From ddace8ef9fd95cc6b09eecd0b325ac54d1d33825 Mon Sep 17 00:00:00 2001
From: rsankarpollachi <61118045+rsankarpollachi@users.noreply.github.com>
Date: Thu, 2 Sep 2021 17:34:31 +0530
Subject: [PATCH] Advantages and Disadvantages added as in Video

### Advantages
1. Easy to implement
2. Captures the importance of missingess if there is one

### Dsiadvantages
1. Distorts the original distribution of the variale
2. If missingess is not importrant, it may mask the predictive power of the original variable by distorting its distribution
3. if the number of NA is big, it will mask the true outliers in the distribution
4. if the number of NA is small, the replaced NA may be considered an outlier and pre-processed in a subsequent feature engineering
---
 Feature Engineering- Missing Values Day 2.ipynb | 17 +++++++++++++++++
 1 file changed, 17 insertions(+)

diff --git a/Feature Engineering- Missing Values Day 2.ipynb b/Feature Engineering- Missing Values Day 2.ipynb
index c7cc2fb..aaf0887 100644
--- a/Feature Engineering- Missing Values Day 2.ipynb	
+++ b/Feature Engineering- Missing Values Day 2.ipynb	
@@ -1215,6 +1215,23 @@
     "sns.boxplot('Age_end_distribution',data=df)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Advantages\n",
+    "1. Easy to implement\n",
+    "2. Captures the importance of missingess if there is one\n",
+    "\n",
+    "### Dsiadvantages\n",
+    "1. Distorts the original distribution of the variale\n",
+    "2. If missingess is not importrant, it may mask the predictive power of the original variable by distorting its distribution\n",
+    "3. if the number of NA is big, it will mask the true outliers in the distribution\n",
+    "4. if the number of NA is small, the replaced NA may be considered an outlier and pre-processed in a subsequent feature engineering\n",
+    "\n",
+    "    "
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,