Add results report

Add directory of datasets
Add validation test

dir_data.py

@@ -0,0 +1,32 @@
+import os
+import pandas as pd
+import numpy as np
+from experimentation.Utils import TextColor
+from experimentation.Sets import Datasets
+
+path = os.path.join(os.getcwd(), "data/tanveer")
+color = TextColor.LINE1
+dt = np.array(list(Datasets(False, False, "tanveer")), dtype="object")
+dt = dt[:, 0]
+good = bad = 0
+for folder in sorted(os.listdir(path)):
+    file_name = os.path.join(path, folder, f"{folder}_R.dat")
+    try:
+        data = pd.read_csv(
+            file_name,
+            sep="\t",
+            index_col=0,
+        )
+        X = data.drop("clase", axis=1).to_numpy()
+        y = data["clase"].to_numpy()
+        sign = "*" if folder in dt else "-"
+        print(color + f"{folder:30s} {str(X.shape):>10s} {sign}")
+        color = (
+            TextColor.LINE1 if color == TextColor.LINE2 else TextColor.LINE2
+        )
+        good += 1
+    except FileNotFoundError:
+        print(TextColor.FAIL + f"{folder} not found.")
+        bad += 1
+print(TextColor.SUCCESS + f"{good:3d} datasets Ok.")
+print(TextColor.FAIL + f"{bad:3d} datasets Wrong.")