[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-290747-105":59,"doc-detail-290747-en":131},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":124,"head_meta":126,"extra_data":128,"updated_unix":130},105,"en","rain-fall-prediction-using-ada-boost-machine-learning-ensemble-algorithm","Rain Fall Prediction using Ada Boost Machine Learning Ensemble Algorithm","","Rainfall prediction supports climate adaptation and public safety by mitigating disasters such as drought, flooding, and flash floods. Existing statistical approaches using SVM, decision trees, and logistic regression often underperform due to the dynamic atmosphere. This research extracts weather features including temperature, relative humidity, dew point, solar radiation, and precipitable water vapour, then applies an Ada Boost ensemble machine learning approach. Using an India dataset from 1901–2015, the Ada Boost method is evaluated with R and compared to SVM, showing improved accuracy with reduced error.",{"@graph":69,"@context":123},[70,84,106],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/rain-fall-prediction-using-ada-boost-machine-learning-ensemble-algorithm/290747/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/rain-fall-prediction-using-ada-boost-machine-learning-ensemble-algorithm/290747.png","ImageObject",300,407,{"name":92,"@type":93},"Riley","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-03","2026-09-17",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",13,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"Why is rainfall prediction considered important in the paper?","Question",{"text":113,"@type":114},"Rainfall prediction helps prevent fatalities from natural disasters, supports safer outdoor activities, and improves planning for issues like traffic control and sewer system functioning during heavy rainfall.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"Which weather features are extracted for rainfall prediction?",{"text":118,"@type":114},"The paper extracts temperature, relative humidity, dew point, solar radiation, and precipitable water vapour for the prediction task.",{"name":120,"@type":111,"acceptedAnswer":121},"What machine learning method is proposed for rainfall prediction?",{"text":122,"@type":114},"An Ada Boost ensemble classifier is proposed, using multiple learners where Adaptive Boosting builds a strong classifier from weak classifiers.","https://schema.org",{"og:url":83,"og:type":125,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":127,"canonical":83},"index,follow",{"doc_id":129,"site_id":62},290747,1789642494,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":92,"user_avatar":134,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":140,"language":141,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":142,"faqs":143,"seo_title":144,"seo_description":67,"update_tm":130,"read_time":145,"preview_page_count":4},1374391975076,"https://ap-avatar.wpscdn.com/avatar/14000253ca4ec9f6853?x-image-process=image/resize,m_fixed,w_180,h_180&k=1783305029341752051","Rain Fall Prediction using Ada Boost Machine Learning Ensemble Algorithm  \nDr. P. Senthil Kumaria*, M. Naga Swathib  \na* Research Supervisor, Department of Computer Science, Alagappa University, Karaikudib Assistant Professor, Department of Computer Science, Velu Manoharan Arts and Science  \nCollege, Ramanathapuram  \nAbstract:  \nEvery government takes initiative for the well-being of their citizens in terms of environment and climate in which they live. Global warming is one of the reason for climate change. With the help of machine learning algorithms in the flash light of Artificial Intelligence and Data Mining techniques, weather predictions not only rainfall, lightings, thunder outbreaks, etc. can be predicted. Management of water reservoirs, flooding, traffic-control in smart cities, sewer system functioning and agricultural production are the hydro-meteorological factors that affect human life very drastically. Due to dynamic nature of atmosphere, existing Statistical techniques (Support Vector Machine (SVM), Decision Tree (DT) and logistic regression (LR)) fail to provide good accuracy for rainfall forecasting. Different weather features (Temperature, Relative Humidity, Dew Point, Solar Radiation and Precipitable Water Vapour) are extracted for rainfall prediction. In this research work, data analysis using machine learning ensemble algorithm like Adaptive Boosting (Ada Boost) is proposed. Dataset used for this classification application is taken from hydrological department, India from 1901-2015. Overall, proposed algorithm is feasible to be used in order to qualitatively predict rainfall with the help of R tool and Ada Boost algorithm. Accuracy rate and error false rates are compared with the existing Support Vector Machine (SVM) algorithm and the proposed one gives the better result.  \nKey Words: Precipitable Water Vapour, Machine Learning (ML), Adaptive Boosting, Artificial intelligence  \n*Corresponding author Email: [senthilmathimca@gmail.com](senthilmathimca@gmail.com)  \n1. Introduction  \nRain, hail and snow – precipitation in any form affect the cricket match or any outdoor activities. Rainfall is the atmospheric occurrence useful for the environment and all living things on the globe. Rainfall prediction can prevent fatalities caused by natural disasters (drought), preventing agricultural products and water levels in reservoirs. Rainfall affects the day-to-day life activities such as traffic control in smart cities and sewer system functionalities. Heavy rainfall creates flood, which is a life threatening event causing dengue and cholera. Flash flooding affects water security and economic stability. These are the reasons why rainfall prediction is the need of the hour. Several hydro-meteorological factors are considered for rainfall prediction. Rainfall prediction using machine-learning algorithms under the influence of Artificial Intelligence and Data mining technique can yield better accuracy.  \nStatistical forecasting, environmental machine learning, weather data mining and operational hydrology are the various domains involved in the researches carried out for the rainfall prediction. Knowledge Discovery in Databases (KDD) is the core concept of data mining technique. Today’s researchers mainly focus on knowledge extraction from time series data. Hourly, daily, weekly, monthly and yearly specific time interval historical rainfall data are used for rainfall prediction. Precipitation prediction is used for rainfall forecasting analysis using time series data mining technique. Strati form, convective rain, orographic rain, tropical storm, thunderstorm and cyclones are the different types of rainfall.  \nStandard statistical methods and time series data mining techniques are used for climate prediction. Descriptive statistical method, inferential statistical method, associational statistical method, predictive method, prescriptive method, exploratory method and casual method are the various statistical methods us","cbCaivFh2CcQr11p","https://ap.wps.com/l/cbCaivFh2CcQr11p","pdf",438721,15,"English","# Introduction\n## Background Study\n## Weather forecasting and rainfall prediction methods\n## Proposed Ada Boost ensemble approach\n## Paper organization and section overview","[{\"question\":\"Why is rainfall prediction considered important in the paper?\",\"answer\":\"Rainfall prediction helps prevent fatalities from natural disasters, supports safer outdoor activities, and improves planning for issues like traffic control and sewer system functioning during heavy rainfall.\"},{\"question\":\"Which weather features are extracted for rainfall prediction?\",\"answer\":\"The paper extracts temperature, relative humidity, dew point, solar radiation, and precipitable water vapour for the prediction task.\"},{\"question\":\"What machine learning method is proposed for rainfall prediction?\",\"answer\":\"An Ada Boost ensemble classifier is proposed, using multiple learners where Adaptive Boosting builds a strong classifier from weak classifiers.\"}]","Rain Fall Prediction using Ada Boost Machine Learning Ensemble Algorithm | PDF",38]