Add Classification report to end of experiment if only one dataset is tested

src/reports/ReportConsole.cpp

@@ -3,6 +3,7 @@
 #include "best/BestScore.h"
 #include "common/CLocale.h"
 #include "ReportConsole.h"
+#include "main/Scores.h"
 
 namespace platform {
     std::string ReportConsole::headerLine(const std::string& text, int utf = 0)
@@ -164,4 +165,16 @@ namespace platform {
             std::cout << headerLine("*** Best Results File not found. Couldn't compare any result!");
         }
     }
+    void ReportConsole::showClassificationReport()
+    {
+        if (data["results"].size() > 1)
+            return;
+        auto item = data["results"][0];
+        auto scores = Scores(item["confusion_matrices"][0]);
+        for (int i = 1; i < item["confusion_matrices"].size(); i++) {
+            auto score = Scores(item["confusion_matrices"][i]);
+            scores.aggregate(score);
+        }
+        std::cout << Colors::BLUE() << scores.classification_report() << Colors::RESET();
+    }
 }

src/reports/ReportConsole.h

@@ -14,6 +14,7 @@ namespace platform {
         std::string fileReport();
         std::string getHeader() { do_header(); do_body(); return sheader.str(); }
         std::vector<std::string>& getBody() { return vbody; }
+        void showClassificationReport();
     private:
         int selectedIndex;
         std::string headerLine(const std::string& text, int utf);