diff --git a/exploration/ml_pipeline_regression.py b/exploration/ml_pipeline_regression.py
index ed27364..3e7177c 100644
--- a/exploration/ml_pipeline_regression.py
+++ b/exploration/ml_pipeline_regression.py
@@ -6,7 +6,7 @@
 #       extension: .py
 #       format_name: percent
 #       format_version: '1.3'
-#       jupytext_version: 1.13.0
+#       jupytext_version: 1.14.5
 #   kernelspec:
 #     display_name: straw2analysis
 #     language: python
@@ -36,7 +36,10 @@ model_input = pd.read_csv(
 )
 
 # %%
-CV_METHOD = "half_logo"  # logo, half_logo, 5kfold
+model_input = model_input[model_input["local_segment"].str.contains("daily")]
+
+# %%
+CV_METHOD = "logo"  # logo, half_logo, 5kfold
 
 model_input_encoded = impute_encode_categorical_features(model_input)
 # %%
@@ -44,5 +47,20 @@ data_x, data_y, data_groups = prepare_sklearn_data_format(
     model_input_encoded, CV_METHOD
 )
 cross_validator = prepare_cross_validator(data_x, data_y, data_groups, CV_METHOD)
+# %%
+data_y.head()
+
+# %%
+data_y.tail()
+
+# %%
+data_y.shape
+
 # %%
 scores = run_all_regression_models(data_x, data_y, data_groups, cross_validator)
+
+# %%
+scores.to_csv(
+    "../presentation/JCQ_supervisor_support_regression_" + CV_METHOD + ".csv",
+    index=False,
+)