{ "cells": [ { "cell_type": "markdown", "id": "d6ffc7b7", "metadata": {}, "source": [ "# 1.0 Importing libraries" ] }, { "cell_type": "code", "execution_count": 1, "id": "4ca597ab", "metadata": {}, "outputs": [], "source": [ "\"\"\"\n", "Description: Import libraries\n", "\"\"\"\n", "import numpy as np\n", "from sklearn.model_selection import train_test_split\n", "from sklearn import metrics\n", "import pandas as pd\n", "import os\n", "import random\n", "from humanfriendly import format_timespan\n", "from sklearn.preprocessing import MinMaxScaler\n", "from sklearn.ensemble import RandomForestClassifier\n", "import pickle\n", "# from sklearn.svm import SVC\n", "# from sklearn.linear_model import LogisticRegression" ] }, { "cell_type": "code", "execution_count": 2, "id": "fffc59ee", "metadata": {}, "outputs": [], "source": [ "\"\"\"\n", "Description: Specify data path\n", "\"\"\"\n", "data_path = r'data\\winequality_red_label_remapped.csv'" ] }, { "cell_type": "code", "execution_count": 3, "id": "5a2e912f", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", " | fixed acidity | \n", "volatile acidity | \n", "citric acid | \n", "residual sugar | \n", "chlorides | \n", "free sulfur dioxide | \n", "total sulfur dioxide | \n", "density | \n", "pH | \n", "sulphates | \n", "alcohol | \n", "quality | \n", "
---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | \n", "7.4 | \n", "0.70 | \n", "0.00 | \n", "1.9 | \n", "0.076 | \n", "11.0 | \n", "34.0 | \n", "0.9978 | \n", "3.51 | \n", "0.56 | \n", "9.4 | \n", "2 | \n", "
1 | \n", "7.8 | \n", "0.88 | \n", "0.00 | \n", "2.6 | \n", "0.098 | \n", "25.0 | \n", "67.0 | \n", "0.9968 | \n", "3.20 | \n", "0.68 | \n", "9.8 | \n", "2 | \n", "
2 | \n", "7.8 | \n", "0.76 | \n", "0.04 | \n", "2.3 | \n", "0.092 | \n", "15.0 | \n", "54.0 | \n", "0.9970 | \n", "3.26 | \n", "0.65 | \n", "9.8 | \n", "2 | \n", "
3 | \n", "11.2 | \n", "0.28 | \n", "0.56 | \n", "1.9 | \n", "0.075 | \n", "17.0 | \n", "60.0 | \n", "0.9980 | \n", "3.16 | \n", "0.58 | \n", "9.8 | \n", "3 | \n", "
4 | \n", "7.4 | \n", "0.70 | \n", "0.00 | \n", "1.9 | \n", "0.076 | \n", "11.0 | \n", "34.0 | \n", "0.9978 | \n", "3.51 | \n", "0.56 | \n", "9.4 | \n", "2 | \n", "
RandomForestClassifier(n_estimators=1000)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
RandomForestClassifier(n_estimators=1000)
RandomForestClassifier(n_estimators=1000)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
RandomForestClassifier(n_estimators=1000)