Activate best score in odte

src/BayesNet/BoostAODE.cc

@@ -125,7 +125,7 @@ namespace bayesnet {
         // Step 0: Set the finish condition
         // if not repeatSparent a finish condition is run out of features
         // n_models == maxModels
-        // epsiolon sub t > 0.5 => inverse the weights policy
+        // epsilon sub t > 0.5 => inverse the weights policy
         // validation error is not decreasing
         while (!exitCondition) {
             // Step 1: Build ranking with mutual information

src/Platform/BestResults.cc

@@ -162,7 +162,6 @@ namespace platform {
             maxHyper = max(maxHyper, (int)item.value().at(1).dump().size());
             maxFileName = max(maxFileName, (int)item.value().at(2).get<string>().size());
         }
-        cout << "Hola" << endl;
         stringstream oss;
         oss << Colors::GREEN() << "Best results for " << model << " as of " << date << endl;
         cout << oss.str();

src/Platform/BestScore.h

@@ -11,7 +11,7 @@ namespace platform {
         {
             static map<pair<string, string>, pair<string, double>> data = {
                {{"discretiz", "accuracy"}, {"STree_default (linear-ovo)",  22.109799}},
-               //{{"odte", "accuracy"}, {"STree_default (linear-ovo)",  22.109799}},
+               {{"odte", "accuracy"}, {"STree_default (linear-ovo)",  22.109799}},
             };
             auto env = platform::DotEnv();
             string experiment = env.get("experiment");

src/Platform/Results.cc

@@ -1,6 +1,5 @@
 #include "Results.h"
 #include <algorithm>
-#include <iostream>
 
 namespace platform {
     Results::Results(const string& path, const string& model, const string& score, bool complete, bool partial) :