kleemann_mse_results.ipynb

{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"authorship_tag":"ABX9TyMcAuOne8OrDjSVivPkIx0L"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"code","execution_count":1,"metadata":{"id":"9tnvSfZ38iC6","executionInfo":{"status":"ok","timestamp":1670783671510,"user_tz":-120,"elapsed":645,"user":{"displayName":"Anastasios Tzelepakis","userId":"06794205193158144204"}}},"outputs":[],"source":["import pandas as pd\n","import matplotlib.pyplot as plt\n","import numpy as np"]},{"cell_type":"code","source":["speed_up_mse = [0.0001530671725049615,\n","                0.00012985985085833818, \n","                0.0001369089586660266,\n","                0.00043566991449348345]\n","\n","noise_up_mse = [32.84317398071289,\n","                32.884490966796875, \n","                32.58635330200195,\n","                186.33457889817868]\n","\n","pressure_up_mse = [3.6679437160491943,\n","                   3.7938895225524902, \n","                   3.7087481021881104,\n","                   3.686643904912635]\n","\n","speed_down_mse = [0.0001374954590573907,\n","                  0.00012482416059356183, \n","                  0.00011177156557096168,\n","                  0.0009505857370962825]\n","\n","noise_down_mse = [23.53449249267578,\n","                  26.1539306640625, \n","                  23.26426887512207,\n","                  23.473212404876147]\n","\n","pressure_down_mse = [2.8346521854400635,\n","                    3.0737032890319824, \n","                    2.8366451263427734,\n","                    2.1495999825438963]"],"metadata":{"id":"HUd2WTZn84e6","executionInfo":{"status":"ok","timestamp":1670783671511,"user_tz":-120,"elapsed":6,"user":{"displayName":"Anastasios Tzelepakis","userId":"06794205193158144204"}}},"execution_count":2,"outputs":[]},{"cell_type":"code","source":["features = [\"SPEED UP\", \"NOISE UP\", \"PRESSURE UP\", \"SPEED DOWN\", \"NOISE DOWN\", \"PRESSURE DOWN\"]\n","archs = [\"NN\", \"CNN\", \"LSTM\", \"ARIMA\"]\n","mses = [speed_up_mse, noise_up_mse, pressure_up_mse, speed_down_mse, noise_down_mse, pressure_down_mse]"],"metadata":{"id":"vn-8WtZq_V1D","executionInfo":{"status":"ok","timestamp":1670783671512,"user_tz":-120,"elapsed":7,"user":{"displayName":"Anastasios Tzelepakis","userId":"06794205193158144204"}}},"execution_count":3,"outputs":[]},{"cell_type":"code","source":["fig, axs = plt.subplots(nrows=3, ncols=2, figsize=(7, 7))\n","\n","for i in range(int(len(features) / 2)):\n","    feature_a, feature_b = features[i], features[i+3]\n","    \n","    # plot time signal:\n","    axs[i, 0].set_title(f\"{feature_a}\")\n","    axs[i, 0].bar(archs,mses[i])\n","    axs[i, 0].grid(axis='y')\n","\n","    # plot different spectrum types:\n","    axs[i, 1].set_title(f\"{feature_b}\")\n","    axs[i, 1].bar(archs,mses[i+3])\n","    axs[i, 1].grid(axis='y')\n","\n","fig.tight_layout()\n","plt.savefig(\"mses_results.png\")\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":513},"id":"2Ig9_1qF_jc-","executionInfo":{"status":"ok","timestamp":1670783672968,"user_tz":-120,"elapsed":1462,"user":{"displayName":"Anastasios Tzelepakis","userId":"06794205193158144204"}},"outputId":"8300f932-c42b-44a8-8d49-27f9dcfa1e28"},"execution_count":4,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 504x504 with 6 Axes>"],"image/png":"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\n"},"metadata":{"needs_background":"light"}}]}]}