From e41a466c97ff7b8fccb295cf3eb13b8b43fe0042 Mon Sep 17 00:00:00 2001
From: Ashwin Raj <62590141+ashwinraj-in@users.noreply.github.com>
Date: Thu, 26 Mar 2020 17:40:19 +0530
Subject: [PATCH] Updated Machine Learning with Iris Dataset.ipynb

Added code to  import metrics and train_test_split from sklearn module.
The execution count for the cell has been added hypothetically.
---
 Machine Learning with Iris Dataset.ipynb | 15 +++++++++++++++
 1 file changed, 15 insertions(+)

diff --git a/Machine Learning with Iris Dataset.ipynb b/Machine Learning with Iris Dataset.ipynb
index 453b0d3..3c979a0 100644
--- a/Machine Learning with Iris Dataset.ipynb	
+++ b/Machine Learning with Iris Dataset.ipynb	
@@ -449,6 +449,20 @@
     "## Splitting The Data into Training And Testing Dataset"
    ]
   },
+  {
+    "cell_type": "code",
+    "metadata": {
+      "id": "1RBGzEfbsuEY",
+      "colab_type": "code",
+      "colab": {}
+    },
+    "source": [
+      "from sklearn.linear_model import LogisticRegression # for Logistic Regression Algorithm\n",
+      "from sklearn import metrics"
+    ],
+    "execution_count": 0,
+    "outputs": []
+  },
   {
    "cell_type": "code",
    "execution_count": 21,
@@ -466,6 +480,7 @@
     }
    ],
    "source": [
+    "from sklearn.model_selection import train_test_split\n",
     "train, test = train_test_split(iris, test_size=0.3) # our main data split into train and test\n",
     "# the attribute test_size=0.3 splits the data into 70% and 30% ratio. train=70% and test=30%\n",
     "print(train.shape)\n",