PrologMethods/Classification/adaboost.md

@@ -66,8 +66,8 @@ initModelNoTraining(+string, +float32).
 
 | **<span dir="">Name</span>** | **<span dir="">Type</span>** | **<span dir="">Description</span>** | **<span dir="">Default</span>** |
 |------------------------------|------------------------------|-------------------------------------|---------------------------------|
-| <span dir="">learner</span> | <span dir="">+string</span> | <span dir="">The type of weak learner to use: “decision_stump”, or “perceptron”</span> | <span dir="">“decision_stump”</span> |
 | <span dir="">tolerance</span> | <span dir="">+float</span> | <span dir="">The tolerance for change in values of the weighted error during training</span> | <span dir="">1e-6</span> |
+| <span dir="">learner</span> | <span dir="">+string</span> | <span dir="">The type of weak learner to use: “decision_stump”, or “perceptron”</span> | <span dir="">“decision_stump”</span> |
 
 </figure>
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