0004 Performance Evaluation/04.3 Classification of  ind-aag-mixed packets for UNSW Dataset.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###  importing relevant libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "from numpy import array\n",
    "from random import random\n",
    "from sklearn import metrics\n",
    "from sklearn.discriminant_analysis import QuadraticDiscriminantAnalysis as QDA\n",
    "from sklearn.ensemble import ExtraTreesClassifier\n",
    "from sklearn.ensemble import GradientBoostingClassifier\n",
    "from sklearn.ensemble import RandomForestClassifier, AdaBoostClassifier\n",
    "from sklearn.ensemble import BaggingClassifier\n",
    "from sklearn.ensemble import ExtraTreesClassifier\n",
    "from sklearn.metrics import accuracy_score\n",
    "from sklearn.metrics import average_precision_score\n",
    "from sklearn.metrics import balanced_accuracy_score\n",
    "from sklearn.metrics import classification_report\n",
    "from sklearn.metrics import confusion_matrix\n",
    "from sklearn.model_selection import RandomizedSearchCV\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.naive_bayes import BernoulliNB#57\n",
    "from sklearn.naive_bayes import GaussianNB#52\n",
    "from sklearn.naive_bayes import MultinomialNB#56\n",
    "from sklearn.naive_bayes import CategoricalNB\n",
    "\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.neural_network import MLPClassifier\n",
    "from sklearn.preprocessing import Normalizer\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.utils import shuffle\n",
    "from collections import Counter\n",
    "import csv\n",
    "import math\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import os\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import sklearn\n",
    "import time\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Discovering Labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def target_name(name):\n",
    "    df = pd.read_csv(name,usecols=[\"Label\"])\n",
    "    target_names=sorted(list(df[\"Label\"].unique()))\n",
    "    return target_names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def folder(f_name): #this function creates a folder.\n",
    "    try:\n",
    "        if not os.path.exists(f_name):\n",
    "            os.makedirs(f_name)\n",
    "    except OSError:\n",
    "        print (\"Tthe folder could not be created!\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def find_the_way(path,file_format):\n",
    "    files_add = []\n",
    "    # r=root, d=directories, f = files\n",
    "    for r, d, f in os.walk(path):\n",
    "        for file in f:\n",
    "            if file_format in file:\n",
    "                files_add.append(os.path.join(r, file))  \n",
    "    return files_add"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Hyperparameters of machine learning algorithm."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "ml_list={\"NB\":CategoricalNB(alpha=1e-09),\n",
    "\"DT\" :DecisionTreeClassifier(criterion='entropy', max_depth=28.0,\n",
    "                       max_features=16,min_samples_split= 7),  \n",
    "\"RF\":RandomForestClassifier(bootstrap= False, criterion= \"entropy\", max_depth= 29.0, max_features= 7, min_samples_split= 9, n_estimators= 80)}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Aggregation Algorithm notmal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "altime=0\n",
    "#def most_frequent(List): \n",
    "#    return max(set(List), key = List.count) \n",
    "\n",
    "\n",
    " \n",
    "def most_frequent(List):\n",
    "    occurence_count = Counter(List)\n",
    "    occurence_count={k: v for k, v in sorted(occurence_count.items(), key=lambda item: item[1],reverse=True)}\n",
    "    big=list(occurence_count.values())\n",
    "    big=big.count(big[0])\n",
    "    return list(occurence_count.keys())[np.random.randint(big)]\n",
    "\n",
    "\n",
    "def split(a, n):\n",
    "    k, m = divmod(len(a), n)\n",
    "    return (a[i * k + min(i, m):(i + 1) * k + min(i + 1, m)] for i in range(n))\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "def create_exception(df): \n",
    "    exception_list=[]\n",
    "    dominant_mac=[]\n",
    "    for i in df['aggregated'].unique():\n",
    "        k=df[df['aggregated']==i]\n",
    "        for ii in ['MAC']:\n",
    "            hist = {}\n",
    "            for x in k[ii].values:\n",
    "                hist[x] = hist.get(x, 0) + 1\n",
    "            hist=dict(sorted(hist.items(), key=lambda item: item[1],reverse=True))\n",
    "            temp=next(iter(hist))\n",
    "            if temp not in dominant_mac:\n",
    "                dominant_mac.append(temp)\n",
    "            else:\n",
    "                exception_list.append(temp)\n",
    "    return exception_list\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "def merged(m_test,predict,step,mixed):\n",
    "    second=time.time()\n",
    "    mac_test=[]\n",
    "    for q in m_test.index:\n",
    "        mac_test.append(m_test[q])\n",
    "\n",
    "    d_list=sorted(list(m_test.unique()))\n",
    "    devices={}\n",
    "    for q in d_list:\n",
    "        devices[q]=[]    \n",
    "\n",
    "\n",
    "    new_y=[0]*len(m_test)\n",
    "\n",
    "    for q,qq in enumerate (mac_test):\n",
    "        devices[qq].append(q)\n",
    "    for q in devices:\n",
    "        a = [devices[q][j:j + step] for j in range(0, len(devices[q]), step)]  \n",
    "        for qq in a:\n",
    "            step_list=[]\n",
    "            for qqq in qq:\n",
    "                step_list.append(predict[qqq])\n",
    "            add=most_frequent(list(step_list))\n",
    "            for qqq in qq:\n",
    "                new_y[qqq]=add\n",
    "    results=pd.DataFrame(m_test)\n",
    "    results[\"aggregated\"]=new_y # Only aggregated results\n",
    "    results[\"normal\"]=predict\n",
    "    \n",
    "    #MIXED METHOD\n",
    "    if mixed:\n",
    "        exception=create_exception(results)\n",
    "        for q in exception:\n",
    "            results.loc[results.MAC == q, 'aggregated'] = results['normal']\n",
    "\n",
    "    return results[\"aggregated\"].values,time.time()-second\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Calculation of evaluations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def score(altime,train_time,test_time,predict,y_test,class_based_results,i,cv,dname,ii):\n",
    "    precision=[]\n",
    "    recall=[]\n",
    "    f1=[]\n",
    "    accuracy=[]\n",
    "    total_time=[]\n",
    "    kappa=[]\n",
    "    accuracy_b=[]\n",
    "    \n",
    "    rc=sklearn.metrics.recall_score(y_test, predict,average= \"macro\")\n",
    "    pr=sklearn.metrics.precision_score(y_test, predict,average= \"macro\")\n",
    "    f_1=sklearn.metrics.f1_score(y_test, predict,average= \"macro\")        \n",
    "    report = classification_report(y_test, predict, target_names=target_names,output_dict=True)\n",
    "    cr = pd.DataFrame(report).transpose()\n",
    "    if class_based_results.empty:\n",
    "        class_based_results =cr\n",
    "    else:\n",
    "        class_based_results = class_based_results.add(cr, fill_value=0)\n",
    "    precision.append(float(pr))\n",
    "    recall.append(float(rc))\n",
    "    f1.append(float(f_1))\n",
    "    accuracy_b.append(balanced_accuracy_score( y_test,predict))\n",
    "    accuracy.append(accuracy_score(y_test, predict))\n",
    "\n",
    "    kappa.append(round(float(sklearn.metrics.cohen_kappa_score(y_test, predict, \n",
    "    labels=None, weights=None, sample_weight=None)),15))\n",
    "    print ('%-15s %-3s %-3s %-6s  %-5s %-5s %-5s %-5s %-8s %-5s %-8s %-8s%-8s%-8s' % (dname,i,cv,ii[0:6],str(round(np.mean(accuracy),2)),str(round(np.mean(accuracy_b),2)),\n",
    "        str(round(np.mean(precision),2)), str(round(np.mean(recall),2)),str(round(np.mean(f1),4)), \n",
    "        str(round(np.mean(kappa),2)),str(round(np.mean(train_time),2)),str(round(np.mean(test_time),2)),str(round(np.mean(test_time)+np.mean(train_time),2)),str(round(np.mean(altime),2))))\n",
    "    lines=(str(dname)+\",\"+str(i)+\",\"+str(cv)+\",\"+str(ii)+\",\"+str(round(np.mean(accuracy),15))+\",\"+str(round(np.mean(accuracy_b),15))+\",\"+str(round(np.mean(precision),15))+\",\"+ str(round(np.mean(recall),15))+\",\"+str(round(np.mean(f1),15))+\",\"+str(round(np.mean(kappa),15))+\",\"+str(round(np.mean(train_time),15))+\",\"+str(round(np.mean(test_time),15))+\",\"+str(altime)+\"\\n\")\n",
    "    return lines,class_based_results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def ML(loop1,loop2,output_csv,cols,step,mixed,dname):\n",
    "\n",
    "    ths = open(output_csv, \"w\")\n",
    "    ths.write(\"Dataset,T,CV,ML algorithm,Acc,b_Acc,Precision, Recall , F1-score, kappa ,tra-Time,test-Time,Al-Time\\n\")\n",
    "    \n",
    "\n",
    "    from sklearn.metrics import balanced_accuracy_score\n",
    "    from sklearn.preprocessing import Normalizer\n",
    "    \n",
    "    for ii in ml_list:\n",
    "        print ('%-15s %-3s %-3s %-6s  %-5s %-5s %-5s %-5s %-8s %-5s %-8s %-8s%-8s%-8s'%\n",
    "               (\"Dataset\",\"T\",\"CV\",\"ML alg\",\"Acc\",\"b_Acc\",\"Prec\", \"Rec\" , \"F1\", \"kap\" ,\"tra-T\",\"test-T\",\"total\",\"al-time\"))\n",
    "        class_based_results=pd.DataFrame()#\"\" #pd.DataFrame(0, index=np.arange((len(target_names)+3)), columns=[\"f1-score\",\"precision\",\"recall\",\"support\"])\n",
    "        cm=pd.DataFrame()\n",
    "        cv=0\n",
    "        if ii in [\"GB\",\"SVM\"]: #for slow algorithms.\n",
    "            repetition=10 \n",
    "        else:\n",
    "            repetition=100\n",
    "\n",
    "        for i in range(repetition):\n",
    "\n",
    "\n",
    "\n",
    "            #TRAIN\n",
    "            df = pd.read_csv(loop1,usecols=cols)\n",
    "\n",
    "            m_train=df[\"MAC\"]\n",
    "            del df[\"MAC\"]\n",
    "            X_train =df[df.columns[0:-1]]\n",
    "            X_train=np.array(X_train)\n",
    "            df[df.columns[-1]] = df[df.columns[-1]].astype('category')\n",
    "            y_train=df[df.columns[-1]].cat.codes  \n",
    "\n",
    "            #TEST\n",
    "            df = pd.read_csv(loop2,usecols=cols)\n",
    "  \n",
    "            df = shuffle(df, random_state=42)\n",
    "            m_test=df[\"MAC\"]\n",
    "            del df[\"MAC\"]\n",
    "            X_test =df[df.columns[0:-1]]\n",
    "            X_test=np.array(X_test)\n",
    "            df[df.columns[-1]] = df[df.columns[-1]].astype('category')\n",
    "            y_test=df[df.columns[-1]].cat.codes\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "            results_y=[]\n",
    "            cv+=1\n",
    "            results_y.append(y_test)\n",
    "\n",
    "\n",
    "     \n",
    "   \n",
    "\n",
    "            #machine learning algorithm is applied in this section\n",
    "            clf = ml_list[ii]#choose algorithm from ml_list dictionary\n",
    "            second=time.time()\n",
    "            clf.fit(X_train, y_train)\n",
    "            train_time=(float((time.time()-second)) )\n",
    "            second=time.time()\n",
    "            predict =clf.predict(X_test)\n",
    "            test_time=(float((time.time()-second)) )\n",
    "            if step==1:\n",
    "                altime=0\n",
    "                lines,class_based_results=score(altime,train_time,test_time,predict,y_test,class_based_results,i,cv,dname,ii)\n",
    "            else:\n",
    "                predict,altime=merged(m_test,predict,step,mixed)\n",
    "                lines,class_based_results=score(altime,train_time,test_time,predict,y_test,class_based_results,i,cv,dname,ii)\n",
    "            ths.write (lines)\n",
    "\n",
    "\n",
    "            df_cm = pd.DataFrame(confusion_matrix(y_test, predict))\n",
    "            if cm.empty:\n",
    "                cm =df_cm\n",
    "            else:\n",
    "                cm = cm.add(df_cm, fill_value=0)\n",
    "            \n",
    "        class_based_results=class_based_results/repetition\n",
    "        print(class_based_results)\n",
    "        class_based_results.to_csv(\"class_based_results.csv\")\n",
    "        if True :\n",
    "            cm=cm//repetition\n",
    "            graph_name=output_csv+ii+\"_confusion matrix.pdf\"   \n",
    "            plt.figure(figsize = (40,28))\n",
    "            sns.heatmap(cm,xticklabels=target_names, yticklabels=target_names, annot=True, fmt='g')\n",
    "            plt.savefig(graph_name,bbox_inches='tight')#, dpi=400)\n",
    "            plt.show()\n",
    "            #print(cm)\n",
    "            print(\"\\n\\n\\n\")             \n",
    "\n",
    "\n",
    "            \n",
    "            \n",
    "            \n",
    "            \n",
    "            \n",
    "            \n",
    "            \n",
    "\n",
    "\n",
    "    ths.close()  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Machine learning applications "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Aalto Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "ml_list={\"DT\" :DecisionTreeClassifier(criterion='entropy', max_depth=28.0,\n",
    "                       max_features=16,min_samples_split= 7)}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "feature= ['pck_size', 'Ether_type', 'LLC_ctrl', 'EAPOL_version', 'EAPOL_type', 'IP_ihl', 'IP_tos', 'IP_len', 'IP_flags', 'IP_DF', 'IP_ttl', 'IP_options', 'ICMP_code', 'TCP_dataofs', 'TCP_FIN', 'TCP_ACK', 'TCP_window', 'UDP_len', 'DHCP_options', 'BOOTP_hlen', 'BOOTP_flags', 'BOOTP_sname', 'BOOTP_file', 'BOOTP_options', 'DNS_qr', 'DNS_rd', 'DNS_qdcount', 'dport_class', 'payload_bytes', 'entropy',\n",
    "\"MAC\",\n",
    "'Label']\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Normal Results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset         T   CV  ML alg  Acc   b_Acc Prec  Rec   F1       kap   tra-T    test-T  total   al-time \n",
      "UNSW_1          0   1   DT      0.86  0.82  0.87  0.82  0.8281   0.85  0.56     0.02    0.58    0.0     \n",
      "UNSW_1          1   2   DT      0.86  0.82  0.87  0.82  0.8311   0.85  0.81     0.03    0.84    0.0     \n",
      "UNSW_1          2   3   DT      0.86  0.82  0.88  0.82  0.8302   0.85  0.67     0.03    0.7     0.0     \n",
      "UNSW_1          3   4   DT      0.86  0.82  0.88  0.82  0.8325   0.85  0.66     0.03    0.68    0.0     \n",
      "UNSW_1          4   5   DT      0.86  0.82  0.87  0.82  0.8326   0.85  0.64     0.03    0.67    0.0     \n",
      "UNSW_1          5   6   DT      0.86  0.82  0.88  0.82  0.8325   0.85  0.56     0.02    0.58    0.0     \n",
      "UNSW_1          6   7   DT      0.85  0.82  0.87  0.82  0.8257   0.84  0.79     0.03    0.81    0.0     \n",
      "UNSW_1          7   8   DT      0.87  0.84  0.89  0.84  0.852    0.87  0.53     0.02    0.56    0.0     \n",
      "UNSW_1          8   9   DT      0.86  0.82  0.87  0.82  0.8257   0.85  0.54     0.02    0.57    0.0     \n",
      "UNSW_1          9   10  DT      0.85  0.82  0.87  0.82  0.8263   0.85  0.63     0.03    0.65    0.0     \n",
      "UNSW_1          10  11  DT      0.86  0.82  0.88  0.82  0.8321   0.85  0.55     0.02    0.57    0.0     \n",
      "UNSW_1          11  12  DT      0.86  0.82  0.87  0.82  0.8268   0.85  0.51     0.02    0.53    0.0     \n",
      "UNSW_1          12  13  DT      0.85  0.82  0.88  0.82  0.8292   0.85  0.76     0.02    0.78    0.0     \n",
      "UNSW_1          13  14  DT      0.85  0.82  0.87  0.82  0.8254   0.85  1.38     0.02    1.41    0.0     \n",
      "UNSW_1          14  15  DT      0.86  0.82  0.88  0.82  0.8297   0.85  0.55     0.02    0.58    0.0     \n",
      "UNSW_1          15  16  DT      0.85  0.82  0.87  0.82  0.8263   0.84  0.61     0.02    0.63    0.0     \n",
      "UNSW_1          16  17  DT      0.85  0.82  0.87  0.82  0.8302   0.85  0.72     0.03    0.75    0.0     \n",
      "UNSW_1          17  18  DT      0.85  0.82  0.87  0.82  0.8292   0.85  0.66     0.02    0.68    0.0     \n",
      "UNSW_1          18  19  DT      0.86  0.82  0.88  0.82  0.8307   0.85  0.63     0.02    0.65    0.0     \n",
      "UNSW_1          19  20  DT      0.86  0.82  0.87  0.82  0.8285   0.85  0.87     0.03    0.91    0.0     \n",
      "UNSW_1          20  21  DT      0.86  0.82  0.87  0.82  0.8273   0.85  0.79     0.03    0.82    0.0     \n",
      "UNSW_1          21  22  DT      0.86  0.82  0.87  0.82  0.8271   0.85  0.62     0.02    0.64    0.0     \n",
      "UNSW_1          22  23  DT      0.86  0.82  0.87  0.82  0.8298   0.85  0.58     0.02    0.6     0.0     \n",
      "UNSW_1          23  24  DT      0.85  0.82  0.87  0.82  0.8287   0.84  0.53     0.03    0.56    0.0     \n",
      "UNSW_1          24  25  DT      0.86  0.82  0.88  0.82  0.8336   0.85  0.59     0.02    0.61    0.0     \n",
      "UNSW_1          25  26  DT      0.86  0.82  0.87  0.82  0.8296   0.85  0.61     0.02    0.63    0.0     \n",
      "UNSW_1          26  27  DT      0.87  0.84  0.88  0.84  0.8444   0.87  0.6      0.02    0.62    0.0     \n",
      "UNSW_1          27  28  DT      0.86  0.82  0.87  0.82  0.8298   0.85  0.84     0.03    0.86    0.0     \n",
      "UNSW_1          28  29  DT      0.86  0.82  0.87  0.82  0.8266   0.85  0.71     0.02    0.73    0.0     \n",
      "UNSW_1          29  30  DT      0.86  0.82  0.88  0.82  0.8346   0.85  0.54     0.02    0.56    0.0     \n",
      "UNSW_1          30  31  DT      0.86  0.82  0.87  0.82  0.8303   0.85  1.13     0.03    1.16    0.0     \n",
      "UNSW_1          31  32  DT      0.85  0.82  0.88  0.82  0.8321   0.85  0.6      0.02    0.63    0.0     \n",
      "UNSW_1          32  33  DT      0.85  0.82  0.87  0.82  0.8251   0.84  0.56     0.04    0.6     0.0     \n",
      "UNSW_1          33  34  DT      0.85  0.82  0.88  0.82  0.832    0.85  0.98     0.02    1.0     0.0     \n",
      "UNSW_1          34  35  DT      0.86  0.82  0.87  0.82  0.8279   0.85  0.7      0.03    0.73    0.0     \n",
      "UNSW_1          35  36  DT      0.86  0.82  0.88  0.82  0.8306   0.85  0.75     0.02    0.77    0.0     \n",
      "UNSW_1          36  37  DT      0.86  0.82  0.87  0.82  0.825    0.85  0.66     0.02    0.68    0.0     \n",
      "UNSW_1          37  38  DT      0.86  0.82  0.87  0.82  0.8278   0.85  0.62     0.03    0.65    0.0     \n",
      "UNSW_1          38  39  DT      0.86  0.82  0.87  0.82  0.8274   0.85  0.59     0.04    0.64    0.0     \n",
      "UNSW_1          39  40  DT      0.86  0.83  0.88  0.83  0.8393   0.86  1.2      0.04    1.24    0.0     \n",
      "UNSW_1          40  41  DT      0.86  0.82  0.88  0.82  0.8309   0.85  0.54     0.02    0.57    0.0     \n",
      "UNSW_1          41  42  DT      0.86  0.82  0.87  0.82  0.8286   0.85  0.73     0.02    0.75    0.0     \n",
      "UNSW_1          42  43  DT      0.86  0.83  0.87  0.83  0.8317   0.85  0.7      0.03    0.72    0.0     \n",
      "UNSW_1          43  44  DT      0.86  0.82  0.87  0.82  0.8296   0.85  0.67     0.02    0.69    0.0     \n",
      "UNSW_1          44  45  DT      0.86  0.82  0.86  0.82  0.823    0.85  0.82     0.03    0.84    0.0     \n",
      "UNSW_1          45  46  DT      0.85  0.82  0.87  0.82  0.8266   0.84  0.59     0.03    0.61    0.0     \n",
      "UNSW_1          46  47  DT      0.86  0.82  0.88  0.82  0.8346   0.85  0.61     0.03    0.64    0.0     \n",
      "UNSW_1          47  48  DT      0.86  0.82  0.87  0.82  0.8315   0.85  1.11     0.04    1.14    0.0     \n",
      "UNSW_1          48  49  DT      0.85  0.82  0.87  0.82  0.8224   0.84  0.63     0.03    0.66    0.0     \n",
      "UNSW_1          49  50  DT      0.86  0.82  0.88  0.82  0.8325   0.85  0.85     0.04    0.89    0.0     \n",
      "UNSW_1          50  51  DT      0.86  0.82  0.88  0.82  0.8361   0.85  0.59     0.02    0.62    0.0     \n",
      "UNSW_1          51  52  DT      0.86  0.82  0.87  0.82  0.8271   0.85  0.63     0.03    0.66    0.0     \n",
      "UNSW_1          52  53  DT      0.85  0.82  0.86  0.82  0.8262   0.85  0.62     0.02    0.65    0.0     \n",
      "UNSW_1          53  54  DT      0.86  0.82  0.87  0.82  0.8271   0.85  0.7      0.02    0.73    0.0     \n",
      "UNSW_1          54  55  DT      0.85  0.82  0.87  0.82  0.8292   0.84  0.6      0.02    0.62    0.0     \n",
      "UNSW_1          55  56  DT      0.86  0.82  0.87  0.82  0.8289   0.85  0.88     0.03    0.91    0.0     \n",
      "UNSW_1          56  57  DT      0.86  0.83  0.87  0.83  0.8352   0.86  0.53     0.02    0.55    0.0     \n",
      "UNSW_1          57  58  DT      0.86  0.82  0.87  0.82  0.8303   0.85  0.63     0.02    0.66    0.0     \n",
      "UNSW_1          58  59  DT      0.85  0.82  0.87  0.82  0.8256   0.84  0.51     0.03    0.54    0.0     \n",
      "UNSW_1          59  60  DT      0.86  0.82  0.87  0.82  0.8292   0.85  0.69     0.02    0.72    0.0     \n",
      "UNSW_1          60  61  DT      0.88  0.84  0.88  0.84  0.8507   0.87  0.62     0.03    0.64    0.0     \n",
      "UNSW_1          61  62  DT      0.86  0.82  0.87  0.82  0.8288   0.85  0.59     0.02    0.61    0.0     \n",
      "UNSW_1          62  63  DT      0.85  0.82  0.87  0.82  0.8307   0.84  0.8      0.03    0.82    0.0     \n",
      "UNSW_1          63  64  DT      0.86  0.82  0.87  0.82  0.8269   0.85  0.6      0.02    0.62    0.0     \n",
      "UNSW_1          64  65  DT      0.85  0.82  0.87  0.82  0.8225   0.84  0.52     0.02    0.53    0.0     \n",
      "UNSW_1          65  66  DT      0.86  0.82  0.87  0.82  0.8277   0.85  0.59     0.02    0.61    0.0     \n",
      "UNSW_1          66  67  DT      0.85  0.82  0.87  0.82  0.825    0.84  1.52     0.02    1.54    0.0     \n",
      "UNSW_1          67  68  DT      0.86  0.82  0.87  0.82  0.8271   0.85  0.6      0.02    0.62    0.0     \n",
      "UNSW_1          68  69  DT      0.86  0.82  0.88  0.82  0.8342   0.85  0.7      0.03    0.73    0.0     \n",
      "UNSW_1          69  70  DT      0.86  0.82  0.87  0.82  0.8293   0.85  0.56     0.03    0.59    0.0     \n",
      "UNSW_1          70  71  DT      0.86  0.82  0.88  0.82  0.836    0.85  0.81     0.04    0.85    0.0     \n",
      "UNSW_1          71  72  DT      0.86  0.82  0.87  0.82  0.8316   0.85  0.69     0.02    0.71    0.0     \n",
      "UNSW_1          72  73  DT      0.86  0.82  0.88  0.82  0.8322   0.85  0.64     0.02    0.66    0.0     \n",
      "UNSW_1          73  74  DT      0.86  0.82  0.88  0.82  0.8324   0.85  0.6      0.02    0.62    0.0     \n",
      "UNSW_1          74  75  DT      0.86  0.82  0.87  0.82  0.8311   0.85  0.52     0.02    0.55    0.0     \n",
      "UNSW_1          75  76  DT      0.86  0.82  0.87  0.82  0.8286   0.85  0.62     0.02    0.64    0.0     \n",
      "UNSW_1          76  77  DT      0.86  0.83  0.87  0.83  0.8338   0.85  0.53     0.02    0.55    0.0     \n",
      "UNSW_1          77  78  DT      0.85  0.82  0.87  0.82  0.8241   0.84  0.58     0.02    0.6     0.0     \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "UNSW_1          78  79  DT      0.86  0.82  0.87  0.82  0.8308   0.85  0.62     0.02    0.64    0.0     \n",
      "UNSW_1          79  80  DT      0.86  0.82  0.87  0.82  0.8276   0.85  0.61     0.02    0.64    0.0     \n",
      "UNSW_1          80  81  DT      0.87  0.83  0.89  0.83  0.844    0.86  0.53     0.02    0.55    0.0     \n",
      "UNSW_1          81  82  DT      0.86  0.82  0.87  0.82  0.8306   0.85  0.63     0.02    0.65    0.0     \n",
      "UNSW_1          82  83  DT      0.86  0.82  0.86  0.82  0.8219   0.85  0.71     0.02    0.73    0.0     \n",
      "UNSW_1          83  84  DT      0.86  0.82  0.88  0.82  0.8308   0.85  0.6      0.02    0.63    0.0     \n",
      "UNSW_1          84  85  DT      0.87  0.83  0.88  0.83  0.8391   0.86  0.62     0.05    0.67    0.0     \n",
      "UNSW_1          85  86  DT      0.86  0.82  0.88  0.82  0.8328   0.85  0.64     0.02    0.67    0.0     \n",
      "UNSW_1          86  87  DT      0.86  0.82  0.88  0.82  0.833    0.85  0.81     0.03    0.84    0.0     \n",
      "UNSW_1          87  88  DT      0.85  0.82  0.88  0.82  0.8307   0.84  0.79     0.02    0.81    0.0     \n",
      "UNSW_1          88  89  DT      0.85  0.82  0.88  0.82  0.8292   0.85  0.62     0.02    0.64    0.0     \n",
      "UNSW_1          89  90  DT      0.87  0.84  0.89  0.84  0.8477   0.86  0.96     0.08    1.04    0.0     \n",
      "UNSW_1          90  91  DT      0.86  0.82  0.88  0.82  0.8316   0.85  0.64     0.02    0.67    0.0     \n",
      "UNSW_1          91  92  DT      0.86  0.82  0.87  0.82  0.8279   0.85  0.64     0.02    0.66    0.0     \n",
      "UNSW_1          92  93  DT      0.86  0.82  0.87  0.82  0.8301   0.85  0.61     0.02    0.63    0.0     \n",
      "UNSW_1          93  94  DT      0.86  0.82  0.87  0.82  0.8278   0.85  0.65     0.02    0.68    0.0     \n",
      "UNSW_1          94  95  DT      0.85  0.82  0.87  0.82  0.8246   0.84  0.6      0.02    0.62    0.0     \n",
      "UNSW_1          95  96  DT      0.86  0.82  0.87  0.82  0.825    0.85  1.05     0.04    1.09    0.0     \n",
      "UNSW_1          96  97  DT      0.86  0.82  0.88  0.82  0.8312   0.85  0.89     0.02    0.92    0.0     \n",
      "UNSW_1          97  98  DT      0.86  0.82  0.87  0.82  0.831    0.85  0.66     0.03    0.68    0.0     \n",
      "UNSW_1          98  99  DT      0.86  0.83  0.87  0.83  0.8326   0.85  0.52     0.02    0.54    0.0     \n",
      "UNSW_1          99  100 DT      0.86  0.82  0.88  0.82  0.83     0.85  0.58     0.02    0.6     0.0     \n",
      "                                    precision    recall  f1-score  \\\n",
      "Amazon Echo                          0.790371  0.696125  0.737329   \n",
      "August Doorbell Cam                  0.582447  0.935760  0.717931   \n",
      "Awair air quality monitor            0.985638  0.991000  0.988311   \n",
      "Belkin Camera                        0.958197  0.767550  0.851070   \n",
      "Belkin Wemo switch                   0.751299  0.837800  0.792186   \n",
      "Belkin wemo motion sensor            0.738882  0.760150  0.749333   \n",
      "Blipcare Blood Pressure meter        0.846421  0.740417  0.788088   \n",
      "Canary Camera                        0.903384  0.436970  0.588115   \n",
      "Dropcam                              0.969335  0.995170  0.981593   \n",
      "Google Chromecast                    0.881547  0.810510  0.844446   \n",
      "HP Printer                           0.668271  0.989170  0.797639   \n",
      "Hello Barbie                         0.665310  0.347101  0.455479   \n",
      "Insteon Camera                       0.853501  0.484035  0.616062   \n",
      "Light Bulbs LiFX Smart Bulb          0.988614  0.986845  0.987717   \n",
      "NEST Protect smoke alarm             0.989549  0.901618  0.943513   \n",
      "Nest Dropcam                         0.794288  0.957715  0.862101   \n",
      "Netatmo Welcome                      0.878017  0.897875  0.886989   \n",
      "Netatmo weather station              0.748123  0.980000  0.848504   \n",
      "Non-IoT                              0.908906  0.929272  0.918748   \n",
      "PIX-STAR Photo-frame                 0.483139  0.755550  0.587611   \n",
      "Phillip Hue Lightbulb                0.979396  0.989060  0.984116   \n",
      "Ring Door Bell                       0.988746  0.796915  0.882503   \n",
      "Samsung SmartCam                     0.942732  0.740915  0.829511   \n",
      "Smart Things                         0.999517  0.999970  0.999743   \n",
      "TP-Link Day Night Cloud camera       0.983154  0.339445  0.497687   \n",
      "TP-Link Smart plug                   0.916974  0.812020  0.861271   \n",
      "TPLink Router Bridge LAN (Gateway)   0.822105  0.924765  0.869301   \n",
      "Triby Speaker                        0.930158  0.877300  0.902795   \n",
      "Withings Aura smart sleep sensor     0.981792  0.938960  0.959794   \n",
      "Withings Smart Baby Monitor          0.942286  0.999495  0.967805   \n",
      "Withings Smart scale                 0.998415  0.947965  0.972536   \n",
      "iHome                                0.997902  0.943000  0.969666   \n",
      "unknown maybe cam                    0.971920  0.630435  0.764746   \n",
      "accuracy                             0.857906  0.857906  0.857906   \n",
      "macro avg                            0.873950  0.822451  0.830431   \n",
      "weighted avg                         0.881249  0.857906  0.855226   \n",
      "\n",
      "                                         support  \n",
      "Amazon Echo                          2000.000000  \n",
      "August Doorbell Cam                  2000.000000  \n",
      "Awair air quality monitor            2000.000000  \n",
      "Belkin Camera                        2000.000000  \n",
      "Belkin Wemo switch                   2000.000000  \n",
      "Belkin wemo motion sensor            2000.000000  \n",
      "Blipcare Blood Pressure meter          24.000000  \n",
      "Canary Camera                        2000.000000  \n",
      "Dropcam                              2000.000000  \n",
      "Google Chromecast                    2000.000000  \n",
      "HP Printer                           2000.000000  \n",
      "Hello Barbie                           69.000000  \n",
      "Insteon Camera                       2000.000000  \n",
      "Light Bulbs LiFX Smart Bulb          2000.000000  \n",
      "NEST Protect smoke alarm              933.000000  \n",
      "Nest Dropcam                         2000.000000  \n",
      "Netatmo Welcome                      2000.000000  \n",
      "Netatmo weather station              2000.000000  \n",
      "Non-IoT                             12287.000000  \n",
      "PIX-STAR Photo-frame                 2000.000000  \n",
      "Phillip Hue Lightbulb                2000.000000  \n",
      "Ring Door Bell                       2000.000000  \n",
      "Samsung SmartCam                     2000.000000  \n",
      "Smart Things                         2000.000000  \n",
      "TP-Link Day Night Cloud camera       2000.000000  \n",
      "TP-Link Smart plug                   2000.000000  \n",
      "TPLink Router Bridge LAN (Gateway)   2000.000000  \n",
      "Triby Speaker                        2000.000000  \n",
      "Withings Aura smart sleep sensor     2000.000000  \n",
      "Withings Smart Baby Monitor          2000.000000  \n",
      "Withings Smart scale                 2000.000000  \n",
      "iHome                                2000.000000  \n",
      "unknown maybe cam                      92.000000  \n",
      "accuracy                                0.857906  \n",
      "macro avg                           69405.000000  \n",
      "weighted avg                        69405.000000  \n"
     ]
    },
    {
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\n",
      "text/plain": [
       "<Figure size 2880x2016 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "test='UNSW_test_IoTDevID.csv'\n",
    "train='UNSW_BIG_train_IoTDevID.csv'\n",
    "\n",
    "\n",
    "\n",
    "dataset=\"./UNSW/\"\n",
    "step=1\n",
    "\n",
    "\n",
    "ml_list={\"DT\" :DecisionTreeClassifier(criterion='entropy', max_depth=27.0,\n",
    "                       max_features=19,min_samples_split= 8)}\n",
    "mixed=False\n",
    "\n",
    "step=1\n",
    "sayac=1\n",
    "output_csv=dataset+str(sayac)+\"_\"+str(step)+\"_\"+str(mixed)+\".csv\"\n",
    "target_names=target_name(test)\n",
    "ML(train,test,output_csv,feature,step,mixed,dataset[2:-1]+\"_\"+str(step))   \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Aggregated Results (Size 13)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset         T   CV  ML alg  Acc   b_Acc Prec  Rec   F1       kap   tra-T    test-T  total   al-time \n",
      "UNSW_13         0   1   DT      0.95  0.92  0.97  0.92  0.9205   0.95  0.59     0.02    0.61    0.79    \n",
      "UNSW_13         1   2   DT      0.94  0.91  0.97  0.91  0.9163   0.94  0.51     0.01    0.53    0.77    \n",
      "UNSW_13         2   3   DT      0.95  0.92  0.97  0.92  0.923    0.95  0.49     0.01    0.51    0.76    \n",
      "UNSW_13         3   4   DT      0.94  0.91  0.97  0.91  0.9069   0.93  0.47     0.01    0.49    0.77    \n",
      "UNSW_13         4   5   DT      0.95  0.92  0.97  0.92  0.9246   0.95  0.54     0.02    0.56    0.86    \n",
      "UNSW_13         5   6   DT      0.95  0.92  0.96  0.92  0.9141   0.94  0.54     0.02    0.56    0.77    \n",
      "UNSW_13         6   7   DT      0.94  0.91  0.96  0.91  0.9033   0.94  0.59     0.02    0.61    0.81    \n",
      "UNSW_13         7   8   DT      0.94  0.91  0.96  0.91  0.9118   0.94  0.57     0.02    0.59    0.85    \n",
      "UNSW_13         8   9   DT      0.95  0.92  0.97  0.92  0.9193   0.94  0.56     0.01    0.58    0.76    \n",
      "UNSW_13         9   10  DT      0.95  0.92  0.97  0.92  0.9198   0.95  0.51     0.02    0.52    0.89    \n",
      "UNSW_13         10  11  DT      0.95  0.92  0.97  0.92  0.9183   0.94  0.61     0.02    0.63    0.81    \n",
      "UNSW_13         11  12  DT      0.94  0.91  0.97  0.91  0.9157   0.94  0.62     0.02    0.63    0.78    \n",
      "UNSW_13         12  13  DT      0.95  0.92  0.96  0.92  0.9206   0.95  0.52     0.02    0.53    0.82    \n",
      "UNSW_13         13  14  DT      0.94  0.91  0.97  0.91  0.9106   0.94  0.62     0.02    0.64    0.9     \n",
      "UNSW_13         14  15  DT      0.94  0.91  0.97  0.91  0.9183   0.94  0.55     0.02    0.57    0.84    \n",
      "UNSW_13         15  16  DT      0.94  0.91  0.96  0.91  0.9059   0.94  0.58     0.02    0.59    1.09    \n",
      "UNSW_13         16  17  DT      0.94  0.91  0.96  0.91  0.909    0.94  0.53     0.02    0.55    0.81    \n",
      "UNSW_13         17  18  DT      0.94  0.91  0.97  0.91  0.9141   0.94  0.62     0.02    0.65    0.99    \n",
      "UNSW_13         18  19  DT      0.95  0.92  0.97  0.92  0.9176   0.94  0.6      0.02    0.61    0.85    \n",
      "UNSW_13         19  20  DT      0.95  0.91  0.97  0.91  0.9171   0.94  0.67     0.02    0.69    0.83    \n",
      "UNSW_13         20  21  DT      0.95  0.92  0.97  0.92  0.9202   0.94  0.54     0.02    0.55    0.83    \n",
      "UNSW_13         21  22  DT      0.94  0.91  0.97  0.91  0.9126   0.94  0.59     0.02    0.61    0.81    \n",
      "UNSW_13         22  23  DT      0.95  0.92  0.96  0.92  0.9147   0.94  0.68     0.02    0.71    0.8     \n",
      "UNSW_13         23  24  DT      0.94  0.91  0.97  0.91  0.9136   0.94  0.57     0.02    0.59    0.87    \n",
      "UNSW_13         24  25  DT      0.96  0.93  0.97  0.93  0.9309   0.96  0.62     0.02    0.64    0.82    \n",
      "UNSW_13         25  26  DT      0.94  0.91  0.97  0.91  0.9142   0.94  0.66     0.02    0.68    0.83    \n",
      "UNSW_13         26  27  DT      0.95  0.92  0.98  0.92  0.9201   0.94  0.65     0.02    0.67    0.84    \n",
      "UNSW_13         27  28  DT      0.95  0.92  0.96  0.92  0.9147   0.94  0.59     0.02    0.61    0.83    \n",
      "UNSW_13         28  29  DT      0.94  0.91  0.96  0.91  0.912    0.94  0.73     0.02    0.75    0.84    \n",
      "UNSW_13         29  30  DT      0.95  0.91  0.96  0.91  0.914    0.94  0.65     0.02    0.66    0.82    \n",
      "UNSW_13         30  31  DT      0.94  0.91  0.97  0.91  0.9136   0.94  0.58     0.02    0.6     0.81    \n",
      "UNSW_13         31  32  DT      0.95  0.92  0.97  0.92  0.9199   0.94  0.62     0.02    0.64    0.81    \n",
      "UNSW_13         32  33  DT      0.94  0.91  0.97  0.91  0.9138   0.94  0.61     0.02    0.63    0.83    \n",
      "UNSW_13         33  34  DT      0.95  0.92  0.96  0.92  0.9216   0.95  0.63     0.01    0.64    0.81    \n",
      "UNSW_13         34  35  DT      0.95  0.92  0.97  0.92  0.9182   0.94  0.51     0.01    0.53    0.82    \n",
      "UNSW_13         35  36  DT      0.95  0.91  0.97  0.91  0.9198   0.94  0.62     0.01    0.64    0.81    \n",
      "UNSW_13         36  37  DT      0.95  0.92  0.97  0.92  0.9263   0.95  0.58     0.02    0.6     0.83    \n",
      "UNSW_13         37  38  DT      0.95  0.92  0.97  0.92  0.9202   0.94  0.53     0.02    0.55    0.81    \n",
      "UNSW_13         38  39  DT      0.96  0.93  0.97  0.93  0.9284   0.96  0.56     0.01    0.57    0.8     \n",
      "UNSW_13         39  40  DT      0.95  0.92  0.97  0.92  0.9205   0.95  0.54     0.02    0.56    0.76    \n",
      "UNSW_13         40  41  DT      0.94  0.91  0.97  0.91  0.9108   0.94  0.5      0.02    0.52    0.79    \n",
      "UNSW_13         41  42  DT      0.94  0.91  0.97  0.91  0.9123   0.94  0.63     0.02    0.64    0.78    \n",
      "UNSW_13         42  43  DT      0.94  0.91  0.96  0.91  0.9121   0.94  0.54     0.02    0.56    0.78    \n",
      "UNSW_13         43  44  DT      0.94  0.91  0.96  0.91  0.9131   0.94  0.52     0.01    0.53    0.8     \n",
      "UNSW_13         44  45  DT      0.96  0.93  0.97  0.93  0.9372   0.96  0.54     0.02    0.55    0.79    \n",
      "UNSW_13         45  46  DT      0.94  0.91  0.97  0.91  0.9133   0.94  0.45     0.01    0.46    0.78    \n",
      "UNSW_13         46  47  DT      0.94  0.91  0.97  0.91  0.9145   0.94  0.52     0.02    0.54    0.8     \n",
      "UNSW_13         47  48  DT      0.95  0.92  0.96  0.92  0.9166   0.94  0.6      0.01    0.61    0.8     \n",
      "UNSW_13         48  49  DT      0.96  0.93  0.98  0.93  0.9371   0.96  0.61     0.02    0.63    0.8     \n",
      "UNSW_13         49  50  DT      0.95  0.92  0.97  0.92  0.9172   0.94  0.61     0.01    0.62    0.83    \n",
      "UNSW_13         50  51  DT      0.94  0.91  0.96  0.91  0.9091   0.94  0.64     0.02    0.66    0.77    \n",
      "UNSW_13         51  52  DT      0.94  0.91  0.97  0.91  0.9158   0.94  0.61     0.02    0.63    0.8     \n",
      "UNSW_13         52  53  DT      0.95  0.92  0.97  0.92  0.9193   0.94  0.55     0.02    0.57    0.79    \n",
      "UNSW_13         53  54  DT      0.95  0.92  0.97  0.92  0.9273   0.95  0.62     0.01    0.63    0.78    \n",
      "UNSW_13         54  55  DT      0.94  0.91  0.97  0.91  0.9108   0.94  0.56     0.02    0.58    0.76    \n",
      "UNSW_13         55  56  DT      0.94  0.91  0.96  0.91  0.9061   0.94  0.64     0.02    0.65    0.79    \n",
      "UNSW_13         56  57  DT      0.95  0.92  0.97  0.92  0.9153   0.94  0.51     0.02    0.53    0.8     \n",
      "UNSW_13         57  58  DT      0.98  0.95  0.99  0.95  0.9529   0.98  0.59     0.02    0.61    0.8     \n",
      "UNSW_13         58  59  DT      0.95  0.92  0.97  0.92  0.9217   0.95  0.56     0.02    0.58    0.85    \n",
      "UNSW_13         59  60  DT      0.94  0.91  0.96  0.91  0.9096   0.94  0.52     0.02    0.54    0.78    \n",
      "UNSW_13         60  61  DT      0.94  0.91  0.96  0.91  0.9061   0.94  0.55     0.01    0.57    0.8     \n",
      "UNSW_13         61  62  DT      0.95  0.92  0.96  0.92  0.9239   0.95  0.52     0.02    0.54    0.79    \n",
      "UNSW_13         62  63  DT      0.94  0.91  0.97  0.91  0.9189   0.94  0.64     0.02    0.66    0.78    \n",
      "UNSW_13         63  64  DT      0.95  0.92  0.97  0.92  0.9171   0.94  0.66     0.01    0.68    0.78    \n",
      "UNSW_13         64  65  DT      0.96  0.93  0.97  0.93  0.9227   0.95  0.56     0.02    0.58    0.78    \n",
      "UNSW_13         65  66  DT      0.94  0.91  0.96  0.91  0.9082   0.94  0.5      0.02    0.52    0.79    \n",
      "UNSW_13         66  67  DT      0.95  0.92  0.97  0.92  0.9179   0.94  0.54     0.01    0.56    0.77    \n",
      "UNSW_13         67  68  DT      0.94  0.91  0.97  0.91  0.9151   0.94  0.61     0.01    0.63    0.78    \n",
      "UNSW_13         68  69  DT      0.95  0.92  0.96  0.92  0.9221   0.95  0.52     0.02    0.54    0.79    \n",
      "UNSW_13         69  70  DT      0.94  0.91  0.96  0.91  0.9066   0.94  0.53     0.01    0.55    0.78    \n",
      "UNSW_13         70  71  DT      0.94  0.91  0.96  0.91  0.91     0.94  0.59     0.01    0.61    0.78    \n",
      "UNSW_13         71  72  DT      0.95  0.92  0.97  0.92  0.921    0.95  0.6      0.01    0.61    0.79    \n",
      "UNSW_13         72  73  DT      0.94  0.91  0.97  0.91  0.9089   0.93  0.55     0.02    0.57    0.78    \n",
      "UNSW_13         73  74  DT      0.95  0.92  0.97  0.92  0.9185   0.94  0.46     0.02    0.47    0.77    \n",
      "UNSW_13         74  75  DT      0.95  0.92  0.97  0.92  0.9245   0.95  0.6      0.02    0.61    0.79    \n",
      "UNSW_13         75  76  DT      0.96  0.94  0.98  0.94  0.9373   0.96  0.58     0.01    0.6     0.79    \n",
      "UNSW_13         76  77  DT      0.95  0.92  0.97  0.92  0.925    0.95  0.55     0.01    0.56    0.79    \n",
      "UNSW_13         77  78  DT      0.94  0.91  0.96  0.91  0.9066   0.94  0.53     0.02    0.55    0.8     \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "UNSW_13         78  79  DT      0.94  0.91  0.96  0.91  0.9004   0.93  0.61     0.02    0.63    0.77    \n",
      "UNSW_13         79  80  DT      0.96  0.93  0.98  0.93  0.9359   0.96  0.63     0.01    0.64    0.78    \n",
      "UNSW_13         80  81  DT      0.94  0.91  0.97  0.91  0.9143   0.94  0.6      0.02    0.61    0.79    \n",
      "UNSW_13         81  82  DT      0.94  0.91  0.96  0.91  0.9042   0.94  0.56     0.01    0.57    0.78    \n",
      "UNSW_13         82  83  DT      0.94  0.91  0.97  0.91  0.9122   0.94  0.53     0.01    0.54    0.77    \n",
      "UNSW_13         83  84  DT      0.95  0.92  0.96  0.92  0.9147   0.94  0.57     0.01    0.59    0.78    \n",
      "UNSW_13         84  85  DT      0.94  0.91  0.97  0.91  0.9173   0.94  0.64     0.01    0.65    0.79    \n",
      "UNSW_13         85  86  DT      0.94  0.91  0.96  0.91  0.9092   0.94  0.49     0.01    0.5     0.79    \n",
      "UNSW_13         86  87  DT      0.94  0.91  0.97  0.91  0.9161   0.94  0.62     0.02    0.64    0.79    \n",
      "UNSW_13         87  88  DT      0.94  0.91  0.97  0.91  0.9102   0.94  0.57     0.02    0.59    0.8     \n",
      "UNSW_13         88  89  DT      0.95  0.92  0.97  0.92  0.9208   0.94  0.47     0.02    0.49    0.84    \n",
      "UNSW_13         89  90  DT      0.94  0.91  0.97  0.91  0.9134   0.94  0.53     0.02    0.55    0.81    \n",
      "UNSW_13         90  91  DT      0.94  0.91  0.97  0.91  0.9152   0.94  0.64     0.02    0.65    0.79    \n",
      "UNSW_13         91  92  DT      0.95  0.92  0.97  0.92  0.9177   0.94  0.55     0.02    0.56    0.83    \n",
      "UNSW_13         92  93  DT      0.95  0.92  0.96  0.92  0.9181   0.95  0.6      0.02    0.61    0.8     \n",
      "UNSW_13         93  94  DT      0.94  0.91  0.96  0.91  0.9052   0.94  0.55     0.02    0.56    0.8     \n",
      "UNSW_13         94  95  DT      0.94  0.91  0.97  0.91  0.9142   0.94  0.67     0.01    0.68    0.79    \n",
      "UNSW_13         95  96  DT      0.94  0.91  0.97  0.91  0.9143   0.94  0.67     0.02    0.68    0.8     \n",
      "UNSW_13         96  97  DT      0.94  0.91  0.97  0.91  0.9141   0.94  0.63     0.02    0.65    0.8     \n",
      "UNSW_13         97  98  DT      0.96  0.93  0.97  0.93  0.9286   0.96  0.6      0.02    0.62    0.78    \n",
      "UNSW_13         98  99  DT      0.95  0.91  0.97  0.91  0.9187   0.94  0.59     0.01    0.61    0.79    \n",
      "UNSW_13         99  100 DT      0.95  0.91  0.96  0.91  0.9135   0.94  0.63     0.02    0.64    0.78    \n",
      "                                    precision    recall  f1-score  \\\n",
      "Amazon Echo                          0.949084  0.996230  0.968599   \n",
      "August Doorbell Cam                  0.618031  1.000000  0.763330   \n",
      "Awair air quality monitor            1.000000  1.000000  1.000000   \n",
      "Belkin Camera                        1.000000  1.000000  1.000000   \n",
      "Belkin Wemo switch                   0.980069  1.000000  0.989490   \n",
      "Belkin wemo motion sensor            1.000000  0.986415  0.993156   \n",
      "Blipcare Blood Pressure meter        1.000000  1.000000  1.000000   \n",
      "Canary Camera                        1.000000  0.376585  0.540420   \n",
      "Dropcam                              0.994295  1.000000  0.997040   \n",
      "Google Chromecast                    1.000000  0.999545  0.999772   \n",
      "HP Printer                           0.987167  1.000000  0.993542   \n",
      "Hello Barbie                         1.000000  0.188406  0.317073   \n",
      "Insteon Camera                       0.987335  0.522020  0.676550   \n",
      "Light Bulbs LiFX Smart Bulb          1.000000  1.000000  1.000000   \n",
      "NEST Protect smoke alarm             1.000000  1.000000  1.000000   \n",
      "Nest Dropcam                         0.815066  1.000000  0.887110   \n",
      "Netatmo Welcome                      0.999483  1.000000  0.999741   \n",
      "Netatmo weather station              1.000000  1.000000  1.000000   \n",
      "Non-IoT                              0.958004  1.000000  0.978118   \n",
      "PIX-STAR Photo-frame                 0.703254  0.987000  0.815961   \n",
      "Phillip Hue Lightbulb                0.999872  1.000000  0.999935   \n",
      "Ring Door Bell                       1.000000  1.000000  1.000000   \n",
      "Samsung SmartCam                     1.000000  0.996360  0.998173   \n",
      "Smart Things                         1.000000  1.000000  1.000000   \n",
      "TP-Link Day Night Cloud camera       0.988247  0.310460  0.446963   \n",
      "TP-Link Smart plug                   1.000000  1.000000  1.000000   \n",
      "TPLink Router Bridge LAN (Gateway)   0.983054  1.000000  0.990100   \n",
      "Triby Speaker                        1.000000  1.000000  1.000000   \n",
      "Withings Aura smart sleep sensor     1.000000  1.000000  1.000000   \n",
      "Withings Smart Baby Monitor          0.962658  1.000000  0.977686   \n",
      "Withings Smart scale                 1.000000  1.000000  1.000000   \n",
      "iHome                                1.000000  1.000000  1.000000   \n",
      "unknown maybe cam                    1.000000  0.858696  0.923977   \n",
      "accuracy                             0.946405  0.946405  0.946405   \n",
      "macro avg                            0.967443  0.915810  0.916871   \n",
      "weighted avg                         0.962816  0.946405  0.938796   \n",
      "\n",
      "                                         support  \n",
      "Amazon Echo                          2000.000000  \n",
      "August Doorbell Cam                  2000.000000  \n",
      "Awair air quality monitor            2000.000000  \n",
      "Belkin Camera                        2000.000000  \n",
      "Belkin Wemo switch                   2000.000000  \n",
      "Belkin wemo motion sensor            2000.000000  \n",
      "Blipcare Blood Pressure meter          24.000000  \n",
      "Canary Camera                        2000.000000  \n",
      "Dropcam                              2000.000000  \n",
      "Google Chromecast                    2000.000000  \n",
      "HP Printer                           2000.000000  \n",
      "Hello Barbie                           69.000000  \n",
      "Insteon Camera                       2000.000000  \n",
      "Light Bulbs LiFX Smart Bulb          2000.000000  \n",
      "NEST Protect smoke alarm              933.000000  \n",
      "Nest Dropcam                         2000.000000  \n",
      "Netatmo Welcome                      2000.000000  \n",
      "Netatmo weather station              2000.000000  \n",
      "Non-IoT                             12287.000000  \n",
      "PIX-STAR Photo-frame                 2000.000000  \n",
      "Phillip Hue Lightbulb                2000.000000  \n",
      "Ring Door Bell                       2000.000000  \n",
      "Samsung SmartCam                     2000.000000  \n",
      "Smart Things                         2000.000000  \n",
      "TP-Link Day Night Cloud camera       2000.000000  \n",
      "TP-Link Smart plug                   2000.000000  \n",
      "TPLink Router Bridge LAN (Gateway)   2000.000000  \n",
      "Triby Speaker                        2000.000000  \n",
      "Withings Aura smart sleep sensor     2000.000000  \n",
      "Withings Smart Baby Monitor          2000.000000  \n",
      "Withings Smart scale                 2000.000000  \n",
      "iHome                                2000.000000  \n",
      "unknown maybe cam                      92.000000  \n",
      "accuracy                                0.946405  \n",
      "macro avg                           69405.000000  \n",
      "weighted avg                        69405.000000  \n"
     ]
    },
    {
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\n",
      "text/plain": [
       "<Figure size 2880x2016 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "test='UNSW_test_IoTDevID.csv'\n",
    "train='UNSW_BIG_train_IoTDevID.csv'\n",
    "\n",
    "\n",
    "\n",
    "dataset=\"./UNSW/\"\n",
    "step=1\n",
    "\n",
    "\n",
    "ml_list={\"DT\" :DecisionTreeClassifier(criterion='entropy', max_depth=27.0,\n",
    "                       max_features=19,min_samples_split= 8)}\n",
    "mixed=False\n",
    "\n",
    "step=13\n",
    "sayac=1\n",
    "output_csv=dataset+str(sayac)+\"_\"+str(step)+\"_\"+str(mixed)+\".csv\"\n",
    "target_names=target_name(test)\n",
    "ML(train,test,output_csv,feature,step,mixed,dataset[2:-1]+\"_\"+str(step))   \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Mixed (Size 13)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset         T   CV  ML alg  Acc   b_Acc Prec  Rec   F1       kap   tra-T    test-T  total   al-time \n",
      "UNSW_13         0   1   DT      0.94  0.91  0.97  0.91  0.9173   0.94  0.57     0.02    0.59    0.92    \n",
      "UNSW_13         1   2   DT      0.95  0.92  0.97  0.92  0.9177   0.94  0.58     0.02    0.59    0.88    \n",
      "UNSW_13         2   3   DT      0.96  0.93  0.98  0.93  0.9393   0.96  0.56     0.02    0.58    0.8     \n",
      "UNSW_13         3   4   DT      0.94  0.91  0.97  0.91  0.9137   0.94  0.54     0.01    0.56    0.82    \n",
      "UNSW_13         4   5   DT      0.95  0.91  0.96  0.91  0.9139   0.94  0.59     0.01    0.6     0.8     \n",
      "UNSW_13         5   6   DT      0.94  0.91  0.96  0.91  0.9019   0.93  0.6      0.02    0.62    0.81    \n",
      "UNSW_13         6   7   DT      0.94  0.91  0.96  0.91  0.9052   0.94  0.51     0.01    0.52    0.8     \n",
      "UNSW_13         7   8   DT      0.94  0.91  0.97  0.91  0.9144   0.94  0.71     0.02    0.73    1.07    \n",
      "UNSW_13         8   9   DT      0.95  0.92  0.97  0.92  0.9232   0.95  0.71     0.02    0.73    1.02    \n",
      "UNSW_13         9   10  DT      0.95  0.92  0.96  0.92  0.9197   0.95  0.64     0.02    0.66    0.92    \n",
      "UNSW_13         10  11  DT      0.95  0.92  0.97  0.92  0.9242   0.95  0.72     0.02    0.74    0.97    \n",
      "UNSW_13         11  12  DT      0.94  0.91  0.96  0.91  0.9113   0.94  0.68     0.02    0.7     0.96    \n",
      "UNSW_13         12  13  DT      0.94  0.91  0.96  0.91  0.9106   0.94  0.56     0.01    0.58    1.11    \n",
      "UNSW_13         13  14  DT      0.94  0.91  0.96  0.91  0.9107   0.94  0.61     0.01    0.62    0.85    \n",
      "UNSW_13         14  15  DT      0.94  0.91  0.97  0.91  0.9104   0.94  0.59     0.02    0.6     0.84    \n",
      "UNSW_13         15  16  DT      0.96  0.93  0.97  0.93  0.9316   0.96  0.63     0.02    0.65    0.85    \n",
      "UNSW_13         16  17  DT      0.95  0.92  0.97  0.92  0.9259   0.95  0.64     0.02    0.66    0.86    \n",
      "UNSW_13         17  18  DT      0.94  0.91  0.96  0.91  0.9054   0.94  0.55     0.02    0.57    0.84    \n",
      "UNSW_13         18  19  DT      0.94  0.91  0.97  0.91  0.9139   0.94  0.76     0.02    0.78    1.0     \n",
      "UNSW_13         19  20  DT      0.95  0.92  0.97  0.92  0.9218   0.94  0.66     0.02    0.67    0.85    \n",
      "UNSW_13         20  21  DT      0.94  0.91  0.97  0.91  0.9091   0.93  0.6      0.02    0.61    0.95    \n",
      "UNSW_13         21  22  DT      0.94  0.91  0.96  0.91  0.909    0.94  0.71     0.02    0.72    0.87    \n",
      "UNSW_13         22  23  DT      0.94  0.91  0.97  0.91  0.918    0.94  0.62     0.02    0.64    0.86    \n",
      "UNSW_13         23  24  DT      0.95  0.92  0.97  0.92  0.9245   0.95  0.54     0.02    0.56    0.85    \n",
      "UNSW_13         24  25  DT      0.95  0.92  0.96  0.92  0.9205   0.95  0.56     0.01    0.57    0.9     \n",
      "UNSW_13         25  26  DT      0.95  0.92  0.97  0.92  0.92     0.94  0.66     0.02    0.67    0.83    \n",
      "UNSW_13         26  27  DT      0.95  0.92  0.97  0.92  0.918    0.94  0.54     0.01    0.55    0.81    \n",
      "UNSW_13         27  28  DT      0.95  0.92  0.97  0.92  0.9239   0.95  0.61     0.01    0.63    0.81    \n",
      "UNSW_13         28  29  DT      0.95  0.92  0.97  0.92  0.9233   0.95  0.48     0.02    0.5     0.86    \n",
      "UNSW_13         29  30  DT      0.94  0.91  0.96  0.91  0.9115   0.94  0.6      0.02    0.62    0.87    \n",
      "UNSW_13         30  31  DT      0.94  0.91  0.97  0.91  0.9151   0.94  0.67     0.02    0.69    0.82    \n",
      "UNSW_13         31  32  DT      0.95  0.92  0.97  0.92  0.9211   0.94  0.59     0.02    0.6     0.84    \n",
      "UNSW_13         32  33  DT      0.95  0.92  0.97  0.92  0.9241   0.95  0.58     0.01    0.59    0.82    \n",
      "UNSW_13         33  34  DT      0.95  0.92  0.97  0.92  0.9173   0.94  0.64     0.01    0.66    0.83    \n",
      "UNSW_13         34  35  DT      0.94  0.91  0.96  0.91  0.907    0.94  0.53     0.01    0.55    0.82    \n",
      "UNSW_13         35  36  DT      0.93  0.9   0.94  0.9   0.8992   0.93  0.53     0.01    0.55    0.84    \n",
      "UNSW_13         36  37  DT      0.96  0.93  0.97  0.93  0.9319   0.96  0.58     0.01    0.6     0.83    \n",
      "UNSW_13         37  38  DT      0.95  0.92  0.97  0.92  0.9199   0.94  0.65     0.02    0.67    0.86    \n",
      "UNSW_13         38  39  DT      0.95  0.92  0.97  0.92  0.9266   0.95  0.55     0.02    0.56    0.88    \n",
      "UNSW_13         39  40  DT      0.94  0.91  0.97  0.91  0.9126   0.94  0.57     0.01    0.58    0.89    \n",
      "UNSW_13         40  41  DT      0.96  0.93  0.97  0.93  0.9343   0.96  0.59     0.02    0.61    0.87    \n",
      "UNSW_13         41  42  DT      0.94  0.91  0.96  0.91  0.9014   0.93  0.62     0.02    0.64    0.87    \n",
      "UNSW_13         42  43  DT      0.95  0.92  0.96  0.92  0.9122   0.94  0.66     0.02    0.68    0.87    \n",
      "UNSW_13         43  44  DT      0.95  0.92  0.97  0.92  0.9206   0.94  0.58     0.02    0.59    0.82    \n",
      "UNSW_13         44  45  DT      0.95  0.92  0.96  0.92  0.9189   0.95  0.54     0.02    0.56    0.88    \n",
      "UNSW_13         45  46  DT      0.94  0.91  0.96  0.91  0.9073   0.94  0.64     0.01    0.65    0.86    \n",
      "UNSW_13         46  47  DT      0.96  0.93  0.97  0.93  0.933    0.96  0.54     0.02    0.56    0.83    \n",
      "UNSW_13         47  48  DT      0.94  0.91  0.96  0.91  0.9112   0.94  0.56     0.01    0.57    0.82    \n",
      "UNSW_13         48  49  DT      0.95  0.92  0.96  0.92  0.9176   0.94  0.57     0.02    0.58    0.82    \n",
      "UNSW_13         49  50  DT      0.97  0.94  0.98  0.94  0.9416   0.97  0.56     0.01    0.58    0.81    \n",
      "UNSW_13         50  51  DT      0.95  0.92  0.96  0.92  0.9164   0.94  0.65     0.02    0.66    0.81    \n",
      "UNSW_13         51  52  DT      0.96  0.93  0.98  0.93  0.9356   0.96  0.59     0.02    0.61    0.84    \n",
      "UNSW_13         52  53  DT      0.94  0.91  0.96  0.91  0.9115   0.94  0.55     0.01    0.56    0.86    \n",
      "UNSW_13         53  54  DT      0.94  0.91  0.96  0.91  0.904    0.94  0.67     0.02    0.69    0.91    \n",
      "UNSW_13         54  55  DT      0.94  0.91  0.96  0.91  0.9087   0.94  0.54     0.02    0.55    0.97    \n",
      "UNSW_13         55  56  DT      0.95  0.91  0.97  0.91  0.9161   0.94  0.6      0.02    0.61    0.88    \n",
      "UNSW_13         56  57  DT      0.94  0.91  0.96  0.91  0.9062   0.94  0.63     0.02    0.65    0.88    \n",
      "UNSW_13         57  58  DT      0.95  0.92  0.97  0.92  0.9172   0.94  0.76     0.02    0.78    0.91    \n",
      "UNSW_13         58  59  DT      0.96  0.93  0.98  0.93  0.9363   0.96  0.66     0.02    0.67    0.86    \n",
      "UNSW_13         59  60  DT      0.94  0.91  0.95  0.91  0.9101   0.94  0.65     0.01    0.66    0.85    \n",
      "UNSW_13         60  61  DT      0.94  0.91  0.96  0.91  0.9116   0.94  0.56     0.02    0.58    0.94    \n",
      "UNSW_13         61  62  DT      0.95  0.92  0.97  0.92  0.9182   0.94  0.57     0.02    0.58    0.86    \n",
      "UNSW_13         62  63  DT      0.94  0.91  0.96  0.91  0.902    0.93  0.65     0.02    0.67    0.88    \n",
      "UNSW_13         63  64  DT      0.95  0.92  0.97  0.92  0.9226   0.95  0.54     0.02    0.56    0.91    \n",
      "UNSW_13         64  65  DT      0.94  0.91  0.97  0.91  0.9171   0.94  0.65     0.01    0.67    0.89    \n",
      "UNSW_13         65  66  DT      0.94  0.91  0.97  0.91  0.9136   0.94  0.56     0.02    0.58    0.87    \n",
      "UNSW_13         66  67  DT      0.94  0.91  0.97  0.91  0.9152   0.94  0.55     0.01    0.56    0.86    \n",
      "UNSW_13         67  68  DT      0.94  0.91  0.96  0.91  0.9013   0.93  0.69     0.02    0.71    1.0     \n",
      "UNSW_13         68  69  DT      0.94  0.91  0.96  0.91  0.9122   0.94  0.68     0.02    0.71    0.98    \n",
      "UNSW_13         69  70  DT      0.95  0.92  0.97  0.92  0.9213   0.95  0.65     0.02    0.67    0.92    \n",
      "UNSW_13         70  71  DT      0.94  0.91  0.97  0.91  0.9142   0.94  0.73     0.02    0.75    1.14    \n",
      "UNSW_13         71  72  DT      0.95  0.92  0.96  0.92  0.9207   0.94  0.66     0.02    0.68    0.98    \n",
      "UNSW_13         72  73  DT      0.94  0.91  0.96  0.91  0.9106   0.94  0.62     0.02    0.64    0.9     \n",
      "UNSW_13         73  74  DT      0.94  0.91  0.96  0.91  0.9032   0.93  0.63     0.01    0.64    0.9     \n",
      "UNSW_13         74  75  DT      0.94  0.91  0.97  0.91  0.9123   0.94  0.6      0.02    0.61    0.88    \n",
      "UNSW_13         75  76  DT      0.95  0.91  0.97  0.91  0.9171   0.94  0.58     0.02    0.59    0.85    \n",
      "UNSW_13         76  77  DT      0.95  0.92  0.97  0.92  0.9239   0.95  0.63     0.02    0.65    0.85    \n",
      "UNSW_13         77  78  DT      0.96  0.93  0.98  0.93  0.9372   0.96  0.63     0.02    0.65    0.84    \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "UNSW_13         78  79  DT      0.94  0.91  0.96  0.91  0.9188   0.94  0.78     0.02    0.8     0.94    \n",
      "UNSW_13         79  80  DT      0.95  0.92  0.97  0.92  0.9207   0.95  0.58     0.02    0.6     1.08    \n",
      "UNSW_13         80  81  DT      0.96  0.93  0.97  0.93  0.9274   0.95  0.7      0.02    0.72    0.96    \n",
      "UNSW_13         81  82  DT      0.94  0.91  0.96  0.91  0.9115   0.94  0.72     0.02    0.74    0.95    \n",
      "UNSW_13         82  83  DT      0.95  0.92  0.98  0.92  0.9252   0.94  0.62     0.02    0.64    0.89    \n",
      "UNSW_13         83  84  DT      0.94  0.91  0.96  0.91  0.9088   0.94  0.63     0.02    0.65    0.89    \n",
      "UNSW_13         84  85  DT      0.95  0.92  0.97  0.92  0.9226   0.95  0.65     0.02    0.67    0.87    \n",
      "UNSW_13         85  86  DT      0.94  0.91  0.97  0.91  0.9188   0.94  0.62     0.02    0.63    0.88    \n",
      "UNSW_13         86  87  DT      0.94  0.91  0.97  0.91  0.9129   0.94  0.65     0.01    0.67    0.87    \n",
      "UNSW_13         87  88  DT      0.94  0.91  0.96  0.91  0.9095   0.94  0.66     0.02    0.68    0.96    \n",
      "UNSW_13         88  89  DT      0.96  0.93  0.98  0.93  0.9346   0.96  0.62     0.02    0.64    0.93    \n",
      "UNSW_13         89  90  DT      0.94  0.91  0.97  0.91  0.9063   0.93  0.57     0.02    0.59    0.97    \n",
      "UNSW_13         90  91  DT      0.95  0.92  0.97  0.92  0.9178   0.94  0.69     0.02    0.71    0.93    \n",
      "UNSW_13         91  92  DT      0.94  0.91  0.96  0.91  0.9023   0.93  0.65     0.02    0.67    0.95    \n",
      "UNSW_13         92  93  DT      0.94  0.91  0.96  0.91  0.9012   0.93  0.54     0.02    0.56    0.91    \n",
      "UNSW_13         93  94  DT      0.94  0.91  0.97  0.91  0.9122   0.94  0.7      0.02    0.72    0.93    \n",
      "UNSW_13         94  95  DT      0.95  0.92  0.96  0.92  0.9157   0.94  0.68     0.02    0.7     1.05    \n",
      "UNSW_13         95  96  DT      0.95  0.92  0.97  0.92  0.9235   0.95  0.66     0.02    0.67    1.11    \n",
      "UNSW_13         96  97  DT      0.96  0.93  0.98  0.93  0.9322   0.95  0.66     0.02    0.68    0.93    \n",
      "UNSW_13         97  98  DT      0.95  0.92  0.97  0.92  0.9181   0.94  0.7      0.02    0.72    0.91    \n",
      "UNSW_13         98  99  DT      0.97  0.94  0.99  0.94  0.9495   0.97  0.64     0.02    0.65    1.03    \n",
      "UNSW_13         99  100 DT      0.94  0.91  0.96  0.91  0.9092   0.94  0.75     0.02    0.77    1.05    \n",
      "                                    precision    recall  f1-score  \\\n",
      "Amazon Echo                          0.941119  0.996555  0.964006   \n",
      "August Doorbell Cam                  0.616634  1.000000  0.762408   \n",
      "Awair air quality monitor            1.000000  1.000000  1.000000   \n",
      "Belkin Camera                        0.996963  1.000000  0.998369   \n",
      "Belkin Wemo switch                   0.988009  1.000000  0.993964   \n",
      "Belkin wemo motion sensor            0.999844  0.987845  0.993803   \n",
      "Blipcare Blood Pressure meter        1.000000  1.000000  1.000000   \n",
      "Canary Camera                        1.000000  0.374245  0.539703   \n",
      "Dropcam                              0.995919  1.000000  0.997896   \n",
      "Google Chromecast                    1.000000  0.999740  0.999869   \n",
      "HP Printer                           0.987142  1.000000  0.993530   \n",
      "Hello Barbie                         1.000000  0.188406  0.317073   \n",
      "Insteon Camera                       0.987221  0.512550  0.670366   \n",
      "Light Bulbs LiFX Smart Bulb          1.000000  1.000000  1.000000   \n",
      "NEST Protect smoke alarm             1.000000  1.000000  1.000000   \n",
      "Nest Dropcam                         0.809419  1.000000  0.883739   \n",
      "Netatmo Welcome                      0.999548  1.000000  0.999773   \n",
      "Netatmo weather station              1.000000  1.000000  1.000000   \n",
      "Non-IoT                              0.960897  1.000000  0.979630   \n",
      "PIX-STAR Photo-frame                 0.700549  0.987000  0.814380   \n",
      "Phillip Hue Lightbulb                0.999258  1.000000  0.999624   \n",
      "Ring Door Bell                       1.000000  1.000000  1.000000   \n",
      "Samsung SmartCam                     0.999738  0.996035  0.997878   \n",
      "Smart Things                         1.000000  1.000000  1.000000   \n",
      "TP-Link Day Night Cloud camera       0.973260  0.328965  0.462814   \n",
      "TP-Link Smart plug                   1.000000  1.000000  1.000000   \n",
      "TPLink Router Bridge LAN (Gateway)   0.979083  1.000000  0.987766   \n",
      "Triby Speaker                        1.000000  1.000000  1.000000   \n",
      "Withings Aura smart sleep sensor     1.000000  1.000000  1.000000   \n",
      "Withings Smart Baby Monitor          0.977619  1.000000  0.986680   \n",
      "Withings Smart scale                 1.000000  1.000000  1.000000   \n",
      "iHome                                1.000000  1.000000  1.000000   \n",
      "unknown maybe cam                    0.999500  0.858696  0.923762   \n",
      "accuracy                             0.946645  0.946645  0.946645   \n",
      "macro avg                            0.967022  0.916062  0.917183   \n",
      "weighted avg                         0.962858  0.946645  0.939323   \n",
      "\n",
      "                                         support  \n",
      "Amazon Echo                          2000.000000  \n",
      "August Doorbell Cam                  2000.000000  \n",
      "Awair air quality monitor            2000.000000  \n",
      "Belkin Camera                        2000.000000  \n",
      "Belkin Wemo switch                   2000.000000  \n",
      "Belkin wemo motion sensor            2000.000000  \n",
      "Blipcare Blood Pressure meter          24.000000  \n",
      "Canary Camera                        2000.000000  \n",
      "Dropcam                              2000.000000  \n",
      "Google Chromecast                    2000.000000  \n",
      "HP Printer                           2000.000000  \n",
      "Hello Barbie                           69.000000  \n",
      "Insteon Camera                       2000.000000  \n",
      "Light Bulbs LiFX Smart Bulb          2000.000000  \n",
      "NEST Protect smoke alarm              933.000000  \n",
      "Nest Dropcam                         2000.000000  \n",
      "Netatmo Welcome                      2000.000000  \n",
      "Netatmo weather station              2000.000000  \n",
      "Non-IoT                             12287.000000  \n",
      "PIX-STAR Photo-frame                 2000.000000  \n",
      "Phillip Hue Lightbulb                2000.000000  \n",
      "Ring Door Bell                       2000.000000  \n",
      "Samsung SmartCam                     2000.000000  \n",
      "Smart Things                         2000.000000  \n",
      "TP-Link Day Night Cloud camera       2000.000000  \n",
      "TP-Link Smart plug                   2000.000000  \n",
      "TPLink Router Bridge LAN (Gateway)   2000.000000  \n",
      "Triby Speaker                        2000.000000  \n",
      "Withings Aura smart sleep sensor     2000.000000  \n",
      "Withings Smart Baby Monitor          2000.000000  \n",
      "Withings Smart scale                 2000.000000  \n",
      "iHome                                2000.000000  \n",
      "unknown maybe cam                      92.000000  \n",
      "accuracy                                0.946645  \n",
      "macro avg                           69405.000000  \n",
      "weighted avg                        69405.000000  \n"
     ]
    },
    {
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\n",
      "text/plain": [
       "<Figure size 2880x2016 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "test='UNSW_test_IoTDevID.csv'\n",
    "train='UNSW_BIG_train_IoTDevID.csv'\n",
    "\n",
    "\n",
    "dataset=\"./UNSW/\"\n",
    "step=1\n",
    "\n",
    "\n",
    "\n",
    "mixed=True\n",
    "\n",
    "step=13\n",
    "sayac=1\n",
    "output_csv=dataset+str(sayac)+\"_\"+str(step)+\"_\"+str(mixed)+\".csv\"\n",
    "target_names=target_name(test)\n",
    "ML(train,test,output_csv,feature,step,mixed,dataset[2:-1]+\"_\"+str(step))   \n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.10.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}