Jonas: some stuff
This commit is contained in:
Jonas Weinz
parent
42ac5d8d81
commit
9769375e17
@ -14,17 +14,21 @@
|
|||||||
"* Tutorial on Datacamp: https://www.datacamp.com/community/tutorials/scikit-learn-fake-news\n",
|
"* Tutorial on Datacamp: https://www.datacamp.com/community/tutorials/scikit-learn-fake-news\n",
|
||||||
"\n",
|
"\n",
|
||||||
"* liar dataset paper: https://www.cs.ucsb.edu/~william/papers/acl2017.pdf\n",
|
"* liar dataset paper: https://www.cs.ucsb.edu/~william/papers/acl2017.pdf\n",
|
||||||
" * dataset: https://www.cs.ucsb.edu/~william/data/liar_dataset.zip\n",
|
" * dataset: https://www.cs.ucsb.edu/~william/data/liar_dataset.zip"
|
||||||
"\n",
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "markdown",
|
||||||
|
"metadata": {},
|
||||||
|
"source": [
|
||||||
"## Dependencies for this Notebook:\n",
|
"## Dependencies for this Notebook:\n",
|
||||||
"* library [rdflib](https://github.com/RDFLib/rdflib)\n",
|
"* library [rdflib](https://github.com/RDFLib/rdflib)\n",
|
||||||
" * install: `pip3 install rdflib`\n",
|
" * install: `pip3 install rdflib`\n"
|
||||||
"* "
|
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 4,
|
"execution_count": 1,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
@ -41,7 +45,7 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 31,
|
"execution_count": 21,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
"source": [
|
"source": [
|
||||||
@ -49,9 +53,65 @@
|
|||||||
"import numpy as np\n",
|
"import numpy as np\n",
|
||||||
"import itertools\n",
|
"import itertools\n",
|
||||||
"import sklearn.utils as sku\n",
|
"import sklearn.utils as sku\n",
|
||||||
|
"from sklearn.feature_extraction.text import CountVectorizer, TfidfVectorizer, HashingVectorizer\n",
|
||||||
|
"from sklearn.model_selection import train_test_split\n",
|
||||||
|
"from sklearn.linear_model import PassiveAggressiveClassifier\n",
|
||||||
|
"from sklearn.naive_bayes import MultinomialNB\n",
|
||||||
|
"from sklearn import metrics\n",
|
||||||
|
"import matplotlib.pyplot as plt\n",
|
||||||
|
"from pprint import pprint as pp\n",
|
||||||
"import os"
|
"import os"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "markdown",
|
||||||
|
"metadata": {},
|
||||||
|
"source": [
|
||||||
|
"## Tools used later"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 37,
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"def plot_confusion_matrix(cm, classes,\n",
|
||||||
|
" title,\n",
|
||||||
|
" normalize=False,\n",
|
||||||
|
" cmap=plt.cm.Blues):\n",
|
||||||
|
" fig_1, ax_1 = plt.subplots()\n",
|
||||||
|
" \"\"\"\n",
|
||||||
|
" See full source and example: \n",
|
||||||
|
" http://scikit-learn.org/stable/auto_examples/model_selection/plot_confusion_matrix.html\n",
|
||||||
|
" \n",
|
||||||
|
" This function prints and plots the confusion matrix.\n",
|
||||||
|
" Normalization can be applied by setting `normalize=True`.\n",
|
||||||
|
" \"\"\"\n",
|
||||||
|
" plt.imshow(cm, interpolation='nearest', cmap=cmap)\n",
|
||||||
|
" plt.title('Confusion Matrix for: ' + title)\n",
|
||||||
|
" plt.colorbar()\n",
|
||||||
|
" tick_marks = np.arange(len(classes))\n",
|
||||||
|
" plt.xticks(tick_marks, classes, rotation=45)\n",
|
||||||
|
" plt.yticks(tick_marks, classes)\n",
|
||||||
|
"\n",
|
||||||
|
" if normalize:\n",
|
||||||
|
" cm = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis]\n",
|
||||||
|
" print(\"Normalized confusion matrix\")\n",
|
||||||
|
" else:\n",
|
||||||
|
" print('Confusion matrix, without normalization')\n",
|
||||||
|
"\n",
|
||||||
|
" thresh = cm.max() / 2.\n",
|
||||||
|
" for i, j in itertools.product(range(cm.shape[0]), range(cm.shape[1])):\n",
|
||||||
|
" plt.text(j, i, cm[i, j],\n",
|
||||||
|
" horizontalalignment=\"center\",\n",
|
||||||
|
" color=\"white\" if cm[i, j] > thresh else \"black\")\n",
|
||||||
|
"\n",
|
||||||
|
" plt.tight_layout()\n",
|
||||||
|
" plt.ylabel('True label')\n",
|
||||||
|
" plt.xlabel('Predicted label')"
|
||||||
|
]
|
||||||
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "markdown",
|
"cell_type": "markdown",
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
@ -63,7 +123,7 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 18,
|
"execution_count": 3,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
@ -103,37 +163,16 @@
|
|||||||
" UNZIPOPT: [none]\n",
|
" UNZIPOPT: [none]\n",
|
||||||
" ZIPINFO: [none]\n",
|
" ZIPINFO: [none]\n",
|
||||||
" ZIPINFOOPT: [none]\n",
|
" ZIPINFOOPT: [none]\n",
|
||||||
"Archive: liar_dataset.zip\n",
|
|
||||||
" inflating: README \n",
|
|
||||||
" inflating: test.tsv \n",
|
|
||||||
" inflating: train.tsv \n",
|
|
||||||
" inflating: valid.tsv \n",
|
|
||||||
"================================================================================\n",
|
"================================================================================\n",
|
||||||
"successfully finished action: downloading and unpacking https://www.cs.ucsb.edu/~william/data/liar_dataset.zip if not already existing\n",
|
"successfully finished action: downloading and unpacking https://www.cs.ucsb.edu/~william/data/liar_dataset.zip if not already existing\n",
|
||||||
"================================================================================\n",
|
"================================================================================\n",
|
||||||
"================================================================================\n",
|
"================================================================================\n",
|
||||||
"downloading and unpacking https://raw.githubusercontent.com/GeorgeMcIntire/fake_real_news_dataset/master/fake_or_real_news.csv.zip if not already existing\n",
|
"downloading and unpacking https://raw.githubusercontent.com/GeorgeMcIntire/fake_real_news_dataset/master/fake_or_real_news.csv.zip if not already existing\n",
|
||||||
"================================================================================\n",
|
"================================================================================\n",
|
||||||
"Archive: fake_or_real_news.csv.zip\n",
|
|
||||||
" inflating: fake_or_real_news.csv \n",
|
|
||||||
" creating: __MACOSX/\n",
|
|
||||||
" inflating: __MACOSX/._fake_or_real_news.csv \n",
|
|
||||||
"================================================================================\n",
|
"================================================================================\n",
|
||||||
"successfully finished action: downloading and unpacking https://raw.githubusercontent.com/GeorgeMcIntire/fake_real_news_dataset/master/fake_or_real_news.csv.zip if not already existing\n",
|
"successfully finished action: downloading and unpacking https://raw.githubusercontent.com/GeorgeMcIntire/fake_real_news_dataset/master/fake_or_real_news.csv.zip if not already existing\n",
|
||||||
"================================================================================\n"
|
"================================================================================\n"
|
||||||
]
|
]
|
||||||
},
|
|
||||||
{
|
|
||||||
"name": "stderr",
|
|
||||||
"output_type": "stream",
|
|
||||||
"text": [
|
|
||||||
" % Total % Received % Xferd Average Speed Time Time Time Current\n",
|
|
||||||
" Dload Upload Total Spent Left Speed\n",
|
|
||||||
"100 989k 100 989k 0 0 366k 0 0:00:02 0:00:02 --:--:-- 366k\n",
|
|
||||||
" % Total % Received % Xferd Average Speed Time Time Time Current\n",
|
|
||||||
" Dload Upload Total Spent Left Speed\n",
|
|
||||||
"100 11.3M 100 11.3M 0 0 2590k 0 0:00:04 0:00:04 --:--:-- 2751k\n"
|
|
||||||
]
|
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
"source": [
|
"source": [
|
||||||
@ -150,7 +189,7 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 36,
|
"execution_count": 4,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
"source": [
|
"source": [
|
||||||
@ -166,7 +205,7 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 37,
|
"execution_count": 5,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
@ -321,28 +360,274 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": null,
|
"execution_count": 6,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
"source": [
|
"source": [
|
||||||
"def create_test_dset(dset, cutoff=0.7):\n",
|
"def create_training_and_test_set(dset, cutoff=0.7):\n",
|
||||||
" shuffled = sku.shuffle(dset)\n",
|
" shuffled = sku.shuffle(dset) # shuffle dataset\n",
|
||||||
" y = shuffled.label\n",
|
" y = shuffled.label\n",
|
||||||
" df_1 = shuffled.drop('label', axis=1)\n",
|
" shuffled = shuffled.drop('label', axis=1)['text']\n",
|
||||||
|
" size = int(cutoff * shuffled.shape[0])\n",
|
||||||
|
" return shuffled[:size], y[:size], shuffled[size:], y[size:]\n",
|
||||||
" "
|
" "
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 7,
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"X,y, Xt,yt = create_training_and_test_set(df_1)"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 8,
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"#X2,y2, Xt2,yt2 = train_test_split(df_1['text'],df_1.label,test_size=0.3)"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 9,
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [
|
||||||
|
{
|
||||||
|
"data": {
|
||||||
|
"text/plain": [
|
||||||
|
"Unnamed: 0\n",
|
||||||
|
"5507 Anthony Weiner Sends Apology Sext To Entire Cl...\n",
|
||||||
|
"1440 John Kasich was killing it with these Iowa vot...\n",
|
||||||
|
"3172 Yeah, yeah, with the rise of Der Trumper and t...\n",
|
||||||
|
"6962 Vermont fights the opioid epidemic by limiting...\n",
|
||||||
|
"6970 — Adam Baldwin (@AdamBaldwin) October 28, 2016...\n",
|
||||||
|
"7209 Militias prepare for election unrest while Chr...\n",
|
||||||
|
"4781 Raleigh, North Carolina (CNN) As soon as the f...\n",
|
||||||
|
"6137 Yemen’s Hudaydah suffering from dire humanitar...\n",
|
||||||
|
"8799 Subscribe \\nIn politics, the Third Way is a po...\n",
|
||||||
|
"4374 Hanging in the balance is Obama’s vision of Am...\n",
|
||||||
|
"9465 Under the Surface - Naomi Klein and the Great ...\n",
|
||||||
|
"10409 October 28, 2016 at 9:00 PM \\nWhy would Putin ...\n",
|
||||||
|
"2822 HAMPTON, N.H. -- Hillary Rodham Clinton said F...\n",
|
||||||
|
"5190 (CNN) Donald Trump on Wednesday refused to say...\n",
|
||||||
|
"2286 Gay rights won't fade as a political issue. Th...\n",
|
||||||
|
"4308 Fox Business’s Tuesday night Republican debate...\n",
|
||||||
|
"7305 Yes, There Are Paid Government Trolls On Socia...\n",
|
||||||
|
"6716 Vladimir Putin: The United States continues to...\n",
|
||||||
|
"6871 By wmw_admin on October 31, 2016 Sanchez Manni...\n",
|
||||||
|
"8527 Banana Republic Election in the United States?...\n",
|
||||||
|
"3658 Why are Americans expected to die sooner than ...\n",
|
||||||
|
"9721 Comments \\nFamous techno musician Moby tore in...\n",
|
||||||
|
"10001 Behind the headlines - conspiracies, cover-ups...\n",
|
||||||
|
"8920 Massachusetts +11% New York +10% \\nWhen home p...\n",
|
||||||
|
"8488 Ivana Says Young Donald Trump Was A Cry-Baby –...\n",
|
||||||
|
"8474 Recipient Email => \\nEnemies of the United S...\n",
|
||||||
|
"5789 Theresa May refuses to withdraw support for Sa...\n",
|
||||||
|
"1324 Even as Hillary Clinton has stepped up her rhe...\n",
|
||||||
|
"1744 Sally Kohn is an activist, columnist and telev...\n",
|
||||||
|
"3887 George Washington was the first President of t...\n",
|
||||||
|
" ... \n",
|
||||||
|
"643 Is anyone qualified to judge The Donald?\\n\\nDo...\n",
|
||||||
|
"6795 [Graphic: Calais street scene by Harriet Paint...\n",
|
||||||
|
"10444 By wmw_admin on October 30, 2016 By Timothy Fi...\n",
|
||||||
|
"8696 Unprecedented Surge In Election Fraud Incident...\n",
|
||||||
|
"5103 The Democratic National Committee is offering ...\n",
|
||||||
|
"8018 Comments \\nFOX News star Megyn Kelly has final...\n",
|
||||||
|
"2896 President Obama sent a draft Authorization for...\n",
|
||||||
|
"9188 Heseltine strangled dog as part of Thatcher ca...\n",
|
||||||
|
"6 It's been a big week for abortion news.\\n\\nCar...\n",
|
||||||
|
"9778 20 Foods That Naturally Unclog Arteries and Pr...\n",
|
||||||
|
"10062 FBI Releases Files on Bill Clinton's Cash for ...\n",
|
||||||
|
"8556 NTEB Ads Privacy Policy Black Americans Going ...\n",
|
||||||
|
"9757 10-27-1 6 The first Bill and Hillary Clinton c...\n",
|
||||||
|
"2524 President Obama's executive action preventing ...\n",
|
||||||
|
"8995 Rights? In The New America You Don’t Get Any R...\n",
|
||||||
|
"8602 By Amanda Froelich For a long time, green juic...\n",
|
||||||
|
"2886 W hen trying to explain the current unrest in ...\n",
|
||||||
|
"3456 WASHINGTON, June 21 (Reuters) - Tensions are b...\n",
|
||||||
|
"6564 This is how it works in the Clinton Cabal...or...\n",
|
||||||
|
"8406 posted by Eddie Angelina Jolie’s father, Jon V...\n",
|
||||||
|
"1151 As the Democratic presidential contest reaches...\n",
|
||||||
|
"3233 With the Department of Homeland Security’s fun...\n",
|
||||||
|
"4601 Enough Is Enough\\n\\nIf we really want to do so...\n",
|
||||||
|
"305 Top Dems want White House to call off Part B d...\n",
|
||||||
|
"842 Texas Sen. Ted Cruz’s popularity among Republi...\n",
|
||||||
|
"7085 Email \\nNot all invasions are hot — not all in...\n",
|
||||||
|
"530 President Obama's 2016 budget seeks higher spe...\n",
|
||||||
|
"5766 \\nThe decision of FBI Director Comey to go p...\n",
|
||||||
|
"976 Republican presidential candidate Ted Cruz is ...\n",
|
||||||
|
"2241 The simmering dispute over media access to Hil...\n",
|
||||||
|
"Name: text, Length: 4434, dtype: object"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"execution_count": 9,
|
||||||
|
"metadata": {},
|
||||||
|
"output_type": "execute_result"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"source": [
|
||||||
|
"X"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 10,
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"count_vectorizer = CountVectorizer(stop_words='english')\n",
|
||||||
|
"count_train = count_vectorizer.fit_transform(X)\n",
|
||||||
|
"count_test = count_vectorizer.transform(Xt)"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 11,
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"tfidf_vectorizer = TfidfVectorizer(stop_words='english', max_df=0.7)\n",
|
||||||
|
"tfidf_train = tfidf_vectorizer.fit_transform(X)\n",
|
||||||
|
"tfidf_test = tfidf_vectorizer.transform(Xt)"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 12,
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [
|
||||||
|
{
|
||||||
|
"name": "stdout",
|
||||||
|
"output_type": "stream",
|
||||||
|
"text": [
|
||||||
|
"['00',\n",
|
||||||
|
" '000',\n",
|
||||||
|
" '0000',\n",
|
||||||
|
" '00000031',\n",
|
||||||
|
" '000035',\n",
|
||||||
|
" '00006',\n",
|
||||||
|
" '0001',\n",
|
||||||
|
" '0001pt',\n",
|
||||||
|
" '0002',\n",
|
||||||
|
" '000billion']\n",
|
||||||
|
"['حلب', 'عربي', 'عن', 'لم', 'ما', 'محاولات', 'من', 'هذا', 'والمرضى', 'ยงade']\n"
|
||||||
|
]
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"source": [
|
||||||
|
"pp(count_vectorizer.get_feature_names()[0:10])\n",
|
||||||
|
"pp(count_vectorizer.get_feature_names()[-10:])\n"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 13,
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [
|
||||||
|
{
|
||||||
|
"name": "stdout",
|
||||||
|
"output_type": "stream",
|
||||||
|
"text": [
|
||||||
|
"['00',\n",
|
||||||
|
" '000',\n",
|
||||||
|
" '0000',\n",
|
||||||
|
" '00000031',\n",
|
||||||
|
" '000035',\n",
|
||||||
|
" '00006',\n",
|
||||||
|
" '0001',\n",
|
||||||
|
" '0001pt',\n",
|
||||||
|
" '0002',\n",
|
||||||
|
" '000billion']\n",
|
||||||
|
"['حلب', 'عربي', 'عن', 'لم', 'ما', 'محاولات', 'من', 'هذا', 'والمرضى', 'ยงade']\n"
|
||||||
|
]
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"source": [
|
||||||
|
"pp(tfidf_vectorizer.get_feature_names()[:10])\n",
|
||||||
|
"pp(tfidf_vectorizer.get_feature_names()[-10:])"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 20,
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"#count_df = pd.DataFrame(count_train.A, columns=count_vectorizer.get_feature_names())\n",
|
||||||
|
"#tfidf_df = pd.DataFrame(count_train.A, columns=tfidf_vectorizer.get_feature_names())\n",
|
||||||
|
"#diff = set(count_df.columns) - set(tfidf_df.columns)\n",
|
||||||
|
"#pp(count_df.equals(tfidf_df))"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 38,
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [
|
||||||
|
{
|
||||||
|
"name": "stdout",
|
||||||
|
"output_type": "stream",
|
||||||
|
"text": [
|
||||||
|
"'score: 0.8527091004734351'\n"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"data": {
|
||||||
|
"application/vnd.jupyter.widget-view+json": {
|
||||||
|
"model_id": "074a58de5e904298a7c212800fdc812b",
|
||||||
|
"version_major": 2,
|
||||||
|
"version_minor": 0
|
||||||
|
},
|
||||||
|
"text/html": [
|
||||||
|
"<p>Failed to display Jupyter Widget of type <code>FigureCanvasNbAgg</code>.</p>\n",
|
||||||
|
"<p>\n",
|
||||||
|
" If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n",
|
||||||
|
" that the widgets JavaScript is still loading. If this message persists, it\n",
|
||||||
|
" likely means that the widgets JavaScript library is either not installed or\n",
|
||||||
|
" not enabled. See the <a href=\"https://ipywidgets.readthedocs.io/en/stable/user_install.html\">Jupyter\n",
|
||||||
|
" Widgets Documentation</a> for setup instructions.\n",
|
||||||
|
"</p>\n",
|
||||||
|
"<p>\n",
|
||||||
|
" If you're reading this message in another frontend (for example, a static\n",
|
||||||
|
" rendering on GitHub or <a href=\"https://nbviewer.jupyter.org/\">NBViewer</a>),\n",
|
||||||
|
" it may mean that your frontend doesn't currently support widgets.\n",
|
||||||
|
"</p>\n"
|
||||||
|
],
|
||||||
|
"text/plain": [
|
||||||
|
"FigureCanvasNbAgg()"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"metadata": {},
|
||||||
|
"output_type": "display_data"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "stdout",
|
||||||
|
"output_type": "stream",
|
||||||
|
"text": [
|
||||||
|
"Confusion matrix, without normalization\n"
|
||||||
|
]
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"source": [
|
||||||
|
"clf = MultinomialNB()\n",
|
||||||
|
"clf.fit(tfidf_train, y)\n",
|
||||||
|
"pred = clf.predict(tfidf_test)\n",
|
||||||
|
"score = metrics.accuracy_score(yt, pred)\n",
|
||||||
|
"pp(\"score: \" + str(score))\n",
|
||||||
|
"cm = metrics.confusion_matrix(yt, pred, labels=[\"FAKE\", \"REAL\"])\n",
|
||||||
|
"plot_confusion_matrix(cm, classes=[\"FAKE\", \"REAL\"], title= \"tfidf\")"
|
||||||
|
]
|
||||||
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": null,
|
"execution_count": null,
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
"source": [
|
"source": []
|
||||||
"cut = 0.7\n",
|
|
||||||
"\n",
|
|
||||||
"y = df_1.label\n",
|
|
||||||
"df_1 = df_1.drop('label', axis=1)\n"
|
|
||||||
]
|
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
"metadata": {
|
"metadata": {
|
||||||
|
|||||||
Loading…
Reference in New Issue
Block a user