diff --git a/model_data/simulation_system/core/Settings.py b/model_data/simulation_system/core/Settings.py
index c46a7dc0..3b9c8abf 100644
--- a/model_data/simulation_system/core/Settings.py
+++ b/model_data/simulation_system/core/Settings.py
@@ -2,6 +2,19 @@
 # TODO: migrate to dynaconf
 from pathlib import Path
 
+# TODO: remove these setting elsewhere for CML
+RESIDUAL_TRUE_LABEL = "true"
+RESIDUAL_PREDICTION_LABEL = "pred"
+RESIDUAL_FILE = "residual.png"
+SEABORN_RESIDUAL_AXIS_FONTSIZE = 12
+SEABORN_RESIDUAL_TITLE_FONTSIZE = 22
+SEABORN_RESIDUAL_STYLE = "whitegrid"
+SEABORN_RESIDUAL_ASPECT_RATIO = "equal"
+SEABORN_RESIDUAL_PLOT_DPI = 120
+SEABORN_RESIDUAL_RANGE = [-100, 100]
+SEABORN_RESIDUAL_LINE_COLOUR = "black"
+SEABORN_RESIDUAL_LINE_WIDTH = 1
+
 # Can move to a hyperparmeters file
 # If anything we might want to have a file that can be loaded and sent to this script
 MODEL_HYPERPARAMETERS = {
diff --git a/model_data/simulation_system/training.py b/model_data/simulation_system/training.py
index 11acdf57..6a9dae31 100644
--- a/model_data/simulation_system/training.py
+++ b/model_data/simulation_system/training.py
@@ -18,6 +18,17 @@ from core.Settings import (
     SUBSAMPLE_FACTOR,
     MODEL_HYPERPARAMETERS,
     TIMESTAMP_FORMAT,
+    RESIDUAL_TRUE_LABEL,
+    RESIDUAL_PREDICTION_LABEL,
+    RESIDUAL_FILE,
+    SEABORN_RESIDUAL_AXIS_FONTSIZE,
+    SEABORN_RESIDUAL_TITLE_FONTSIZE,
+    SEABORN_RESIDUAL_STYLE,
+    SEABORN_RESIDUAL_ASPECT_RATIO,
+    SEABORN_RESIDUAL_PLOT_DPI,
+    SEABORN_RESIDUAL_RANGE,
+    SEABORN_RESIDUAL_LINE_COLOUR,
+    SEABORN_RESIDUAL_LINE_WIDTH,
 )
 import seaborn as sns
 import matplotlib.pyplot as plt
@@ -147,26 +158,35 @@ def training(
     # TODO: can have a model.metric_outputs method
     # FOr not just do it here
     residual_df = pd.DataFrame(
-        list(zip(test_df[target_column], model.predictions)), columns=["true", "pred"]
+        list(zip(test_df[target_column], model.predictions)),
+        columns=[RESIDUAL_TRUE_LABEL, RESIDUAL_PREDICTION_LABEL],
     )
 
     # image formatting
     # TODO: move to settings file , AXIS_FONT, TITLE_FONT
-    axis_fs = 18  # fontsize
-    title_fs = 22  # fontsize
-    sns.set(style="whitegrid")
-    ax = sns.scatterplot(x="true", y="pred", data=residual_df)
-    ax.set_aspect("equal")
-    ax.set_xlabel(f"True {target_column}", fontsize=axis_fs)
-    ax.set_ylabel(f"Predicted {target_column}", fontsize=axis_fs)  # ylabel
-    ax.set_title("Residuals", fontsize=title_fs)
+    sns.set(style=SEABORN_RESIDUAL_STYLE)
+    ax = sns.scatterplot(
+        x=RESIDUAL_TRUE_LABEL, y=RESIDUAL_PREDICTION_LABEL, data=residual_df
+    )
+    ax.set_aspect(SEABORN_RESIDUAL_ASPECT_RATIO)
+    ax.set_xlabel(f"True {target_column}", fontsize=SEABORN_RESIDUAL_AXIS_FONTSIZE)
+    ax.set_ylabel(
+        f"Predicted {target_column}", fontsize=SEABORN_RESIDUAL_AXIS_FONTSIZE
+    )  # ylabel
+    ax.set_title("Residuals", fontsize=SEABORN_RESIDUAL_TITLE_FONTSIZE)
 
     # Square aspect ratio
-    ax.plot([-100, 100], [-100, 100], "black", linewidth=1)
+    ax.plot(
+        SEABORN_RESIDUAL_RANGE,
+        SEABORN_RESIDUAL_RANGE,
+        SEABORN_RESIDUAL_LINE_COLOUR,
+        linewidth=SEABORN_RESIDUAL_LINE_WIDTH,
+    )
 
     plt.tight_layout()
-    RESIDUAL_FILE = "residuals.png"
-    plt.savefig(output_base / METRICS_FOLDER / RESIDUAL_FILE, dpi=120)
+    plt.savefig(
+        output_base / METRICS_FOLDER / RESIDUAL_FILE, dpi=SEABORN_RESIDUAL_PLOT_DPI
+    )
 
     # TODO: for cml, we might want to have class that outputs all data and plots to add to the report
     # If we want residual plot/ any plots, we will need to self host