update tree filename

.gitignore

@@ -1,3 +1,3 @@
 data.*
 __pycache__
-tree.tree
+tree.json

DecisionTree.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 26,
    "id": "d5618056",
    "metadata": {},
    "outputs": [],
@@ -21,14 +21,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 27,
    "id": "d336971a",
    "metadata": {},
    "outputs": [],
    "source": [
     "# extract argument\n",
     "inputfile = \"data.csv\"\n",
-    "outputfile = \"tree.tree\"\n",
+    "outputfile = \"tree.json\"\n",
     "#testfile = args.t\n",
     "\n",
     "# output the tree\n",
@@ -103,19 +103,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": null,
    "id": "b96f3403",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "train accuracy: 0.879490682862549\n",
-      "test accuracy: 0.879490682862549\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Training set X and Y\n",
     "Set1 = pd.read_csv(inputfile)\n",
@@ -147,7 +138,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": null,
    "id": "7f36344d",
    "metadata": {},
    "outputs": [],