diff --git a/src/main/Experiment.cpp b/src/main/Experiment.cpp
index 156cd99..07e095e 100644
--- a/src/main/Experiment.cpp
+++ b/src/main/Experiment.cpp
@@ -16,7 +16,7 @@ namespace platform {
         ReportConsole report(result.getJson());
         report.show();
         if (classification_report) {
-            std::cout << Colors::BLUE() << report.showClassificationReport() << Colors::RESET();
+            std::cout << report.showClassificationReport(Colors::BLUE());
         }
     }
     void Experiment::show()
diff --git a/src/main/Scores.cpp b/src/main/Scores.cpp
index 72095be..737af29 100644
--- a/src/main/Scores.cpp
+++ b/src/main/Scores.cpp
@@ -1,5 +1,6 @@
 #include <sstream>
 #include "Scores.h"
+#include "common/Colors.h"
 namespace platform {
     Scores::Scores(torch::Tensor& y_test, torch::Tensor& y_pred, int num_classes, std::vector<std::string> labels) : num_classes(num_classes), labels(labels)
     {
@@ -128,14 +129,14 @@ namespace platform {
             << std::setw(dlen) << std::right << support << std::endl;
         return oss.str();
     }
-    std::string Scores::classification_report()
+    std::string Scores::classification_report(std::string color)
     {
         std::stringstream oss;
         for (int i = 0; i < num_classes; i++) {
             label_len = std::max(label_len, (int)labels[i].size());
         }
-        oss << "Classification Report" << std::endl;
-        oss << "=====================" << std::endl;
+        oss << Colors::GREEN() << "Classification Report" << std::endl;
+        oss << "=====================" << std::endl << color;
         oss << std::string(label_len, ' ') << " precision recall    f1-score  support" << std::endl;
         oss << std::string(label_len, ' ') << " ========= ========= ========= =========" << std::endl;
         for (int i = 0; i < num_classes; i++) {
@@ -160,16 +161,19 @@ namespace platform {
         recall_avg /= num_classes;
         oss << classification_report_line("macro avg", precision_avg, recall_avg, f1_macro(), total);
         oss << classification_report_line("weighted avg", precision_wavg, recall_wavg, f1_weighted(), total);
-        oss << std::endl << "Confusion Matrix" << std::endl;
-        oss << "================" << std::endl;
+        oss << std::endl << Colors::GREEN() << "Confusion Matrix" << std::endl;
+        oss << "================" << std::endl << color;
         auto number = total > 1000 ? 4 : 3;
         for (int i = 0; i < num_classes; i++) {
             oss << std::right << std::setw(label_len) << labels[i] << " ";
             for (int j = 0; j < num_classes; j++) {
+                if (i == j) oss << Colors::GREEN();
                 oss << std::setw(number) << confusion_matrix[i][j].item<int>() << " ";
+                if (i == j) oss << color;
             }
             oss << std::endl;
         }
+        oss << Colors::RESET();
         return oss.str();
     }
     json Scores::get_confusion_matrix_json(bool labels_as_keys)
diff --git a/src/main/Scores.h b/src/main/Scores.h
index 9de92a0..1f5bb8f 100644
--- a/src/main/Scores.h
+++ b/src/main/Scores.h
@@ -17,7 +17,7 @@ namespace platform {
         float precision(int num_class);
         float recall(int num_class);
         torch::Tensor get_confusion_matrix() { return confusion_matrix; }
-        std::string classification_report();
+        std::string classification_report(std::string color = "");
         json get_confusion_matrix_json(bool labels_as_keys = false);
         void aggregate(const Scores& a);
     private:
diff --git a/src/reports/ReportConsole.cpp b/src/reports/ReportConsole.cpp
index f029fc4..a44be15 100644
--- a/src/reports/ReportConsole.cpp
+++ b/src/reports/ReportConsole.cpp
@@ -136,7 +136,7 @@ namespace platform {
         sbody << std::string(MAXL, '*') << Colors::RESET() << std::endl;
         vbody.push_back(std::string(MAXL, '*') + Colors::RESET() + "\n");
         if (lastResult.find("confusion_matrices") != lastResult.end() && (data["results"].size() == 1 || selectedIndex != -1)) {
-            vbody.push_back(Colors::BLUE() + showClassificationReport() + Colors::RESET());
+            vbody.push_back(showClassificationReport(Colors::BLUE()));
         }
     }
     void ReportConsole::showSummary()
@@ -169,7 +169,7 @@ namespace platform {
             std::cout << headerLine("*** Best Results File not found. Couldn't compare any result!");
         }
     }
-    std::string ReportConsole::showClassificationReport()
+    std::string ReportConsole::showClassificationReport(std::string color)
     {
         auto lastResult = data["results"][0];
         if (data["results"].size() > 1 || lastResult.find("confusion_matrices") == lastResult.end())
@@ -180,6 +180,6 @@ namespace platform {
             auto score = Scores(item["confusion_matrices"][i]);
             scores.aggregate(score);
         }
-        return scores.classification_report();
+        return scores.classification_report(color);
     }
 }
\ No newline at end of file
diff --git a/src/reports/ReportConsole.h b/src/reports/ReportConsole.h
index c85cc39..a332e31 100644
--- a/src/reports/ReportConsole.h
+++ b/src/reports/ReportConsole.h
@@ -14,7 +14,7 @@ namespace platform {
         std::string fileReport();
         std::string getHeader() { do_header(); do_body(); return sheader.str(); }
         std::vector<std::string>& getBody() { return vbody; }
-        std::string showClassificationReport();
+        std::string showClassificationReport(std::string color);
     private:
         int selectedIndex;
         std::string headerLine(const std::string& text, int utf);