{"id":2011,"date":"2021-05-19T03:19:50","date_gmt":"2021-05-19T03:19:50","guid":{"rendered":"http:\/\/optimumsportsperformance.com\/blog\/?p=2011"},"modified":"2021-05-19T13:40:47","modified_gmt":"2021-05-19T13:40:47","slug":"tidyx-60-pitchf-x-model-evaluation","status":"publish","type":"post","link":"https:\/\/optimumsportsperformance.com\/blog\/tidyx-60-pitchf-x-model-evaluation\/","title":{"rendered":"TidyX 60: pitchf\/x model evaluation"},"content":{"rendered":"<p>We&#8217;ve made it!<\/p>\n<p>Over the past 7-weeks, <span style=\"color: #0000ff;\"><strong><a style=\"color: #0000ff;\" href=\"https:\/\/twitter.com\/ellis_hughes\">Ellis Hughes<\/a><\/strong><\/span> and I have been working on various approaches to building a classification model of pitchf\/x data using the {<strong>mlbgameday<\/strong>} package in R. We are finally ready to compare all of the models we&#8217;ve built, displaying the results in a conditionally formatted {<strong>gt<\/strong>} table, and discuss our findings.<\/p>\n<p>To watch our screen cast, <strong><span style=\"color: #0000ff;\"><a style=\"color: #0000ff;\" href=\"https:\/\/www.youtube.com\/watch?v=RrsU2NE5ptM\">CLICK HERE<\/a><\/span><\/strong>.<\/p>\n<p>To access our code, <a href=\"https:\/\/github.com\/thebioengineer\/TidyX\/tree\/master\/TidyTuesday_Explained\/060-MLB_pitch_classification_8\"><strong><span style=\"color: #0000ff;\">CLICK HERE<\/span><\/strong><\/a>.<\/p>\n<p>For previous episodes in this series:<\/p>\n<ol>\n<li><span style=\"color: #0000ff;\"><strong><a style=\"color: #0000ff;\" href=\"https:\/\/optimumsportsperformance.com\/blog\/tidyx-53-mlb-pitch-classification-series-eda-hierarchical-clustering\/\">Episode 53: Pitch Classification &amp; EDA<\/a><\/strong><\/span><\/li>\n<li><span style=\"color: #0000ff;\"><strong><a style=\"color: #0000ff;\" href=\"https:\/\/optimumsportsperformance.com\/blog\/tidyx-54-mlb-pitch-classification-series-knn-umap\/\">Episode 54: KNN &amp; UMAP<\/a><\/strong><\/span><\/li>\n<li><span style=\"color: #0000ff;\"><strong><a style=\"color: #0000ff;\" href=\"https:\/\/optimumsportsperformance.com\/blog\/tidyx-55-decision-trees-random-forest-optimization\/\">Episode 55: Decision Trees, Random Forest, &amp; Optimization<\/a><\/strong><\/span><\/li>\n<li><span style=\"color: #0000ff;\"><strong><a style=\"color: #0000ff;\" href=\"https:\/\/optimumsportsperformance.com\/blog\/tidyx-56-xgboost-for-pitchf-x-classification\/\">Episode 56: XGBoost<\/a><\/strong><\/span><\/li>\n<li><span style=\"color: #0000ff;\"><strong><a style=\"color: #0000ff;\" href=\"https:\/\/optimumsportsperformance.com\/blog\/tidyx-57-naive-bayes-classifier-for-pitchf-x-classification\/\">Episode 57: Naive Bayes Classifier<\/a><\/strong><\/span><\/li>\n<li><strong><a href=\"https:\/\/optimumsportsperformance.com\/blog\/tidyx-58-tensorflow-neural-network-for-pitchf-x-classification\/\"><span style=\"color: #0000ff;\">Episode 58: Tensorflow Neural Network<\/span><\/a><\/strong><\/li>\n<li><strong><span style=\"color: #0000ff;\"><a style=\"color: #0000ff;\" href=\"https:\/\/optimumsportsperformance.com\/blog\/tidyx-59-pitchf-x-classification-with-class-imbalance\/\">Episode 59: Dealing with Class Imbalance<\/a><\/span><\/strong><\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>We&#8217;ve made it! Over the past 7-weeks, Ellis Hughes and I have been working on various approaches to building a classification model of pitchf\/x data using the {mlbgameday} package in R. We are finally ready to compare all of the models we&#8217;ve built, displaying the results in a conditionally formatted {gt} table, and discuss our [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[44],"tags":[],"class_list":["post-2011","post","type-post","status-publish","format-standard","hentry","category-tidyx-screen-cast"],"_links":{"self":[{"href":"https:\/\/optimumsportsperformance.com\/blog\/wp-json\/wp\/v2\/posts\/2011","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/optimumsportsperformance.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/optimumsportsperformance.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/optimumsportsperformance.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/optimumsportsperformance.com\/blog\/wp-json\/wp\/v2\/comments?post=2011"}],"version-history":[{"count":3,"href":"https:\/\/optimumsportsperformance.com\/blog\/wp-json\/wp\/v2\/posts\/2011\/revisions"}],"predecessor-version":[{"id":2015,"href":"https:\/\/optimumsportsperformance.com\/blog\/wp-json\/wp\/v2\/posts\/2011\/revisions\/2015"}],"wp:attachment":[{"href":"https:\/\/optimumsportsperformance.com\/blog\/wp-json\/wp\/v2\/media?parent=2011"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/optimumsportsperformance.com\/blog\/wp-json\/wp\/v2\/categories?post=2011"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/optimumsportsperformance.com\/blog\/wp-json\/wp\/v2\/tags?post=2011"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}