{"id":145656,"date":"2025-06-25T12:34:12","date_gmt":"2025-06-25T07:04:12","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=145656"},"modified":"2025-06-25T12:34:12","modified_gmt":"2025-06-25T07:04:12","slug":"iris-flower-prediction-using-random-forest-algorithm","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/iris-flower-prediction-using-random-forest-algorithm\/","title":{"rendered":"ML Project &#8211; Iris Flower Prediction using Random Forest Algorithm"},"content":{"rendered":"<h3>Program 1<\/h3>\n<p><a href=\"https:\/\/drive.google.com\/file\/d\/1DrAJbHYCAHY5j-olk2Pgy0WdlrKR_6Vi\/view?usp=sharing\"><strong>Iris Dataset<\/strong><\/a><\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\">import pandas as pd\r\nimport numpy as np\r\nfrom sklearn.preprocessing import LabelEncoder\r\nfrom sklearn.model_selection import train_test_split\r\nfrom sklearn.metrics import confusion_matrix\r\nfrom sklearn.ensemble import RandomForestClassifier\r\n\r\ndf=pd.read_csv(\"D:\/\/scikit_data\/IrisData\/Iris.csv\")\r\n\r\ndf.head()\r\n\r\ndf.shape\r\n\r\ndf.info()\r\n\r\ndf.isnull().sum()\r\n\r\ndf=df.drop('Id',axis='columns')\r\n\r\ndf.head()\r\n\r\nle=LabelEncoder()\r\ndf['Type_new']=le.fit_transform(df['Type'])\r\n\r\ndf.head()\r\n\r\ndf\r\n\r\ndf=df.drop('Type',axis='columns')\r\n\r\ndf.head()\r\n\r\n# Independed and Depended variables\r\n# Depended variables\r\nx=df.drop('Type_new',axis='columns')\r\n\r\nx\r\n\r\n# Depended variables\r\ny=df.Type_new\r\n\r\ny\r\n\r\nlen(x)\r\n\r\nlen(y)\r\n\r\n# Split Data set into training and testing\r\nx_train,x_test,y_train,y_test=train_test_split(x,y,test_size=0.2)\r\n\r\nlen(x_train)\r\n\r\nlen(x_test)\r\n\r\nlen(y_train)\r\n\r\nlen(y_test)\r\n\r\n# Prepare model Random Forest\r\nmodel=RandomForestClassifier(n_estimators=50)\r\n\r\nmodel.fit(x_train,y_train)\r\n\r\nmodel.score(x_test,y_test)\r\n\r\ny_pred_test=model.predict(x_test)\r\n\r\ny_pred_test\r\n\r\ncm=confusion_matrix(y_test,y_pred_test)\r\ncm\r\n\r\ny_pred_train=model.predict(x_train)\r\n\r\ny_pred_train\r\n\r\nmodel.score(x_train,y_train)\r\n\r\nm=model.predict([[6.9,3.2,5.7,2.3]])\r\nif(m==0):\r\n    print('Iris-setosa')\r\nelif(m==1):\r\n    print('Iris-versicolor')\r\nelse:\r\n    print('Iris-virginica')\r\n<\/pre>\n<p>&nbsp;<span hidden class=\"__iawmlf-post-loop-links\" 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09:06:59&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-04-27 13:27:13&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-05-07 06:33:11&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-05-21 05:03:49&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-05-31 01:53:48&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-06-15 13:46:40&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-06-25 03:08:00&quot;,&quot;http_code&quot;:200}],&quot;broken&quot;:false,&quot;last_checked&quot;:{&quot;date&quot;:&quot;2026-06-25 03:08:00&quot;,&quot;http_code&quot;:200},&quot;process&quot;:&quot;done&quot;}]\"><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Program 1 Iris Dataset import pandas as pd import numpy as np from sklearn.preprocessing import LabelEncoder from sklearn.model_selection import train_test_split from sklearn.metrics import confusion_matrix from sklearn.ensemble import RandomForestClassifier df=pd.read_csv(&#8220;D:\/\/scikit_data\/IrisData\/Iris.csv&#8221;) df.head() df.shape df.info() df.isnull().sum() df=df.drop(&#8216;Id&#8217;,axis=&#8217;columns&#8217;)&#46;&#46;&#46;<\/p>\n","protected":false},"author":581,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[36],"tags":[34732,34730,34731,8431,33127,33128,20697,34733],"class_list":["post-145656","post","type-post","status-publish","format-standard","hentry","category-machine-learning","tag-iris-flower-prediction","tag-iris-flower-prediction-using-random-forest-algorithm","tag-iris-flower-prediction-using-random-forest-algorithm-in-ml","tag-machine-learning","tag-machine-learning-practical","tag-machine-learning-program","tag-machine-learning-project","tag-random-forest-algorithm"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ 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