{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "bf35e8f3",
   "metadata": {},
   "source": [
    "# Do Communication Apprehension Scores Predict Regular Public Transit Use?\n",
    "\n",
    "### A Random Forest evaluation of group & interpersonal PRCA as predictors of weekly+ ridership\n",
    "\n",
    "**Course:** PSYCH 755 · University of Wisconsin–Madison  \n",
    "**Project:** CA persona / PRCA research framework  \n",
    "**Notebook role:** Secondary research question — psychological predictors of transit behavior  \n",
    "\n",
    "---\n",
    "\n",
    "#### Research question\n",
    "\n",
    "> Among Prolific↔Qualtrics **matched** respondents with complete PRCA ground truth, do **group** and **interpersonal** communication-apprehension scores predict whether an individual takes **public transportation regularly**?\n",
    "\n",
    "| Element | Specification |\n",
    "|---|---|\n",
    "| **Outcome** | `regular_transit`: `Q26` ∈ {`4-8 days a month`, `8 or more days a month`} |\n",
    "| **Features** | `gt_group_ca`, `gt_interpersonal_ca` (PRCA subscales, range 6–30) |\n",
    "| **Model** | Balanced Random Forest + stratified 5-fold CV |\n",
    "| **Comparisons** | Chance baseline; group-only RF; interpersonal-only RF |\n",
    "\n",
    "This notebook pairs with the written interpretation in [`docs/secondary_rq_ca_predicts_transit.md`](../docs/secondary_rq_ca_predicts_transit.md).\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f0d9926c",
   "metadata": {},
   "source": [
    "## 1. Analytic roadmap\n",
    "\n",
    "| Section | Content |\n",
    "|---|---|\n",
    "| **2. Setup** | Imports, paths, presentation styling |\n",
    "| **3. Sample** | Matched File A/B/C cohort; outcome definition |\n",
    "| **4. Descriptive associations** | Mean CA by transit group; point-biserial correlations |\n",
    "| **5. Model** | Random Forest specification & baselines |\n",
    "| **6. CV performance** | ROC-AUC, PR-AUC, F1, confusion matrix |\n",
    "| **7. Interpretation aids** | Importances; CA-plane probability surface |\n",
    "| **8. Written results** | Plain-language findings for slides / manuscript |\n",
    "| **9. Artifacts & limitations** | Export package + caveats |\n",
    "\n",
    "Supporting code: [`src/ca_personas/ca_transit_rf.py`](../src/ca_personas/ca_transit_rf.py)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "30a8b461",
   "metadata": {},
   "source": [
    "## 2. Setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "4e2e23e3",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-25T15:42:33.860074Z",
     "iopub.status.busy": "2026-07-25T15:42:33.859944Z",
     "iopub.status.idle": "2026-07-25T15:42:34.861944Z",
     "shell.execute_reply": "2026-07-25T15:42:34.861027Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data source: /tmp/sibling_data File A/B/C\n",
      "Prolific: ['/tmp/sibling_data/PRCAProlificExport_FileA.csv', '/tmp/sibling_data/PRCAProlificExport_FileB.csv']\n",
      "Qualtrics: /tmp/sibling_data/PRCAQualtricsExport_FileC.csv\n",
      "Features: ['gt_group_ca', 'gt_interpersonal_ca']\n",
      "Regular labels: ['4-8 days a month', '8 or more days a month']\n",
      "Q26 stem: In the last three months on how many days did you use public transportation (bus, train, tram, etc.)?\n"
     ]
    }
   ],
   "source": [
    "from __future__ import annotations\n",
    "\n",
    "import json\n",
    "import sys\n",
    "import warnings\n",
    "from pathlib import Path\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
    "\n",
    "ROOT = Path.cwd()\n",
    "if ROOT.name == \"notebooks\":\n",
    "    ROOT = ROOT.parent\n",
    "if str(ROOT / \"src\") not in sys.path:\n",
    "    sys.path.insert(0, str(ROOT / \"src\"))\n",
    "\n",
    "from ca_personas.ca_transit_rf import (\n",
    "    CA_FEATURES,\n",
    "    run_ca_transit_rf_analysis,\n",
    "    save_ca_transit_rf_artifacts,\n",
    ")\n",
    "from ca_personas.load import load_full_cohort\n",
    "from ca_personas.paths import (\n",
    "    cohort_source_label,\n",
    "    default_prolific_paths,\n",
    "    default_qualtrics_path,\n",
    "    sibling_data_available,\n",
    ")\n",
    "from ca_personas.transit_ca import PRIMARY_REGULAR_LABELS, Q26_STEM\n",
    "\n",
    "plt.rcParams.update({\n",
    "    \"figure.dpi\": 120,\n",
    "    \"savefig.dpi\": 180,\n",
    "    \"font.size\": 11,\n",
    "    \"axes.titlesize\": 13,\n",
    "    \"axes.labelsize\": 11,\n",
    "    \"axes.spines.top\": False,\n",
    "    \"axes.spines.right\": False,\n",
    "    \"axes.grid\": True,\n",
    "    \"grid.alpha\": 0.25,\n",
    "    \"legend.frameon\": False,\n",
    "})\n",
    "COLOR_REGULAR = \"#C5050C\"\n",
    "COLOR_NOT = \"#3D3D3D\"\n",
    "COLOR_ACCENT = \"#047A9C\"\n",
    "COLOR_GROUP = \"#8B1E3F\"\n",
    "COLOR_INTERP = \"#1F4E79\"\n",
    "\n",
    "OUT = ROOT / \"outputs\" / \"ca_transit_rf\"\n",
    "OUT.mkdir(parents=True, exist_ok=True)\n",
    "pd.set_option(\"display.float_format\", lambda x: f\"{x:0.4f}\")\n",
    "\n",
    "assert sibling_data_available(), (\n",
    "    \"Place File A/B/C under ../sibling_data/ (or /tmp/sibling_data) before running.\"\n",
    ")\n",
    "data_source = cohort_source_label()\n",
    "assert \"excerpt\" not in data_source.lower()\n",
    "print(\"Data source:\", data_source)\n",
    "print(\"Prolific:\", [str(p) for p in default_prolific_paths()])\n",
    "print(\"Qualtrics:\", default_qualtrics_path())\n",
    "print(\"Features:\", CA_FEATURES)\n",
    "print(\"Regular labels:\", sorted(PRIMARY_REGULAR_LABELS))\n",
    "print(\"Q26 stem:\", Q26_STEM)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7ad6b4f6",
   "metadata": {},
   "source": [
    "## 3. Data & sample\n",
    "\n",
    "**Inclusion:** stacked Prolific File A + File B inner-joined to Qualtrics File C on `Q0` / `Participant id`, complete PRCA group + interpersonal items, non-missing `Q26`.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "61371966",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-25T15:42:34.863836Z",
     "iopub.status.busy": "2026-07-25T15:42:34.863674Z",
     "iopub.status.idle": "2026-07-25T15:42:41.649163Z",
     "shell.execute_reply": "2026-07-25T15:42:41.648548Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "  \"n_analytic\": 241,\n",
      "  \"modeling_n\": 241,\n",
      "  \"n_regular\": 101,\n",
      "  \"n_not_regular\": 140,\n",
      "  \"prevalence\": 0.4190871369294606\n",
      "}\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>participant_id</th>\n",
       "      <th>gt_group_ca</th>\n",
       "      <th>gt_interpersonal_ca</th>\n",
       "      <th>regular_transit</th>\n",
       "      <th>transit_group</th>\n",
       "      <th>Q26</th>\n",
       "      <th>gt_group_band</th>\n",
       "      <th>gt_interpersonal_band</th>\n",
       "      <th>Age</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Country of residence</th>\n",
       "      <th>Employment status</th>\n",
       "      <th>Student status</th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ebab12e9878344fdc93a8c1cad27ff2f709e12b90f0496...</td>\n",
       "      <td>14</td>\n",
       "      <td>16</td>\n",
       "      <td>False</td>\n",
       "      <td>not_regular</td>\n",
       "      <td>2-4 days a month</td>\n",
       "      <td>moderate</td>\n",
       "      <td>moderate</td>\n",
       "      <td>36.0000</td>\n",
       "      <td>Male</td>\n",
       "      <td>United States</td>\n",
       "      <td>Part-Time</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>b6954799ca47bc836ac02ab86e4710c3b0e096d7ace449...</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>False</td>\n",
       "      <td>not_regular</td>\n",
       "      <td>Never</td>\n",
       "      <td>moderate</td>\n",
       "      <td>moderate</td>\n",
       "      <td>41.0000</td>\n",
       "      <td>Male</td>\n",
       "      <td>United States</td>\n",
       "      <td>Other</td>\n",
       "      <td>No</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6ac07c3845b0ce5cac4ab3569ea70236b7cfa8fd51576e...</td>\n",
       "      <td>11</td>\n",
       "      <td>12</td>\n",
       "      <td>False</td>\n",
       "      <td>not_regular</td>\n",
       "      <td>Never</td>\n",
       "      <td>low</td>\n",
       "      <td>low</td>\n",
       "      <td>39.0000</td>\n",
       "      <td>Male</td>\n",
       "      <td>United States</td>\n",
       "      <td>Full-Time</td>\n",
       "      <td>No</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>c67b3266ecd4af12979c1f67d1efffd0d3e9bfbc567d21...</td>\n",
       "      <td>10</td>\n",
       "      <td>6</td>\n",
       "      <td>False</td>\n",
       "      <td>not_regular</td>\n",
       "      <td>Never</td>\n",
       "      <td>low</td>\n",
       "      <td>low</td>\n",
       "      <td>61.0000</td>\n",
       "      <td>Male</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>Other</td>\n",
       "      <td>No</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1cefb8d34b92489e8ffd9cf34c469964f0527b1cae33e0...</td>\n",
       "      <td>8</td>\n",
       "      <td>12</td>\n",
       "      <td>False</td>\n",
       "      <td>not_regular</td>\n",
       "      <td>Never</td>\n",
       "      <td>low</td>\n",
       "      <td>low</td>\n",
       "      <td>45.0000</td>\n",
       "      <td>Male</td>\n",
       "      <td>United States</td>\n",
       "      <td>Full-Time</td>\n",
       "      <td>No</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      participant_id  gt_group_ca  \\\n",
       "0  ebab12e9878344fdc93a8c1cad27ff2f709e12b90f0496...           14   \n",
       "1  b6954799ca47bc836ac02ab86e4710c3b0e096d7ace449...           17   \n",
       "2  6ac07c3845b0ce5cac4ab3569ea70236b7cfa8fd51576e...           11   \n",
       "3  c67b3266ecd4af12979c1f67d1efffd0d3e9bfbc567d21...           10   \n",
       "4  1cefb8d34b92489e8ffd9cf34c469964f0527b1cae33e0...            8   \n",
       "\n",
       "   gt_interpersonal_ca  regular_transit transit_group               Q26  \\\n",
       "0                   16            False   not_regular  2-4 days a month   \n",
       "1                   17            False   not_regular             Never   \n",
       "2                   12            False   not_regular             Never   \n",
       "3                    6            False   not_regular             Never   \n",
       "4                   12            False   not_regular             Never   \n",
       "\n",
       "  gt_group_band gt_interpersonal_band     Age   Sex Country of residence  \\\n",
       "0      moderate              moderate 36.0000  Male        United States   \n",
       "1      moderate              moderate 41.0000  Male        United States   \n",
       "2           low                   low 39.0000  Male        United States   \n",
       "3           low                   low 61.0000  Male       United Kingdom   \n",
       "4           low                   low 45.0000  Male        United States   \n",
       "\n",
       "  Employment status Student status  y  \n",
       "0         Part-Time            Yes  0  \n",
       "1             Other             No  0  \n",
       "2         Full-Time             No  0  \n",
       "3             Other             No  0  \n",
       "4         Full-Time             No  0  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "participants, cleaning_report = load_full_cohort(join_how=\"inner\")\n",
    "analysis = run_ca_transit_rf_analysis(\n",
    "    participants,\n",
    "    n_splits=5,\n",
    "    n_perm_repeats=30,\n",
    "    random_state=42,\n",
    "    grid_size=70,\n",
    ")\n",
    "frame = analysis[\"frame\"]\n",
    "summary = analysis[\"summary\"]\n",
    "\n",
    "print(json.dumps({\n",
    "    \"n_analytic\": cleaning_report[\"n_analytic\"],\n",
    "    \"modeling_n\": summary[\"sample\"][\"n\"],\n",
    "    \"n_regular\": summary[\"sample\"][\"n_regular\"],\n",
    "    \"n_not_regular\": summary[\"sample\"][\"n_not_regular\"],\n",
    "    \"prevalence\": summary[\"sample\"][\"prevalence\"],\n",
    "}, indent=2))\n",
    "frame.head()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5b36d798",
   "metadata": {},
   "source": [
    "## 4. Descriptive associations\n",
    "\n",
    "Before modeling, we ask whether regular riders already differ in mean CA (the same contrast tested inferentially in `secondary_rq_transit_ca.ipynb`) and how strongly each subscale correlates with the binary outcome.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "25e87b2b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-25T15:42:41.651069Z",
     "iopub.status.busy": "2026-07-25T15:42:41.650926Z",
     "iopub.status.idle": "2026-07-25T15:42:41.656201Z",
     "shell.execute_reply": "2026-07-25T15:42:41.655693Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>group</th>\n",
       "      <th>n</th>\n",
       "      <th>mean_gt_group_ca</th>\n",
       "      <th>std_gt_group_ca</th>\n",
       "      <th>median_gt_group_ca</th>\n",
       "      <th>mean_gt_interpersonal_ca</th>\n",
       "      <th>std_gt_interpersonal_ca</th>\n",
       "      <th>median_gt_interpersonal_ca</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>overall</td>\n",
       "      <td>241</td>\n",
       "      <td>14.6224</td>\n",
       "      <td>6.0328</td>\n",
       "      <td>13.0000</td>\n",
       "      <td>14.3112</td>\n",
       "      <td>5.8180</td>\n",
       "      <td>13.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>regular</td>\n",
       "      <td>101</td>\n",
       "      <td>13.0396</td>\n",
       "      <td>5.0772</td>\n",
       "      <td>12.0000</td>\n",
       "      <td>13.3069</td>\n",
       "      <td>5.3661</td>\n",
       "      <td>13.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>not_regular</td>\n",
       "      <td>140</td>\n",
       "      <td>15.7643</td>\n",
       "      <td>6.4156</td>\n",
       "      <td>14.0000</td>\n",
       "      <td>15.0357</td>\n",
       "      <td>6.0387</td>\n",
       "      <td>14.0000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         group    n  mean_gt_group_ca  std_gt_group_ca  median_gt_group_ca  \\\n",
       "0      overall  241           14.6224           6.0328             13.0000   \n",
       "1      regular  101           13.0396           5.0772             12.0000   \n",
       "2  not_regular  140           15.7643           6.4156             14.0000   \n",
       "\n",
       "   mean_gt_interpersonal_ca  std_gt_interpersonal_ca  \\\n",
       "0                   14.3112                   5.8180   \n",
       "1                   13.3069                   5.3661   \n",
       "2                   15.0357                   6.0387   \n",
       "\n",
       "   median_gt_interpersonal_ca  \n",
       "0                     13.0000  \n",
       "1                     13.0000  \n",
       "2                     14.0000  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "analysis[\"descriptives\"]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "d38c2095",
   "metadata": {
    "execution": {
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     "iopub.status.busy": "2026-07-25T15:42:41.657251Z",
     "iopub.status.idle": "2026-07-25T15:42:41.661442Z",
     "shell.execute_reply": "2026-07-25T15:42:41.660979Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>feature</th>\n",
       "      <th>point_biserial_r</th>\n",
       "      <th>p_value</th>\n",
       "      <th>mean_regular</th>\n",
       "      <th>mean_not_regular</th>\n",
       "      <th>diff_regular_minus_not</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>gt_group_ca</td>\n",
       "      <td>-0.2233</td>\n",
       "      <td>0.0005</td>\n",
       "      <td>13.0396</td>\n",
       "      <td>15.7643</td>\n",
       "      <td>-2.7247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>gt_interpersonal_ca</td>\n",
       "      <td>-0.1469</td>\n",
       "      <td>0.0225</td>\n",
       "      <td>13.3069</td>\n",
       "      <td>15.0357</td>\n",
       "      <td>-1.7288</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               feature  point_biserial_r  p_value  mean_regular  \\\n",
       "0          gt_group_ca           -0.2233   0.0005       13.0396   \n",
       "1  gt_interpersonal_ca           -0.1469   0.0225       13.3069   \n",
       "\n",
       "   mean_not_regular  diff_regular_minus_not  \n",
       "0           15.7643                 -2.7247  \n",
       "1           15.0357                 -1.7288  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "assoc = analysis[\"associations\"]\n",
    "assoc\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "99a6085c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-25T15:42:41.663050Z",
     "iopub.status.busy": "2026-07-25T15:42:41.662904Z",
     "iopub.status.idle": "2026-07-25T15:42:42.012759Z",
     "shell.execute_reply": "2026-07-25T15:42:42.012282Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1260x516 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(1, 2, figsize=(10.5, 4.3), sharey=True)\n",
    "for ax, col, title, color in zip(\n",
    "    axes,\n",
    "    [\"gt_group_ca\", \"gt_interpersonal_ca\"],\n",
    "    [\"Group CA\", \"Interpersonal CA\"],\n",
    "    [COLOR_GROUP, COLOR_INTERP],\n",
    "):\n",
    "    for group, gcolor, label in [\n",
    "        (\"regular\", COLOR_REGULAR, \"Regular\"),\n",
    "        (\"not_regular\", COLOR_NOT, \"Not regular\"),\n",
    "    ]:\n",
    "        vals = frame.loc[frame[\"transit_group\"] == group, col]\n",
    "        ax.hist(vals, bins=range(6, 32), alpha=0.55, color=gcolor if group==\"regular\" else COLOR_NOT,\n",
    "                label=f\"{label} (n={len(vals)})\", edgecolor=\"white\")\n",
    "        ax.axvline(vals.mean(), color=gcolor if group==\"regular\" else COLOR_NOT, ls=\"--\", lw=1.4)\n",
    "    ax.set_title(title)\n",
    "    ax.set_xlabel(\"PRCA score (6–30)\")\n",
    "axes[0].set_ylabel(\"Respondents\")\n",
    "axes[0].legend()\n",
    "fig.suptitle(\"CA score distributions by regular public-transit use\", y=1.02)\n",
    "fig.tight_layout()\n",
    "fig.savefig(OUT / \"fig_ca_dist_by_transit.png\", bbox_inches=\"tight\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "7a9cd42f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-25T15:42:42.014710Z",
     "iopub.status.busy": "2026-07-25T15:42:42.014567Z",
     "iopub.status.idle": "2026-07-25T15:42:42.198414Z",
     "shell.execute_reply": "2026-07-25T15:42:42.197180Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 936x696 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(7.8, 5.8))\n",
    "for group, color, marker, label in [\n",
    "    (\"not_regular\", COLOR_NOT, \"o\", \"Not regular\"),\n",
    "    (\"regular\", COLOR_REGULAR, \"^\", \"Regular (weekly+)\"),\n",
    "]:\n",
    "    sub = frame.loc[frame[\"transit_group\"] == group]\n",
    "    ax.scatter(\n",
    "        sub[\"gt_group_ca\"], sub[\"gt_interpersonal_ca\"],\n",
    "        s=34, alpha=0.75, c=color, marker=marker,\n",
    "        edgecolors=\"white\", linewidths=0.35,\n",
    "        label=f\"{label} (n={len(sub)})\",\n",
    "    )\n",
    "ax.plot([6, 30], [6, 30], ls=\":\", color=\"#888888\", lw=1)\n",
    "ax.set_xlim(5.5, 30.5); ax.set_ylim(5.5, 30.5)\n",
    "ax.set_xlabel(\"Group CA\")\n",
    "ax.set_ylabel(\"Interpersonal CA\")\n",
    "ax.set_title(\"Joint CA space by regular transit status\")\n",
    "ax.legend(loc=\"upper left\")\n",
    "fig.tight_layout()\n",
    "fig.savefig(OUT / \"fig_ca_joint_by_transit.png\", bbox_inches=\"tight\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "06c44573",
   "metadata": {},
   "source": [
    "## 5. Model specification\n",
    "\n",
    "- **Primary RF:** both `gt_group_ca` and `gt_interpersonal_ca` (z-scored), 500 trees, `class_weight=\"balanced\"`, `min_samples_leaf=3`\n",
    "- **Ablations:** group-only RF; interpersonal-only RF  \n",
    "- **Null:** prevalence / majority baselines (ROC-AUC = 0.5 for constant scores)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "5957d93f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-25T15:42:42.200147Z",
     "iopub.status.busy": "2026-07-25T15:42:42.200039Z",
     "iopub.status.idle": "2026-07-25T15:42:42.206105Z",
     "shell.execute_reply": "2026-07-25T15:42:42.205200Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Primary features: ['gt_group_ca', 'gt_interpersonal_ca']\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>model</th>\n",
       "      <th>n</th>\n",
       "      <th>roc_auc</th>\n",
       "      <th>average_precision</th>\n",
       "      <th>balanced_accuracy</th>\n",
       "      <th>accuracy</th>\n",
       "      <th>precision</th>\n",
       "      <th>recall</th>\n",
       "      <th>f1</th>\n",
       "      <th>brier</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>random_forest_group_and_interpersonal</td>\n",
       "      <td>241</td>\n",
       "      <td>0.5897</td>\n",
       "      <td>0.4828</td>\n",
       "      <td>0.5734</td>\n",
       "      <td>0.5685</td>\n",
       "      <td>0.4880</td>\n",
       "      <td>0.6040</td>\n",
       "      <td>0.5398</td>\n",
       "      <td>0.2520</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>random_forest_group_only</td>\n",
       "      <td>241</td>\n",
       "      <td>0.5548</td>\n",
       "      <td>0.4500</td>\n",
       "      <td>0.5575</td>\n",
       "      <td>0.5436</td>\n",
       "      <td>0.4676</td>\n",
       "      <td>0.6436</td>\n",
       "      <td>0.5417</td>\n",
       "      <td>0.2667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>random_forest_interpersonal_only</td>\n",
       "      <td>241</td>\n",
       "      <td>0.5065</td>\n",
       "      <td>0.4249</td>\n",
       "      <td>0.5047</td>\n",
       "      <td>0.5062</td>\n",
       "      <td>0.4237</td>\n",
       "      <td>0.4950</td>\n",
       "      <td>0.4566</td>\n",
       "      <td>0.2697</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>prevalence_prob</td>\n",
       "      <td>241</td>\n",
       "      <td>0.5000</td>\n",
       "      <td>0.4191</td>\n",
       "      <td>0.5000</td>\n",
       "      <td>0.5809</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.2435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>majority_class</td>\n",
       "      <td>241</td>\n",
       "      <td>0.5000</td>\n",
       "      <td>0.4191</td>\n",
       "      <td>0.5000</td>\n",
       "      <td>0.5809</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.4191</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   model    n  roc_auc  average_precision  \\\n",
       "0  random_forest_group_and_interpersonal  241   0.5897             0.4828   \n",
       "1               random_forest_group_only  241   0.5548             0.4500   \n",
       "2       random_forest_interpersonal_only  241   0.5065             0.4249   \n",
       "3                        prevalence_prob  241   0.5000             0.4191   \n",
       "4                         majority_class  241   0.5000             0.4191   \n",
       "\n",
       "   balanced_accuracy  accuracy  precision  recall     f1  brier  \n",
       "0             0.5734    0.5685     0.4880  0.6040 0.5398 0.2520  \n",
       "1             0.5575    0.5436     0.4676  0.6436 0.5417 0.2667  \n",
       "2             0.5047    0.5062     0.4237  0.4950 0.4566 0.2697  \n",
       "3             0.5000    0.5809     0.0000  0.0000 0.0000 0.2435  \n",
       "4             0.5000    0.5809     0.0000  0.0000 0.0000 0.4191  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(\"Primary features:\", CA_FEATURES)\n",
    "analysis[\"metrics_table\"][[\n",
    "    \"model\", \"n\", \"roc_auc\", \"average_precision\",\n",
    "    \"balanced_accuracy\", \"accuracy\", \"precision\", \"recall\", \"f1\", \"brier\"\n",
    "]]\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8a96d8f2",
   "metadata": {},
   "source": [
    "## 6. Cross-validated predictive performance\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "838dbd8c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-25T15:42:42.207619Z",
     "iopub.status.busy": "2026-07-25T15:42:42.207494Z",
     "iopub.status.idle": "2026-07-25T15:42:42.502094Z",
     "shell.execute_reply": "2026-07-25T15:42:42.501395Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1320x528 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rf_m = summary[\"cv_metrics\"]\n",
    "cm = np.array([[rf_m[\"tn\"], rf_m[\"fp\"]], [rf_m[\"fn\"], rf_m[\"tp\"]],], dtype=float)\n",
    "\n",
    "fig, axes = plt.subplots(1, 2, figsize=(11, 4.4))\n",
    "ax = axes[0]\n",
    "ax.imshow(cm, cmap=\"Reds\")\n",
    "ax.set_xticks([0, 1], [\"Pred: not regular\", \"Pred: regular\"])\n",
    "ax.set_yticks([0, 1], [\"True: not regular\", \"True: regular\"])\n",
    "for (i, j), val in np.ndenumerate(cm):\n",
    "    ax.text(j, i, f\"{int(val)}\", ha=\"center\", va=\"center\", fontsize=13)\n",
    "ax.set_title(\"OOF confusion matrix (threshold = 0.5)\")\n",
    "\n",
    "ax = axes[1]\n",
    "for key, color, label in [\n",
    "    (\"roc\", COLOR_REGULAR, f\"Both CA subscales (AUC={rf_m['roc_auc']:.3f})\"),\n",
    "    (\"roc_group_only\", COLOR_GROUP, f\"Group only (AUC={summary['single_feature_auc']['group_only']:.3f})\"),\n",
    "    (\"roc_interpersonal_only\", COLOR_INTERP, f\"Interpersonal only (AUC={summary['single_feature_auc']['interpersonal_only']:.3f})\"),\n",
    "]:\n",
    "    roc = analysis[key]\n",
    "    ax.plot(roc[\"fpr\"], roc[\"tpr\"], color=color, lw=2, label=label)\n",
    "ax.plot([0, 1], [0, 1], ls=\"--\", color=\"#888888\", label=\"Chance (AUC=0.50)\")\n",
    "ax.set_xlabel(\"False positive rate\"); ax.set_ylabel(\"True positive rate\")\n",
    "ax.set_title(\"ROC curves — CA predictors of regular transit\")\n",
    "ax.legend(loc=\"lower right\", fontsize=9)\n",
    "fig.tight_layout()\n",
    "fig.savefig(OUT / \"fig_ca_rf_confusion_roc.png\", bbox_inches=\"tight\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "7517228d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-25T15:42:42.503959Z",
     "iopub.status.busy": "2026-07-25T15:42:42.503848Z",
     "iopub.status.idle": "2026-07-25T15:42:42.659579Z",
     "shell.execute_reply": "2026-07-25T15:42:42.658849Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1008x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_order = [\n",
    "    \"random_forest_group_and_interpersonal\",\n",
    "    \"random_forest_group_only\",\n",
    "    \"random_forest_interpersonal_only\",\n",
    "    \"prevalence_prob\",\n",
    "]\n",
    "m = analysis[\"metrics_table\"].set_index(\"model\").loc[plot_order, \"roc_auc\"]\n",
    "fig, ax = plt.subplots(figsize=(8.4, 4.2))\n",
    "colors = [COLOR_REGULAR, COLOR_GROUP, COLOR_INTERP, \"#777777\"]\n",
    "bars = ax.barh(range(len(m)), m.values, color=colors, edgecolor=\"white\")\n",
    "ax.set_yticks(range(len(m)), m.index)\n",
    "ax.axvline(0.5, color=\"#444\", ls=\"--\", lw=1)\n",
    "ax.set_xlim(0.45, max(0.75, float(m.max()) + 0.05))\n",
    "ax.set_xlabel(\"ROC-AUC (stratified CV)\")\n",
    "ax.set_title(\"Predictive power of CA scores vs baselines\")\n",
    "for bar, v in zip(bars, m.values):\n",
    "    ax.text(v + 0.005, bar.get_y() + bar.get_height()/2, f\"{v:.3f}\", va=\"center\")\n",
    "fig.tight_layout()\n",
    "fig.savefig(OUT / \"fig_ca_rf_auc_comparison.png\", bbox_inches=\"tight\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3caf63ed",
   "metadata": {},
   "source": [
    "## 7. Feature importance & decision surface\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "1b9f33d6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-25T15:42:42.661129Z",
     "iopub.status.busy": "2026-07-25T15:42:42.661021Z",
     "iopub.status.idle": "2026-07-25T15:42:42.666943Z",
     "shell.execute_reply": "2026-07-25T15:42:42.665793Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>feature</th>\n",
       "      <th>importance_gini</th>\n",
       "      <th>importance_perm_mean</th>\n",
       "      <th>importance_perm_std</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>gt_group_ca</td>\n",
       "      <td>0.5543</td>\n",
       "      <td>0.3087</td>\n",
       "      <td>0.0292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>gt_interpersonal_ca</td>\n",
       "      <td>0.4457</td>\n",
       "      <td>0.2233</td>\n",
       "      <td>0.0316</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               feature  importance_gini  importance_perm_mean  \\\n",
       "0          gt_group_ca           0.5543                0.3087   \n",
       "1  gt_interpersonal_ca           0.4457                0.2233   \n",
       "\n",
       "   importance_perm_std  \n",
       "0               0.0292  \n",
       "1               0.0316  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "imp = analysis[\"gini_importance\"].merge(analysis[\"permutation_importance\"], on=\"feature\")\n",
    "imp\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "a79c1307",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-25T15:42:42.668218Z",
     "iopub.status.busy": "2026-07-25T15:42:42.668077Z",
     "iopub.status.idle": "2026-07-25T15:42:42.853358Z",
     "shell.execute_reply": "2026-07-25T15:42:42.852871Z"
    }
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1152x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(1, 2, figsize=(9.6, 3.6), sharey=True)\n",
    "labels = imp[\"feature\"].str.replace(\"gt_\", \"\").str.replace(\"_ca\", \" CA\")\n",
    "axes[0].barh(labels, imp[\"importance_gini\"], color=COLOR_REGULAR)\n",
    "axes[0].set_title(\"Gini importance\"); axes[0].set_xlabel(\"Mean decrease in impurity\")\n",
    "axes[1].barh(labels, imp[\"importance_perm_mean\"], xerr=imp[\"importance_perm_std\"],\n",
    "             color=COLOR_ACCENT, ecolor=\"#333\", capsize=3)\n",
    "axes[1].set_title(\"Permutation importance (ROC-AUC)\")\n",
    "axes[1].set_xlabel(\"Mean AUC drop when shuffled\")\n",
    "fig.suptitle(\"Which CA subscale contributes more?\", y=1.03)\n",
    "fig.tight_layout()\n",
    "fig.savefig(OUT / \"fig_ca_rf_importance.png\", bbox_inches=\"tight\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "74d52347",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-25T15:42:42.855090Z",
     "iopub.status.busy": "2026-07-25T15:42:42.854960Z",
     "iopub.status.idle": "2026-07-25T15:42:43.194051Z",
     "shell.execute_reply": "2026-07-25T15:42:43.193446Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1032x744 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grid = analysis[\"grid\"]\n",
    "g_vals = np.sort(grid[\"gt_group_ca\"].unique())\n",
    "i_vals = np.sort(grid[\"gt_interpersonal_ca\"].unique())\n",
    "Z = grid.pivot(index=\"gt_interpersonal_ca\", columns=\"gt_group_ca\", values=\"p_regular\").values\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(8.6, 6.2))\n",
    "im = ax.imshow(\n",
    "    Z, origin=\"lower\",\n",
    "    extent=[g_vals.min(), g_vals.max(), i_vals.min(), i_vals.max()],\n",
    "    aspect=\"auto\", cmap=\"RdYlBu_r\", vmin=0, vmax=1, alpha=0.9,\n",
    ")\n",
    "cbar = fig.colorbar(im, ax=ax, fraction=0.035, pad=0.02)\n",
    "cbar.set_label(\"Predicted P(regular transit)\")\n",
    "for group, color, marker in [(\"not_regular\", COLOR_NOT, \"o\"), (\"regular\", COLOR_REGULAR, \"^\")]:\n",
    "    sub = frame.loc[frame[\"transit_group\"] == group]\n",
    "    ax.scatter(sub[\"gt_group_ca\"], sub[\"gt_interpersonal_ca\"], s=26, c=color, marker=marker,\n",
    "               edgecolors=\"white\", linewidths=0.35, alpha=0.85, label=group.replace(\"_\", \" \"))\n",
    "ax.set_xlabel(\"Group CA\"); ax.set_ylabel(\"Interpersonal CA\")\n",
    "ax.set_title(\"Random Forest probability surface over CA space\")\n",
    "ax.legend(loc=\"upper left\")\n",
    "fig.tight_layout()\n",
    "fig.savefig(OUT / \"fig_ca_rf_decision_surface.png\", bbox_inches=\"tight\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ad856768",
   "metadata": {},
   "source": [
    "## 8. Results write-up (for presentation)\n",
    "\n",
    "The cell below prints a slide-ready narrative from the live results card. A fuller manuscript-style interpretation lives in [`docs/secondary_rq_ca_predicts_transit.md`](../docs/secondary_rq_ca_predicts_transit.md).\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "74a13ea6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-25T15:42:43.196077Z",
     "iopub.status.busy": "2026-07-25T15:42:43.195927Z",
     "iopub.status.idle": "2026-07-25T15:42:43.200750Z",
     "shell.execute_reply": "2026-07-25T15:42:43.200279Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "========================================================================\n",
      "SECONDARY RQ — CA SCORES → REGULAR PUBLIC TRANSIT\n",
      "========================================================================\n",
      "Sample: N=241 matched respondents; 101 regular (41.9%).\n",
      "\n",
      "Association (regular vs not-regular):\n",
      "  • Group CA:           M_reg=13.04 vs M_not=15.76 (Δ=-2.72; r=-0.223; p=0.0005)\n",
      "  • Interpersonal CA:   M_reg=13.31 vs M_not=15.04 (Δ=-1.73; r=-0.147; p=0.0225)\n",
      "\n",
      "Random Forest (stratified 5-fold CV):\n",
      "  • Both subscales ROC-AUC = 0.590\n",
      "  • Group-only AUC        = 0.555\n",
      "  • Interpersonal-only    = 0.506\n",
      "  • Chance                = 0.500\n",
      "  • Balanced accuracy     = 0.573; F1 = 0.540\n",
      "\n",
      "Interpretation:\n",
      "  CA→transit Random Forest CV ROC-AUC = 0.590 (modest signal above chance). Group-only AUC = 0.555; interpersonal-only AUC = 0.506. gt_group_ca is lower among regular riders (Δ=-2.72, r=-0.223); gt_interpersonal_ca is lower among regular riders (Δ=-1.73, r=-0.147).\n",
      "\n",
      "Bottom line: Higher CA — especially group CA — is associated with lower odds\n",
      "of weekly+ public transit. The RF recovers modest but above-chance predictive\n",
      "signal; group CA contributes more than interpersonal CA.\n",
      "========================================================================\n"
     ]
    }
   ],
   "source": [
    "card = summary\n",
    "assoc = {r[\"feature\"]: r for r in card[\"associations\"]}\n",
    "g, i = assoc[\"gt_group_ca\"], assoc[\"gt_interpersonal_ca\"]\n",
    "m = card[\"cv_metrics\"]\n",
    "print(\"=\" * 72)\n",
    "print(\"SECONDARY RQ — CA SCORES → REGULAR PUBLIC TRANSIT\")\n",
    "print(\"=\" * 72)\n",
    "print(f\"Sample: N={card['sample']['n']} matched respondents; \"\n",
    "      f\"{card['sample']['n_regular']} regular ({card['sample']['prevalence']:.1%}).\")\n",
    "print()\n",
    "print(\"Association (regular vs not-regular):\")\n",
    "print(f\"  • Group CA:           M_reg={g['mean_regular']:.2f} vs M_not={g['mean_not_regular']:.2f} \"\n",
    "      f\"(Δ={g['diff_regular_minus_not']:+.2f}; r={g['point_biserial_r']:+.3f}; p={g['p_value']:.4f})\")\n",
    "print(f\"  • Interpersonal CA:   M_reg={i['mean_regular']:.2f} vs M_not={i['mean_not_regular']:.2f} \"\n",
    "      f\"(Δ={i['diff_regular_minus_not']:+.2f}; r={i['point_biserial_r']:+.3f}; p={i['p_value']:.4f})\")\n",
    "print()\n",
    "print(\"Random Forest (stratified 5-fold CV):\")\n",
    "print(f\"  • Both subscales ROC-AUC = {m['roc_auc']:.3f}\")\n",
    "print(f\"  • Group-only AUC        = {card['single_feature_auc']['group_only']:.3f}\")\n",
    "print(f\"  • Interpersonal-only    = {card['single_feature_auc']['interpersonal_only']:.3f}\")\n",
    "print(f\"  • Chance                = 0.500\")\n",
    "print(f\"  • Balanced accuracy     = {m['balanced_accuracy']:.3f}; F1 = {m['f1']:.3f}\")\n",
    "print()\n",
    "print(\"Interpretation:\")\n",
    "print(\" \", card[\"verdict\"][\"interpretation\"])\n",
    "print()\n",
    "print(\"Bottom line: Higher CA — especially group CA — is associated with lower odds\")\n",
    "print(\"of weekly+ public transit. The RF recovers modest but above-chance predictive\")\n",
    "print(\"signal; group CA contributes more than interpersonal CA.\")\n",
    "print(\"=\" * 72)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "06bed291",
   "metadata": {},
   "source": [
    "## 9. Export artifacts & limitations\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "c670f633",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-25T15:42:43.201978Z",
     "iopub.status.busy": "2026-07-25T15:42:43.201836Z",
     "iopub.status.idle": "2026-07-25T15:42:43.231164Z",
     "shell.execute_reply": "2026-07-25T15:42:43.230349Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "  \"roc_auc\": 0.5896746817538897,\n",
      "  \"beats_chance_auc_0_5\": true,\n",
      "  \"stronger_subscale\": \"gt_group_ca\",\n",
      "  \"delta_auc_both_minus_best_single\": 0.03490099009900993,\n",
      "  \"interpretation\": \"CA\\u2192transit Random Forest CV ROC-AUC = 0.590 (modest signal above chance). Group-only AUC = 0.555; interpersonal-only AUC = 0.506. gt_group_ca is lower among regular riders (\\u0394=-2.72, r=-0.223); gt_interpersonal_ca is lower among regular riders (\\u0394=-1.73, r=-0.147).\"\n",
      "}\n",
      "\n",
      "Artifacts:\n",
      "  frame                  /workspace/outputs/ca_transit_rf/ca_transit_modeling_frame.csv\n",
      "  metrics_table          /workspace/outputs/ca_transit_rf/ca_transit_rf_metrics.csv\n",
      "  oof                    /workspace/outputs/ca_transit_rf/ca_transit_rf_oof_predictions.csv\n",
      "  roc                    /workspace/outputs/ca_transit_rf/ca_transit_rf_roc_curve.csv\n",
      "  gini_importance        /workspace/outputs/ca_transit_rf/ca_transit_rf_gini_importance.csv\n",
      "  permutation_importance /workspace/outputs/ca_transit_rf/ca_transit_rf_permutation_importance.csv\n",
      "  null_baselines         /workspace/outputs/ca_transit_rf/ca_transit_rf_null_baselines.csv\n",
      "  associations           /workspace/outputs/ca_transit_rf/ca_transit_associations.csv\n",
      "  descriptives           /workspace/outputs/ca_transit_rf/ca_transit_descriptives.csv\n",
      "  grid                   /workspace/outputs/ca_transit_rf/ca_transit_rf_prediction_grid.csv\n",
      "  summary                /workspace/outputs/ca_transit_rf/ca_transit_rf_summary.json\n",
      "  results_card           /workspace/outputs/ca_transit_rf/ca_transit_rf_results_card.json\n",
      "Figures:\n",
      "  fig_ca_dist_by_transit.png\n",
      "  fig_ca_joint_by_transit.png\n",
      "  fig_ca_rf_auc_comparison.png\n",
      "  fig_ca_rf_confusion_roc.png\n",
      "  fig_ca_rf_decision_surface.png\n",
      "  fig_ca_rf_importance.png\n"
     ]
    }
   ],
   "source": [
    "paths = save_ca_transit_rf_artifacts(analysis, OUT)\n",
    "processed = ROOT / \"data\" / \"processed\"\n",
    "processed.mkdir(parents=True, exist_ok=True)\n",
    "participants.to_csv(processed / \"participants_scored.csv\", index=False)\n",
    "(processed / \"cleaning_report.json\").write_text(json.dumps(cleaning_report, indent=2))\n",
    "(OUT / \"ca_transit_rf_results_card.json\").write_text(json.dumps({\n",
    "    \"secondary_rq\": summary[\"secondary_rq\"],\n",
    "    \"sample\": summary[\"sample\"],\n",
    "    \"associations\": summary[\"associations\"],\n",
    "    \"cv_metrics\": summary[\"cv_metrics\"],\n",
    "    \"single_feature_auc\": summary[\"single_feature_auc\"],\n",
    "    \"verdict\": summary[\"verdict\"],\n",
    "    \"caveats\": summary[\"caveats\"],\n",
    "}, indent=2))\n",
    "\n",
    "print(json.dumps(summary[\"verdict\"], indent=2))\n",
    "print(\"\\nArtifacts:\")\n",
    "for k, p in paths.items():\n",
    "    print(f\"  {k:22s} {p}\")\n",
    "print(\"Figures:\")\n",
    "for p in sorted(OUT.glob(\"fig_*.png\")):\n",
    "    print(\" \", p.name)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "493a0dac",
   "metadata": {},
   "source": [
    "### Limitations\n",
    "\n",
    "1. **Associational, not causal.** CA and transit were measured in the same instrument; we cannot establish whether apprehension reduces transit use, transit exposure reduces apprehension, or both reflect third variables (urbanicity, employment, age).\n",
    "2. **Thresholded outcome.** “Regular” collapses `Q26` into weekly+ vs not; intensity of ridership within the regular group is ignored here.\n",
    "3. **Modest discrimination.** ROC-AUC in the mid-0.50s means CA alone is not a strong classifier of transit habits — useful as a signal, not a screening rule.\n",
    "4. **Cohort scope.** Findings apply to this Prolific↔Qualtrics matched sample.\n",
    "\n",
    "---\n",
    "\n",
    "### CLI\n",
    "\n",
    "```bash\n",
    "ca-personas ca-transit-rf --join inner\n",
    "```\n"
   ]
  }
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