{"id":11330,"date":"2020-03-22T14:20:12","date_gmt":"2020-03-22T18:20:12","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=11330"},"modified":"2020-03-22T14:20:12","modified_gmt":"2020-03-22T18:20:12","slug":"the-5-classification-evaluation-metrics-every-data-scientist-must-know-and-when-exactly-to-use-them","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/the-5-classification-evaluation-metrics-every-data-scientist-must-know-and-when-exactly-to-use-them\/11330\/","title":{"rendered":"The 5 Classification Evaluation Metrics Every Data Scientist Must Know.  And when Exactly to Use Them?"},"content":{"rendered":"Originally pubished in Medium, Sept 17, 2019. What do we want to optimize for? Most of the businesses fail to answer this simple question. Every business problem is a little different, and it should be optimized differently. We all have created classification models. A lot of time we try to increase evaluate our models on accuracy. But do we really want accuracy as a metric of our model performance? What if we are predicting the number of asteroids that will hit the earth. Just say zero all the time. And you will be 99% accurate. My model can <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/the-5-classification-evaluation-metrics-every-data-scientist-must-know-and-when-exactly-to-use-them\/11330\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally pubished in Medium, Sept 17, 2019. What do we want to optimize for? Most of the businesses fail to answer this simple question. Every business problem is a little different, and it should be optimized differently. We all have created classification models. A lot of time we try to increase evaluate our models on [&hellip;]<\/p>\n","protected":false},"author":72,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[879,59,368,166,243,1080],"class_list":["post-11330","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand","tag-ai","tag-analytics","tag-artificial-intelligence","tag-data-science","tag-machine-learning","tag-machine-learning-world"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/11330","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/72"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=11330"}],"version-history":[{"count":2,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/11330\/revisions"}],"predecessor-version":[{"id":11333,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/11330\/revisions\/11333"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=11330"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=11330"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=11330"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}