vault backup: 2026-05-24 20:21:50

Wiki/Machine Learning/Classification Models.md

@@ -1,4 +1,4 @@
-#machine_learning
+#machine_learning #rs/class/csb320 
 - - -
 
 Classification models are meant to categorize instances into new classes based on data and training. They can be supervised (using labeled data) and unsupervised (using unlabeled data). They can also either predict classes directly or the probabilities of belonging to certain classes.

Wiki/Machine Learning/Model Validation and Evaluation.md

@@ -1,4 +1,4 @@
-#machine_learning 
+#machine_learning #rs/class/csb320 
 - - -
 
 There are many ways to evaluate the performance of models. This is necessary to ensure that they are performing at an acceptable level and to help to tune them with different hyperparameters, preprocessing, data, and other pipeline changes.