{"id":71107,"date":"2021-09-20T13:59:23","date_gmt":"2021-09-20T17:59:23","guid":{"rendered":"http:\/\/bangla.salearningschool.com\/recent-posts\/do-you-mix-test-data-with-training-data-at-all-at-any-time\/"},"modified":"2021-09-27T20:37:49","modified_gmt":"2021-09-28T00:37:49","slug":"do-you-mix-test-data-with-training-data-at-all-at-any-time","status":"publish","type":"post","link":"http:\/\/bangla.sitestree.com\/?p=71107","title":{"rendered":"Do you mix test data with training data at all &#8211; at any time?"},"content":{"rendered":"<p>If you can, answer the question below: Write your answer in the comment box.<br \/> Do you mix test data with training data at all &#8211; at any time?<\/p>\n","protected":false},"excerpt":{"rendered":"<p>If you can, answer the question below: Write your answer in the comment box. Do you mix test data with training data at all &#8211; at any time?<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[1945],"tags":[],"class_list":["post-71107","post","type-post","status-publish","format-standard","hentry","category-introduction-to-machine-learning","item-wrap"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":26252,"url":"http:\/\/bangla.sitestree.com\/?p=26252","url_meta":{"origin":71107,"position":0},"title":"Can you answer these random questions on Data Science Project Development #Root","author":"Author-Check- Article-or-Video","date":"April 21, 2021","format":false,"excerpt":"Questions to answer 1. What does a data science project usually involve? What is the common theme across data science projects? 2. Does industry projects and research projects differ? Why and to what extent? 3. What are the some dataset repositories? Where can you get them? 4. Are all public\u2026","rel":"","context":"In &quot;FromSitesTree.com&quot;","block_context":{"text":"FromSitesTree.com","link":"http:\/\/bangla.sitestree.com\/?cat=1917"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":16371,"url":"http:\/\/bangla.sitestree.com\/?p=16371","url_meta":{"origin":71107,"position":1},"title":"Can you answer these random questions on Data Science Project Development","author":"Sayed","date":"November 9, 2019","format":false,"excerpt":"Questions to answer 1. What does a data science project usually involve? What is the common theme across data science projects? 2. Does industry projects and research projects differ? Why and to what extent? 3. What are the some dataset repositories? Where can you get them? 4. Are all public\u2026","rel":"","context":"In &quot;AI ML DS RL DL NN NLP Data Mining Optimization&quot;","block_context":{"text":"AI ML DS RL DL NN NLP Data Mining Optimization","link":"http:\/\/bangla.sitestree.com\/?cat=1910"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":16744,"url":"http:\/\/bangla.sitestree.com\/?p=16744","url_meta":{"origin":71107,"position":2},"title":"Misc. : Classifier Performance and Model Selection","author":"Sayed","date":"February 6, 2020","format":false,"excerpt":"Cross Validation: \" en.wikipedia.org Cross-validation is a resampling procedure used to evaluate machine learning models on a limited data sample. The procedure has a single parameter called k that refers to the number of groups that a given data sample is to be split into. As such, the procedure is\u2026","rel":"","context":"In &quot;AI ML DS RL DL NN NLP Data Mining Optimization&quot;","block_context":{"text":"AI ML DS RL DL NN NLP Data Mining Optimization","link":"http:\/\/bangla.sitestree.com\/?cat=1910"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/bangla.sitestree.com\/wp-content\/uploads\/2020\/02\/image-1.jpeg?resize=350%2C200","width":350,"height":200},"classes":[]},{"id":26235,"url":"http:\/\/bangla.sitestree.com\/?p=26235","url_meta":{"origin":71107,"position":3},"title":"Join a Graph Mining Course #Root","author":"Author-Check- Article-or-Video","date":"April 20, 2021","format":false,"excerpt":"If you are interested to get access to a course (under development) on Graph Mining (Part of AI\/Data Science\/Analytics\/ML), please request using the following Google Form (or just inform us your email in a way so that we can give you access): https:\/\/docs.google.com\/forms\/d\/e\/1FAIpQLSerGzkN9WlWW6SyDwaV-zdcYuSpXXODk9JIBTp7--EA_WTUCg\/viewform?usp=sf_link Or use the event to show your\u2026","rel":"","context":"In &quot;FromSitesTree.com&quot;","block_context":{"text":"FromSitesTree.com","link":"http:\/\/bangla.sitestree.com\/?cat=1917"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":16333,"url":"http:\/\/bangla.sitestree.com\/?p=16333","url_meta":{"origin":71107,"position":4},"title":"Join a Graph Mining Course","author":"Sayed","date":"October 23, 2019","format":false,"excerpt":"If you are interested to get access to a course (under development) on Graph Mining (Part of AI\/Data Science\/Analytics\/ML), please request using the following Google Form (or just inform us your email in a way so that we can give you access): https:\/\/docs.google.com\/forms\/d\/e\/1FAIpQLSerGzkN9WlWW6SyDwaV-zdcYuSpXXODk9JIBTp7--EA_WTUCg\/viewform?usp=sf_link Or use the event to show your\u2026","rel":"","context":"In &quot;AI ML DS RL DL NN NLP Data Mining Optimization&quot;","block_context":{"text":"AI ML DS RL DL NN NLP Data Mining Optimization","link":"http:\/\/bangla.sitestree.com\/?cat=1910"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":16531,"url":"http:\/\/bangla.sitestree.com\/?p=16531","url_meta":{"origin":71107,"position":5},"title":"Test: Estimation, Tracking, Probability, Data Science","author":"Sayed","date":"December 28, 2019","format":false,"excerpt":"Chebyshev's inequality \"In probability theory, Chebyshev's inequality (also called the Bienaym\u00e9\u2013Chebyshev inequality) guarantees that, for a wide class of probability distributions, no more than a certain fraction of values can be more than a certain distance from the mean. 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