{"id":2948532,"date":"2025-11-17T17:34:37","date_gmt":"2025-11-18T01:34:37","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=2948532"},"modified":"2025-11-17T17:34:37","modified_gmt":"2025-11-18T01:34:37","slug":"new-smarter-prediction-model-evaluation-in-arcgis-pro-3-6","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/announcements\/new-smarter-prediction-model-evaluation-in-arcgis-pro-3-6","title":{"rendered":"New! Smarter Prediction & Model Evaluation in ArcGIS Pro 3.6"},"author":245352,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[23341,37101],"tags":[35661,780911,34151,23391,25581],"industry":[],"product":[36561],"class_list":["post-2948532","blog","type-blog","status-publish","format-standard","hentry","category-analytics","category-announcements","tag-machine-learning","tag-model-training-and-prediction","tag-modeling","tag-spatial-analytics","tag-spatial-statistics","product-arcgis-pro"],"acf":{"authors":[{"ID":245352,"user_firstname":"Stella","user_lastname":"Li","nickname":"Stella Li","user_nicename":"stellali","display_name":"Stella(Xintian) Li","user_email":"stellali@esri.com","user_url":"","user_registered":"2021-06-30 17:08:59","user_description":"Stella(Xintian) Li is a Product Engineer on Esri's Spatial Statistics team. As an urban enthusiast who has a strong passion for spatial statistics and data science, Stella enjoys finding solutions to urban, social, and environmental problems with data-driven methods. Her role at Esri includes doing research, building and maintaining spatial data science tools and capabilities, and creating learning resources to help users better understand and utilize the tools.","user_avatar":""}],"short_description":"To level up your spatial machine learning, ArcGIS Pro 3.6 introduces powerful new tools to help you build, test, and trust your predictive model.","flexible_content":[{"acf_fc_layout":"content","content":"

Ready to level up your spatial machine learning workflow? ArcGIS Pro 3.6 introduces powerful new tools and enhancements to help you build, test, and trust your predictive models like never before.<\/p>\n

    \n
  1. New: Prepare Data for Prediction<\/strong>
    \nThis tool helps to effortlessly split and balance your data for model training and validation. It avoids bias and data leakage with smart data balancing and spatial splitting \u2014 so your models perform reliably on real-world scenarios.<\/li>\n
  2. New: Evaluate Predictions with Cross-validation<\/strong>
    \nGo beyond the basic validation step! This tool brings spatial cross-validation to the table, letting you test your model\u2019s accuracy across different geographic locations and with rare events. It helps you understand how your model performs in new regions and edge cases.<\/li>\n<\/ol>\n"},{"acf_fc_layout":"image","image":{"ID":2948534,"id":2948534,"title":"Picture1","filename":"Picture1-3.png","filesize":162561,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Picture1-3.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/announcements\/new-smarter-prediction-model-evaluation-in-arcgis-pro-3-6\/picture1-156","alt":"Evaluate Predictions with Cross-validation Output Example","author":"245352","description":"","caption":"Up left: Out of sample prediction residuals on the map; Up right: Box chart of out of sample diagnostics statistics for all the validation groups; Bottom: Output table with evaluation metrics for each validation group.","name":"picture1-156","status":"inherit","uploaded_to":2948532,"date":"2025-11-15 01:03:15","modified":"2025-11-17 20:37:11","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1034,"height":673,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Picture1-3-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Picture1-3.png","medium-width":401,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Picture1-3.png","medium_large-width":768,"medium_large-height":500,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Picture1-3.png","large-width":1034,"large-height":673,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Picture1-3.png","1536x1536-width":1034,"1536x1536-height":673,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Picture1-3.png","2048x2048-width":1034,"2048x2048-height":673,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Picture1-3-714x465.png","card_image-width":714,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Picture1-3.png","wide_image-width":1034,"wide_image-height":673}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"
      \n
    1. Enhanced: Predict Using Spatial Statistics Model File<\/strong>
      \nNow, with a spatial statistics model file (.ssm file), not only can you predict new locations, but you can also validate predictions against known values. Get instant feedback with metrics like accuracy, sensitivity, F1-score, and R-squared, and you\u2019ll know exactly how your model is performing.<\/li>\n<\/ol>\n"},{"acf_fc_layout":"image","image":{"ID":2948535,"id":2948535,"title":"Picture2","filename":"Picture2-2.png","filesize":45917,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Picture2-2.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/announcements\/new-smarter-prediction-model-evaluation-in-arcgis-pro-3-6\/picture2-96","alt":"Predict Using Spatial Statistics Model File evaluation metrics example 1","author":"245352","description":"","caption":"Evaluation metrics for a regression model.","name":"picture2-96","status":"inherit","uploaded_to":2948532,"date":"2025-11-15 01:03:17","modified":"2025-11-17 20:38:34","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":792,"height":287,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Picture2-2-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Picture2-2.png","medium-width":464,"medium-height":168,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Picture2-2.png","medium_large-width":768,"medium_large-height":278,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Picture2-2.png","large-width":792,"large-height":287,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Picture2-2.png","1536x1536-width":792,"1536x1536-height":287,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Picture2-2.png","2048x2048-width":792,"2048x2048-height":287,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Picture2-2.png","card_image-width":792,"card_image-height":287,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Picture2-2.png","wide_image-width":792,"wide_image-height":287}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"image","image":{"ID":2948536,"id":2948536,"title":"Picture3","filename":"Picture3-1.png","filesize":40568,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Picture3-1.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/announcements\/new-smarter-prediction-model-evaluation-in-arcgis-pro-3-6\/picture3-84","alt":"Predict Using Spatial Statistics Model File evaluation metrics example 2","author":"245352","description":"","caption":"Evaluation metrics for a classification model.","name":"picture3-84","status":"inherit","uploaded_to":2948532,"date":"2025-11-15 01:03:19","modified":"2025-11-17 20:38:45","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":784,"height":249,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Picture3-1-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Picture3-1.png","medium-width":464,"medium-height":147,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Picture3-1.png","medium_large-width":768,"medium_large-height":244,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Picture3-1.png","large-width":784,"large-height":249,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Picture3-1.png","1536x1536-width":784,"1536x1536-height":249,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Picture3-1.png","2048x2048-width":784,"2048x2048-height":249,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Picture3-1.png","card_image-width":784,"card_image-height":249,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Picture3-1.png","wide_image-width":784,"wide_image-height":249}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

      Why does this matter?<\/strong>
      \nThese amazing new features and updates make it easier to engineer training data, tune models, and evaluate results\u2014all in one streamlined workflow. Whether you\u2019re tackling complex machine learning problems or just want more confidence in your prediction results, the spatial statistics prediction and model evaluation tools will have you covered.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2948537,"id":2948537,"title":"Picture4","filename":"Picture4-1.png","filesize":360634,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Picture4-1.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/announcements\/new-smarter-prediction-model-evaluation-in-arcgis-pro-3-6\/picture4-81","alt":"A diagram shows the prediction and model evaluation workflow in ArcGIS Pro.","author":"245352","description":"","caption":"An enhanced model training, prediction and evaluation workflow in ArcGIS Pro.","name":"picture4-81","status":"inherit","uploaded_to":2948532,"date":"2025-11-15 01:03:20","modified":"2025-11-18 01:31:50","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":697,"height":1578,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Picture4-1-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Picture4-1.png","medium-width":115,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Picture4-1.png","medium_large-width":697,"medium_large-height":1578,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Picture4-1.png","large-width":477,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Picture4-1-678x1536.png","1536x1536-width":678,"1536x1536-height":1536,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Picture4-1.png","2048x2048-width":697,"2048x2048-height":1578,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Picture4-1-205x465.png","card_image-width":205,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Picture4-1-477x1080.png","wide_image-width":477,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

      Interested in learning more? Check out the full details:<\/p>\n