Add oc1 and cart models

Update analysis and report mysql

oc1results.py

@@ -0,0 +1,51 @@
+import os
+from datetime import datetime
+from experimentation.Sets import Datasets
+from experimentation.Database import MySQL
+
+
+def store_result(database, dataset, accuracy, time_spent):
+    command_insert = (
+        "replace into results (date, time, type, accuracy, "
+        "dataset, classifier, norm, stand, time_spent, parameters) values (%s,"
+        " %s, %s, %s, %s, %s, %s, %s, %s, %s)"
+    )
+    now = datetime.now()
+    date = now.strftime("%Y-%m-%d")
+    time = now.strftime("%H:%M:%S")
+    values = (
+        date,
+        time,
+        "crossval",
+        accuracy,
+        dataset,
+        "oc1",
+        True,
+        False,
+        time_spent,
+        str({"random_state": 1}),
+    )
+    cursor = database.cursor()
+    cursor.execute(command_insert, values)
+    database.commit()
+
+
+def get_result(name):
+    filename = os.path.join("data", "oc1output", f"{name}.txt")
+    result_file = open(filename, "r")
+    lines = result_file.readlines()
+    accuracy = float(lines[-2].split("= ")[1].split("#")[0]) / 100
+    time = float(lines[-1])
+    print(f"accuracy=[{accuracy}] time=[{time}]")
+    result_file.close()
+    return accuracy, time
+
+
+dbh = MySQL()
+database = dbh.get_connection()
+dt = Datasets(False, False, "tanveer")
+for dataset in dt:
+    print(f"Processing {dataset[0]:30s}", end=" ")
+    accuracy, time_spent = get_result(dataset[0])
+    store_result(database, dataset[0], accuracy, time_spent)
+dbh.close()