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    "# Retrying some regression\n",
    "\n",
    "## Instructions\n",
    "\n",
    "In the section, you used a subset of the pumpkin data. Now, go back to the original data and try to use all of it, cleaned and standardized, to build a Logistic Regression model.\n",
    "\n",
    "## Rubric\n",
    "\n",
    "| Criteria | Exemplary                                                               | Adequate                                                     | Needs Improvement                                           |\n",
    "| -------- | ----------------------------------------------------------------------- | ------------------------------------------------------------ | ----------------------------------------------------------- |\n",
    "|          | A notebook is presented with a well-explained and well-performing model | A notebook is presented with a model that performs minimally | A notebook is presented with a sub-performing model or none |\n",
    "\n",
    "## Acknowledgments\n",
    "\n",
    "Thanks to Microsoft for creating the open-source course [ML-For-Beginners](https://github.com/microsoft/ML-For-Beginners). It inspires the majority of the content in this chapter."
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