{"store":{"baseInfo":{"podcastTitle":"Data Science at Home","slug":"datascienceathome","podcastDescription":"Technology, AI, machine learning and algorithms. Come join the discussion on Discord! \nhttps://discord.gg/4UNKGf3","podcastLogo":"https://pbcdn1.podbean.com/imglogo/image-logo/1799802/dsh-cover-2.jpg","podcastShareLogo":"https://d2bwo9zemjwxh5.cloudfront.net/image-logo/1799802/dsh-cover-2_1200x628.jpg?s=f0daa5efa3ab8f164c3a39785ecdcf88&e=jpg","podcastUrl":"https://datascienceathome.podbean.com","podcastCanSearched":true,"feedUrl":"https://feed.podbean.com/datascienceathome/feed.xml","theme":"playlist2","podcastDeepLink":"https://www.podbean.com/pu/pbblog-jbsst-1b767a","removePodbeanBranding":"no","brandingLogo":null,"timeZone":{"timeZoneId":33,"gmtAdjustment":"GMT+01:00","useDaylightTime":1,"value":1,"text":"(GMT+01:00) Brussels, Copenhagen, Madrid, Paris","daylightStartTime":"Second Sunday Of March +2 Hours","daylightEndTime":"First Sunday Of November +2 Hours","timezone":"Europe/Brussels"},"podcastDownloads":null,"totalEpisodes":275,"showComments":true,"iOSAppDownloadLink":null,"customizeCssUrl":null,"androidAppDownloadLink":null,"showPostShare":true,"showLike":true,"author":"Francesco Gadaleta","engagementStatsBaseUrl":null,"shareEmbedLink":"https://admin5.podbean.com/embed.html?id=pbblog-jbsst-1b767a-playlist","language":"en","sensitivitySessionExpireTime":3600,"podcastApps":[{"name":"Podbean App","link":"https://r4j68.app.goo.gl/?link=https%3A%2F%2Fdatascienceathome.podbean.com%3Faction%3DopenPodcast%26podcastId%3Dpbblog1799802%26podcastIdTag%3Djbsst&dfl=https%3A%2F%2Fdatascienceathome.podbean.com&utm_campaign=pb_web&utm_source=podbean_web&utm_medium=dlink&imv=670&amv=530&isi=973361050&ibi=com.podbean.app.podcast&ipbi=com.podbean.app.podcast&apn=com.podbean.app.podcast","image":"https://pbcdn1.podbean.com/fs1/site/images/admin5/podbean-app.png","title":null},{"name":"Spotify","link":"https://open.spotify.com/show/57AJ6GiMDPVBLGRqvjeoz6","image":"https://pbcdn1.podbean.com/fs1/site/images/admin5/spotify.png","title":null},{"name":"Amazon Music","link":"https://music.amazon.com/podcasts/d705e79f-09d4-4771-8d75-c8593b528fb0","image":"https://pbcdn1.podbean.com/fs1/site/images/admin5/AmazonMusic.png","title":null},{"name":"iHeartRadio","link":"https://iheart.com/podcast/132441556","image":"https://pbcdn1.podbean.com/fs1/site/images/admin5/iHeartRadio.png","title":null},{"name":"PlayerFM","link":"https://player.fm/series/3497898","image":"https://pbcdn1.podbean.com/fs1/site/images/admin5/PlayerFM.png","title":null},{"name":"Podchaser","link":"https://www.podchaser.com/podcasts/data-science-at-home-1664","image":"https://pbcdn1.podbean.com/fs1/site/images/admin5/Podchaser.webp","title":null}],"components":{"base":[{"id":"MainStyle","val":"light"},{"id":"Font","val":"Roboto"},{"id":"SecondaryFont","val":"Roboto"},{"id":"PlayerColor","val":"#9417FF"},{"id":"PlayerStyle","val":"player2"},{"id":"PlayerWave","val":"show"},{"id":"Favicon","val":"https://mcdn.podbean.com/mf/web/hr9bav/dsh-logo.png"},{"id":"CookiesNotice","val":"hide"},{"id":"CookiesNoticeContent","val":"

Cookies Notice

This website uses cookies to improve your experience while you navigate through the website. By using our website you agree to our use of cookies.

"}],"home-header":[{"id":"HomeHeaderTextColor","val":"#ffffff"},{"id":"BackgroundImage","val":"https://mcdn.podbean.com/mf/web/dbi5q5/Home1.png"},{"id":"BackgroundImageForMobile","val":null}],"page-header":[{"id":"PageHeaderTextColor","val":"#ffffff"},{"id":"SecondaryPageBackgroundImage","val":"https://mcdn.podbean.com/mf/web/dbi5q5/Home1.png"},{"id":"SecondaryPageBackgroundImageForMobile","val":"https://mcdn.podbean.com/mf/web/dbi5q5/Home1.png"}],"episode-list":[{"id":"EpisodeListType","val":"grid"},{"id":"EpisodesPerPage","val":10},{"id":"EpisodeStats","val":"hide"}],"navigation":[{"id":"NavigationFontColor","val":"#ffffff"},{"id":"NavigationBackgroundColor","val":"#000000"},{"id":"NavigationSearch","val":"show"},{"id":"NavigationLinks","val":[{"id":"Home","type":"Link","value":"/","text":"Home","subitems":[]},{"id":"Subscribe","type":"Link","value":"https://discord.gg/4UNKGf3","text":"Discord","subitems":[]},{"id":"899bc672-0623-7245-a647-d542eca24b1e","type":"Link","value":"https://datascienceathome.substack.com/","text":"Newsletter","subitems":[]},{"id":"f439d13a-7bfc-5ccf-7dc8-7dab36194036","type":"Link","value":"https://datascienceathome.podbean.com/p/advertise-with-us-1529680659/","text":"Sponsor","subitems":[]}]}],"footer":[{"id":"FooterType","val":"Footer1"},{"id":"FooterFontColor","val":"#ffffff"},{"id":"FooterBackgroundColor","val":"#3E4677"},{"id":"FooterCopyright","val":"Copyright 2024 datascienceathome.com All rights reserved."},{"id":"SocialMediaLinks","val":{"facebook_username":"","twitter_username":"datascienceAH","instagram_username":"datascienceathome","youtube_username":"","linkedin_username":"company/87169754/admin/feed/posts/"}}],"customize-container1":[],"customize-container2":[{"id":"ComponentImageText-1","val":{"ComponentFontColor":"#000000","ComponentBackgroundColor":"#f2f2f2","ComponentImage":"/assets/customize-component1.png","ComponentContent":"

Become a sponsor

Data Science at Home is the top-10 best data science podcasts on Apple Podcasts, Spotify, Stitcher, Podbean and many more aggregators.
We reach our audience on a weekly basis via 30-minute episodes enriched with blog posts and show notes. Our episodes reach a highly targeted audience across a wide demographics and globally distributed.

Data Science at home currently accepts at most two advertising slots per episode. The scheduled episode for your advertising campaign will be defined by our team, depending on the topic and the current advertising queue.

Our team is available to give you recommendations about your application and to discuss rates. Please send a direct email to media@amethix.com to make first contact. After connecting, we will share the best available date for you to proceed with the onboarding.

We promote services and products related to IT, Internet services, Research, Data Science, Machine learning, Fintech and Banking, Healthcare, Energy, etc. Below are some of the most recent statistics of the show.

"}},{"id":"ComponentText-c1424275-3d2f-ec0c-1bcd-b9c575afcfbd","val":{"ComponentFontColor":"#000000","ComponentBackgroundColor":"#f2f2f2","ComponentContent":"

About this Show

Data Science at Home is a podcast about machine learning, artificial intelligence and algorithms.
The show is hosted by Dr. Francesco Gadaleta on solo episodes and interviews with some of the most influential figures in the field

"}}]},"allLinks":[],"mainStylesDefaultSettings":null,"defaultCustomizeComponents":null,"scripts":["\r\n (function(i,s,o,g,r,a,m){i['GoogleAnalyticsObject']=r;i[r]=i[r]||function(){\r\n (i[r].q=i[r].q||[]).push(arguments)},i[r].l=1*new Date();a=s.createElement(o),\r\n m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m)\r\n })(window,document,'script','//www.google-analytics.com/analytics.js','ga');\r\n\r\n ga('create', 'UA-37903879-3', 'auto');\r\n ga('send', 'pageview');\r\n\r\n"],"metas":null,"appConfig":{"package":"com.podbean.app.podcast","app_store_id":973361050,"app_name":"Podbean","scheme":"podbean"},"customizeCss":null,"canEditCss":null,"enableJsCodeInCustomizeContent":false,"enabledIframeCodeInCustomizeContent":true,"sectionMaxCount":10,"enableEditorLink":true,"enableEditCookiesNotice":true,"siteRedirectToFeed":false,"podcatcherRssUrl":null,"showFeed":true,"showTopBar":true,"enableWebSiteLike":null,"organizationName":null,"organizationPageLink":null},"backToListUrl":"/","tinymceLoaded":false,"listEpisodes":[],"userLikedEpisodes":[],"topBarIframeLoaded":false,"listTotalCount":0,"listTotalPage":0,"listPage":0,"listType":"all","listValue":"","listName":"","pageLoading":false,"apiBaseUrl":"https://datascienceathome.podbean.com","apiCommonParams":{"t":"673f842d","clientSignature":"9baaa7e741a8078ff8ad3fe80971c853","u":null,"customizing":null},"apiCommonHeaders":{},"comments":[],"commentsTotalCount":0,"commentsTotalPage":0,"commentsPage":1,"commentEpisodeId":"pb17230035-sueyj","episode":{"id":"pb17230035","idTag":"sueyj","title":"A simple trick for very unbalanced data (Ep. 157)","logo":"https://pbcdn1.podbean.com/imglogo/image-logo/1799802/dsh-cover-2_300x300.jpg","shareLogo":"https://d2bwo9zemjwxh5.cloudfront.net/image-logo/1799802/dsh-cover-2_1200x628.jpg?s=f0daa5efa3ab8f164c3a39785ecdcf88&e=jpg","largeLogo":"https://pbcdn1.podbean.com/imglogo/image-logo/1799802/dsh-cover-2.jpg","previewContent":null,"content":"

Data from the real world are never perfectly balanced. In this episode I explain a simple yet effective trick to train models with very unbalanced data. Enjoy the show!

References

Leo Breiman, Random Forests, 2001
C. Chen, A. Liaw, L. Breiman, Using Random Forest to Learn Imbalanced Data (2004)

","publishTimestamp":1624354849,"duration":1322,"mediaUrl":"https://mcdn.podbean.com/mf/web/44n8qz/dealing_with_very_unbalanced_data9micn.mp3","mediaType":"audio/mpeg","shareLink":"https://admin5.podbean.com/embed.html?id=pb-sueyj-106e8d3","likedCount":null,"deepLink":"https://www.podbean.com/ew/pb-sueyj-106e8d3","transcriptUrl":null,"permalink":"/e/a-simple-trick-for-very-unbalanced-data-ep-157/","downloadLink":"https://www.podbean.com/site/EpisodeDownload/PB106E8D3SUEYJ","fallbackResource":null,"fallbackResourceMimetype":null,"downloadCount":0,"status":"publish","hasMoreContent":false,"chaptersUrl":null},"episodeShareLink":null,"deepLink":"https://www.podbean.com/ew/pb-sueyj-106e8d3","playlist":{"episodes":[],"current":0,"start":0,"stop":0,"playing":true,"playerLoading":true,"playbackRate":1,"playbackRateIndex":1},"toasts":[],"confirm":null,"customizeEditorFormZIndex":999,"lastRequestTime":null,"validateChangesOnBeforeunload":true,"windowWidth":1000,"VITE_FS1_CDN_URL_PREFIX":"https://pbcdn1.podbean.com/fs1","reloadStats":false},"episode":{"id":"pb17230035","idTag":"sueyj","title":"A simple trick for very unbalanced data (Ep. 157)","logo":"https://pbcdn1.podbean.com/imglogo/image-logo/1799802/dsh-cover-2_300x300.jpg","shareLogo":"https://d2bwo9zemjwxh5.cloudfront.net/image-logo/1799802/dsh-cover-2_1200x628.jpg?s=f0daa5efa3ab8f164c3a39785ecdcf88&e=jpg","largeLogo":"https://pbcdn1.podbean.com/imglogo/image-logo/1799802/dsh-cover-2.jpg","previewContent":null,"content":"

Data from the real world are never perfectly balanced. In this episode I explain a simple yet effective trick to train models with very unbalanced data. Enjoy the show!

References

Leo Breiman, Random Forests, 2001
C. Chen, A. Liaw, L. Breiman, Using Random Forest to Learn Imbalanced Data (2004)

Cookies Notice

Become a sponsor

About this Show

Sponsors

References

Sponsors

References

A simple trick for very unbalanced data (Ep. 157)

Sponsors

References

Comments (0)