total train and test daata

ML/.ipynb_checkpoints/fruit_recognition-checkpoint.ipynb

@@ -312,6 +312,25 @@
     "X_train, X_test, y_train, y_test = train_test_split(X_Shapedes, y_Shapedes, test_size=0.33, random_state=42)"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Total train data : 12815\n",
+      "Total test data : 6312\n"
+     ]
+    }
+   ],
+   "source": [
+    "print('Total train data :',X_train.shape[0])\n",
+    "print('Total test data :',X_test.shape[0])"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,

ML/fruit_recognition.ipynb

@@ -312,6 +312,25 @@
     "X_train, X_test, y_train, y_test = train_test_split(X_Shapedes, y_Shapedes, test_size=0.33, random_state=42)"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Total train data : 12815\n",
+      "Total test data : 6312\n"
+     ]
+    }
+   ],
+   "source": [
+    "print('Total train data :',X_train.shape[0])\n",
+    "print('Total test data :',X_test.shape[0])"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,