diff --git a/03_Machine_Learning/mRNA_TCGA_limma_dataset_svm_final.ipynb b/03_Machine_Learning/mRNA_TCGA_limma_dataset_svm_final.ipynb
index 51b70ce82ad55d7f42e700db8882a3e52e76da49..d1ee5e644c85b79639df61a7a25d0fe85311c810 100644
--- a/03_Machine_Learning/mRNA_TCGA_limma_dataset_svm_final.ipynb
+++ b/03_Machine_Learning/mRNA_TCGA_limma_dataset_svm_final.ipynb
@@ -7,7 +7,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "## TRAINING SET : MERGED DATA , TESTING DATA: TCGA mRNA data"
+    "## TRAINING SET : MERGED DATA , TESTING DATA: TCGA mRNA data, MODEL: Support Vector Machine"
    ]
   },
   {
diff --git a/03_Machine_Learning/mRNA_TCGA_limma_dataset_xgb_final.ipynb b/03_Machine_Learning/mRNA_TCGA_limma_dataset_xgb_final.ipynb
index 9f76496637de6a1c38ed6292d945dc31efca39b9..3610e06ace61010a9a561af9029eeaee85313d38 100644
--- a/03_Machine_Learning/mRNA_TCGA_limma_dataset_xgb_final.ipynb
+++ b/03_Machine_Learning/mRNA_TCGA_limma_dataset_xgb_final.ipynb
@@ -1,5 +1,15 @@
 {
  "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1f4f9ab3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "## TRAINING SET : MERGED DATA , TESTING DATA: TCGA mRNA data, MODEL: XGBoost"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 3,