diff --git a/scripts/ml/ml_functions/MultClfs.py b/scripts/ml/ml_functions/MultClfs.py
index aa1522a..40f5a78 100755
--- a/scripts/ml/ml_functions/MultClfs.py
+++ b/scripts/ml/ml_functions/MultClfs.py
@@ -292,7 +292,8 @@ def MultModelsCl(input_df
                , ('SVC'                       , SVC(**rs) ) 
                , ('Stochastic GDescent'       , SGDClassifier(**rs, **njobs) )
                , ('XGBoost'                   , XGBClassifier(**rs, verbosity = 0, use_label_encoder = False, **njobs) )
-               , ('Dummy Classifier'          , DummyClassifier(strategy = 'most_frequent') )
+               #, ('Dummy Classifier'          , DummyClassifier(strategy = 'most_frequent') )
+               , ('Dummy Classifier'          , DummyClassifier(constant = 1) )
              ]
                 
     mm_skf_scoresD = {}
diff --git a/scripts/ml/ml_functions/MultClfs_CVs.py b/scripts/ml/ml_functions/MultClfs_CVs.py
index c862c80..6809bca 100755
--- a/scripts/ml/ml_functions/MultClfs_CVs.py
+++ b/scripts/ml/ml_functions/MultClfs_CVs.py
@@ -276,7 +276,8 @@ def MultModelsCl_CVs(input_df
                 , ('SVC'                       , SVC(**rs) ) 
                 , ('Stochastic GDescent'       , SGDClassifier(**rs, **njobs) )
                 , ('XGBoost'                   , XGBClassifier(**rs, verbosity = 0, use_label_encoder = False, **njobs) )
-                , ('Dummy Classifier'          , DummyClassifier(strategy = 'most_frequent') )
+                #, ('Dummy Classifier'          , DummyClassifier(strategy = 'most_frequent') )
+                , ('Dummy Classifier'          , DummyClassifier(constant = 1) )
              ]
                 
     mm_skf_scoresD = {}
diff --git a/scripts/plotting/plotting_thesis/ORandSNP_results.R b/scripts/plotting/plotting_thesis/ORandSNP_results.R
index 8bbef3e..3eb7859 100644
--- a/scripts/plotting/plotting_thesis/ORandSNP_results.R
+++ b/scripts/plotting/plotting_thesis/ORandSNP_results.R
@@ -2,15 +2,14 @@
 #source("~/git/LSHTM_analysis/config/pnca.R")
 
 #source("~/git/LSHTM_analysis/config/embb.R")
-source("~/git/LSHTM_analysis/config/gid.R")
-#source("~/git/LSHTM_analysis/config/alr.R")
+#source("~/git/LSHTM_analysis/config/gid.R")
+source("~/git/LSHTM_analysis/config/alr.R")
 #source("~/git/LSHTM_analysis/config/katg.R")
 #source("~/git/LSHTM_analysis/config/rpob.R")
 
 # get plottting dfs 
 source("~/git/LSHTM_analysis/scripts/plotting/get_plotting_dfs.R")
 
-source("~/git/LSHTM_analysis/scripts/plotting/plotting_colnames.R")
 #=======
 # output
 #=======
@@ -210,8 +209,13 @@ if (nrow(bar_or) == nrow(sen1) + nrow(res1) ){
 
 # percent for OR muts
 pc_orR = nrow(res1)/(nrow(sen1) + nrow(res1)); pc_orR
-cat("\nPercentage of muts with OR>1 i.e resistant:"
-    , pc_orR *100 )
+cat("\nNo.of DST muts:", nrow(bar_or)
+    , "\nNo of DST (R):", table(bar_or$sensitivity)[[1]]
+    , "\nNo of DST (S):", table(bar_or$sensitivity)[[2]]
+    , "\nNumber of R muts with OR >1 (n = ", nrow(res1),")"
+    , "\nPercentage of muts with OR>1 i.e resistant:" , pc_orR *100 )
+
+
 
 # muts with highest OR
 head(bar_or$mutationinformation, 10)
diff --git a/scripts/plotting/plotting_thesis/rpob/pe_sens_site_count_rpob.R b/scripts/plotting/plotting_thesis/rpob/pe_sens_site_count_rpob.R
index 03ed2ed..6dbe2b4 100644
--- a/scripts/plotting/plotting_thesis/rpob/pe_sens_site_count_rpob.R
+++ b/scripts/plotting/plotting_thesis/rpob/pe_sens_site_count_rpob.R
@@ -7,7 +7,7 @@ source("/home/tanu/git/LSHTM_analysis/scripts/plotting/plotting_thesis/rpob/sens
 pe_colour_map = c("DD_lig"           = "#f0e68c"   # khaki
                   , "SS_lig"         = "#ffd700"  # gold
                   
-                  , "DD_nucleic_acid"= "#d2b48c"  # sandybrown
+                  , "DD_nucleic_acid"= "#d2b48c"  # tan or sandybrown
                   , "SS_nucleic_acid"= "#a0522d"  # sienna
                   
                   , "DD_ppi2"        = "#da70d6"  # orchid