{
 "nbformat": 4,
 "nbformat_minor": 5,
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "name": "python3"
  },
  "language_info": {
   "name": "python"
  },
  "colab": {
   "provenance": []
  }
 },
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "aAa6nU1n1Dht"
   },
   "source": "# 🩺 Diyabet ML + QML (Colab)\n## Şablon: Quantum Computing Uygulama Geliştirme (19 aşama mantığı, diyabet case)\n\n**Problem:** `Outcome ∈ {0,1}` — diyabet yok / var  \n**Klasik ML:** Tüm özellikler → RF / LR / XGB / SVM  \n**QML:** `Glucose + Age + BMI` → **3 qubit** → ZZFeatureMap → Fidelity Kernel → **QSVC**\n\n| | Klasik ML | QML |\n|---|---|---|\n| Süreç | Veri → Model → Tahmin | Scaling → Encoding → Circuit → Kernel → QSVC |\n| Bu case | 8 özellik | 3 kritik özellik → 3 qubit |\n\n**Ortam:** Google Colab · Qiskit Statevector (güvenli) · IBM QPU opsiyonel  \n\n> Hata önlemleri (kredi riski şablonundan): `n_qubits=3` (Statevector), X ↔ feature map boyutu kilitli, stratified subset, `pylatexenc`, ISA kernel’e yazılmaz.\n",
   "id": "aAa6nU1n1Dht"
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "3Fh1YsXj1Dh2"
   },
   "source": "## AŞAMA 1–3: Kurulum ve import",
   "id": "3Fh1YsXj1Dh2"
  },
  {
   "cell_type": "code",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "UN7FytUR1Dh3",
    "executionInfo": {
     "status": "ok",
     "timestamp": 1787844583991,
     "user_tz": -180,
     "elapsed": 33535,
     "user": {
      "displayName": "Joseph Volkan ÖZCAN",
      "userId": "11389530967736397480"
     }
    },
    "outputId": "a4189611-887e-41ee-9e3b-c2e4a1e3273e"
   },
   "execution_count": 1,
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "📦 Kurulum...\n",
      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.8/1.8 MB\u001b[0m \u001b[31m11.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[?25h✅ Kurulum tamam\n"
     ]
    }
   ],
   "source": "print(\"📦 Kurulum...\")\n!pip install -q --upgrade pip\n!pip install -q qiskit qiskit-aer qiskit-machine-learning qiskit-ibm-runtime\n!pip install -q numpy pandas scikit-learn xgboost matplotlib seaborn pylatexenc\n!pip install -q ipywidgets python-dotenv\nprint(\"✅ Kurulum tamam\")\n",
   "id": "UN7FytUR1Dh3"
  },
  {
   "cell_type": "code",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "egnFOZrG1Dh6",
    "executionInfo": {
     "status": "ok",
     "timestamp": 1787844587426,
     "user_tz": -180,
     "elapsed": 3390,
     "user": {
      "displayName": "Joseph Volkan ÖZCAN",
      "userId": "11389530967736397480"
     }
    },
    "outputId": "ef46346b-20a0-4e8c-d1bd-eedd2abd29c1"
   },
   "execution_count": 2,
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Python: 3.13.15\n",
      "✅ Import OK\n"
     ]
    }
   ],
   "source": "import os, sys, warnings\nfrom pathlib import Path\nfrom datetime import datetime\n\nimport numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\nimport seaborn as sns\n\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.preprocessing import StandardScaler, MinMaxScaler\nfrom sklearn.metrics import (\n    accuracy_score, precision_score, recall_score, f1_score,\n    roc_auc_score, roc_curve, confusion_matrix, classification_report,\n    ConfusionMatrixDisplay,\n)\nfrom sklearn.linear_model import LogisticRegression\nfrom sklearn.ensemble import RandomForestClassifier\nfrom sklearn.svm import SVC\nfrom xgboost import XGBClassifier\n\nwarnings.filterwarnings(\"ignore\")\nsns.set_style(\"whitegrid\")\nplt.rcParams[\"figure.figsize\"] = (10, 5)\nprint(\"Python:\", sys.version.split()[0])\nprint(\"✅ Import OK\")\n",
   "id": "egnFOZrG1Dh6"
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "aUJ5EEQU1DiA"
   },
   "source": "## AŞAMA 4: IBM Token (opsiyonel)\n\nToken yoksa tüm quantum adımlar **Statevector** ile çalışır.\n",
   "id": "aUJ5EEQU1DiA"
  },
  {
   "cell_type": "code",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "bhf1OKnR1DiA",
    "executionInfo": {
     "status": "ok",
     "timestamp": 1787844598174,
     "user_tz": -180,
     "elapsed": 10744,
     "user": {
      "displayName": "Joseph Volkan ÖZCAN",
      "userId": "11389530967736397480"
     }
    },
    "outputId": "6f4a61d5-f9a8-4f81-d4e2-f258f255eba9"
   },
   "execution_count": 3,
   "outputs": [
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      "qiskit_runtime_service.__init__:WARNING:2026-08-27 15:29:57,100: Instance was not set at service instantiation. Free and trial plan instances will be prioritized. Based on the following filters: (tags: None, region: us-east, eu-de), and available plans: (open), the available account instances are: student-cuneytsargullar, student-ozlemdundar_sau, student-mehmetbozdemir21, open-instance. If you need a specific instance set it explicitly either by using a saved account with a saved default instance or passing it in directly to QiskitRuntimeService(). Alternatively, pass instance='auto' or save it to your account for auto-selection without warning.\n",
      "qiskit_runtime_service.backends:WARNING:2026-08-27 15:29:57,109: Loading instance: student-cuneytsargullar, plan: open\n",
      "qiskit_runtime_service.backends:WARNING:2026-08-27 15:29:58,200: Loading instance: student-ozlemdundar_sau, plan: open\n",
      "qiskit_runtime_service.backends:WARNING:2026-08-27 15:29:58,204: Loading instance: student-mehmetbozdemir21, plan: open\n",
      "qiskit_runtime_service.backends:WARNING:2026-08-27 15:29:58,207: Loading instance: open-instance, plan: open\n"
     ]
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "✅ IBM Runtime OK, backend: 3\n"
     ]
    }
   ],
   "source": "from qiskit_ibm_runtime import QiskitRuntimeService\n\nIBM_TOKEN = None\ntry:\n    from google.colab import userdata\n    IBM_TOKEN = userdata.get(\"IBM_QUANTUM_TOKEN\")\nexcept Exception:\n    pass\nif not IBM_TOKEN:\n    try:\n        from dotenv import load_dotenv\n        load_dotenv()\n        IBM_TOKEN = os.getenv(\"IBM_QUANTUM_TOKEN\")\n    except Exception:\n        pass\n\nservice = None\nif IBM_TOKEN:\n    try:\n        QiskitRuntimeService.save_account(channel=\"ibm_quantum_platform\", token=IBM_TOKEN, overwrite=True)\n        service = QiskitRuntimeService()\n        print(\"✅ IBM Runtime OK, backend:\", len(service.backends()))\n    except Exception as e:\n        print(\"⚠️ Token/servis:\", e)\nelse:\n    try:\n        service = QiskitRuntimeService()\n        print(\"✅ Kayıtlı hesap OK\")\n    except Exception:\n        print(\"ℹ️ Token yok → Statevector simülatör\")\n",
   "id": "bhf1OKnR1DiA"
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "h_K4aL8h1DiC"
   },
   "source": "## AŞAMA 5–6: Veri yükleme\n\nÖncelik: `data_fix.csv` (`;` ayırıcı) → Colab upload → sentetik yedek (Pima benzeri).\n\n**Değişkenler:** Pregnancies, Glucose, BloodPressure, SkinThickness, Insulin, BMI, DiabetesPedigreeFunction, Age, **Outcome**\n",
   "id": "h_K4aL8h1DiC"
  },
  {
   "cell_type": "code",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 324
    },
    "id": "rd_hBhGz1DiD",
    "executionInfo": {
     "status": "ok",
     "timestamp": 1787844729983,
     "user_tz": -180,
     "elapsed": 131766,
     "user": {
      "displayName": "Joseph Volkan ÖZCAN",
      "userId": "11389530967736397480"
     }
    },
    "outputId": "80d41a10-66c7-42fc-a30a-b17325ab1899"
   },
   "execution_count": 4,
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "data_fix.csv yükleyin (sütun ayırıcı ; )...\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ],
      "text/html": [
       "\n",
       "     <input type=\"file\" id=\"files-d4cbfc91-5486-45c4-94cf-db12c6992e01\" name=\"files[]\" multiple disabled\n",
       "        style=\"border:none\" />\n",
       "     <output id=\"result-d4cbfc91-5486-45c4-94cf-db12c6992e01\">\n",
       "      Upload widget is only available when the cell has been executed in the\n",
       "      current browser session. Please rerun this cell to enable.\n",
       "      </output>\n",
       "      <script>// Copyright 2017 Google LLC\n",
       "//\n",
       "// Licensed under the Apache License, Version 2.0 (the \"License\");\n",
       "// you may not use this file except in compliance with the License.\n",
       "// You may obtain a copy of the License at\n",
       "//\n",
       "//      http://www.apache.org/licenses/LICENSE-2.0\n",
       "//\n",
       "// Unless required by applicable law or agreed to in writing, software\n",
       "// distributed under the License is distributed on an \"AS IS\" BASIS,\n",
       "// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
       "// See the License for the specific language governing permissions and\n",
       "// limitations under the License.\n",
       "\n",
       "/**\n",
       " * @fileoverview Helpers for google.colab Python module.\n",
       " */\n",
       "(function(scope) {\n",
       "function span(text, styleAttributes = {}) {\n",
       "  const element = document.createElement('span');\n",
       "  element.textContent = text;\n",
       "  for (const key of Object.keys(styleAttributes)) {\n",
       "    element.style[key] = styleAttributes[key];\n",
       "  }\n",
       "  return element;\n",
       "}\n",
       "\n",
       "// Max number of bytes which will be uploaded at a time.\n",
       "const MAX_PAYLOAD_SIZE = 100 * 1024;\n",
       "\n",
       "function _uploadFiles(inputId, outputId) {\n",
       "  const steps = uploadFilesStep(inputId, outputId);\n",
       "  const outputElement = document.getElementById(outputId);\n",
       "  // Cache steps on the outputElement to make it available for the next call\n",
       "  // to uploadFilesContinue from Python.\n",
       "  outputElement.steps = steps;\n",
       "\n",
       "  return _uploadFilesContinue(outputId);\n",
       "}\n",
       "\n",
       "// This is roughly an async generator (not supported in the browser yet),\n",
       "// where there are multiple asynchronous steps and the Python side is going\n",
       "// to poll for completion of each step.\n",
       "// This uses a Promise to block the python side on completion of each step,\n",
       "// then passes the result of the previous step as the input to the next step.\n",
       "function _uploadFilesContinue(outputId) {\n",
       "  const outputElement = document.getElementById(outputId);\n",
       "  const steps = outputElement.steps;\n",
       "\n",
       "  const next = steps.next(outputElement.lastPromiseValue);\n",
       "  return Promise.resolve(next.value.promise).then((value) => {\n",
       "    // Cache the last promise value to make it available to the next\n",
       "    // step of the generator.\n",
       "    outputElement.lastPromiseValue = value;\n",
       "    return next.value.response;\n",
       "  });\n",
       "}\n",
       "\n",
       "/**\n",
       " * Generator function which is called between each async step of the upload\n",
       " * process.\n",
       " * @param {string} inputId Element ID of the input file picker element.\n",
       " * @param {string} outputId Element ID of the output display.\n",
       " * @return {!Iterable<!Object>} Iterable of next steps.\n",
       " */\n",
       "function* uploadFilesStep(inputId, outputId) {\n",
       "  const inputElement = document.getElementById(inputId);\n",
       "  inputElement.disabled = false;\n",
       "\n",
       "  const outputElement = document.getElementById(outputId);\n",
       "  outputElement.innerHTML = '';\n",
       "\n",
       "  const pickedPromise = new Promise((resolve) => {\n",
       "    inputElement.addEventListener('change', (e) => {\n",
       "      resolve(e.target.files);\n",
       "    });\n",
       "  });\n",
       "\n",
       "  const cancel = document.createElement('button');\n",
       "  inputElement.parentElement.appendChild(cancel);\n",
       "  cancel.textContent = 'Cancel upload';\n",
       "  const cancelPromise = new Promise((resolve) => {\n",
       "    cancel.onclick = () => {\n",
       "      resolve(null);\n",
       "    };\n",
       "  });\n",
       "\n",
       "  // Wait for the user to pick the files.\n",
       "  const files = yield {\n",
       "    promise: Promise.race([pickedPromise, cancelPromise]),\n",
       "    response: {\n",
       "      action: 'starting',\n",
       "    }\n",
       "  };\n",
       "\n",
       "  cancel.remove();\n",
       "\n",
       "  // Disable the input element since further picks are not allowed.\n",
       "  inputElement.disabled = true;\n",
       "\n",
       "  if (!files) {\n",
       "    return {\n",
       "      response: {\n",
       "        action: 'complete',\n",
       "      }\n",
       "    };\n",
       "  }\n",
       "\n",
       "  for (const file of files) {\n",
       "    const li = document.createElement('li');\n",
       "    li.append(span(file.name, {fontWeight: 'bold'}));\n",
       "    li.append(span(\n",
       "        `(${file.type || 'n/a'}) - ${file.size} bytes, ` +\n",
       "        `last modified: ${\n",
       "            file.lastModifiedDate ? file.lastModifiedDate.toLocaleDateString() :\n",
       "                                    'n/a'} - `));\n",
       "    const percent = span('0% done');\n",
       "    li.appendChild(percent);\n",
       "\n",
       "    outputElement.appendChild(li);\n",
       "\n",
       "    const fileDataPromise = new Promise((resolve) => {\n",
       "      const reader = new FileReader();\n",
       "      reader.onload = (e) => {\n",
       "        resolve(e.target.result);\n",
       "      };\n",
       "      reader.readAsArrayBuffer(file);\n",
       "    });\n",
       "    // Wait for the data to be ready.\n",
       "    let fileData = yield {\n",
       "      promise: fileDataPromise,\n",
       "      response: {\n",
       "        action: 'continue',\n",
       "      }\n",
       "    };\n",
       "\n",
       "    // Use a chunked sending to avoid message size limits. See b/62115660.\n",
       "    let position = 0;\n",
       "    do {\n",
       "      const length = Math.min(fileData.byteLength - position, MAX_PAYLOAD_SIZE);\n",
       "      const chunk = new Uint8Array(fileData, position, length);\n",
       "      position += length;\n",
       "\n",
       "      const base64 = btoa(String.fromCharCode.apply(null, chunk));\n",
       "      yield {\n",
       "        response: {\n",
       "          action: 'append',\n",
       "          file: file.name,\n",
       "          data: base64,\n",
       "        },\n",
       "      };\n",
       "\n",
       "      let percentDone = fileData.byteLength === 0 ?\n",
       "          100 :\n",
       "          Math.round((position / fileData.byteLength) * 100);\n",
       "      percent.textContent = `${percentDone}% done`;\n",
       "\n",
       "    } while (position < fileData.byteLength);\n",
       "  }\n",
       "\n",
       "  // All done.\n",
       "  yield {\n",
       "    response: {\n",
       "      action: 'complete',\n",
       "    }\n",
       "  };\n",
       "}\n",
       "\n",
       "scope.google = scope.google || {};\n",
       "scope.google.colab = scope.google.colab || {};\n",
       "scope.google.colab._files = {\n",
       "  _uploadFiles,\n",
       "  _uploadFilesContinue,\n",
       "};\n",
       "})(self);\n",
       "</script> "
      ]
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Saving data_fix.csv to data_fix.csv\n",
      "✅ Upload: data_fix.csv → (541, 9)\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "   Pregnancies  Glucose  BloodPressure  SkinThickness  Insulin   BMI  \\\n",
       "0            6      148             72             35        0  33.6   \n",
       "1            1       85             66             29        0  26.6   \n",
       "2            1       89             66             23       94  28.1   \n",
       "3            0      137             40             35      168  43.1   \n",
       "4            3       78             50             32       88  31.0   \n",
       "\n",
       "   DiabetesPedigreeFunction  Age  Outcome  \n",
       "0                     0.627   50        1  \n",
       "1                     0.351   31        0  \n",
       "2                     0.167   21        0  \n",
       "3                     2.288   33        1  \n",
       "4                     0.248   26        1  "
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       "\n",
       "  <div id=\"df-99f52d09-6509-4465-b847-eba7b8872dab\" class=\"colab-df-container\">\n",
       "    <div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "  <div class=\"colab-df-container\">\n",
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       "            title=\"Convert this dataframe to an interactive table.\"\n",
       "            style=\"display:none;\">\n",
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       "  </svg>\n",
       "    </button>\n",
       "\n",
       "  <style>\n",
       "    .colab-df-container {\n",
       "      display:flex;\n",
       "      gap: 12px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert {\n",
       "      background-color: #E8F0FE;\n",
       "      border: none;\n",
       "      border-radius: 50%;\n",
       "      cursor: pointer;\n",
       "      display: none;\n",
       "      fill: #1967D2;\n",
       "      height: 32px;\n",
       "      padding: 0 0 0 0;\n",
       "      width: 32px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert:hover {\n",
       "      background-color: #E2EBFA;\n",
       "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
       "      fill: #174EA6;\n",
       "    }\n",
       "\n",
       "    .colab-df-buttons div {\n",
       "      margin-bottom: 4px;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert {\n",
       "      background-color: #3B4455;\n",
       "      fill: #D2E3FC;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert:hover {\n",
       "      background-color: #434B5C;\n",
       "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
       "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
       "      fill: #FFFFFF;\n",
       "    }\n",
       "  </style>\n",
       "\n",
       "    <script>\n",
       "      const buttonEl =\n",
       "        document.querySelector('#df-99f52d09-6509-4465-b847-eba7b8872dab button.colab-df-convert');\n",
       "      buttonEl.style.display =\n",
       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "\n",
       "      async function convertToInteractive(key) {\n",
       "        const element = document.querySelector('#df-99f52d09-6509-4465-b847-eba7b8872dab');\n",
       "        const dataTable =\n",
       "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
       "                                                    [key], {});\n",
       "        if (!dataTable) return;\n",
       "\n",
       "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
       "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
       "          + ' to learn more about interactive tables.';\n",
       "        element.innerHTML = '';\n",
       "        dataTable['output_type'] = 'display_data';\n",
       "        await google.colab.output.renderOutput(dataTable, element);\n",
       "        const docLink = document.createElement('div');\n",
       "        docLink.innerHTML = docLinkHtml;\n",
       "        element.appendChild(docLink);\n",
       "      }\n",
       "    </script>\n",
       "  </div>\n",
       "\n",
       "\n",
       "    </div>\n",
       "  </div>\n"
      ],
      "application/vnd.google.colaboratory.intrinsic+json": {
       "type": "dataframe",
       "summary": "{\n  \"name\": \"print(\\\"\\u015eekil:\\\", df\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"Pregnancies\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2,\n        \"min\": 0,\n        \"max\": 6,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          1,\n          3,\n          6\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Glucose\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 32,\n        \"min\": 78,\n        \"max\": 148,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          85,\n          78,\n          89\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"BloodPressure\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 13,\n        \"min\": 40,\n        \"max\": 72,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          66,\n          50,\n          72\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"SkinThickness\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 5,\n        \"min\": 23,\n        \"max\": 35,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          29,\n          32,\n          35\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Insulin\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 71,\n        \"min\": 0,\n        \"max\": 168,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          94,\n          88,\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"BMI\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 6.518972311645448,\n        \"min\": 26.6,\n        \"max\": 43.1,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          26.6,\n          31.0,\n          28.1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"DiabetesPedigreeFunction\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.8846913020935607,\n        \"min\": 0.167,\n        \"max\": 2.288,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.351,\n          0.248,\n          0.167\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Age\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 10,\n        \"min\": 21,\n        \"max\": 50,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          31,\n          26,\n          21\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Outcome\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          0,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Outcome oranı: 33.27%\n",
      "Şekil: (541, 9)\n"
     ]
    }
   ],
   "source": "df = None\nfor path in [\"data_fix.csv\", \"/content/data_fix.csv\", \"./data_fix.csv\"]:\n    if Path(path).exists():\n        df = pd.read_csv(path, delimiter=\";\")\n        print(f\"✅ Okundu: {path} → {df.shape}\")\n        break\n\nif df is None:\n    try:\n        from google.colab import files\n        print(\"data_fix.csv yükleyin (sütun ayırıcı ; )...\")\n        up = files.upload()\n        for name in up:\n            if name.lower().endswith(\".csv\"):\n                df = pd.read_csv(name, delimiter=\";\")\n                print(f\"✅ Upload: {name} → {df.shape}\")\n                break\n    except Exception as e:\n        print(\"Upload yok:\", e)\n\nif df is None:\n    # Sentetik Pima-benzeri (Colab'da dosya yoksa pipeline yine çalışsın)\n    print(\"⚠️ CSV yok → sentetik diyabet verisi üretiliyor\")\n    rng = np.random.RandomState(42)\n    n = 541\n    glucose = rng.normal(120, 30, n).clip(50, 200)\n    bmi = rng.normal(32, 7, n).clip(15, 55)\n    age = rng.randint(21, 70, n)\n    logit = -5.5 + 0.035 * glucose + 0.08 * bmi + 0.03 * age + rng.normal(0, 0.5, n)\n    outcome = (1 / (1 + np.exp(-logit)) > 0.45).astype(int)\n    df = pd.DataFrame({\n        \"Pregnancies\": rng.randint(0, 10, n),\n        \"Glucose\": glucose.round(0).astype(int),\n        \"BloodPressure\": rng.normal(70, 12, n).clip(40, 120).astype(int),\n        \"SkinThickness\": rng.randint(0, 60, n),\n        \"Insulin\": rng.randint(0, 300, n),\n        \"BMI\": bmi.round(1),\n        \"DiabetesPedigreeFunction\": rng.uniform(0.08, 2.5, n).round(3),\n        \"Age\": age,\n        \"Outcome\": outcome,\n    })\n    print(\"Sentetik shape:\", df.shape)\n\n# Sütun adlarını normalize et\ndf.columns = [c.strip() for c in df.columns]\nassert \"Outcome\" in df.columns, f\"Outcome yok: {list(df.columns)}\"\ndisplay(df.head())\nprint(\"Outcome oranı:\", f\"{df['Outcome'].mean():.2%}\")\nprint(\"Şekil:\", df.shape)\n",
   "id": "rd_hBhGz1DiD"
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "zYAp_SZL1DiE"
   },
   "source": "## AŞAMA 7: EDA",
   "id": "zYAp_SZL1DiE"
  },
  {
   "cell_type": "code",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "id": "lXPtcgYe1DiF",
    "executionInfo": {
     "status": "ok",
     "timestamp": 1787844731654,
     "user_tz": -180,
     "elapsed": 1657,
     "user": {
      "displayName": "Joseph Volkan ÖZCAN",
      "userId": "11389530967736397480"
     }
    },
    "outputId": "bf9aba50-6350-438c-91d5-13bf6da5f693"
   },
   "execution_count": 5,
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 1100x400 with 2 Axes>"
      ],
      "image/png": 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\n"
     },
     "metadata": {}
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 1400x800 with 6 Axes>"
      ],
      "image/png": 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     },
     "metadata": {}
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 1000x500 with 2 Axes>"
      ],
      "image/png": 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\n"
     },
     "metadata": {}
    }
   ],
   "source": "fig, axes = plt.subplots(1, 2, figsize=(11, 4))\ndf[\"Outcome\"].value_counts().plot(kind=\"bar\", ax=axes[0], color=[\"#2ecc71\", \"#e74c3c\"])\naxes[0].set_title(\"Outcome (0=Yok, 1=Var)\")\naxes[0].set_xticklabels([\"Yok\", \"Var\"], rotation=0)\ndf[\"Outcome\"].value_counts(normalize=True).plot(\n    kind=\"pie\", ax=axes[1], autopct=\"%1.1f%%\", colors=[\"#2ecc71\", \"#e74c3c\"], labels=[\"Yok\", \"Var\"]\n)\naxes[1].set_ylabel(\"\"); plt.tight_layout(); plt.show()\n\nnum = [\"Glucose\", \"BMI\", \"Age\", \"BloodPressure\", \"Insulin\", \"DiabetesPedigreeFunction\"]\nnum = [c for c in num if c in df.columns]\nfig, axes = plt.subplots(2, 3, figsize=(14, 8))\nfor i, col in enumerate(num):\n    ax = axes[i // 3, i % 3]\n    sns.boxplot(data=df, x=\"Outcome\", y=col, ax=ax, palette=[\"#2ecc71\", \"#e74c3c\"])\n    ax.set_xticklabels([\"Yok\", \"Var\"]); ax.set_title(col)\nplt.suptitle(\"Özellik vs Outcome\"); plt.tight_layout(); plt.show()\n\ncorr = df[num + [\"Outcome\"]].corr()\nsns.heatmap(corr, annot=True, fmt=\".2f\", cmap=\"RdYlGn\", center=0)\nplt.title(\"Korelasyon\"); plt.tight_layout(); plt.show()\n",
   "id": "lXPtcgYe1DiF"
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "EyOx5hqz1DiG"
   },
   "source": "## AŞAMA 9: Ön işleme (klasik full set)\n\nTrain/test stratify + StandardScaler (`fit` sadece train).\n",
   "id": "EyOx5hqz1DiG"
  },
  {
   "cell_type": "code",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "oo24zZT71DiG",
    "executionInfo": {
     "status": "ok",
     "timestamp": 1787844731702,
     "user_tz": -180,
     "elapsed": 40,
     "user": {
      "displayName": "Joseph Volkan ÖZCAN",
      "userId": "11389530967736397480"
     }
    },
    "outputId": "75dabaec-22c8-4caa-93d4-143e970c9221"
   },
   "execution_count": 6,
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Train (405, 8) pos=33.33%\n",
      "Test  (136, 8) pos=33.09%\n"
     ]
    }
   ],
   "source": "feature_cols = [c for c in df.columns if c != \"Outcome\"]\nX = df[feature_cols]\ny = df[\"Outcome\"]\n\nX_train, X_test, y_train, y_test = train_test_split(\n    X, y, test_size=0.25, random_state=42, stratify=y\n)\nscaler = StandardScaler()\nX_train_sc = scaler.fit_transform(X_train)\nX_test_sc = scaler.transform(X_test)\nprint(\"Train\", X_train_sc.shape, f\"pos={y_train.mean():.2%}\")\nprint(\"Test \", X_test_sc.shape, f\"pos={y_test.mean():.2%}\")\n",
   "id": "oo24zZT71DiG"
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "E-hhrLqV1DiH"
   },
   "source": "## AŞAMA 10: Klasik baseline",
   "id": "E-hhrLqV1DiH"
  },
  {
   "cell_type": "code",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "id": "wvgadL-h1DiI",
    "executionInfo": {
     "status": "ok",
     "timestamp": 1787844732640,
     "user_tz": -180,
     "elapsed": 933,
     "user": {
      "displayName": "Joseph Volkan ÖZCAN",
      "userId": "11389530967736397480"
     }
    },
    "outputId": "8fe952d6-6c83-465e-9b17-95a763c67428"
   },
   "execution_count": 7,
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "\n",
      "=== Logistic Regression ===\n",
      "  accuracy    : 0.7574\n",
      "  precision   : 0.6111\n",
      "  recall      : 0.7333\n",
      "  f1          : 0.6667\n",
      "  roc_auc     : 0.8391\n",
      "\n",
      "=== Random Forest ===\n",
      "  accuracy    : 0.7721\n",
      "  precision   : 0.6667\n",
      "  recall      : 0.6222\n",
      "  f1          : 0.6437\n",
      "  roc_auc     : 0.8079\n",
      "\n",
      "=== XGBoost ===\n",
      "  accuracy    : 0.7574\n",
      "  precision   : 0.6111\n",
      "  recall      : 0.7333\n",
      "  f1          : 0.6667\n",
      "  roc_auc     : 0.8071\n",
      "\n",
      "=== SVM (RBF) ===\n",
      "  accuracy    : 0.7500\n",
      "  precision   : 0.6122\n",
      "  recall      : 0.6667\n",
      "  f1          : 0.6383\n",
      "  roc_auc     : 0.8382\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 800x400 with 1 Axes>"
      ],
      "image/png": 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       "                   Değişken      Önem\n",
       "1                   Glucose  0.225242\n",
       "7                       Age  0.158917\n",
       "5                       BMI  0.145546\n",
       "6  DiabetesPedigreeFunction  0.128150\n",
       "3             SkinThickness  0.097541\n",
       "4                   Insulin  0.087654\n",
       "2             BloodPressure  0.080287\n",
       "0               Pregnancies  0.076665"
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       "\n",
       "    [theme=dark] .colab-df-convert {\n",
       "      background-color: #3B4455;\n",
       "      fill: #D2E3FC;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert:hover {\n",
       "      background-color: #434B5C;\n",
       "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
       "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
       "      fill: #FFFFFF;\n",
       "    }\n",
       "  </style>\n",
       "\n",
       "    <script>\n",
       "      const buttonEl =\n",
       "        document.querySelector('#df-5f5019ba-d6ed-4ba2-ac24-9a8f4ae01c81 button.colab-df-convert');\n",
       "      buttonEl.style.display =\n",
       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "\n",
       "      async function convertToInteractive(key) {\n",
       "        const element = document.querySelector('#df-5f5019ba-d6ed-4ba2-ac24-9a8f4ae01c81');\n",
       "        const dataTable =\n",
       "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
       "                                                    [key], {});\n",
       "        if (!dataTable) return;\n",
       "\n",
       "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
       "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
       "          + ' to learn more about interactive tables.';\n",
       "        element.innerHTML = '';\n",
       "        dataTable['output_type'] = 'display_data';\n",
       "        await google.colab.output.renderOutput(dataTable, element);\n",
       "        const docLink = document.createElement('div');\n",
       "        docLink.innerHTML = docLinkHtml;\n",
       "        element.appendChild(docLink);\n",
       "      }\n",
       "    </script>\n",
       "  </div>\n",
       "\n",
       "\n",
       "    </div>\n",
       "  </div>\n"
      ],
      "application/vnd.google.colaboratory.intrinsic+json": {
       "type": "dataframe",
       "summary": "{\n  \"name\": \"print(\\\"\\u2705 Klasik modeller tamam\\\")\",\n  \"rows\": 8,\n  \"fields\": [\n    {\n      \"column\": \"De\\u011fi\\u015fken\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 8,\n        \"samples\": [\n          \"Age\",\n          \"Insulin\",\n          \"Glucose\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\u00d6nem\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.05087123773873053,\n        \"min\": 0.07666477340513898,\n        \"max\": 0.22524215097404812,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          0.15891652206866091,\n          0.08765352985457872,\n          0.22524215097404812\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "✅ Klasik modeller tamam\n"
     ]
    }
   ],
   "source": "def evaluate(name, model, Xtr, ytr, Xte, yte):\n    model.fit(Xtr, ytr)\n    pred = model.predict(Xte)\n    proba = model.predict_proba(Xte)[:, 1] if hasattr(model, \"predict_proba\") else None\n    m = {\n        \"accuracy\": accuracy_score(yte, pred),\n        \"precision\": precision_score(yte, pred, zero_division=0),\n        \"recall\": recall_score(yte, pred, zero_division=0),\n        \"f1\": f1_score(yte, pred, zero_division=0),\n        \"roc_auc\": roc_auc_score(yte, proba) if proba is not None else np.nan,\n    }\n    print(f\"\\n=== {name} ===\")\n    for k, v in m.items():\n        print(f\"  {k:12s}: {v:.4f}\")\n    return m, model\n\nresults = {}\nresults[\"Logistic Regression\"], _ = evaluate(\n    \"Logistic Regression\",\n    LogisticRegression(max_iter=1000, class_weight=\"balanced\", random_state=42),\n    X_train_sc, y_train, X_test_sc, y_test)\nresults[\"Random Forest\"], rf_model = evaluate(\n    \"Random Forest\",\n    RandomForestClassifier(n_estimators=200, class_weight=\"balanced\", random_state=42, n_jobs=-1),\n    X_train_sc, y_train, X_test_sc, y_test)\nresults[\"XGBoost\"], _ = evaluate(\n    \"XGBoost\",\n    XGBClassifier(\n        n_estimators=200, max_depth=4, learning_rate=0.05,\n        scale_pos_weight=max((y_train == 0).sum() / max((y_train == 1).sum(), 1), 1),\n        random_state=42, eval_metric=\"logloss\"),\n    X_train_sc, y_train, X_test_sc, y_test)\nresults[\"SVM (RBF)\"], _ = evaluate(\n    \"SVM (RBF)\",\n    SVC(kernel=\"rbf\", class_weight=\"balanced\", probability=True, random_state=42),\n    X_train_sc, y_train, X_test_sc, y_test)\n\n# RF importance\nimp = pd.DataFrame({\"Değişken\": feature_cols, \"Önem\": rf_model.feature_importances_}).sort_values(\"Önem\")\nplt.figure(figsize=(8, 4))\nplt.barh(imp[\"Değişken\"], imp[\"Önem\"], color=\"#3498db\")\nplt.title(\"Random Forest — özellik önemi\")\nplt.tight_layout(); plt.show()\ndisplay(imp.sort_values(\"Önem\", ascending=False))\nprint(\"✅ Klasik modeller tamam\")\n",
   "id": "wvgadL-h1DiI"
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "m2-VFdxA1DiK"
   },
   "source": "## AŞAMA 11–12: QML özellik seçimi + encoding\n\nŞablondaki diyabet örneği: **Glucose → q0, Age → q1, BMI → q2** (3 qubit).  \nAngle encoding; Statevector için güvenli boyut.\n",
   "id": "m2-VFdxA1DiK"
  },
  {
   "cell_type": "code",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "-9XNxdTY1DiK",
    "executionInfo": {
     "status": "ok",
     "timestamp": 1787844732798,
     "user_tz": -180,
     "elapsed": 69,
     "user": {
      "displayName": "Joseph Volkan ÖZCAN",
      "userId": "11389530967736397480"
     }
    },
    "outputId": "30ae8eb5-443d-4c3c-a076-d36c6a2b48e3"
   },
   "execution_count": 8,
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "QML özellikler: ['Glucose', 'Age', 'BMI']\n",
      "n_qubits = 3\n",
      "Train QML (405, 3) | Test (136, 3)\n",
      "İlk örnek açılar (rad): [1.904 0.262 1.428]\n",
      "İlk örnek açılar (deg): [109.1  15.   81.8]\n"
     ]
    }
   ],
   "source": "QML_FEATURES = [\"Glucose\", \"Age\", \"BMI\"]\nfor c in QML_FEATURES:\n    assert c in feature_cols, f\"Eksik sütun: {c}\"\n\nn_qubits = len(QML_FEATURES)  # 3\nqml_idx = [feature_cols.index(c) for c in QML_FEATURES]\n\n# Klasik split'ten aynı satırlar (leakage yok)\nX_train_qml = X_train_sc[:, qml_idx]\nX_test_qml = X_test_sc[:, qml_idx]\n\n# QML için [0, π] aralığına MinMax (açı kodlaması)\nmm = MinMaxScaler(feature_range=(0, np.pi))\nX_train_qml_scaled = mm.fit_transform(X_train_qml)\nX_test_qml_scaled = mm.transform(X_test_qml)\n\nprint(\"QML özellikler:\", QML_FEATURES)\nprint(\"n_qubits =\", n_qubits)\nprint(\"Train QML\", X_train_qml_scaled.shape, \"| Test\", X_test_qml_scaled.shape)\nprint(\"İlk örnek açılar (rad):\", np.round(X_train_qml_scaled[0], 3))\nprint(\"İlk örnek açılar (deg):\", np.round(np.degrees(X_train_qml_scaled[0]), 1))\n",
   "id": "-9XNxdTY1DiK"
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "so2bnVh_1DiL"
   },
   "source": "## AŞAMA 13: Feature map + kernel + Bloch\n\n- `Ry` angle encoding demo  \n- `ZZFeatureMap` + `FidelityQuantumKernel` (Statevector)  \n- Bloch küreleri (3 qubit product state)\n",
   "id": "so2bnVh_1DiL"
  },
  {
   "cell_type": "code",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "id": "TklBGjzC1DiM",
    "executionInfo": {
     "status": "ok",
     "timestamp": 1787844734547,
     "user_tz": -180,
     "elapsed": 1746,
     "user": {
      "displayName": "Joseph Volkan ÖZCAN",
      "userId": "11389530967736397480"
     }
    },
    "outputId": "1923fde7-a4b0-4a93-8b6c-9039dac84adf"
   },
   "execution_count": 9,
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Angle encoding (Glucose, Age, BMI):\n",
      "     ┌───────────┐\n",
      "q_0: ┤ Ry(1.904) ├\n",
      "     └┬──────────┤\n",
      "q_1: ─┤ Ry(π/12) ├\n",
      "     ┌┴──────────┤\n",
      "q_2: ┤ Ry(5π/11) ├\n",
      "     └───────────┘\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 203.885x284.278 with 1 Axes>"
      ],
      "image/png": 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\n"
     },
     "metadata": {}
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 960x320 with 3 Axes>"
      ],
      "image/png": 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\n"
     },
     "metadata": {}
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 1500x601 with 3 Axes>"
      ],
      "image/png": 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\n"
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "ZZFeatureMap params: 3\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 1458.05x284.278 with 1 Axes>"
      ],
      "image/png": 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     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "✅ Statevector FidelityQuantumKernel hazır\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 500x400 with 2 Axes>"
      ],
      "image/png": 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\n"
     },
     "metadata": {}
    }
   ],
   "source": "from qiskit import QuantumCircuit\nfrom qiskit.circuit.library import ZZFeatureMap\nfrom qiskit.quantum_info import Statevector\nfrom qiskit.visualization import plot_bloch_vector, plot_bloch_multivector\nfrom qiskit.primitives import StatevectorSampler\nfrom qiskit_machine_learning.state_fidelities import ComputeUncompute\nfrom qiskit_machine_learning.kernels import FidelityQuantumKernel\n\nfirst = X_train_qml_scaled[0]\n\n# Angle-encoding devresi\nqc_demo = QuantumCircuit(n_qubits)\nfor i, ang in enumerate(first):\n    qc_demo.ry(float(ang), i)\nprint(\"Angle encoding (Glucose, Age, BMI):\")\nprint(qc_demo.draw(output=\"text\"))\ntry:\n    display(qc_demo.draw(output=\"mpl\"))\nexcept Exception as e:\n    print(\"mpl:\", e)\n\n# Bloch\nfig, axes = plt.subplots(1, n_qubits, figsize=(3.2 * n_qubits, 3.2), subplot_kw={\"projection\": \"3d\"})\nfor i in range(n_qubits):\n    th = float(first[i])\n    plot_bloch_vector([np.sin(th), 0.0, np.cos(th)], ax=axes[i], title=QML_FEATURES[i])\nplt.suptitle(\"Bloch — angle encoding\", y=1.05)\nplt.tight_layout(); plt.show()\ntry:\n    display(plot_bloch_multivector(Statevector.from_instruction(qc_demo), title=\"3 qubit multivector\"))\nexcept Exception as e:\n    print(\"multivector:\", e)\n\n# ZZFeatureMap + kernel\nfeature_map = ZZFeatureMap(feature_dimension=n_qubits, reps=2, entanglement=\"linear\")\nprint(\"ZZFeatureMap params:\", feature_map.num_parameters)\ntry:\n    display(feature_map.assign_parameters(first).decompose().draw(output=\"mpl\"))\nexcept Exception:\n    print(feature_map.decompose())\n\nquantum_kernel = FidelityQuantumKernel(\n    feature_map=feature_map,\n    fidelity=ComputeUncompute(sampler=StatevectorSampler()),\n)\nprint(\"✅ Statevector FidelityQuantumKernel hazır\")\n\n# Küçük kernel matrisi görseli\nK5 = quantum_kernel.evaluate(X_train_qml_scaled[:5])\nplt.figure(figsize=(5, 4))\nplt.imshow(K5, cmap=\"viridis\")\nplt.colorbar(label=\"Fidelity\")\nplt.title(\"Kernel matrix (ilk 5 hasta)\")\nplt.tight_layout(); plt.show()\n",
   "id": "TklBGjzC1DiM"
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "zypSngaV1DiN"
   },
   "source": "## AŞAMA 14–15: QSVC eğitimi + CM / ROC\n\nKernel \\(O(n^2)\\) → stratified küçük subset.  \nHer fit öncesi **feature_dimension = X.shape[1]** (boyut kilidi).\n",
   "id": "zypSngaV1DiN"
  },
  {
   "cell_type": "code",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "1IVyOdpX1DiO",
    "executionInfo": {
     "status": "ok",
     "timestamp": 1787844757060,
     "user_tz": -180,
     "elapsed": 22503,
     "user": {
      "displayName": "Joseph Volkan ÖZCAN",
      "userId": "11389530967736397480"
     }
    },
    "outputId": "5fea8dd7-8c5f-4bfd-b386-0294a1e95232"
   },
   "execution_count": 10,
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "QSVC | n_qubits=3 | train (40, 3) pos=32.50% | test pos=30.00%\n",
      "QSVC fit...\n",
      "\n",
      "=== Quantum QSVC (Diyabet) ===\n",
      "  accuracy    : 0.8000\n",
      "  precision   : 1.0000\n",
      "  recall      : 0.3333\n",
      "  f1          : 0.5000\n",
      "  roc_auc     : 0.6905\n"
     ]
    }
   ],
   "source": "from qiskit_machine_learning.algorithms import QSVC\n\nN_TRAIN_Q, N_TEST_Q = 40, 20\n\ndef stratified_idx(y_arr, n, seed):\n    rng = np.random.RandomState(seed)\n    y_arr = np.asarray(y_arr)\n    pos, neg = np.where(y_arr == 1)[0], np.where(y_arr == 0)[0]\n    n_pos = min(max(n // 3, 1), len(pos))\n    n_neg = min(n - n_pos, len(neg))\n    sel = np.concatenate([\n        rng.choice(pos, n_pos, replace=False),\n        rng.choice(neg, n_neg, replace=False),\n    ])\n    rng.shuffle(sel)\n    return sel\n\ntr_idx = stratified_idx(y_train.values, N_TRAIN_Q, 42)\nte_idx = stratified_idx(y_test.values, N_TEST_Q, 1)\nX_q_train = X_train_qml_scaled[tr_idx]\ny_q_train = y_train.values[tr_idx]\nX_q_test = X_test_qml_scaled[te_idx]\ny_q_test = y_test.values[te_idx]\n\n_dim = int(X_q_train.shape[1])\nprint(f\"QSVC | n_qubits={_dim} | train {X_q_train.shape} pos={y_q_train.mean():.2%} | test pos={y_q_test.mean():.2%}\")\n\n# Boyut kilitli kernel\nfeature_map = ZZFeatureMap(feature_dimension=_dim, reps=2, entanglement=\"linear\")\nquantum_kernel = FidelityQuantumKernel(\n    feature_map=feature_map,\n    fidelity=ComputeUncompute(sampler=StatevectorSampler()),\n)\nqsvc = QSVC(quantum_kernel=quantum_kernel)\nprint(\"QSVC fit...\")\nqsvc.fit(X_q_train, y_q_train)\ny_q_pred = qsvc.predict(X_q_test)\ntry:\n    s = qsvc.decision_function(X_q_test)\n    y_q_proba = (s - s.min()) / (s.max() - s.min() + 1e-12)\nexcept Exception:\n    y_q_proba = y_q_pred.astype(float)\n\nq_metrics = {\n    \"accuracy\": accuracy_score(y_q_test, y_q_pred),\n    \"precision\": precision_score(y_q_test, y_q_pred, zero_division=0),\n    \"recall\": recall_score(y_q_test, y_q_pred, zero_division=0),\n    \"f1\": f1_score(y_q_test, y_q_pred, zero_division=0),\n    \"roc_auc\": roc_auc_score(y_q_test, y_q_proba) if len(np.unique(y_q_test)) > 1 else np.nan,\n}\nprint(\"\\n=== Quantum QSVC (Diyabet) ===\")\nfor k, v in q_metrics.items():\n    print(f\"  {k:12s}: {v:.4f}\")\n",
   "id": "1IVyOdpX1DiO"
  },
  {
   "cell_type": "code",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 560
    },
    "id": "WqcX3rgw1DiP",
    "executionInfo": {
     "status": "ok",
     "timestamp": 1787844757339,
     "user_tz": -180,
     "elapsed": 274,
     "user": {
      "displayName": "Joseph Volkan ÖZCAN",
      "userId": "11389530967736397480"
     }
    },
    "outputId": "49d0a6fc-e36c-4fb7-9fde-d1c5205de7d4"
   },
   "execution_count": 11,
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 1100x400 with 2 Axes>"
      ],
      "image/png": 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\n"
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "         Yok       0.78      1.00      0.88        14\n",
      "         Var       1.00      0.33      0.50         6\n",
      "\n",
      "    accuracy                           0.80        20\n",
      "   macro avg       0.89      0.67      0.69        20\n",
      "weighted avg       0.84      0.80      0.76        20\n",
      "\n"
     ]
    }
   ],
   "source": "fig, axes = plt.subplots(1, 2, figsize=(11, 4))\n_labs = sorted(set(y_q_test.tolist()) | set(y_q_pred.tolist()))\ncm = confusion_matrix(y_q_test, y_q_pred, labels=_labs if len(_labs) >= 2 else _labs)\n_names = [\"Yok\" if x == 0 else \"Var\" for x in ( _labs if len(_labs) == cm.shape[0] else range(cm.shape[0]) )]\nif len(_names) != cm.shape[0]:\n    _names = [str(i) for i in range(cm.shape[0])]\nConfusionMatrixDisplay(cm, display_labels=_names).plot(ax=axes[0], cmap=\"Blues\", colorbar=False)\naxes[0].set_title(\"QSVC CM\")\n\nif len(np.unique(y_q_test)) > 1 and not np.isnan(q_metrics[\"roc_auc\"]):\n    fpr, tpr, _ = roc_curve(y_q_test, y_q_proba)\n    axes[1].plot(fpr, tpr, label=f\"AUC={q_metrics['roc_auc']:.3f}\")\n    axes[1].plot([0, 1], [0, 1], \"k--\")\n    axes[1].legend(); axes[1].set_title(\"ROC\")\nelse:\n    axes[1].text(0.5, 0.5, \"ROC yok\", ha=\"center\")\nplt.tight_layout(); plt.show()\nprint(classification_report(y_q_test, y_q_pred, target_names=[\"Yok\", \"Var\"], zero_division=0))\n",
   "id": "WqcX3rgw1DiP"
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "8D3omNNp1DiP"
   },
   "source": "## AŞAMA 16: IBM QPU (opsiyonel)\n\nEğitimi bozmaz. `RUN_ON_REAL_QPU=True` yalnızca backend listeler / ISA demo.\n",
   "id": "8D3omNNp1DiP"
  },
  {
   "cell_type": "code",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "zFUCTGJI1DiQ",
    "executionInfo": {
     "status": "ok",
     "timestamp": 1787844784017,
     "user_tz": -180,
     "elapsed": 5185,
     "user": {
      "displayName": "Joseph Volkan ÖZCAN",
      "userId": "11389530967736397480"
     }
    },
    "outputId": "e11e1c04-9499-48e0-a44e-b6ef46523a9d"
   },
   "execution_count": 14,
   "outputs": [
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      "qiskit_runtime_service.backends:WARNING:2026-08-27 15:33:01,207: Loading instance: student-cuneytsargullar, plan: open\n",
      "qiskit_runtime_service.backends:WARNING:2026-08-27 15:33:01,262: Loading instance: student-ozlemdundar_sau, plan: open\n",
      "qiskit_runtime_service.backends:WARNING:2026-08-27 15:33:01,267: Loading instance: student-mehmetbozdemir21, plan: open\n",
      "qiskit_runtime_service.backends:WARNING:2026-08-27 15:33:01,268: Loading instance: open-instance, plan: open\n",
      "qiskit_runtime_service.backends:WARNING:2026-08-27 15:33:03,034: Using instance: student-cuneytsargullar, plan: open\n"
     ]
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Backend: ibm_marrakesh 156 q\n",
      "ISA demo OK, qubits= 156\n",
      "Eğitim kernel'i Statevector olarak kaldı.\n"
     ]
    }
   ],
   "source": "RUN_ON_REAL_QPU = True\nif RUN_ON_REAL_QPU and service is not None:\n    try:\n        from qiskit.transpiler.preset_passmanagers import generate_preset_pass_manager\n        backend = service.least_busy(operational=True, simulator=False, min_num_qubits=n_qubits)\n        print(\"Backend:\", backend.name, backend.num_qubits, \"q\")\n        fm = ZZFeatureMap(n_qubits, reps=1, entanglement=\"linear\")\n        for _ in range(8):\n            fm = fm.decompose()\n        isa = generate_preset_pass_manager(optimization_level=1, backend=backend).run(fm)\n        print(\"ISA demo OK, qubits=\", isa.num_qubits)\n        print(\"Eğitim kernel'i Statevector olarak kaldı.\")\n    except Exception as e:\n        print(\"QPU:\", type(e).__name__, str(e)[:200])\nelse:\n    print(\"QPU kapalı — Statevector sonuçları geçerli.\")\n",
   "id": "zFUCTGJI1DiQ"
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ju86lcYd1DiR"
   },
   "source": "## AŞAMA 18: Klasik vs Quantum karşılaştırma",
   "id": "ju86lcYd1DiR"
  },
  {
   "cell_type": "code",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 594
    },
    "id": "GJA72OBv1DiR",
    "executionInfo": {
     "status": "ok",
     "timestamp": 1787844791155,
     "user_tz": -180,
     "elapsed": 625,
     "user": {
      "displayName": "Joseph Volkan ÖZCAN",
      "userId": "11389530967736397480"
     }
    },
    "outputId": "85051c9a-cae3-47e2-b5d8-c9517486f817"
   },
   "execution_count": 15,
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7eef5055b110>"
      ],
      "text/html": [
       "<style type=\"text/css\">\n",
       "#T_8b04a_row0_col0, #T_8b04a_row0_col1, #T_8b04a_row0_col3, #T_8b04a_row2_col1, #T_8b04a_row2_col3, #T_8b04a_row4_col2, #T_8b04a_row4_col4 {\n",
       "  background-color: lightgreen;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_8b04a\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_8b04a_level0_col0\" class=\"col_heading level0 col0\" >ROC-AUC</th>\n",
       "      <th id=\"T_8b04a_level0_col1\" class=\"col_heading level0 col1\" >F1</th>\n",
       "      <th id=\"T_8b04a_level0_col2\" class=\"col_heading level0 col2\" >Precision</th>\n",
       "      <th id=\"T_8b04a_level0_col3\" class=\"col_heading level0 col3\" >Recall</th>\n",
       "      <th id=\"T_8b04a_level0_col4\" class=\"col_heading level0 col4\" >Accuracy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_8b04a_level0_row0\" class=\"row_heading level0 row0\" >Logistic Regression</th>\n",
       "      <td id=\"T_8b04a_row0_col0\" class=\"data row0 col0\" >0.839100</td>\n",
       "      <td id=\"T_8b04a_row0_col1\" class=\"data row0 col1\" >0.666700</td>\n",
       "      <td id=\"T_8b04a_row0_col2\" class=\"data row0 col2\" >0.611100</td>\n",
       "      <td id=\"T_8b04a_row0_col3\" class=\"data row0 col3\" >0.733300</td>\n",
       "      <td id=\"T_8b04a_row0_col4\" class=\"data row0 col4\" >0.757400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_8b04a_level0_row1\" class=\"row_heading level0 row1\" >Random Forest</th>\n",
       "      <td id=\"T_8b04a_row1_col0\" class=\"data row1 col0\" >0.807900</td>\n",
       "      <td id=\"T_8b04a_row1_col1\" class=\"data row1 col1\" >0.643700</td>\n",
       "      <td id=\"T_8b04a_row1_col2\" class=\"data row1 col2\" >0.666700</td>\n",
       "      <td id=\"T_8b04a_row1_col3\" class=\"data row1 col3\" >0.622200</td>\n",
       "      <td id=\"T_8b04a_row1_col4\" class=\"data row1 col4\" >0.772100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_8b04a_level0_row2\" class=\"row_heading level0 row2\" >XGBoost</th>\n",
       "      <td id=\"T_8b04a_row2_col0\" class=\"data row2 col0\" >0.807100</td>\n",
       "      <td id=\"T_8b04a_row2_col1\" class=\"data row2 col1\" >0.666700</td>\n",
       "      <td id=\"T_8b04a_row2_col2\" class=\"data row2 col2\" >0.611100</td>\n",
       "      <td id=\"T_8b04a_row2_col3\" class=\"data row2 col3\" >0.733300</td>\n",
       "      <td id=\"T_8b04a_row2_col4\" class=\"data row2 col4\" >0.757400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_8b04a_level0_row3\" class=\"row_heading level0 row3\" >SVM (RBF)</th>\n",
       "      <td id=\"T_8b04a_row3_col0\" class=\"data row3 col0\" >0.838200</td>\n",
       "      <td id=\"T_8b04a_row3_col1\" class=\"data row3 col1\" >0.638300</td>\n",
       "      <td id=\"T_8b04a_row3_col2\" class=\"data row3 col2\" >0.612200</td>\n",
       "      <td id=\"T_8b04a_row3_col3\" class=\"data row3 col3\" >0.666700</td>\n",
       "      <td id=\"T_8b04a_row3_col4\" class=\"data row3 col4\" >0.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_8b04a_level0_row4\" class=\"row_heading level0 row4\" >Quantum QSVC</th>\n",
       "      <td id=\"T_8b04a_row4_col0\" class=\"data row4 col0\" >0.690500</td>\n",
       "      <td id=\"T_8b04a_row4_col1\" class=\"data row4 col1\" >0.500000</td>\n",
       "      <td id=\"T_8b04a_row4_col2\" class=\"data row4 col2\" >1.000000</td>\n",
       "      <td id=\"T_8b04a_row4_col3\" class=\"data row4 col3\" >0.333300</td>\n",
       "      <td id=\"T_8b04a_row4_col4\" class=\"data row4 col4\" >0.800000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ]
     },
     "metadata": {}
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 1000x400 with 1 Axes>"
      ],
      "image/png": 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\n"
     },
     "metadata": {}
    }
   ],
   "source": "comparison = pd.DataFrame({\n    name: {\n        \"ROC-AUC\": r[\"roc_auc\"], \"F1\": r[\"f1\"],\n        \"Precision\": r[\"precision\"], \"Recall\": r[\"recall\"], \"Accuracy\": r[\"accuracy\"],\n    }\n    for name, r in results.items()\n})\ncomparison[\"Quantum QSVC\"] = {\n    \"ROC-AUC\": q_metrics[\"roc_auc\"], \"F1\": q_metrics[\"f1\"],\n    \"Precision\": q_metrics[\"precision\"], \"Recall\": q_metrics[\"recall\"],\n    \"Accuracy\": q_metrics[\"accuracy\"],\n}\ncomparison = comparison.T.round(4)\ndisplay(comparison.style.highlight_max(axis=0, color=\"lightgreen\"))\n\nfig, ax = plt.subplots(figsize=(10, 4))\ncomparison[[\"ROC-AUC\", \"F1\"]].plot(kind=\"bar\", ax=ax, color=[\"#3498db\", \"#e74c3c\"])\nax.set_ylim(0, 1.05)\nax.set_title(\"Diyabet — Klasik vs QSVC (quantum: küçük subset)\")\nplt.xticks(rotation=15); plt.tight_layout(); plt.show()\n",
   "id": "GJA72OBv1DiR"
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "0IzZLzSy1DiR"
   },
   "source": "## AŞAMA 19: Yorumlama\n\n1. **Klasik modeller** full test setinde; **QSVC** stratified küçük subset + 3 özellik → adil “quantum kazandı” iddiası için erken, pipeline öğrenmek için yeterli.\n2. Klinik açıdan **recall** (diyabeti kaçırmamak) genelde kritik; precision ile dengeleyin.\n3. RF önem grafiğinde Glucose / BMI / Age öne çıkıyorsa QML özellik seçimi desteklenmiş demektir.\n4. Statevector = gürültüsüz üst sınır; gerçek QPU ayrı deneme (Aşama 16).\n\n### Colab kullanım\n1. Runtime → Restart  \n2. Bu notebook’u yükle  \n3. `data_fix.csv` aynı klasöre koy veya upload et (`;` ayırıcı)  \n4. Yukarıdan aşağı çalıştır  \n\n**Şablon uyumu:** Kredi riski QML POC son hali · Diyabet case · 2026\n",
   "id": "0IzZLzSy1DiR"
  }
 ]
}