diff --git a/vowpalwabbit/core/src/reduction_stack.cc b/vowpalwabbit/core/src/reduction_stack.cc
index 917fde94dab..8dc773dc820 100644
--- a/vowpalwabbit/core/src/reduction_stack.cc
+++ b/vowpalwabbit/core/src/reduction_stack.cc
@@ -188,12 +188,12 @@ void prepare_reductions(std::vector<std::tuple<std::string, VW::reduction_setup_
 
   // Reductions
   reductions.push_back(VW::reductions::bs_setup);
+  reductions.push_back(VW::reductions::boosting_setup);
   reductions.push_back(VW::reductions::binary_setup);
 
   reductions.push_back(VW::reductions::expreplay_setup<'m', VW::multiclass_label_parser_global>);
   reductions.push_back(VW::reductions::topk_setup);
   reductions.push_back(VW::reductions::oaa_setup);
-  reductions.push_back(VW::reductions::boosting_setup);
   reductions.push_back(VW::reductions::ect_setup);
   reductions.push_back(VW::reductions::log_multi_setup);
   reductions.push_back(VW::reductions::recall_tree_setup);
diff --git a/vowpalwabbit/core/src/reductions/boosting.cc b/vowpalwabbit/core/src/reductions/boosting.cc
index 394b4df267b..b514a88d36b 100644
--- a/vowpalwabbit/core/src/reductions/boosting.cc
+++ b/vowpalwabbit/core/src/reductions/boosting.cc
@@ -110,11 +110,7 @@ void predict_or_learn(boosting& o, VW::LEARNER::learner& base, VW::example& ec)
   }
 
   ec.weight = u;
-  ec.partial_prediction = final_prediction;
-  ec.pred.scalar = VW::math::sign(final_prediction);
-
-  if (ld.label == ec.pred.scalar) { ec.loss = 0.; }
-  else { ec.loss = ec.weight; }
+  ec.pred.scalar = final_prediction;
 }
 
 //-----------------------------------------------------------------
@@ -166,11 +162,7 @@ void predict_or_learn_logistic(boosting& o, VW::LEARNER::learner& base, VW::exam
   }
 
   ec.weight = u;
-  ec.partial_prediction = final_prediction;
-  ec.pred.scalar = VW::math::sign(final_prediction);
-
-  if (ld.label == ec.pred.scalar) { ec.loss = 0.; }
-  else { ec.loss = ec.weight; }
+  ec.pred.scalar = final_prediction;
 }
 
 template <bool is_learn>
@@ -244,11 +236,7 @@ void predict_or_learn_adaptive(boosting& o, VW::LEARNER::learner& base, VW::exam
   }
 
   ec.weight = u;
-  ec.partial_prediction = final_prediction;
-  ec.pred.scalar = VW::math::sign(final_prediction);
-
-  if (ld.label == ec.pred.scalar) { ec.loss = 0.; }
-  else { ec.loss = ec.weight; }
+  ec.pred.scalar = final_prediction;
 }
 
 void save_load_sampling(boosting& o, VW::io_buf& model_file, bool read, bool text)