Add nodes, leaves, depth to mysql

Add nodes, leaves, depth, samples, features and classes to analysis

experimentation/Database.py

@@ -176,6 +176,7 @@ class BD(ABC):
         accuracy,
         time_spent,
         parameters,
+        complexity,
     ) -> None:
         """Create a record in MySQL database
 
@@ -187,8 +188,8 @@ class BD(ABC):
         command_insert = (
             "replace into results (date, time, type, accuracy, "
             "dataset, classifier, norm, stand, parameters, accuracy_std, "
-            "time_spent, time_spent_std) values (%s, %s, "
-            "%s, %s, %s, %s, %s, %s, %s, %s, %s, %s)"
+            "time_spent, time_spent_std, nodes, leaves, depth) values (%s, %s,"
+            " %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)"
         )
         now = datetime.now()
         date = now.strftime("%Y-%m-%d")
@@ -206,6 +207,9 @@ class BD(ABC):
             accuracy[1],
             time_spent[0],
             time_spent[1],
+            complexity["nodes"],
+            complexity["leaves"],
+            complexity["depth"],
         )
         cursor = database.cursor()
         cursor.execute(command_insert, values)
@@ -319,7 +323,9 @@ class Outcomes(BD):
         self._table = "outcomes"
         super().__init__(host=host, model=model)
 
-    def store(self, dataset, normalize, standardize, parameters, results):
+    def store(
+        self, dataset, normalize, standardize, parameters, results, complexity
+    ):
         outcomes = ["fit_time", "score_time", "train_score", "test_score"]
         data = ""
         for index in outcomes:
@@ -350,6 +356,7 @@ class Outcomes(BD):
                 float(np.std(results["fit_time"])),
             ],
             parameters,
+            complexity,
         )
 
     def report(self, dataset, exclude_params):