Add bins to output filename.

exploration/ml_pipeline_classification.py

@@ -118,6 +118,13 @@ scores = run_all_classification_models(data_x, data_y, data_groups, cross_valida
 # %%
 PATH_OUTPUT = Path("..") / Path("presentation/results")
 path_output_full = PATH_OUTPUT / (
-    TARGET_VARIABLE + SEGMENT_LENGTH + "_classification_" + CV_METHOD + ".csv"
+    TARGET_VARIABLE
+    + "_"
+    + SEGMENT_LENGTH
+    + "_classification"
+    + str(BINS)
+    + "_"
+    + CV_METHOD
+    + ".csv"
 )
 scores.to_csv(path_output_full, index=False)