diff --git a/machine_learning_hep/data/data_run3/database_ml_parameters_LcToPKPi_newformat.yml b/machine_learning_hep/data/data_run3/database_ml_parameters_LcToPKPi_newformat.yml
index a5a0bbacf8..4906fcbb1e 100644
--- a/machine_learning_hep/data/data_run3/database_ml_parameters_LcToPKPi_newformat.yml
+++ b/machine_learning_hep/data/data_run3/database_ml_parameters_LcToPKPi_newformat.yml
@@ -275,8 +275,8 @@ LcpKpi:
       prefix_dir: /data2/MLhep/
       unmerged_tree_dir: [sim/train_159856/alice/cern.ch/user/a/alihyperloop/jobs/0029,
                           sim/train_159854/alice/cern.ch/user/a/alihyperloop/jobs/0029] #list of periods
-      pkl: [LHC22pp_mc_Jochen/prod_LHC22b1b/pklmc,
-            LHC22pp_mc_Jochen/prod_LHC22b1a/pklmc] #list of periods
+      pkl: [LHC22pp_mc/prod_LHC22b1b/pklmc,
+            LHC22pp_mc/prod_LHC22b1a/pklmc] #list of periods
       pkl_skimmed: [LHC22pp_mc/prod_LHC22b1b/pklskmc,
                     LHC22pp_mc/prod_LHC22b1a/pklskmc] #list of periods
       pkl_skimmed_merge_for_ml: [LHC22pp_mc/prod_LHC22b1b/pklskmlmc,
@@ -382,7 +382,7 @@ LcpKpi:
       sel_an_binmin: [1,2,4,6,8,12]
       sel_an_binmax: [2,4,6,8,12,24]
       binning_matching: [0,1,2,3,4,5]
-      presel_gen_eff: "abs(fY) < 0.8"
+      presel_gen_eff: "abs(fY) < 0.5"
       evtsel: null
       triggersel:
         data: null
diff --git a/machine_learning_hep/optimiser.py b/machine_learning_hep/optimiser.py
index 656678d4b4..6e85933dca 100644
--- a/machine_learning_hep/optimiser.py
+++ b/machine_learning_hep/optimiser.py
@@ -288,7 +288,7 @@ def preparesample(self): # pylint: disable=too-many-branches
             for ind, (label, nclass) in enumerate(zip(self.p_class_labels, self.p_nclasses)):
                 self.dfs_input[label] = shuffle(self.dfs_input[label],
                                                 random_state=self.rnd_shuffle)
-                if label == "bkg":
+                if label == "bkg" and self.p_equalise_sig_bkg:
                     nclass = nclass*self.p_multbkg
                 self.dfs_input[label] = self.dfs_input[label][:nclass]
                 self.dfs_input[label][self.v_class] = ind