Upload HAR_Part_4.ipynb

HAR_Part_4.ipynb

@@ -0,0 +1,100 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "provenance": []
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "sBCf6C09cb6Q"
+      },
+      "outputs": [],
+      "source": [
+        "from prettytable import PrettyTable"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "ptable1 = PrettyTable()\n",
+        "ptable1.title = \" Model Comparision \"\n",
+        "ptable1.field_names = ['Model Name','Hyperparameter Tunning', 'Accuracy']\n",
+        "\n",
+        "print(\"\\n\\n ********** Machine Learning Model Comparision ************\")\n",
+        "ptable1.add_row([\"Logistic Regression\",\"Done\",\"95.83%\"])\n",
+        "ptable1.add_row([\"Linear SVC  \",\"Done\",\"96.74%\"])\n",
+        "ptable1.add_row([\"rbf SVM classifier\",\"Done\",\"96.27%\"])\n",
+        "ptable1.add_row([\"DecisionTree\",\"Done\",\"87.78%\"])\n",
+        "ptable1.add_row([\"Random Forest\",\"Done\",\"92.67%\"])\n",
+        "\n",
+        "print(ptable1)\n",
+        "# *****************************************************************\n",
+        "\n",
+        "ptable2 = PrettyTable()\n",
+        "ptable2.title = \" Model Comparision \"\n",
+        "ptable2.field_names = ['Model Name','Hyperparameter Tunning', 'categorical_crossentropy', 'Accuracy']\n",
+        "\n",
+        "print(\"\\n\\n ********************************* Deep Learning LSTM Model Comparision ***********************************\")\n",
+        "ptable2.add_row([\"LSTM With 1_Layer(neurons:32)\",\"Done\",\"0.47\", \"0.91\"])\n",
+        "ptable2.add_row([\"LSTM With 2_Layer(neurons:48, neurons:32)\",\"Done\",\"0.39\", \"0.91\"])\n",
+        "ptable2.add_row([\"LSTM With 2_Layer(neurons:64, neurons:48)\",\"Done\",\"0.27\", \"0.91\"])\n",
+        "\n",
+        "print(ptable2)"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "RwKBoh7lfHtY",
+        "outputId": "d04e7c3a-c526-413d-f3fa-4625f2442b98"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "\n",
+            "\n",
+            " ********** Machine Learning Model Comparision ************\n",
+            "+---------------------------------------------------------+\n",
+            "|                    Model Comparision                    |\n",
+            "+---------------------+------------------------+----------+\n",
+            "|      Model Name     | Hyperparameter Tunning | Accuracy |\n",
+            "+---------------------+------------------------+----------+\n",
+            "| Logistic Regression |          Done          |  95.83%  |\n",
+            "|     Linear SVC      |          Done          |  96.74%  |\n",
+            "|  rbf SVM classifier |          Done          |  96.27%  |\n",
+            "|     DecisionTree    |          Done          |  87.78%  |\n",
+            "|    Random Forest    |          Done          |  92.67%  |\n",
+            "+---------------------+------------------------+----------+\n",
+            "\n",
+            "\n",
+            " ********************************* Deep Learning LSTM Model Comparision ***********************************\n",
+            "+----------------------------------------------------------------------------------------------------------+\n",
+            "|                                            Model Comparision                                             |\n",
+            "+-------------------------------------------+------------------------+--------------------------+----------+\n",
+            "|                 Model Name                | Hyperparameter Tunning | categorical_crossentropy | Accuracy |\n",
+            "+-------------------------------------------+------------------------+--------------------------+----------+\n",
+            "|       LSTM With 1_Layer(neurons:32)       |          Done          |           0.47           |   0.92   |\n",
+            "| LSTM With 2_Layer(neurons:48, neurons:32) |          Done          |           0.39           |   0.89   |\n",
+            "| LSTM With 2_Layer(neurons:64, neurons:48) |          Done          |           0.27           |   0.91   |\n",
+            "+-------------------------------------------+------------------------+--------------------------+----------+\n"
+          ]
+        }
+      ]
+    }
+  ]
+}