Set output path programmatically.

exploration/ml_pipeline_classification.py

@@ -116,9 +116,8 @@ data_y.shape
 # %%
 scores = run_all_classification_models(data_x, data_y, data_groups, cross_validator)
 # %%
-scores.to_csv(
-    "../presentation/results/appraisal_stressfulness_awake_classification_"
-    + CV_METHOD
-    + ".csv",
-    index=False,
+PATH_OUTPUT = Path("..") / Path("presentation/results")
+path_output_full = PATH_OUTPUT / (
+    TARGET_VARIABLE + SEGMENT_LENGTH + "_classification_" + CV_METHOD + ".csv"
 )
+scores.to_csv(path_output_full, index=False)