From c72c3bf14a7f372b4d049e167be5d1319e686eda Mon Sep 17 00:00:00 2001 From: pnitto Date: Thu, 25 Jun 2015 07:32:42 -0400 Subject: [PATCH 1/2] Spam attempt --- .DS_Store | Bin 0 -> 6148 bytes Spam.ipynb | 1812 ++++++++++++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 1812 insertions(+) create mode 100644 .DS_Store create mode 100644 Spam.ipynb diff --git a/.DS_Store b/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..49bf5387d3fc9cbdbefdb210d05a33cc42c6b742 GIT binary patch literal 6148 zcmeHKyH3ME5S)b+K{P2TucSia4@~4BrJ#WyKp_-J4iVr;ljWfK(P!h1?)<@ zbGNtSv#0Rh0g(A_eGbe3OzDbv(=aw&S0C9yWE91oafJoWu)%uSjHZ@JSPkS?tH1~{qJYk0i8*MmyM2i>h-r^PQvKjE-l~0$xS9)41kP4&% zsX!|5j}>6gR+}C>W=sWAfmGm20sTJ|x?&aBIohv-L67gcK2cQT*zOX<67wpsbL0w5 zoJw@6#1%uF&U}fwDzI~OI>dJ7b7E(S8;aQO%oi(%RE`-_fmC3qz@blP+W!~yAMXD{ zQqEF=RNzl3Ad~v0p7WEUw~jtedu^fL(m##0R?aXu1aP9Q_++oH=$Lg?VCQIb=8aCw NgMjLimJ0la0v`^?CRP9d literal 0 HcmV?d00001 diff --git a/Spam.ipynb b/Spam.ipynb new file mode 100644 index 0000000..d9315de --- /dev/null +++ b/Spam.ipynb @@ -0,0 +1,1812 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 68, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "from sklearn.naive_bayes import MultinomialNB\n", + "from sklearn import linear_model\n", + "from sklearn.cross_validation import train_test_split \n", + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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"execution_count": 69, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "spam_train_x, spam_test_x = train_test_split(spam_data, test_size=.40)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "spam_train_y = spam_train_x[spam_train_x.columns[-1]]\n" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "spam_test_y = spam_test_x[spam_test_x.columns[-1]]" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "classifier = MultinomialNB()" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "MultinomialNB(alpha=1.0, class_prior=None, fit_prior=True)" + ] + }, + "execution_count": 73, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "classifier.fit(spam_train_x, spam_train_y)" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0.85434782608695647" + ] + }, + "execution_count": 75, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "classifier.score(spam_test_x, spam_test_y)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### I am not quite sure if this is correct. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.4.3" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} From 3311aa6814caae91f4f689d65e8d424e0fc1ad1c Mon Sep 17 00:00:00 2001 From: pnitto Date: Tue, 21 Jul 2015 20:46:42 -0400 Subject: [PATCH 2/2] Added mark down comments --- .DS_Store | Bin 6148 -> 6148 bytes .envrc | 1 + .gitignore | 1 + Spam.ipynb | 1563 +-------- spambase (1).zip | Bin 0 -> 125447 bytes spambase (1)/.DS_Store | Bin 0 -> 6148 bytes spambase (1)/spambase.DOCUMENTATION | 142 + spambase (1)/spambase.data | 4601 +++++++++++++++++++++++++++ spambase (1)/spambase.names | 90 + spambase.data | 4601 +++++++++++++++++++++++++++ spambase.data.csv | 4601 +++++++++++++++++++++++++++ 11 files changed, 14105 insertions(+), 1495 deletions(-) create mode 100644 .envrc create mode 100644 spambase (1).zip create mode 100644 spambase (1)/.DS_Store create mode 100644 spambase (1)/spambase.DOCUMENTATION create mode 100644 spambase (1)/spambase.data create mode 100644 spambase (1)/spambase.names create mode 100644 spambase.data create mode 100644 spambase.data.csv diff --git a/.DS_Store b/.DS_Store index 49bf5387d3fc9cbdbefdb210d05a33cc42c6b742..c4a921e0e3edd86984f00b986fc860fb87fb04ce 100644 GIT binary patch literal 6148 zcmeHKU279T6ur|%-J}(^en7#OeY8+QLYw9_jjhm!LTIE#ti;`JvSvn$rD;(=>DvSa~fqzW_es|NfgZFlwHfZ4ejSjpp^3ckkhWqfl zXVMUHU5o1UoZ1w~=m=L0N+`zLpU?|Rw!$I)59Y(g*%{L*Lse>$i!VhM8Jctgwl~ZX zJLt!p8O^ydi9@SYqyu_JPw5nxAIb5Pa}11oa*j2sQ3rF0k;|u*;T$}7VGZP%M?W=o z4>O1{a|h$h)6xiUANT$YpV#A`%JVvLQ)~U(YlcCbAF*xZ);<=kbFm3jfBgw;R+uHT%}RsFAoqquv^z?(YQ+KkAgD zcEgYNt191K;3tPQ`*x*OKL)kpHtM@U9C$$(Bqvsye>Hot+bygWmYw`cvA67Wi^bfs zvx>N9f3d7PONI6Aht1y0H*ep)|M2nC*KZI4Ca_INyQ%RUz9X=w35!K?%FAR}V43SR zcyn6d>tp;Z9;b^1>5ec*m&L+#ChmQJ*5e5oUJWdY^Lbn<)DOd&yHuk#gEa~m1ujAX z{ysQx#*)UqLiy=HA&&sS6sn~m=06O~aWs}R_7$Q9CKMH@s6rnxgrcL~(fvvq`wA7E zgg$%-eP^LhC_>&H`5oDvL`k73jRHo2VFhN@rOo^Q=JfObFv(mQ1&jj!l>#EQQQatG zN_uY{n;h@84*Ut6jr;W#N(u_S9m{~X;zhVLv^g9AOB(wMQ3Er71f&e6FbZ6#0)GH) Cr`c`* delta 65 zcmZoMXfc=|#>CJ*u~2NHo+2aD!~pBb1|lqz`B{oKi*X3DY;5?-w3(fQp9837vmnQJ V=E?jbhKvl8ZFr\n", + "
\n", "\n", " \n", " \n", @@ -62,16 +69,16 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -86,16 +93,16 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -110,16 +117,16 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -134,16 +141,16 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -158,16 +165,16 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -176,1498 +183,50 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - 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"8 0.030 0.000 0.244 0.081 0.000 1.729 43 749 1 \n", - "9 0.000 0.000 0.462 0.000 0.000 1.312 6 21 1 \n", - "10 0.044 0.000 0.663 0.000 0.000 1.243 11 184 1 \n", - "11 0.056 0.000 0.786 0.000 0.000 3.728 61 261 1 \n", - "12 0.000 0.000 0.000 0.000 0.000 2.083 7 25 1 \n", - "13 0.102 0.000 0.357 0.000 0.000 1.971 24 205 1 \n", - "14 0.063 0.000 0.572 0.063 0.000 5.659 55 249 1 \n", - "15 0.000 0.000 0.428 0.000 0.000 4.652 31 107 1 \n", - "16 0.000 0.000 1.975 0.370 0.000 35.461 95 461 1 \n", - "17 0.182 0.000 0.455 0.000 0.000 1.320 4 70 1 \n", - "18 0.275 0.000 0.055 0.496 0.000 3.509 91 186 1 \n", - "19 0.729 0.000 0.729 0.000 0.000 3.833 9 23 1 \n", - "20 0.101 0.016 0.250 0.046 0.059 2.569 66 2259 1 \n", - "21 0.404 0.000 0.809 0.000 0.000 4.857 12 34 1 \n", - "22 0.133 0.000 0.667 0.000 0.000 1.131 5 69 1 \n", - "23 0.196 0.000 0.392 0.196 0.000 5.466 22 82 1 \n", - "24 0.101 0.016 0.250 0.046 0.059 2.565 66 2258 1 \n", - "25 0.196 0.000 0.392 0.196 0.000 5.466 22 82 1 \n", - "26 0.000 0.000 0.368 0.000 0.000 2.611 12 47 1 \n", - "27 0.352 0.000 0.352 0.000 0.000 4.000 11 36 1 \n", - "28 0.459 0.000 0.091 0.000 0.000 2.687 66 129 1 \n", - "29 0.000 0.000 0.886 0.000 0.000 1.966 10 59 1 \n", - "... ... ... ... ... ... ... ... ... .. \n", - "4570 0.082 0.000 0.082 0.000 0.000 1.256 5 98 0 \n", - "4571 0.254 0.000 0.000 0.000 0.000 1.000 1 13 0 \n", - "4572 0.033 0.000 0.099 0.000 0.000 1.489 11 137 0 \n", - "4573 0.107 0.000 0.000 0.000 0.000 1.220 6 61 0 \n", - "4574 0.213 0.000 0.000 0.000 0.000 1.720 11 43 0 \n", - "4575 0.131 0.000 0.000 0.000 0.000 1.488 5 64 0 \n", - "4576 0.000 0.000 0.000 0.000 0.000 1.200 3 24 0 \n", - "4577 0.000 0.145 0.000 0.000 0.000 1.372 5 70 0 \n", - "4578 0.064 0.036 0.055 0.000 0.202 3.766 43 1789 0 \n", - "4579 0.000 0.000 0.000 0.000 0.000 1.571 5 11 0 \n", - "4580 0.091 0.000 0.091 0.000 0.000 1.586 4 46 0 \n", - "4581 0.000 0.000 0.000 0.000 0.000 1.266 3 19 0 \n", - "4582 0.000 0.406 0.000 0.000 0.000 1.666 13 70 0 \n", - "4583 0.082 0.000 0.041 0.000 0.000 1.500 7 123 0 \n", - "4584 0.625 0.000 0.000 0.000 0.000 1.375 4 11 0 \n", - "4585 0.112 0.000 0.000 0.000 0.056 1.793 21 174 0 \n", - "4586 0.125 0.000 0.000 0.125 0.000 1.272 4 28 0 \n", - "4587 0.000 0.000 0.000 0.000 0.000 1.111 2 10 0 \n", - "4588 0.000 0.000 0.000 0.000 0.000 1.000 1 22 0 \n", - "4589 0.185 0.000 0.000 0.000 0.092 2.468 11 79 0 \n", - "4590 0.000 0.000 0.000 0.000 0.000 1.000 1 8 0 \n", - "4591 0.111 0.000 0.000 0.000 0.000 1.285 4 27 0 \n", - "4592 0.000 0.000 1.052 0.000 0.000 1.000 1 6 0 \n", - "4593 0.630 0.000 0.000 0.000 0.000 1.727 5 19 0 \n", - "4594 0.000 0.000 0.000 0.000 0.000 1.000 1 24 0 \n", - "4595 0.232 0.000 0.000 0.000 0.000 1.142 3 88 0 \n", - "4596 0.000 0.000 0.353 0.000 0.000 1.555 4 14 0 \n", - "4597 0.718 0.000 0.000 0.000 0.000 1.404 6 118 0 \n", - "4598 0.057 0.000 0.000 0.000 0.000 1.147 5 78 0 \n", - "4599 0.000 0.000 0.125 0.000 0.000 1.250 5 40 0 \n", + " 0.41 0.42 0.778 0.43 0.44 3.756 61 278 1 \n", + "0 0.132 0 0.372 0.180 0.048 5.114 101 1028 1 \n", + "1 0.143 0 0.276 0.184 0.010 9.821 485 2259 1 \n", + "2 0.137 0 0.137 0.000 0.000 3.537 40 191 1 \n", + "3 0.135 0 0.135 0.000 0.000 3.537 40 191 1 \n", + "4 0.223 0 0.000 0.000 0.000 3.000 15 54 1 \n", "\n", - "[4600 rows x 58 columns]" + "[5 rows x 58 columns]" ] }, - "execution_count": 67, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "spam_data = pd.read_csv('spambase.data.csv')\n", - "spam_data" + "spam_data.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##Determining the test and training data from the original dataset\n", + "###60% of data is training and 40% is testing" ] }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 20, "metadata": { "collapsed": false }, @@ -1676,15 +235,29 @@ "spam_train_x, spam_test_x = train_test_split(spam_data, test_size=.40)\n" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##Training data" + ] + }, { "cell_type": "code", - "execution_count": 71, + "execution_count": 25, "metadata": { "collapsed": false }, "outputs": [], "source": [ - "spam_train_y = spam_train_x[spam_train_x.columns[-1]]\n" + "spam_train_y = spam_train_x[spam_train_x.columns[-1]]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##Testing data" ] }, { @@ -1757,7 +330,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### I am not quite sure if this is correct. " + "### The spam detector seems to be accurate. 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