Fix file name

2.association_rules.ipynb → 2.1.association_rules_apriori_fpg.ipynb

@@ -226,7 +226,9 @@
    "source": [
     "min_support = CONSTANTS.MIN_SUPPORT_VALUE\n",
     "repeated_item_sets_apriori = HELPERS.find_repeated_item_sets(\n",
-    "    algorithm = 'apriori', data = df, min_support = min_support)\n",
+    "    algorithm = 'apriori',\n",
+    "    data = df,\n",
+    "    min_support = min_support)\n",
     "print(f\"Repeated item sets using Apriori with min_support = {min_support}:\")\n",
     "repeated_item_sets_apriori"
    ]
@@ -550,7 +552,9 @@
    "source": [
     "min_support = CONSTANTS.MIN_SUPPORT_VALUE\n",
     "repeated_item_sets_fpg = HELPERS.find_repeated_item_sets(\n",
-    "    algorithm = 'fpgrowth', data = df, min_support = min_support)\n",
+    "    algorithm = 'fpgrowth',\n",
+    "    data = df,\n",
+    "    min_support = min_support)\n",
     "print(f\"Repeated item sets using FP Growth with min_support = {min_support}:\")\n",
     "repeated_item_sets_fpg"
    ]
@@ -712,7 +716,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# ***4. Performance comparison***\n",
+    "# ***3. Performance comparison***\n",
     "[Back to contents](#Contents)"
    ]
   },
@@ -720,7 +724,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## ***4.1. Load dataset***"
+    "## ***3.1. Load dataset***"
    ]
   },
   {
@@ -747,7 +751,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## ***4.2. Measure time for Apriori***"
+    "## ***3.2. Measure time for Apriori***"
    ]
   },
   {
@@ -759,7 +763,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Execution time for Apriori: 10.025006294250488 seconds\n"
+      "Execution time for Apriori: 11.745002031326294 seconds\n"
      ]
     }
    ],
@@ -784,7 +788,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## ***4.3. Measure time for FP Growth***"
+    "## ***3.3. Measure time for FP Growth***"
    ]
   },
   {
@@ -796,7 +800,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Execution time for FP Growth: 2.471029281616211 seconds\n"
+      "Execution time for FP Growth: 2.6620032787323 seconds\n"
      ]
     }
    ],
@@ -821,14 +825,14 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## ***4.5. Results***"
+    "## ***3.4. Results***"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "> **As we can notice, `FP Growth` is much faster than `Apriori`** ***(about 4 times faster!)***.  \n",
+    "> **As we can notice, `FP Growth` is much faster than `Apriori`** ***(about 5 times faster!)***.  \n",
     "> **This is because `FP Growth` requires access the dataset multiple times to find repeated groups, when `Apriori` constructs the tree from the beginning and then don't access dataset again (working only with tree)**"
    ]
   }