WIP: Resolve "Adding new datasets"

code/bolsonaro/models/ensemble_selection_forest_regressor.py

@@ -45,7 +45,7 @@ class EnsembleSelectionForestRegressor(BaseEstimator, metaclass=ABCMeta):
                 temp_score = self._score_metric(temp_mean, y_val)
                 if (temp_score < best_score):
                     candidate_index = j
-                    best_score = tmp_score
+                    best_score = temp_score
                 temp_pred = np.delete(temp_pred, -1, 0)
             self._ensemble_selected.append(class_list[candidate_index])
             temp_pred = np.vstack((temp_pred, class_list[candidate_index].predict(X_val)))