model saved

proficiency-identification.ipynb

@@ -418,6 +418,17 @@
     "plt.tight_layout()\n",
     "plt.show()\n"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Save Random Forest Classifier\n",
+    "with open('weights/proficiency-rf.pickle', 'wb') as f:\n",
+    "    pickle.dump(rfc, f)"
+   ]
   }
  ],
  "metadata": {