordcloud import WordCloud, STOPWORDS\nfrom scipy.sparse import hstack\nfrom IPython.display import Image\nfrom tqdm import tqdm_notebook\n\nimport nltk\nfrom nltk.tokenize import word_tokenize\nfrom nltk.corpus import stopwords\nfrom nltk.stem import PorterStemmer, SnowballStemmer, WordNetLemmatizer\nfrom nltk.stem.lancaster import LancasterStemmer\nfrom nltk.util import ngrams\nprint(os.listdir(\"../input\"))","metadata":{"execution":{"iopub.status.busy":"2022-01-07T15:35:53.865251Z","iopub.execute_input":"2022-01-07T15:35:53.865587Z","iopub.status.idle":"2022-01-07T15:35:55.498695Z","shell.execute_reply.started":"2022-01-07T15:35:53.865558Z","shell.execute_reply":"2022-01-07T15:35:55.497809Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"> Xem qua về các tệp input được cung cấp:","metadata":{}},{"cell_type":"code","source":"#Đọc dữ liệu\ntrain = pd.read_csv('../input/quora-insincere-questions-classification/train.csv')\ntest = pd.read_csv('../input/quora-insincere-questions-classification/test.csv')\nsub = pd.read_csv('../input/quora-insincere-questions-classification/sample_submission.csv')\n\nprint(\"Train shape : \",train.shape)\nprint(\"Test shape : \",test.shape)","metadata":{"execution":{"iopub.status.busy":"2022-01-07T15:35:55.500218Z","iopub.execute_input":"2022-01-07T15:35:55.500732Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train.info()","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"> Ta thấy:\n> * Dữ liệu train bao gồm 1306122 dòng và 3 cột\n> * Dữ liệu huấn luyện không có giá trị null","metadata":{}},{"cell_type":"code","source":"train[\"target\"].value_counts()","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train[train['target']==0].head()","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train[train['target']==1].head()","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"> * Trường *'target'* phân loại câu hỏi bằng hai giá trị là 0, 1 với 0 là các câu hỏi sincere và 1 là các câu hỏi insincere\n> * Dữ liệu train gồm 80810 dòng đã được xác nhận là câu hỏi insincere và 1225312 dòng là sincere\n> * Khi nhìn vào trường target: các giá trị không cân bằng, giá trị '0' nhiều hơn giá trị '1' gấp nhiều lần *","metadata":{}},{"cell_type":"code","source":"print(\"Tổng dữ liệu trong tập train : \",train.shape[0])\nprint(\"Số câu hỏi chân thành: \", len(train[train.target == 0]))\nprint(\"Số câu hỏi không chân thành: \",len(train[train.target == 1]))\nprint(\"Tỉ lệ giữa 2 thành phần: \",len(train[train.target == 1])/len(train[train.target == 0]))\nprint('\\n')\nax, fig = plt.subplots(figsize=(10, 7))\nquestion_class = train[\"target\"].value_counts()\nquestion_class.plot(kind= 'bar', color= [\"red\", \"yellow\"])\nplt.title('Bar chart')\nplt.show()","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print('- Phần trăm câu hỏi sincere : {}%'.format(100 - round(train['target'].mean() * 100, 2))) \nprint('- Phần trăm câu hỏi insincere : {}%'.format(round(train['target'].mean() * 100, 2)))","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**Nhận xét:**\n\nTa thấy: \"Sincere question\" có hơn 1,2 triệu câu hỏi, chiếm 93.81% tập train, chỉ có 6.19% cho \"Insincere question\" với khoảng gần 81,000 câu hỏi. Dữ liệu cực mất cân bằng khi sincere question nhiều hơn 15 lần so với insincere question.","metadata":{}},{"cell_type":"markdown","source":"**Khảo sát Word Cloud:** \n* là một kỹ thuật trực quan hóa dữ liệu được sử dụng để biểu diễn dữ liệu văn bản, trong đó kích thước của mỗi từ cho biết tần suất hoặc tầm quan trọng của nó.\n* Từ nào xuất hiện nhiều kích thước sẽ càng lớn và ngược lại.","metadata":{}},{"cell_type":"code","source":"sin = train[train['target']==0]\ninsin = train[train['target']==1]\ndef wcloud(docs, title):\n    wordcloud = WordCloud(width=800, height=400, collocations=False, background_color=\"white\").generate(\" \".join(docs))\n    fig = plt.figure(figsize=(10,7), facecolor='none')\n    plt.imshow(wordcloud)\n    plt.axis('off')\n    plt.title(title, fontsize=25,color='k')\n    plt.tight_layout(pad=0)\n    plt.show()\nwcloud(sin.question_text, \"Sincere question\")\nwcloud(insin.question_text, \"Insincere question\")","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# **3. Data processing**\n\nClean data\n* Loại bỏ stopwords: là các từ được lọc ra trước hoặc sau quá trình xử lý dữ liệu văn bản\n* Lemmatize: đưa chữ về một dạng thống nhất\n* Tokenization: xóa bỏ các khoảng trắng thừa, chuẩn hóa chữ cái viết hoa, xử lý các kí tự số","metadata":{}},{"cell_type":"code","source":"nltk.download('stopwords')\nnltk_stopwords = stopwords.words('english')\n\nwordnet_lemmatizer = WordNetLemmatizer()\n\ndef lemSentence(sentence):\n    token_words = word_tokenize(sentence)\n    lem_sentence = []\n    for word in token_words:\n        lem_sentence.append(wordnet_lemmatizer.lemmatize(word, pos=\"v\"))\n        lem_sentence.append(\" \")\n    return \"\".join(lem_sentence)\n\ndef clean(message, lem=True):\n    # Loại bỏ dấu câu\n    message = message.translate(str.maketrans('', '', string.punctuation))\n    \n    # loại bỏ chữ số\n    message = message.translate(str.maketrans('', '', string.digits))\n    \n    # loại bỏ stop words\n    message = [word for word in word_tokenize(message) if not word.lower() in nltk_stopwords]\n    message = ' '.join(message)\n    \n    # Lemmatization\n    if lem:\n        message = lemSentence(message)\n    \n    return message","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#Bắt đầu clean dữ liệu trên tập train\ntrain['question_text_cleaned'] = train.question_text.apply(lambda x: clean(x, True))","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"> * Tách dữ liệu để đánh giá mô hình.\n> * Ta sử dụng hàm chia dữ liệu đã được cho trước trong thư viện sklearn.","metadata":{}},{"cell_type":"code","source":"from sklearn.model_selection import train_test_split\n\n# chia dữ liệu tập train và tập test theo tỷ lệ 80:20\nX_train, X_test, y_train, y_test = train_test_split(train['question_text_cleaned'], train['target'], test_size=0.2, random_state=42)","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# **4. Huấn luyện model**\n\n**Metric**: Ta sẽ sử dụng f1-score thay thế cho accuracy khi mô hình có tỷ lệ mất cân bằng mẫu cao.\n* F1-score là trung bình điều hòa (harmonic mean) của precision và recall (giả sử hai đại lượng này khác 0). F1-score được tinh theo công thức:\n\n![image.png](attachment:7770086d-bea2-4720-b6f7-b81aa88a5cc8.png)\n\nTrong đó:\n* Precision được định nghĩa là tỉ lệ số điểm true positive trong số những điểm được phân loại là positive (TP + FP).\n* Recall được định nghĩa là tỉ lệ số điểm true positive trong số những điểm thực sự là positive (TP + FN).\n\n![image.png](attachment:240e5719-d409-428b-81cf-892e2f59f8ae.png)","metadata":{},"attachments":{"7770086d-bea2-4720-b6f7-b81aa88a5cc8.png":{"image/png":"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**Vectorization:**\n>  \n> * CountVectorizer: để sử dụng dữ liệu văn bản cho mô hình dự đoán, văn bản phải được phân tích cú pháp để loại bỏ một số từ nhất định - quá trình này được gọi là mã hóa . Sau đó, những từ này cần được mã hóa dưới dạng số nguyên hoặc giá trị dấu phẩy động, để sử dụng làm đầu vào trong thuật toán học máy. Quá trình này được gọi là trích xuất đặc trưng (hoặc vectơ hóa).","metadata":{}},{"cell_type":"markdown","source":"> **Pipeline:**\n> \n> * là một tập các chuỗi thuật toán để trích xuất đặc trưng, tiền xử lý, chuyển hóa và huấn luyện dữ liệu sử dụng các thuật toán học máy cụ thể.\n> * phương thức fit để huấn luyện estimator tại bước cuối cùng của pipeline.\n> * dự đoán đầu ra cho dữ liệu mới bằng cách sử dụng phương thức predict.\n","metadata":{}},{"cell_type":"markdown","source":"**Bắt đầu huấn luyện mô hình:**","metadata":{}},{"cell_type":"code","source":"from sklearn.pipeline import Pipeline\nfrom sklearn.metrics import accuracy_score, f1_score\nfrom sklearn.feature_extraction.text import CountVectorizer\n\ncount_vectorizer = CountVectorizer(analyzer=\"word\", ngram_range=(1,3))","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# **Naive Bayes**\n\n* Theo định lý Bayes, ta có công thức tính xác suất ngẫu nhiên của sự kiện y khi biết x như sau:\n\n![image.png](attachment:3654250a-56ba-4313-a0bf-1b08ad9e523a.png)\n\n* Giả sử ta phân chia 1 sự kiện x thành n thành phần khác nhau x1, x2,..., xn. Naive Bayes theo đúng như tên gọi dựa vào một giả thiết ngây thơ rằng x1, x2,...xn là các thành phần độc lập với nhau. Từ đó ta có thể tính được:\n\n![image.png](attachment:2840f0fa-2347-4601-9284-f0311845ec4a.png)\n\n* Do đó ta có:\n\n![image.png](attachment:97785b19-8e66-46a5-81c2-2cc1f221b95c.png)\n\nTa sẽ áp dụng Multinomial Naive Bayes.","metadata":{},"attachments":{"3654250a-56ba-4313-a0bf-1b08ad9e523a.png":{"image/png":"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"},"2840f0fa-2347-4601-9284-f0311845ec4a.png":{"image/png":"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"},"97785b19-8e66-46a5-81c2-2cc1f221b95c.png":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAATgAAABhCAYAAABCib3hAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAAEnQAABJ0Ad5mH3gAABmCSURBVHhe7Z0NUFvXlcf/S6IwIi6YsMQMxgN4JHvAG6A1HmOGlqHBnsSemG5Ws4U0pqkdf1AnDg24wUlMtjgJNAXHxqFMcSExTop3V3UHe2wyhpSSZfgYTAZILcYWY2CKNRAFY1RHWqKG3fs+hIWQBOjDQY/zmwG99ySQ9O69/3vOuefe+0//xwBBEIQE8RMfCYIgJAcJHEEQkoUEjiAIyUICRxCEZCGBIwhCspDAEQQhWUjgCIKQLCRwBEFIFhI4giAkCwkcQRCShQSOIAjJQgJHEIRkIYEjCEKykMARBCFZaLkkYnkwPYam0grU60xY/UQ+CpLHoT79R/SOm3HHLEfqc7lQbZCLLyakAgkcsSwwd9agFruwc7wUeZdMUCSk4fnn0hAuA3TqQhRc+z7K3tiKUPH1hDQgF5VYBpjR2wNs2STD5IQB8I+CKlsQNw7jlBl4EHhIOCUkBAkcsQyQIXH/bsT6jWFowARZXBJi/cWnMATNNRNC1ysRJF4hpAMJHLF8MGjROwokMjGbYaQXbROBSN0YJV4gpAQJHLFsMF/ToBdRSNgg+qaMgZYO6EI2IjEa0J2vQINOfIKQBCRwxLJh+OYgEKqEIlC8AMFlDU2IR7ipG026eCSHi08RkoAEjlgmjGNoyITITfFWI6WrEL85Cl931iDv5CCS96RQHE5iUJoIQRCShSw4giAkCwkcQRCShQSOIAjJQgJHEIRkIYEjCEKykMARBCFZKE2E8GkG6gpR+bl4cj95LBNlWbHiCbFUIQuOkARf3zVAP2Hvx4SvxdcsHDPu2P1fBtwxii8hfAKy4AiJYIa+9X0UfaTBpHhFIA4FlbuxOFurD7U5NWgSz3j8IqB6YR92xszM8yJ8ALLgCIkgQ2jKPry0xTur8sY+TeLmi5DAEe4xPY6rvytEycdj4gXXGFYX4iizvtz1AIP+2TsiFB6ytMRtsr0GBSWN0Ivn3kR/uRhFH4+LZ25g6ED5qxVov48rtixNgTMNoaGkELV9ZvGCG/TUYM8HGvHEfTzVEKWBCZrqUpzxU+HQE6vEa64RqTqCjIkqvHK6j+7tPBhZnX79PJD90n1cYn36H+KBGwQm4dDeCNS/VYqm+yRybsbghqA+fAIX7oqnzvCTIXztZmSotmFLpJPekNscpLgUbd/NR+F29xoND6sM2V2JqN0bJ15wFxOuvncEZ/x349fsfwaIV32B4bojOPqpSTxzTkBIFNKfUGF7cgQCHHSD+sulKGhehbw3d1mtkOsGpg5U5p+DUVWEvDTXLCbO2si7aG1NeiYGl77/BLITxJNFYPy0AgfqtOKZc2QrIpCctg07t8Yh9N6SdbPRNaLorT8jan8RsuMcvcizcPe0Ers90x4ZOvUxFHQqUfjrTCi8bGJ5bJBh+L9Y42lmjcePVahT3PLQ4hM8Zkz2/wVnai7h6l0ZYjPyUWC3x2cWwekilH3xQ5S85qHeyeMCx/BAQ/xWGVDjxbJWPhhvt+FOaNH0QQ1qb5ggi9yBkl+ysrCtiKOsoR27hNBni5HjwbjX5CelePH8g8h5MxdbgsWLi2CpCdwMrM6Uv3wOV9mh4qkjc8Viagy9dVUo72SuYOBG5P0H6zTm3FbW+b9VjLqgTJx6Iem+da6eFjhMa1CXX4W2jQdx6idWqyt7AQ/ppxn6L0TLYO06RM35rzIExWxFztNcNTNDU38WLRPCM9aY+9So/CwAGc8s8d2N5El45ukI9Kpr0G7neyx1zPrb4khjFJRr+YPZBCuR/vMMbGGH5uFLqG42CNdnYGV48c8Y8E/C1s2eDeoHpWxDuv8Qzlz0XFhhSTA6hmH+QA5ltB2h8F+F+Od2IYOJutnQjfL/nvv9zT2XoB6RIz3t/ombV/CLRXr6Kky21tvVAU/iIYEbgvamcBQayVwa4XAOsjWrISyYOoIWrqeaxRha/tSNycgUpEaLl5YwvtwQ+ZVtOYKj4TBa4B+BqBDhUNPROTv1YqIVFz4zITwlxfMuhn8ckhPkMLZfQbutrvowxqFBcUAg2n6nwrMakWuEI2NnN2bXLAPaPu6DMSQJqRvESz5M6JYkZlWPoO7ywtx3V/FM9dTdgEY04GIjnWze8eUYZmKLtkHLa81QjwJb0nxkVVWfbYhj0F4XC4t1Ro5X6L4NvaUPYkVlnSyrb+9gjS8Qyd+NEK94FsWmeNZJDqGtWzoKp70xJByEMhFzGK9k9/wL8XDaZoBttBMtzATkl1cXL/k0wRuRqmBC3t2NAfGSN/CIwJmHb4nmdwSc6dvk6G3xiBVU8CPikYCmrQNGpumbEu5P4NQT+GRDnBrEkJhboHBWWPox9s1EQr6DleIhZ0kM9I+xmqOEwluW9nolNrGH3msa5gxLgSEMCw0EsrXRTsIv49BZBC44xOqeMyHov8YLQfw6qez+FQjFOuYimDTQiA6FN/CIwM24PHLm1jgsPTO0AyPCIWsc1jsbsf4Nvf3sIYKZ754Yjbtf+GJDvDmEXv5ADmWk6IPawTwwONOzJsbFYqa0pjTo4Z5gDdVrTc2PdZRh7LFfy2qGBDCMQCvGmmKZ1eyQQdYOpoXDoMesLTUzNNe47iYKSqnoGyN0zWr224Ce6x7IsXOABwTOyuVZG4VI4Wgupm60XRMOFU+osMU69jOowVX2LwKiohy7p+YRtLxXiD05udiTewINA+J7WqFvLGXPH4F6oTavaQgtp0vx4qFcZOccRsF7jRjm/u14N+qOHRbe69Uqx4mJ7jZEfTcuvFeKvFcLkferE6i73Ae9I6XkRtnOV6GEe+2rxbjgol2vH9CKeWbOYkEmXO0QI0BhW5GVYlVYujFe+ALCVjkOdLtdVqsQzrXu6RHoRoUrPs31G2KnEsgEyvGo+3BXtxCnk8fh+R9ZK9kt6Lg6KA9D6DyD9pNdapS9Ltbd3GLUdXHiYcLw5SoUcPX84GEU1Xkmj9PYp0ZRrth2TndgUhTnGVhnWPcK+xzvttp/v7A1YF4qBv52Szj3Au4LnJXLExkZfa+nn4UJmg/r+SHyoHUq5OyYPYpkHh3jC1YZ7mAYmsuNe6cKmoSXUF25G6lTQ6j74Mq9eB4PE4C2Ed6SMi/EnDL1obbwd9DE7MLxEydQezwTypuXUHS8AuXvNGPlz95G9ZuZSDRrUFnnoIDcaIhcsuaLhefQNvUI4iMfgWx8CA0Xa5h4VaBlZPYXMF5T4+jhYpR//iASt2cgZ5cK8Y6NLyeYmask9pZOYkHGnjr84QY7WKFEzt4ds1NEvhznyyo82EFL81BZhYZxX3BMEgKnG7Y4+8wAcGQB6BpxpsXAWmQIntyThXjrwelpds85CzAoxGl8mstLfPmKDBl5rO5WnkDJ40BDTSnKy1mdvrURhSeKcSxtFXSfnkU95zG5AVd/j16U4adFJ1D21CPQfXYOf+iyKcz+DjSxr2S2FT4Ljz4CzobjOk1RQjyO+wJ3XcsLF+fyxCpsBcrMOvM+NLxbhJLP/oHILbvw5kspc3Kq7nwp5C2FOmg0xs561D+qwvMprNIzMeSry/g47vDPijCh1fKNQYnY9fwVJzCT/8M6DD2ei5yUVZBxn0euhOJR9syIFrrNmXgywoT2D86hnUtivmvCV/zfzcWlhmjqwJma29iax+5L3m5k789FyYmjOJQQCNldLaqLT97L9B6sR/FvWyH7QS5OvbEb6SkboYhRItKFHDEuFKARK3bA+nVzY0GmEWjOV+CV3/XBGJaEvIKD2GIT0dbrLWU1O4ZqwWNl9cCD/MOCOqslzTg018UYrWIdlLYtbmocw61ncfStSxhmHUr2L/KRtcEm9eaL28yGY8yKhdow2ohKLuk6PwOKYMHMCF0bzaxsZo1fD0RW9kYEXGd16ZMR1lmbYJ7iX+Ia00NoUo8xIc7gR+H1t4Q6oR+/F2Pn0A0M8Z1Y5DqlfWvfTyYYRN8sfr2XheK2wOlZ7yTUQRMayjlz1frnMA6UqtG74ocoKHobx9hNDrLzjvpRzqoIxEq73ZMBXS2DSE6J42/G5LVe3kWSxcWz5mFFP3NzuceINXby8GwY/QvU/fF4Zpu1IN/GJF8P740OymTcO8qRmBbnODDsQkPUNTBX+Acq7FRYVWTWcyfuP4K877FrzCKsffcsNBMa1P62GXcSdiNfFeXYJVwoOiYsYm9qbK2wKSv2k38S1TfkyNh/FNVvZDq1Eh+W27PVPV9Wt0RB9VmYGAyLoWcuwfqA7T3PLUHpJ+OIz8rHqeKDSLeuE7b4BzjwkADNxUt46ImMWTNKzAaD4HnExCGeuy6T42F2v2WhKUiO4Z5wEWaZXQ7+PpK58My0RoifIwSb4qzb0xg01wRhV0Y68MwssDJeohacAQM3LC7PVpQxs7jW5qf6RBEK9m5FrMO5JxbkCLBbtjIot+/Gdr6nN6CnS6gtid8TGpEFS28Rul45f5pJUAyeeZn1dNbfXq9FD+cG+EVBwbsRgUg89Bv2HYpx6AfzFBBj4Q2RuWc9DzJLzF60mFnB2buQvoId3u1G2RvvowkbkZPtmSlhRmZtC4N5Icg6Oresait+g7ICZiUmOFE2p3ihrHwdds+7xMPU3XbueeVvmGWeC1WK4ylxC2F16kHk2Myq0V4X4qgKZsnx91+RgbIK1iaLVFDYhidGm1FyKBfln4rWpjPCNuLQj5lFyB3396GFC7GGMBG1Hj+ZsdJjF+BReQ83BW5kJsHXrsvjEeQIj2MNgfukYi4QNx0sdZN1k7nnBsQrFjDMJI+AImK2ms6MGsbEznUjPArrrfSrEM71fvbwj0XWLmbpskMzMwvjt8/uld1hyBILYu640ivJVF4oKx9nkplvQvw2yqsNPYi5gbO9oyFmfHCPgUiImb+Dxl0DvlrBPqNinlEMjhAlYsX2I6R3Me1MTpqdn2cJXYVFO8n78z7uNWWrYe34td6vrJZcoDkiNKWFljcWWG/houk9p7f7FpHFZSKHc1UZmrZOD5nvlgrPcDbavUC+Mjn3yT1VVqtDF9A4lyxWqVHOZo0slCmjGA5aAHM8knlg1t2xt3ORvqiOT0zvsiOiuhtawUrfoJzf8GFl7B3jyE2Buzf9JAJKhbuyYIJxbjaBFZZcICamG6zysjgsuV0u9xaWxj93nqBxRAPLwKMzFt4QH+TvusORJY7pWxjg81XY60YuodLNtdZ4rHKxFAqlyyK+MlhwX/UTswPKs/FAWX0jzHThw6A+y70pjDJmYblsNAd/RxCA8b/PHqxxwoxHYjs3fHocw30Wq9JNxPQuyFlnNSvp24Dh4QVY6dNmQbAfeIg/9QZuCdzM9JNgZrK6IcEr+dFTA+7MXmvahtu4wwvN3FwiS25XALuZC/kY5r5zyDuYi+zDaiEmNSr2dnNG9Qzo+vAs2izZ5fZYdENk7xGjZW6aeGoH/cdq1E8wV3V7FC8OAxfPur9+llUuVsJ6V2Ns7HuuDORjL7oJZ7Ea98tKGHhy4sr7AlZTGBPXu7Fqhn8IVnIG/eS4zXLsFsbQUnKYH7SwxNC0fxU8kjkjmP2NKG4U2y3HeAdqjx3Di7mF7G8X2ZGyz8MbOLYewTSr37y6OljMwYJldDh8SVpwVo3U6ZzG+VkZIqQccJt6OIZZPvyApRlf/S9/QYDdzKZPBRNrEyvM+TGj99MO6DkLiokT14NYRvs4Uznc6o4Yu9RQf/NDpDtxpRbfEGWIT1Gyz9Bttxfl8ouKLo4g8dldePKp/TiUwGo2P6paM9NYXGGAuQwCTnKxFgKrzPHswTg65sQKcLesxoTEVj9Wr3xY4KwHdaIi3TFFRaEwjUJvr4kMduDCsOC8mr9hv2ZGNtlfhll5FtNjaFD3InnrZlH0xtBUq0Fi/lEcSQGuNvctLhxiSfOYEtqRhcmW/0EbdxCqhNOQ3ujf+Han4Gc0eAfXBY6Zp71ig1OscW/SdUCUMD9Pq3PWg4RgUzJn0ZjQ+7nYAxm0aHinCg38gpsLDeLKEMCNUq6IRc6Rf4OCuYAn61kPu44Jib4PV3lLyYzJnnMoVpvwzM+cLd3kWkOUJWQh2+8Kfv+JGJ/hMBswcLkCR0/3IfTxXPyUX2NNjvjdB5HF3d67fSh5pRh1rUOskhsWlx82PQRNv1hYYWtmifii8Y+GkvuuNweFHDe7uFlWTNCHuRG4GOXs9BKfwjTjpvOrhLg1qCND5FpOqJjLa++mrwhAEHuN4vGDyGFC1VvNvI41TFxYOXd9JnakUyNoOVmBNsUuqCwLZY50QLt+B2LlI+jtMSD8sZjFWVL/kiSM+N9kWsALL7fxD+ug1cIo+XwDj3p+BoN7HsV8LG7By6luVL58Fu2O4kcRO3Dqta2LH/qf7kPtizVoCp/v77kpJ2dReUUD3RQr9hURSN8UiLZmDSbDdqDsDTtiZG/BS5MG6tL30aBjxRCoRNbe3Uhfa0Tvh1Wo7OQsExnCY7YhJ3ur88DwdDeqD55Fy4ZMVL+QxP5qEXB7GVSfROXnZqxcIcNXk0y0ZKuQ/pN9yNpkU+DTBgx/fBbll7SC5cmYfwFGM65WHkZ5n3g6hwhkF+UjfVE1WkB3/hgKGs1Q/bIIOx1OuHehrCz0n8OB8g4o/33xC4p+2wteCvdGsFLtkZ7D/o8ra6+O1KPgrWaYWedXppob19I3V6HsT+xem5kYbslE/rMbIbvZiDM1V9A+YRbuv+pnyNpsR0yusfv93giy3s5Hqp0EcqcLXnLTGk+r0TRsgplbtTsmBbF3m9n5fPfMgPayQlTeSkLh8Ux+ypY38NiKvu5haYyxOHRiHxLtBp/NME8xk9jmOUuFCt+aj5Kn7ViS3ljR14IbDXGGKROMU1x/xyzLQGHk1CHTZhjvCpaYTB747QXgxcYGR/fc1bISGag9gqLOaBw67qguOGbJrujrNiNoeL0UdUhDyZsZHlwySWx7kxk4VZBm17hwKHBcvfW3qYQWI4jdcaflN9GMklfrcWeeuuAu7jgrHkSG+O9xo20adPXY8b34SbuHsSfXZnL2VB+aWllv6RcL1ZPeu0mOGOjqhZG9d2qyi+LG4S9nwhY4v7hxsB5SeO23KG4cEduZm8MEq7UVA7bWvLtlNc3VAROCktMWLW7ShllgT7E2Mt6BFnHRCo/AyqXrr+I6jEycqk93M8mbH36xhFxWzjYT6fWfMIuR1YnwtG1Oy2+Suc4avyhkpHm33S4RgWMSt5k1GmY9tzcLewXMor8DDXOCqyZoauvQZJIjfe8uJC5AHzzKsm6IMiT+6w4oTB1o7LQZ+XCzrCabL6NhKhY/fdp3o2/eQrY5A1lhJjQ1C8m1HqG/lwmSsA6j/koHAlKYays+5Zh7iyXMQteIyktjkEXsQN7TztJDNLh8aYSJ4I9c2ndjMSwZgeN7KGYWBAy3osV2AbwVgcx0DkRqdj5UnLPObYrCTeDvkfHXsrmRxvvMsm+IYVuR81QErp5XQ2M9cdudsmKC+YfzI9jy7LfQYfkEq1gHsQOR/fVQe2JLTY6YJDwZPIgzvyqGeoUKWQtKlJfjYea0BESk4ciBFARMm6HvFBcMWJOGwpftbFJkhe78H9EQkIZDzkTQQyyRGJwFx7tqcaMzleo+DHABa/9AKDekIevHafNnh3sjBifuqgUP7yjlewjlVYmsWVsoulZWntmOUboxuHtwqUSvfATkFLHvdR+qn90YnEmDC789h/oBA7PkZAgKW43UJ3ZBZW8Qw5rBehSUapH+Wv4iZ024xhITOAbti+pb8Dvbn8Tl6IModGPzZ25D7d9PZeLIT2LduqfLQeA4JturUPTnaBR4antNJxj7LqFNtg3pMW4Gfrmd7Uu6semFuctweYulJ3AcpiFcOF6DO08ddX9zW+byqkeVrGfxgFgyPNUQCe+wXASOWBhLKAZnhTwKO1/z0M7dkSkeEzeOSFURjpG4EYRPsDQFjiBcZPJL2yFcEyYXO8VtZNBmT1JAN25vjhSx1CGBIyQCN02oCifbbdVMi9+frIe4uMX86LtRW9Vss4cEoDlfhQs3SOR8jaUZgyOIBTJQV4jKz4Gv7xowOU/mBJcg/fADq7DzFweRah2Zv6ZG3kd9wDcm3DGIS/g4gBsVXsnFJx7LRFnW4iJ7xP2HLDhCEjy0IpDftMjZz8MPiC92xANyfukue39r+eHFjfAZyIIjCEKykAVHEIRkIYEjCEKykMARBCFZSOAIgpAsJHAEQUgWEjhCUvALMR6sQLsncnJnlgFq9NDetMT9hgSOkBTGv5uxcu06KLjNUFyF20qvpBgF71Sg8j+7MSzsDEn4IJQHRxAOGUPTr4pRi3k2ySGWLGTBEQQhWUjgCEkw2X4WRa8fwYFXKtDO7alKEAwSOML3GW3Emb/GI//N/dj+gBaNn1kveEksZygGR/g8uvNV0CTvQ/o/uP1a+5D62lHwOxNygwXVHQsfAX00Cc8/l2S1NyjF4HwdEjhCMvAbRuu2OdzAePGQwPk65KIS0mCqm9+jNXbTRg+JGyEFyIIjJIG5swoHaoGc4/sQ31ODWr9d2LO2m1zUZQ4JHCEJNKdzUTKVieqfR6PpZDOUL2VC4bZ/QgLn65DAEZLA3HcOR8/2wrwiGqq9+9zbd1PfivJ3r2AYZtyZMAkbGwfL8RDikPO2CtyG/YRvQAJHEIRkoUEGgiAkCwkcQRCShQSOIAjJQgJHEIRkIYEjCEKykMARBCFZSOAIgpAsJHAEQUgWEjiCICQLCRxBEJKFBI4gCIkC/D8pLJT8ODs6aQAAAABJRU5ErkJggg=="}}},{"cell_type":"code","source":"#Naive Bayes\nfrom sklearn.naive_bayes import MultinomialNB\n\nmodel1 = MultinomialNB(alpha=0.08)\n\nvectorize_model_pipeline1 = Pipeline([\n    ('count_vectorizer', count_vectorizer),\n    ('model', model1)])\nvectorize_model_pipeline1.fit(X_train, y_train)\npredictions1 = vectorize_model_pipeline1.predict(X_test)\n\nprint('Accuracy :', accuracy_score(y_test, predictions1))\nprint('F1 score :', f1_score(y_test, predictions1))","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# [**Logistic Regression**](http://excessive-source-1c9.notion.site/16-09-2021-H-i-quy-Logistics-cdcc911147e5458ba9203b58e6bd0099#dd32774a49cc44ac81c61578b831ad47)","metadata":{}},{"cell_type":"code","source":"#Logistic Regression\nfrom sklearn.linear_model import LogisticRegression\n\nmodel2 = LogisticRegression(n_jobs=10, solver='saga', class_weight = 'balanced', C=0.1, verbose=1)\n\nvectorize_model_pipeline2 = Pipeline([\n    ('count_vectorizer', count_vectorizer),\n    ('model', model2)])\nvectorize_model_pipeline2.fit(X_train, y_train)\npredictions2 = vectorize_model_pipeline2.predict(X_test)\n\nprint('Accuracy :', accuracy_score(y_test, predictions2))\nprint('F1 score :', f1_score(y_test, predictions2))","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# **XGBoost**\n\n* XGBoost là viết tắt của Extreme Gradient Boosting. Đây là thuật toán state-of-the-art nhằm giải quyết bài toán supervised learning cho độ chính xác khá cao bên cạnh mô hình Deep learning như chúng ta từng tìm hiểu.\n* Được base trên gradient boosting, tuy nhiên kèm theo đó là những cải tiến to lớn về mặt tối ưu thuật toán, về sự kết hợp hoàn hảo giữa sức mạnh phần mềm và phần cứng, giúp đạt được những kết quả vượt trội cả về thời gian training cũng như bộ nhớ sử dụng.","metadata":{}},{"cell_type":"code","source":"#XGBoost\nfrom xgboost import XGBClassifier\n\nmodel3 = XGBClassifier()\n\nvectorize_model_pipeline3 = Pipeline([\n    ('count_vectorizer', count_vectorizer),\n    ('model', model3)])\nvectorize_model_pipeline3.fit(X_train, y_train)\npredictions3 = vectorize_model_pipeline3.predict(X_test)\n\nprint('Accuracy :', accuracy_score(y_test, predictions3))\nprint('F1 score :', f1_score(y_test, predictions3))","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# **5. Submission**","metadata":{}},{"cell_type":"code","source":"model_result = pd.DataFrame({\n    'Model': ['Naive Bayes','Logistic Regression','Xgboost'],\n    'F1 score': [f1_score(y_test, predictions1),\n              f1_score(y_test, predictions2),\n              f1_score(y_test, predictions3)]})\n\nmodel_result","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**Kết luận**\n\n* Nhìn chung các mô hình đơn giản như Naive Bayes, Logistic Regression và XGBoost đều hoạt động khá ổn trên tập dataset.\n* Cho ra kết quả tương đối khả quan. Tuy vậy, vẫn chưa thực sự đủ tốt cho việc phân loại câu hỏi, nên sử dụng một mô hình khác đối với bài toán này.\n* Mô hình Logistic Regression cho ra f1-score cao nhất nên ta sẽ dùng để submit.","metadata":{}},{"cell_type":"markdown","source":"**Sau khi train xong, chạy mô hình trên tập test và lưu lại để submit**","metadata":{}},{"cell_type":"code","source":"#Clean data trên tập test\ntest['question_text_cleaned'] = test.question_text.apply(lambda x: clean(x, True))","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test['prediction'] = vectorize_model_pipeline2.predict(test['question_text_cleaned'])","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"final_sub = test[['qid','prediction']]\nfinal_sub.set_index('qid', inplace=True)\nfinal_sub.head(10)","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"final_sub.to_csv('submission.csv')","metadata":{"trusted":true},"execution_count":null,"outputs":[]}]}