diff --git a/CMakeLists.txt b/CMakeLists.txt
index e34f4ae2..49e41c49 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -24,6 +24,13 @@ set(CMAKE_LIBRARY_OUTPUT_DIRECTORY ${CMAKE_RUNTIME_OUTPUT_DIRECTORY})
 
 list(APPEND CMAKE_MODULE_PATH "${CMAKE_CURRENT_SOURCE_DIR}/cmake")
 
+message(STATUS "cmake version ${CMAKE_VERSION}")
+if(CMAKE_VERSION VERSION_GREATER_EQUAL "4.0")
+    # cmake > 4.0 does not support projects with minimal versions < 3.5
+    message(STATUS "Changing cmake minimum version to 3.5 globally")
+    set(CMAKE_POLICY_VERSION_MINIMUM 3.5 CACHE INTERNAL "")
+endif()
+
 include(CMakeDependentOption)
 include(third-party)
 include(version)
diff --git a/knp/base-framework/impl/inference_evaluation/classification/processor.cpp b/knp/base-framework/impl/inference_evaluation/classification/processor.cpp
index 48f2cedd..7f741986 100644
--- a/knp/base-framework/impl/inference_evaluation/classification/processor.cpp
+++ b/knp/base-framework/impl/inference_evaluation/classification/processor.cpp
@@ -33,9 +33,7 @@ namespace knp::framework::inference_evaluation::classification
 class EvaluationHelper
 {
 public:
-    explicit EvaluationHelper(
-        const knp::framework::data_processing::classification::Dataset &dataset,
-        std::vector<InferenceResult> &inference_results);
+    explicit EvaluationHelper(const knp::framework::data_processing::classification::Dataset &dataset);
 
     void process_spikes(const knp::core::messaging::SpikeData &firing_neuron_indices, size_t step);
 
@@ -55,14 +53,11 @@ class EvaluationHelper
     std::vector<size_t> class_votes_;
 
     const knp::framework::data_processing::classification::Dataset &dataset_;
-    std::vector<InferenceResult> &inference_results_;
 };
 
 
-EvaluationHelper::EvaluationHelper(
-    const knp::framework::data_processing::classification::Dataset &dataset,
-    std::vector<InferenceResult> &inference_results)
-    : class_votes_(dataset.get_amount_of_classes(), 0), dataset_(dataset), inference_results_(inference_results)
+EvaluationHelper::EvaluationHelper(const knp::framework::data_processing::classification::Dataset &dataset)
+    : class_votes_(dataset.get_amount_of_classes(), 0), dataset_(dataset)
 {
 }
 
@@ -119,7 +114,7 @@ void InferenceResultsProcessor::process_inference_results(
     const std::vector<knp::core::messaging::SpikeMessage> &spikes,
     knp::framework::data_processing::classification::Dataset const &dataset)
 {
-    EvaluationHelper helper(dataset, inference_results_);
+    EvaluationHelper helper(dataset);
     knp::core::messaging::SpikeData firing_neuron_indices;
     auto spikes_iter = spikes.begin();
 
diff --git a/knp/tests/framework/inference_evaluation_test.cpp b/knp/tests/framework/inference_evaluation_test.cpp
index 6d0cf923..50a38641 100644
--- a/knp/tests/framework/inference_evaluation_test.cpp
+++ b/knp/tests/framework/inference_evaluation_test.cpp
@@ -68,5 +68,5 @@ TEST(InferenceEvaluation, Classification)
     ASSERT_EQ(
         csv_res.str(),
         "CLASS,TOTAL_VOTES,TRUE_POSITIVES,FALSE_NEGATIVES,FALSE_POSITIVES,TRUE_NEGATIVES,PRECISION,RECALL,PREVALENCE,"
-        "ACCURACY,F_MEASURE\n0,2,1,0,1,2,0.5,0.5,0.25,0.75,0.5\n1,2,2,0,0,2,1,1,0.5,1,1\n");
+        "ACCURACY,F_SCORE\n0,2,1,0,1,2,0.5,0.5,0.25,0.75,0.5\n1,2,2,0,0,2,1,1,0.5,1,1\n");
 }