diff --git a/DIRECTORY.md b/DIRECTORY.md
index 14152e4ab..384ce1b22 100644
--- a/DIRECTORY.md
+++ b/DIRECTORY.md
@@ -340,6 +340,7 @@
   * [Rod Cutting](dynamic_programming/rod_cutting.py)
   * [Subset Generation](dynamic_programming/subset_generation.py)
   * [Sum Of Subset](dynamic_programming/sum_of_subset.py)
+  * [Tribonacci](dynamic_programming/tribonacci.py)
   * [Viterbi](dynamic_programming/viterbi.py)
   * [Word Break](dynamic_programming/word_break.py)
 
diff --git a/machine_learning/forecasting/run.py b/machine_learning/forecasting/run.py
index 88c4a537b..64e719daa 100644
--- a/machine_learning/forecasting/run.py
+++ b/machine_learning/forecasting/run.py
@@ -11,6 +11,8 @@ missing (the amount of data that u expected are not supposed to be)
          u can just adjust it for ur own purpose
 """
 
+from warnings import simplefilter
+
 import numpy as np
 import pandas as pd
 from sklearn.preprocessing import Normalizer
@@ -45,8 +47,10 @@ def sarimax_predictor(train_user: list, train_match: list, test_match: list) ->
     >>> sarimax_predictor([4,2,6,8], [3,1,2,4], [2])
     6.6666671111109626
     """
+    # Suppress the User Warning raised by SARIMAX due to insufficient observations
+    simplefilter("ignore", UserWarning)
     order = (1, 2, 1)
-    seasonal_order = (1, 1, 0, 7)
+    seasonal_order = (1, 1, 1, 7)
     model = SARIMAX(
         train_user, exog=train_match, order=order, seasonal_order=seasonal_order
     )