Update README.md

README.md

@@ -1198,7 +1198,7 @@ AFRLA - Instance Level Results is a collection of predictions at the instance le
 The dataset presents eleven sections (one per regression task), with varying degrees of performance, difficulty and characteristics from the original tasks. Every one of the 255 models was trained on a subset of the dataset used for every task, and the results shown here are the test (never-before-seen by the models) predictions. Each subset has:
 
 - An **instance identifier** indicating the instance nº from the test set. This is just an identifier and it is not usually employed for training assessors, although in some occasions it may be useful.
-- The **original task features**, the features used by the models to be trained. Along with the instance identifier, they fully describe a test example.
+- The **original task features**, the features used by the models to learn the task. Along with the instance identifier, they fully describe a test example.
 - The **model features**, descriptors of the 255 models. Mainly:
   - The model used (XGBoost, Random Forest, Decision Tree...)
   - Hyperparameters such as the maximum depth, number of estimators if applicable...