{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import matplotlib as mpl\n", "from matplotlib import pyplot as plt\n", "\n", "fig_dpi = 200" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Different Train/Validation/Test Splits\n", "\n", "## Index\n", "0. train prop\n", "1. val prop\n", "2. test prop\n", "3. top-1 accuracy\n", "4. top-5 accuracy\n", "5. last val loss\n", "6. last val accuracy" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "split_results = np.array([\n", " [50, 5, 45, 8.14, 20.7, 5.77, 8.29],\n", " [50, 25, 25, 7.91, 20.9, 5.59, 8.41],\n", " [70, 15, 15, 15.81, 34.62, 4.92, 16.82],\n", " [80, 10, 10, 20.94, 44.1, 4.39, 24.45],\n", " [90, 5, 5, 20.62, 45.19, 4.17, 30.29]\n", "])" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "output_type": "display_data", "data": { "text/plain": "
", "image/svg+xml": "\n\n\n \n \n \n \n 2021-04-27T22:29:53.069840\n image/svg+xml\n \n \n Matplotlib v3.4.1, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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\n" }, "metadata": { "needs_background": "light" } } ], "source": [ "split_labels = [f\"{int(i[0])}/{int(i[1])}/{int(i[2])}\" for i in split_results]\n", "\n", "fig = plt.figure(figsize=(5, 3))\n", "fig.set_dpi(fig_dpi)\n", "\n", "plt.barh(range(len(split_labels)), [i[3] for i in split_results], tick_label=split_labels, label='Top-1')\n", "plt.barh(range(len(split_labels)), [i[4] - i[3] for i in split_results], tick_label=split_labels, label='Top-5', left=[i[3] for i in split_results])\n", "\n", "plt.legend()\n", "plt.grid(axis='x')\n", "plt.title('Accuracy for Dataset Split Proportions')\n", "plt.xlabel('% Test Accuracy')\n", "plt.ylabel('Dataset Split (Train/Val/Test)')\n", "\n", "plt.tight_layout()\n", "plt.savefig('split-barh.png')\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "name": "pythonjvsc74a57bd0333605e348ea7c6bf4ca805dbc845da062650cb5bf1d8f33f5f4a9d3bca7d68b", "display_name": "Python 3.9.3 ('.venv': venv)" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.3" }, "metadata": { "interpreter": { "hash": "333605e348ea7c6bf4ca805dbc845da062650cb5bf1d8f33f5f4a9d3bca7d68b" } } }, "nbformat": 4, "nbformat_minor": 4 }