Updated splitting logic to check between samples, fixed issue with duplicate samples different classifications, updated graph printing, fixed gini impurity calculation (is not weighted not summed) - machinelearning - Unnamed repository; edit this file 'description' to name the repository.

commit 1b15fb5649efb33bc8d29c7ae443c6ba5fc6dd25
parent d26287ba2aa1a352559d29aa00decaabdb68d42e
Author: Andrew <andrewlaack1@gmail.com>
Date:   Tue, 29 Oct 2024 17:42:41 -0500

Updated splitting logic to check between samples, fixed issue with duplicate samples different classifications, updated graph printing, fixed gini impurity calculation (is not weighted not summed)

Diffstat:
M decisionTreeClassifierFromScratch/DecisionTreeClassifier.ipynb  | 438 ++++++++++++++++++++++++++++++++++---------------------------------------------

1 file changed, 186 insertions(+), 252 deletions(-)
diff --git a/decisionTreeClassifierFromScratch/DecisionTreeClassifier.ipynb b/decisionTreeClassifierFromScratch/DecisionTreeClassifier.ipynb
@@ -12,9 +12,25 @@
     "- [x] Create recursive splitting method\n",
     "- [x] Print Tree\n",
     "\n",
-    "LATER:\n",
+    "10.29:\n",
     "\n",
-    "6. Create prediction method"
+    "- [x] Update splitting logic (check between)\n",
+    "- [x] Fix duplicate issue\n",
+    "- [x] Update the way information shown for each node\n",
+    "- [x] Add max depth option and checking for same samples different classifications\n",
+    "- [x] Fix gini\n",
+    "\n",
+    "Next Stream:\n",
+    "- [ ] Create prediction method\n",
+    "- [ ] Update printing for tree\n",
+    "- [ ] Encapsulate tree in class\n",
+    "\n",
+    "Future Stream:\n",
+    "- [ ] Add optimal decision tree (ODT)\n",
+    "- [ ] Update decision tree to work as random forest estimator (stochastic)\n",
+    "\n",
+    "Pipe Dream:\n",
+    "- [ ] Graph random forest (show axis splits)"
    ]
   },
   {
@@ -65,22 +81,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 140,
+   "execution_count": 114,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.PathCollection at 0x7f037486e2d0>"
+       "<matplotlib.collections.PathCollection at 0x7f83811d1910>"
       ]
      },
-     "execution_count": 140,
+     "execution_count": 114,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -92,21 +108,16 @@
    "source": [
     "import matplotlib.pyplot as plt\n",
     "import numpy as np\n",
+    "import random\n",
+    "\n",
     "\n",
-    "values = [\n",
-    "    [1 , 10 , 0],\n",
-    "    [2 , 10 , 0],\n",
-    "    [3 , 12 , 0],\n",
-    "    [3 , 9 , 1],\n",
-    "    [1 , 7 , 1],\n",
-    "    [2 , 9 , 1],\n",
-    "    [1 , 15 , 1],\n",
-    "    [2 , 20 , 1],\n",
-    "    [3 , 15 , 1],\n",
-    "    [3.2 , 20 , 1],\n",
-    "    [3.5 , 30 , 1],\n",
-    "]\n",
+    "values = []\n",
     "\n",
+    "for i in range(0,1000):\n",
+    "    values.append([random.random(), random.random(), 0])\n",
+    "\n",
+    "for i in range(0,1000):\n",
+    "    values.append([random.random(), random.random() + 2, 1])\n",
     "values = np.array(values)\n",
     "\n",
     "plt.scatter(x = values[:,0], y = values[:,1], c= values[:,2], cmap=\"jet\")"
@@ -114,46 +125,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 141,
+   "execution_count": 117,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "array([[ 1. , 10. ,  0. ],\n",
-       "       [ 2. , 10. ,  0. ],\n",
-       "       [ 3. , 12. ,  0. ],\n",
-       "       [ 3. ,  9. ,  1. ],\n",
-       "       [ 1. ,  7. ,  1. ],\n",
-       "       [ 2. ,  9. ,  1. ],\n",
-       "       [ 1. , 15. ,  1. ],\n",
-       "       [ 2. , 20. ,  1. ],\n",
-       "       [ 3. , 15. ,  1. ],\n",
-       "       [ 3.2, 20. ,  1. ],\n",
-       "       [ 3.5, 30. ,  1. ]])"
+       "0.48"
       ]
      },
-     "execution_count": 141,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "values"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 142,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0.39669421487603307"
-      ]
-     },
-     "execution_count": 142,
+     "execution_count": 117,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -183,26 +164,29 @@
     "        # cur = instances of current class\n",
     "        cur = counts[i] \n",
     "        sum += (cur/len(elements)) ** 2\n",
-    "    return 1 - sum\n",
     "\n",
+    "    return 1 - sum\n",
     "\n",
     "giniImpurity(values)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 143,
+   "execution_count": 118,
    "metadata": {},
    "outputs": [],
    "source": [
     "import graphviz\n",
     "\n",
     "class SplitNode:\n",
-    "    def __init__(self, colNum=None, criteria=None, leftNode=None, rightNode=None):\n",
+    "    def __init__(self, colNum=None, criteria=None, leftNode=None, rightNode=None, gini=None, samples=None, value=None):\n",
     "        self.colNum = colNum\n",
     "        self.criteria = criteria\n",
     "        self.leftNode = leftNode\n",
     "        self.rightNode = rightNode\n",
+    "        self.gini = gini\n",
+    "        self.samples = samples\n",
+    "        self.value = value\n",
     "     \n",
     "    # Column number we are splitting on\n",
     "    colNum = None\n",
@@ -235,16 +219,16 @@
     "\n",
     "    if curNode.colNum == None:\n",
     "        # Maybe add impurity stats later\n",
-    "        diGraph.node(str(id(curNode)), f\"Leaf\")\n",
+    "        diGraph.node(str(id(curNode)), f\"gini: {str(round(curNode.gini,3))} \\n samples: {str(curNode.samples)} \\n value: {str(curNode.value)}\")\n",
     "        if prior != \"0\":\n",
     "            diGraph.edge(prior, str(id(curNode)))\n",
     "        return\n",
     "\n",
-    "    splitOn = str(curNode.colNum)\n",
+    "    splitOn = f\"x[{str(curNode.colNum)}]\"\n",
     "    if(len(columnNames) > curNode.colNum):\n",
     "        splitOn = columnNames[curNode.colNum]\n",
     "    \n",
-    "    diGraph.node(str(id(curNode)), f\"Split on: {splitOn} \\n Split Value: <= {str(curNode.criteria)}\")\n",
+    "    diGraph.node(str(id(curNode)), f\"{splitOn} <= {str(round(curNode.criteria, 3))} \\n  gini: {str(round(curNode.gini,3))} \\n samples: {str(curNode.samples)} \\n value: {str(curNode.value)}\")\n",
     "    if curNode.leftNode != None:\n",
     "        helperGraph(str(id(curNode)), curNode.leftNode, diGraph, columnNames)\n",
     "\n",
@@ -264,37 +248,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 144,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([[ 1. , 10. ,  0. ],\n",
-       "       [ 2. , 10. ,  0. ],\n",
-       "       [ 3. , 12. ,  0. ],\n",
-       "       [ 3. ,  9. ,  1. ],\n",
-       "       [ 1. ,  7. ,  1. ],\n",
-       "       [ 2. ,  9. ,  1. ],\n",
-       "       [ 1. , 15. ,  1. ],\n",
-       "       [ 2. , 20. ,  1. ],\n",
-       "       [ 3. , 15. ,  1. ],\n",
-       "       [ 3.2, 20. ,  1. ],\n",
-       "       [ 3.5, 30. ,  1. ]])"
-      ]
-     },
-     "execution_count": 144,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "values"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 145,
+   "execution_count": 119,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -315,63 +269,116 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 146,
+   "execution_count": 120,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "# map categories with an appropriate index for storing value array\n",
+    "catMap = {}\n",
+    "cats = values[:,-1]\n",
+    "cats.sort()\n",
+    "count = 0\n",
+    "for i in cats:\n",
+    "    try: \n",
+    "        catMap[i]\n",
+    "    except:\n",
+    "        catMap[i] = count\n",
+    "        count += 1 \n",
+    "\n",
+    "# list of samples to count\n",
+    "def getValue(samples):\n",
+    "    count = [0] * len(catMap.keys())\n",
+    "    for i in samples:\n",
+    "        count[catMap[i[-1]]] += 1\n",
+    "    return count"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 121,
    "metadata": {},
    "outputs": [],
    "source": [
     "# take input of samples as matrix (np.array)\n",
     "# return splitting node\n",
-    "def recurse(samples):\n",
     "\n",
-    "    if giniImpurity(samples) == 0:\n",
-    "        return SplitNode()\n",
+    "def recurse(samples, remainingDepth):\n",
+    "    if giniImpurity(samples) == 0 or remainingDepth == 0:\n",
+    "        return SplitNode(gini=giniImpurity(samples), value=getValue(samples), samples=len(samples))\n",
     "    \n",
+    "    remainingDepth -= 1\n",
+    "    \n",
+    "    # Check to see if all instances are the same apart from categorization\n",
+    "    # (edge case to consider)\n",
+    "\n",
+    "    prior = samples[0][:-1]\n",
+    "    valid = False\n",
+    "\n",
+    "    for i in range(1, len(samples)):\n",
+    "        for x in range(0,len(prior)):\n",
+    "            if not samples[i][x] == prior[x]:\n",
+    "                valid = True\n",
+    "                break\n",
+    "        prior = samples[i][:-1]\n",
+    "\n",
+    "\n",
+    "    if not valid:\n",
+    "        return SplitNode(gini=giniImpurity(samples), value=getValue(samples), samples=len(samples))\n",
+    "\n",
+    "\n",
+    "\n",
     "    # Track best choice so far\n",
-    "    bestGini = 1\n",
+    "    bestP = 1\n",
     "    colNum = 0\n",
     "    criteria = 0\n",
     "\n",
-    "    for i in range(len(samples)):\n",
-    "        for x in range(0,len(samples[i])-1):\n",
+    "    for x in range(0,len(samples[0]) - 1):\n",
+    "\n",
+    "\n",
+    "        # samples is all samples\n",
+    "        # sort samples on the xth column\n",
+    "        # ensure we can interpolate for splits\n",
+    "\n",
+    "        samples = samples[samples[:, x].argsort()]\n",
+    "        \n",
+    "        for i in range(len(samples) - 1):\n",
     "\n",
     "            # i = current row\n",
     "            # x = current column\n",
-    "            \n",
-    "            leftArr, rightArr = split(samples, samples[i][x], x)\n",
-    "            gini = giniImpurity(leftArr)\n",
-    "            gini += giniImpurity(rightArr)\n",
-    "            if gini < bestGini:\n",
-    "                bestGini = gini\n",
+    "            crit = samples[i][x] + ((samples[i+1][x] - samples[i][x]) / 2)\n",
+    "\n",
+    "            leftArr, rightArr = split(samples, crit, x)\n",
+    "            lGini = giniImpurity(leftArr)\n",
+    "            rGini = giniImpurity(rightArr)\n",
+    "\n",
+    "            pLeft = len(leftArr) / len(samples)\n",
+    "            pRight = len(rightArr) / len(samples)\n",
+    "\n",
+    "            p = rGini * pRight + lGini * pLeft\n",
+    "\n",
+    "            if p <= bestP:\n",
+    "                bestP = p\n",
     "                colNum = x\n",
-    "                criteria = samples[i][x]\n",
+    "                criteria = crit\n",
     "\n",
     "    leftArr, rightArr = split(samples, criteria, colNum)\n",
     "    # colNum, criteria, leftNode, rightNode\n",
-    "    splitNode = SplitNode(colNum, criteria, recurse(leftArr), recurse(rightArr))\n",
+    "    splitNode = SplitNode(colNum=colNum, criteria=criteria, leftNode=recurse(leftArr, remainingDepth), rightNode=recurse(rightArr, remainingDepth), samples=len(samples), gini=giniImpurity(samples), value=getValue(samples))\n",
     "    return splitNode\n",
     "\n",
-    "rootNode = recurse(values)"
+    "rootNode = recurse(values, 2)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 147,
+   "execution_count": 122,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Split on: 1 Split Value: <= 7.0\n",
-      "Split on: None Split Value: <= None\n",
-      "Split on: 1 Split Value: <= 20.0\n",
-      "Split on: 0 Split Value: <= 3.0\n",
-      "Split on: 1 Split Value: <= 12.0\n",
-      "Split on: 1 Split Value: <= 9.0\n",
-      "Split on: None Split Value: <= None\n",
-      "Split on: None Split Value: <= None\n",
-      "Split on: None Split Value: <= None\n",
-      "Split on: None Split Value: <= None\n",
       "Split on: None Split Value: <= None\n",
       "\n"
      ]
@@ -383,7 +390,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 151,
+   "execution_count": 123,
    "metadata": {},
    "outputs": [
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+       "<text text-anchor=\"middle\" x=\"56.5\" y=\"-37.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.48</text>\n",
+       "<text text-anchor=\"middle\" x=\"56.5\" y=\"-22.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 5</text>\n",
+       "<text text-anchor=\"middle\" x=\"56.5\" y=\"-7.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [3, 2]</text>\n",
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+       "</svg>\n"
+      ],
+      "text/plain": [
+       "<graphviz.sources.Source at 0x7f8380e4a450>"
+      ]
+     },
+     "execution_count": 123,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from sklearn.tree import DecisionTreeClassifier, export_graphviz\n",
+    "from graphviz import Source\n",
+    "from sklearn.tree import export_graphviz\n",
+    "\n",
+    "clf = DecisionTreeClassifier(max_depth=2, max_leaf_nodes=100000, max_features=1)\n",
+    "clf.fit(values[:,(0,1)].reshape(-1,2), values[:, 2].reshape(-1,1))\n",
+    "data = export_graphviz(clf, filled=True)\n",
+    "Source(data)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 124,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/svg+xml": [
+       "<?xml version=\"1.0\" encoding=\"UTF-8\" standalone=\"no\"?>\n",
+       "<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n",
+       " \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n",
+       "<!-- Generated by graphviz version 2.43.0 (0)\n",
+       " -->\n",
+       "<!-- Title: %3 Pages: 1 -->\n",
+       "<svg width=\"158pt\" height=\"83pt\"\n",
+       " viewBox=\"0.00 0.00 157.91 82.95\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n",
+       "<g id=\"graph0\" class=\"graph\" transform=\"scale(1 1) rotate(0) translate(4 78.95)\">\n",
+       "<title>%3</title>\n",
+       "<polygon fill=\"white\" stroke=\"transparent\" points=\"-4,4 -4,-78.95 153.91,-78.95 153.91,4 -4,4\"/>\n",
+       "<!-- 140202778122512 -->\n",
+       "<g id=\"node1\" class=\"node\">\n",
+       "<title>140202778122512</title>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"74.95\" cy=\"-37.48\" rx=\"74.91\" ry=\"37.45\"/>\n",
+       "<text text-anchor=\"middle\" x=\"74.95\" y=\"-48.78\" font-family=\"Times,serif\" font-size=\"14.00\">gini: 0.48 </text>\n",
+       "<text text-anchor=\"middle\" x=\"74.95\" y=\"-33.78\" font-family=\"Times,serif\" font-size=\"14.00\"> samples: 5 </text>\n",
+       "<text text-anchor=\"middle\" x=\"74.95\" y=\"-18.78\" font-family=\"Times,serif\" font-size=\"14.00\"> value: [3, 2]</text>\n",
        "</g>\n",
        "</g>\n",
        "</svg>\n"
       ],
       "text/plain": [
-       "<graphviz.graphs.Digraph at 0x7f03746bb290>"
+       "<graphviz.graphs.Digraph at 0x7f83811ab890>"
       ]
      },
-     "execution_count": 151,
+     "execution_count": 124,
      "metadata": {},
      "output_type": "execute_result"
     }

	machinelearning Unnamed repository; edit this file 'description' to name the repository.
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