models created

proficiency-identification.ipynb

@@ -72,6 +72,68 @@
     "                                                    random_state=42\n",
     "                                                    )"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Models"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import seaborn as sns\n",
+    "from sklearn.svm import SVC\n",
+    "from xgboost import XGBClassifier\n",
+    "from matplotlib import pyplot as plt\n",
+    "from sklearn.neighbors import KNeighborsClassifier\n",
+    "from sklearn.ensemble import RandomForestClassifier\n",
+    "from sklearn.metrics import confusion_matrix, classification_report"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Random Forest Classifier\n",
+    "rfc = RandomForestClassifier(\n",
+    "                            n_estimators=100, \n",
+    "                            random_state=42\n",
+    "                            )\n",
+    "rfc.fit(X, Y)\n",
+    "print(\"Random Forest Classifier Trained\")\n",
+    "\n",
+    "# XGBoost Classifier\n",
+    "xgb = XGBClassifier(\n",
+    "                    n_estimators=100,   \n",
+    "                    random_state=42\n",
+    "                    )\n",
+    "xgb.fit(X, Y)\n",
+    "print(\"XGBoost Classifier Trained\")\n",
+    "\n",
+    "# Support Vector Machine\n",
+    "svc = SVC(\n",
+    "        kernel='linear',\n",
+    "        random_state=42\n",
+    "        )\n",
+    "svc.fit(X, Y)\n",
+    "print(\"Support Vector Machine Trained\")\n",
+    "\n",
+    "# KNN Classifier\n",
+    "knn = KNeighborsClassifier(\n",
+    "                            n_neighbors=5,\n",
+    "                            metric='minkowski',\n",
+    "                            p=2\n",
+    "                            )\n",
+    "knn.fit(X, Y)\n",
+    "print(\"KNN Classifier Trained\")"
+   ]
   }
  ],
  "metadata": {