Add. Outlier Removal / Smooth

竞赛优胜技巧/.ipynb_checkpoints/Feature Engineering Techniques-checkpoint.ipynb

@@ -243,7 +243,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0ef70ec2",
+   "id": "f72a6efa",
    "metadata": {},
    "source": [
     "## 分类特征\n",
@@ -253,7 +253,7 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "id": "38d54603",
+   "id": "224ba994",
    "metadata": {},
    "outputs": [
     {
@@ -280,7 +280,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7cca3ea7",
+   "id": "ba369f7a",
    "metadata": {},
    "source": [
     "## Splitting\n",
@@ -291,7 +291,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "735d477e",
+   "id": "6512d8e2",
    "metadata": {},
    "source": [
     "## 组合/转化/交互\n",
@@ -301,7 +301,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "f79c747e",
+   "id": "7e1bbabe",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -310,7 +310,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "12240f96",
+   "id": "f195a2c7",
    "metadata": {},
    "source": [
     "这有助于LGBM将card1和card2一起去与目标关联，并不会在树节点分裂他们。\n",
@@ -321,7 +321,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "baed14ad",
+   "id": "8f2bea13",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -330,7 +330,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "56db7969",
+   "id": "a8ab1bcb",
    "metadata": {},
    "source": [
     "## 频率编码\n",
@@ -340,7 +340,7 @@
   {
    "cell_type": "code",
    "execution_count": 19,
-   "id": "30ff5b0b",
+   "id": "87cca857",
    "metadata": {},
    "outputs": [
     {
@@ -420,7 +420,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "13d14185",
+   "id": "7986b33c",
    "metadata": {},
    "source": [
     "## 聚合/组统计\n",
@@ -432,7 +432,7 @@
   {
    "cell_type": "code",
    "execution_count": 20,
-   "id": "373291cf",
+   "id": "e8f7106e",
    "metadata": {},
    "outputs": [
     {
@@ -518,7 +518,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e638bb48",
+   "id": "9da30631",
    "metadata": {},
    "source": [
     "此处的功能向每一行添加color_counts该行color组的平均值。因此，LGBM 现在可以判断color_counts对它们的color组是否为极少数的部分。"
@@ -526,7 +526,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "90d66547",
+   "id": "790eb030",
    "metadata": {},
    "source": [
     "## 标准化\n",
@@ -536,7 +536,7 @@
   {
    "cell_type": "code",
    "execution_count": 22,
-   "id": "b60781c7",
+   "id": "14474d08",
    "metadata": {},
    "outputs": [
     {
@@ -611,7 +611,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5e7c1b67",
+   "id": "cdfb237a",
    "metadata": {},
    "source": [
     "或者你可以针对一列标准化另一列。例如，如果你创建一个组统计数据（如上所述）来指示D3每周的平均值。然后你可以通过"
@@ -620,7 +620,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "19520699",
+   "id": "d426927e",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -629,7 +629,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "28892593",
+   "id": "78fc4991",
    "metadata": {},
    "source": [
     "D3_remove_time随着时间的推移，新变量不再增加，因为我们已经针对时间的影响对其进行了标准化。"
@@ -637,11 +637,22 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ecf0eb32",
+   "id": "da699903",
    "metadata": {},
    "source": [
-    "## 离群值去除/平滑"
+    "## 离群值去除/平滑\n",
+    "通常，你希望从数据中删除异常，因为它们会混淆你的模型。然而，在风控等比赛中，我们想要发现异常，所以要谨慎使用平滑技术。\n",
+    "\n",
+    "这些方法背后的想法是确定和删除不常见的值。例如，通过使用变量的频率编码，你可以删除所有出现小于 0.1% 的值，方法是将它们替换为 -9999 之类的新值（请注意，您应该使用与 NAN 使用的值不同的值）。"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "19087e59",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {

竞赛优胜技巧/Feature Engineering Techniques.ipynb

@@ -243,7 +243,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0ef70ec2",
+   "id": "f72a6efa",
    "metadata": {},
    "source": [
     "## 分类特征\n",
@@ -253,7 +253,7 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "id": "38d54603",
+   "id": "224ba994",
    "metadata": {},
    "outputs": [
     {
@@ -280,7 +280,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7cca3ea7",
+   "id": "ba369f7a",
    "metadata": {},
    "source": [
     "## Splitting\n",
@@ -291,7 +291,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "735d477e",
+   "id": "6512d8e2",
    "metadata": {},
    "source": [
     "## 组合/转化/交互\n",
@@ -301,7 +301,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "f79c747e",
+   "id": "7e1bbabe",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -310,7 +310,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "12240f96",
+   "id": "f195a2c7",
    "metadata": {},
    "source": [
     "这有助于LGBM将card1和card2一起去与目标关联，并不会在树节点分裂他们。\n",
@@ -321,7 +321,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "baed14ad",
+   "id": "8f2bea13",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -330,7 +330,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "56db7969",
+   "id": "a8ab1bcb",
    "metadata": {},
    "source": [
     "## 频率编码\n",
@@ -340,7 +340,7 @@
   {
    "cell_type": "code",
    "execution_count": 19,
-   "id": "30ff5b0b",
+   "id": "87cca857",
    "metadata": {},
    "outputs": [
     {
@@ -420,7 +420,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "13d14185",
+   "id": "7986b33c",
    "metadata": {},
    "source": [
     "## 聚合/组统计\n",
@@ -432,7 +432,7 @@
   {
    "cell_type": "code",
    "execution_count": 20,
-   "id": "373291cf",
+   "id": "e8f7106e",
    "metadata": {},
    "outputs": [
     {
@@ -518,7 +518,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e638bb48",
+   "id": "9da30631",
    "metadata": {},
    "source": [
     "此处的功能向每一行添加color_counts该行color组的平均值。因此，LGBM 现在可以判断color_counts对它们的color组是否为极少数的部分。"
@@ -526,7 +526,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "90d66547",
+   "id": "790eb030",
    "metadata": {},
    "source": [
     "## 标准化\n",
@@ -536,7 +536,7 @@
   {
    "cell_type": "code",
    "execution_count": 22,
-   "id": "b60781c7",
+   "id": "14474d08",
    "metadata": {},
    "outputs": [
     {
@@ -611,7 +611,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5e7c1b67",
+   "id": "cdfb237a",
    "metadata": {},
    "source": [
     "或者你可以针对一列标准化另一列。例如，如果你创建一个组统计数据（如上所述）来指示D3每周的平均值。然后你可以通过"
@@ -620,7 +620,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "19520699",
+   "id": "d426927e",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -629,7 +629,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "28892593",
+   "id": "78fc4991",
    "metadata": {},
    "source": [
     "D3_remove_time随着时间的推移，新变量不再增加，因为我们已经针对时间的影响对其进行了标准化。"
@@ -637,11 +637,22 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ecf0eb32",
+   "id": "da699903",
    "metadata": {},
    "source": [
-    "## 离群值去除/平滑"
+    "## 离群值去除/平滑\n",
+    "通常，你希望从数据中删除异常，因为它们会混淆你的模型。然而，在风控等比赛中，我们想要发现异常，所以要谨慎使用平滑技术。\n",
+    "\n",
+    "这些方法背后的想法是确定和删除不常见的值。例如，通过使用变量的频率编码，你可以删除所有出现小于 0.1% 的值，方法是将它们替换为 -9999 之类的新值（请注意，您应该使用与 NAN 使用的值不同的值）。"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "19087e59",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {