{"id":145703,"date":"2025-06-30T18:56:54","date_gmt":"2025-06-30T13:26:54","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=145703"},"modified":"2025-06-30T18:56:54","modified_gmt":"2025-06-30T13:26:54","slug":"flight-booking-cancellation-prediction-using-decision-tree","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/flight-booking-cancellation-prediction-using-decision-tree\/","title":{"rendered":"ML Project &#8211; Flight Booking Cancellation Prediction using Decision Tree"},"content":{"rendered":"<h3>Program 1<\/h3>\n<p><a href=\"https:\/\/drive.google.com\/file\/d\/1wWnJMNAl1iw9fQUunT9Cj80rktP9VU2I\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\"><strong>Flight Booking Dataset<\/strong><\/a><\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\"># Flight Booking Cancellation Prediction Using Decision Tree\r\n# To build a machine learning model that predicts whether a booked flight will be canceled or not,\r\n# based on various attributes like source, destination, airline, travel class, halt type, and flight duration.\r\n\r\n# Flight Booking Canceltion\r\nimport pandas as pd\r\nfrom sklearn.preprocessing import LabelEncoder\r\nfrom sklearn.model_selection import train_test_split\r\nfrom sklearn.tree import DecisionTreeClassifier\r\nfrom sklearn.metrics import accuracy_score\r\n\r\n# Load Data Set\r\ndf_fl=pd.read_csv(\"D:\/\/scikit_data\/flight\/flight_booking_data.csv\")\r\n\r\ndf_fl.head()\r\n\r\ndf_fl.shape\r\n\r\ndf_fl.info()\r\n\r\n# Label Encoding\r\nle=LabelEncoder()\r\ndf_fl['Source_new']=le.fit_transform(df_fl['Source'])\r\ndf_fl['Destination_new']=le.fit_transform(df_fl['Destination'])\r\ndf_fl['Airline_new']=le.fit_transform(df_fl['Airline'])\r\ndf_fl['TravelClass_new']=le.fit_transform(df_fl['TravelClass'])\r\ndf_fl['Halt_new']=le.fit_transform(df_fl['Halt'])\r\n\r\ndf_fl.head()\r\n\r\ndf_fl=df_fl.drop(['Source','Destination','Airline','TravelClass','Halt'],axis='columns')\r\n\r\ndf_fl\r\n\r\n# Independed(input) and Depended(output) variables\r\n\r\ndf_input=df_fl.drop('Cancellation',axis='columns')\r\n\r\ndf_input\r\n\r\n# Depended Variables\r\ndf_output=df_fl.drop(['Source_new','Destination_new','Airline_new','TravelClass_new','Halt_new','Duration'],axis='columns')out\r\n\r\ndf_output\r\n\r\n# Create Model\r\nmodel=DecisionTreeClassifier()\r\n\r\nmodel.fit(df_input,df_output)\r\n\r\nmodel\r\n\r\nmodel.score(df_input,df_output)\r\n\r\ndf_fl.head()\r\n\r\nmodel.predict([[2,3,1,1,2.0,0]])\r\n\r\ndf_fl\r\n\r\nsrc=int(input(\"Enter Source(Bangalore-0, Chennai-1,Delhi-2,Kolkata-3,Mumbai-4 ) :\"))\r\ndest=int(input(\"Enter Destination(Bangalore-0, Chennai-1,Delhi-2,Kolkata-3,Mumbai-4) :\"))\r\nal=int(input(\"Enter Airline:(Vistara-0,Air India-1,GoAir-2,IndiGo-3,SpiceJet-4) :\"))\r\ntc=int(input(\"Enter TravelClass(Business-0, Economy-1) :\"))\r\ndur=float(input(\"Enter Duration  :\"))\r\nhlt=float(input(\"Enter Halt (Stop -0 , Non-stop 1)  :\"))\r\nresult=model.predict([[src,dest,al,tc,dur,hlt]])\r\nif(result==1):\r\n    print(\"********Flight Cancelled*******\")\r\nelse:\r\n    print(\".......Flight Not Cancel Enjoy your trip.....\")\r\n<\/pre>\n<p>&nbsp;<\/p>\n<p>&nbsp;<span hidden class=\"__iawmlf-post-loop-links\" data-iawmlf-links=\"[{&quot;id&quot;:38,&quot;href&quot;:&quot;https:\\\/\\\/drive.google.com\\\/file\\\/d\\\/1wWnJMNAl1iw9fQUunT9Cj80rktP9VU2I\\\/view?usp=sharing&quot;,&quot;archived_href&quot;:&quot;http:\\\/\\\/web-wp.archive.org\\\/web\\\/20251205110913\\\/https:\\\/\\\/drive.google.com\\\/file\\\/d\\\/1wWnJMNAl1iw9fQUunT9Cj80rktP9VU2I\\\/view?usp=sharing&quot;,&quot;redirect_href&quot;:&quot;&quot;,&quot;checks&quot;:[{&quot;date&quot;:&quot;2025-12-21 05:05:21&quot;,&quot;http_code&quot;:503},{&quot;date&quot;:&quot;2026-01-10 13:04:10&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-01-14 15:43:28&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-02-28 07:33:20&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-04-11 17:45:26&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-04-18 15:58:34&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-04-29 04:52:15&quot;,&quot;http_code&quot;:200}],&quot;broken&quot;:false,&quot;last_checked&quot;:{&quot;date&quot;:&quot;2026-04-29 04:52:15&quot;,&quot;http_code&quot;:200},&quot;process&quot;:&quot;done&quot;}]\"><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Program 1 Flight Booking Dataset # Flight Booking Cancellation Prediction Using Decision Tree # To build a machine learning model that predicts whether a booked flight will be canceled or not, # based on&#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":[3626,34774,34776,34773,8431,33128,20697,8469,34775],"class_list":["post-145703","post","type-post","status-publish","format-standard","hentry","category-machine-learning","tag-decision-tree","tag-flight-booking-cancellation-prediction","tag-flight-booking-cancellation-prediction-project","tag-flight-booking-cancellation-prediction-using-decision-tree","tag-machine-learning","tag-machine-learning-program","tag-machine-learning-project","tag-machine-learning-tutorial","tag-ml-flight-booking-cancellation-prediction"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>ML Project - Flight Booking Cancellation Prediction using Decision Tree - DataFlair<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/data-flair.training\/blogs\/flight-booking-cancellation-prediction-using-decision-tree\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"ML Project - Flight Booking Cancellation Prediction using Decision Tree - DataFlair\" \/>\n<meta property=\"og:description\" content=\"Program 1 Flight Booking Dataset # 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