diff --git a/subjects/ai/model-selection-methodology/README.md b/subjects/ai/model-selection/README.md similarity index 99% rename from subjects/ai/model-selection-methodology/README.md rename to subjects/ai/model-selection/README.md index bfb72fb9..546f9edc 100644 --- a/subjects/ai/model-selection-methodology/README.md +++ b/subjects/ai/model-selection/README.md @@ -1,4 +1,4 @@ -# Model selection methodology +# Model selection If you finished yesterday's exercises you should be able to train several Machine Learning algorithms and to choose one returned by GridSearchCV. GridSearchCV returns the model that gives the best score on the test set. Yesterday, as I told you, I changed the **cv** parameter to compute the GridSearch with a train set and a test set. diff --git a/subjects/ai/model-selection-methodology/audit/README.md b/subjects/ai/model-selection/audit/README.md similarity index 100% rename from subjects/ai/model-selection-methodology/audit/README.md rename to subjects/ai/model-selection/audit/README.md diff --git a/subjects/ai/model-selection-methodology/w2_day5_ex5_q1.png b/subjects/ai/model-selection/w2_day5_ex5_q1.png similarity index 100% rename from subjects/ai/model-selection-methodology/w2_day5_ex5_q1.png rename to subjects/ai/model-selection/w2_day5_ex5_q1.png diff --git a/subjects/ai/model-selection-methodology/w2_day5_ex5_q2.png b/subjects/ai/model-selection/w2_day5_ex5_q2.png similarity index 100% rename from subjects/ai/model-selection-methodology/w2_day5_ex5_q2.png rename to subjects/ai/model-selection/w2_day5_ex5_q2.png