{
 "nbformat": 4,
 "nbformat_minor": 5,
 "metadata": {
  "colab": {
   "provenance": []
  },
  "kernelspec": {
   "name": "python3",
   "display_name": "Python 3"
  },
  "language_info": {
   "name": "python"
  }
 },
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "title"
   },
   "source": "# 🧠 MRI Görüntülerinde Kanser / Tümör Taraması\n## Klasik Analiz + Qiskit Hibrit Kuantum Model (Colab)\n\n**Hedef kitle:** Öğrenciler  \n**Veri:** Public MRI veri seti (Hugging Face / yedek URL)  \n**Kuantum:** Özellik indirgeme + Quantum Kernel / VQC (Qiskit)\n\n| Bölüm | İçerik |\n|-------|--------|\n| 1 | Kurulum |\n| 2 | Veri seti yükleme |\n| 3 | EDA ve görselleştirme |\n| 4 | Ön işleme |\n| 5 | Klasik baseline (RF, SVM, CNN-light) |\n| 6 | Özellik çıkarımı + PCA (qubit bütçesi) |\n| 7 | Qiskit Quantum Kernel sınıflandırıcı |\n| 8 | Metrikler, confusion matrix, ROC |\n| 9 | Klinik / metodolojik yorum |\n| 10 | Ödevler ve sınırlar |\n\n> **Uyarı:** Bu notebook **eğitim amaçlıdır**. Gerçek tanı/tedavi kararı için kullanılamaz. Tıbbi AI’de regülasyon, bias ve klinik validasyon zorunludur.\n",
   "id": "title"
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "s1"
   },
   "source": "## 1. Kurulum\n",
   "id": "s1"
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "id": "setup",
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "status": "ok",
     "timestamp": 1786333182493,
     "user_tz": -180,
     "elapsed": 54136,
     "user": {
      "displayName": "Joseph Volkan ÖZCAN",
      "userId": "11389530967736397480"
     }
    },
    "outputId": "e65125dd-6e51-4d3c-8dca-79df9db47f31"
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Python: 3.12.13\n",
      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.8/1.8 MB\u001b[0m \u001b[31m12.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[?25h✅ Kurulum tamam.\n"
     ]
    }
   ],
   "source": "import sys\nprint(f\"Python: {sys.version.split()[0]}\")\n\n!pip install -q --upgrade pip\n!pip install -q qiskit qiskit-aer qiskit-machine-learning qiskit-algorithms\n!pip install -q datasets huggingface_hub medmnist\n!pip install -q scikit-learn pandas numpy matplotlib seaborn pillow tqdm\n!pip install -q torchvision torch --index-url https://download.pytorch.org/whl/cpu\n\nprint(\"✅ Kurulum tamam.\")\n",
   "id": "setup"
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "id": "imports",
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "status": "ok",
     "timestamp": 1786333183485,
     "user_tz": -180,
     "elapsed": 653,
     "user": {
      "displayName": "Joseph Volkan ÖZCAN",
      "userId": "11389530967736397480"
     }
    },
    "outputId": "c39a3ff5-6c02-4e49-c5c0-0ecb7ec2b7e7"
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "✅ Temel kütüphaneler yüklendi.\n"
     ]
    }
   ],
   "source": "import numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\nimport seaborn as sns\nfrom PIL import Image\nfrom tqdm.auto import tqdm\nimport warnings\nwarnings.filterwarnings(\"ignore\")\n\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.preprocessing import StandardScaler, LabelEncoder\nfrom sklearn.decomposition import PCA\nfrom sklearn.ensemble import RandomForestClassifier\nfrom sklearn.svm import SVC\nfrom sklearn.metrics import (\n    accuracy_score, classification_report, confusion_matrix,\n    ConfusionMatrixDisplay, roc_auc_score, roc_curve, f1_score\n)\n\nsns.set_style(\"whitegrid\")\nplt.rcParams[\"figure.figsize\"] = (10, 5)\nprint(\"✅ Temel kütüphaneler yüklendi.\")\n",
   "id": "imports"
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "s2"
   },
   "source": "## 2. Public MRI Veri Seti\n\nÖncelik sırası:\n1. **Hugging Face** – beyin tümörü MRI (varsa)\n2. Yedek: küçük sentetik / örnek görüntü seti (pipeline bozulmasın)\n\nGerçek eğitimde Hugging Face’ten `imagefolder` veya hazır tümör MRI kartları kullanılır.\n",
   "id": "s2"
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "id": "load_data",
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "status": "ok",
     "timestamp": 1786333213186,
     "user_tz": -180,
     "elapsed": 29695,
     "user": {
      "displayName": "Joseph Volkan ÖZCAN",
      "userId": "11389530967736397480"
     }
    },
    "outputId": "e45a1c2a-6f95-4322-cd3d-5788b5208325"
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "MedMNIST deneniyor: BreastMNIST ...\n"
     ]
    },
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      "100%|██████████| 2.85M/2.85M [00:02<00:00, 1.18MB/s]\n"
     ]
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "✅ MedMNIST yüklendi: BreastMNIST, n=300\n",
      "\n",
      "Kaynak: BreastMNIST\n",
      "X shape: (300, 64, 64)\n",
      "Sınıflar: {'Benign': np.int64(150), 'Malignant': np.int64(150)}\n",
      "Not: MedMNIST Breast=ultrason, Pneumonia=X-ray; akış MRI taraması ile aynıdır.\n"
     ]
    }
   ],
   "source": "# ============================================================\n# VERİ YÜKLEME – MedMNIST (güvenilir) + HF yedek + sentetik\n# trust_remote_code KULLANILMIYOR (yeni datasets sürümü desteklemiyor)\n# ============================================================\nfrom PIL import Image\nimport numpy as np\n\nIMG_SIZE = 64\nMAX_PER_CLASS = 150\nX_list, y_list = [], []\nsource_name = None\nclass_names = None\n\ndef to_gray_array(img, size=IMG_SIZE):\n    if not isinstance(img, Image.Image):\n        img = Image.fromarray(np.asarray(img))\n    img = img.convert(\"L\").resize((size, size))\n    return np.asarray(img, dtype=np.float32) / 255.0\n\n# --- 1) MedMNIST: tıbbi görüntü (BreastMNIST / PneumoniaMNIST) ---\n# Not: BreastMNIST ultrason; PneumoniaMNIST X-ray. Eğitim pipeline için public ve stabil.\ntry:\n    from medmnist import BreastMNIST, PneumoniaMNIST\n    print(\"MedMNIST deneniyor: BreastMNIST ...\")\n    try:\n        ds_train = BreastMNIST(split=\"train\", download=True, size=64)\n        ds_test = BreastMNIST(split=\"test\", download=True, size=64)\n        task_name = \"BreastMNIST\"\n    except Exception:\n        print(\"BreastMNIST alınamadı, PneumoniaMNIST ...\")\n        ds_train = PneumoniaMNIST(split=\"train\", download=True, size=64)\n        ds_test = PneumoniaMNIST(split=\"test\", download=True, size=64)\n        task_name = \"PneumoniaMNIST\"\n\n    # MedMNIST: ds.imgs, ds.labels\n    imgs = np.concatenate([ds_train.imgs, ds_test.imgs], axis=0)\n    labels = np.concatenate([ds_train.labels, ds_test.labels], axis=0).reshape(-1)\n\n    # Alt örneklem (hız)\n    rng = np.random.default_rng(42)\n    selected = []\n    for c in np.unique(labels):\n        idx = np.where(labels == c)[0]\n        take = rng.choice(idx, size=min(MAX_PER_CLASS, len(idx)), replace=False)\n        selected.append(take)\n    selected = np.concatenate(selected)\n    imgs = imgs[selected]\n    labels = labels[selected]\n\n    for i in range(len(imgs)):\n        im = imgs[i]\n        if im.ndim == 3 and im.shape[-1] == 1:\n            im = im[:, :, 0]\n        if im.shape[0] != IMG_SIZE:\n            im = np.array(Image.fromarray(im).resize((IMG_SIZE, IMG_SIZE)))\n        X_list.append((im.astype(np.float32) / (255.0 if im.max() > 1 else 1.0)))\n        y_list.append(int(labels[i]))\n\n    source_name = task_name\n    # BreastMNIST: 0 benign, 1 malignant\n    if task_name == \"BreastMNIST\":\n        class_names = [\"Benign\", \"Malignant\"]\n    else:\n        class_names = [\"Normal\", \"Pneumonia\"]\n    print(f\"✅ MedMNIST yüklendi: {task_name}, n={len(X_list)}\")\nexcept Exception as e:\n    print(f\"⚠️ MedMNIST hatası: {type(e).__name__}: {e}\")\n    X_list, y_list = [], []\n\n# --- 2) Hugging Face (trust_remote_code YOK) ---\nif len(X_list) < 50:\n    try:\n        from datasets import load_dataset\n        HF_CANDIDATES = [\n            \"mnist\",  # pipeline testi; tıbbi değil\n        ]\n        # mnist sadece son çare değil - atla, sentetik daha dürüst\n        print(\"HF tıbbi set bulunamadı / atlandı (trust_remote_code kaldırıldı).\")\n    except Exception as e:\n        print(f\"HF atlandı: {e}\")\n\n# --- 3) Sentetik MRI-benzeri (son çare) ---\nif len(X_list) < 50:\n    print(\"\\n⚠️ Public tıbbi veri alınamadı → sentetik MRI-benzeri veri.\")\n    source_name = \"synthetic_mri_demo\"\n    class_names = [\"NoTumor\", \"Tumor\"]\n    rng = np.random.default_rng(42)\n    for label in [0, 1]:\n        for _ in range(MAX_PER_CLASS):\n            img = rng.normal(0.3, 0.08, size=(IMG_SIZE, IMG_SIZE))\n            if label == 1:\n                cy, cx = rng.integers(20, 44, size=2)\n                yy, xx = np.ogrid[:IMG_SIZE, :IMG_SIZE]\n                mask = (yy - cy) ** 2 + (xx - cx) ** 2 < rng.integers(40, 120)\n                img[mask] += rng.uniform(0.35, 0.55)\n            X_list.append(np.clip(img, 0, 1).astype(np.float32))\n            y_list.append(label)\n    print(f\"✅ Sentetik n={len(X_list)}\")\n\nX = np.stack(X_list)\ny = np.array(y_list, dtype=int)\n\nif class_names is None:\n    from sklearn.preprocessing import LabelEncoder\n    le = LabelEncoder()\n    y = le.fit_transform(y)\n    class_names = [str(c) for c in le.classes_]\n\n# İkiden fazla sınıf varsa ilk iki / veya olduğu gibi bırak\nprint(f\"\\nKaynak: {source_name}\")\nprint(f\"X shape: {X.shape}\")\nprint(f\"Sınıflar: {dict(zip(class_names, np.bincount(y)))}\")\nprint(\"Not: MedMNIST Breast=ultrason, Pneumonia=X-ray; akış MRI taraması ile aynıdır.\")\n",
   "id": "load_data"
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "s3"
   },
   "source": "## 3. Keşifsel Analiz (EDA)\n",
   "id": "s3"
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "id": "eda",
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 721
    },
    "executionInfo": {
     "status": "ok",
     "timestamp": 1786333216837,
     "user_tz": -180,
     "elapsed": 3152,
     "user": {
      "displayName": "Joseph Volkan ÖZCAN",
      "userId": "11389530967736397480"
     }
    },
    "outputId": "1bd8bc9c-5cbb-45c3-d776-1e9b605bf925"
   },
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 1200x400 with 12 Axes>"
      ],
      "image/png": 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\n"
     },
     "metadata": {}
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 500x300 with 1 Axes>"
      ],
      "image/png": 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\n"
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Piksel istatistikleri: min=0.000 max=1.000 mean=0.325 std=0.213\n"
     ]
    }
   ],
   "source": "fig, axes = plt.subplots(2, 6, figsize=(12, 4))\nfor i, ax in enumerate(axes.ravel()):\n    idx = i if i < len(X) else 0\n    ax.imshow(X[idx], cmap=\"gray\")\n    ax.set_title(f\"{class_names[y[idx]]}\", fontsize=8)\n    ax.axis(\"off\")\nplt.suptitle(\"Örnek MRI dilimleri\")\nplt.tight_layout()\nplt.show()\n\nplt.figure(figsize=(5, 3))\nsns.countplot(x=[class_names[i] for i in y], palette=\"Set2\")\nplt.title(\"Sınıf dağılımı\")\nplt.xticks(rotation=15)\nplt.tight_layout()\nplt.show()\n\nprint(\"Piksel istatistikleri: min={:.3f} max={:.3f} mean={:.3f} std={:.3f}\".format(\n    X.min(), X.max(), X.mean(), X.std()))\n",
   "id": "eda"
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "s4"
   },
   "source": "## 4. Ön İşleme\n\n- Düzleştirme (flatten) veya basit özellikler\n- Train/test ayrımı (stratify)\n- StandardScaler\n",
   "id": "s4"
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "id": "preprocess",
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "status": "ok",
     "timestamp": 1786333217491,
     "user_tz": -180,
     "elapsed": 401,
     "user": {
      "displayName": "Joseph Volkan ÖZCAN",
      "userId": "11389530967736397480"
     }
    },
    "outputId": "5782c8c0-4cab-4db7-8b98-8955c91ac33c"
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Flat shape: (300, 4096)\n",
      "Train: 225 | Test: 75\n",
      "Train sınıf: [112 113] | Test sınıf: [38 37]\n"
     ]
    }
   ],
   "source": "# Flatten görüntüler\nX_flat = X.reshape(len(X), -1)\nprint(\"Flat shape:\", X_flat.shape)\n\nX_train, X_test, y_train, y_test = train_test_split(\n    X_flat, y, test_size=0.25, random_state=42, stratify=y\n)\n\nscaler = StandardScaler()\nX_train_s = scaler.fit_transform(X_train)\nX_test_s = scaler.transform(X_test)\n\nprint(f\"Train: {X_train_s.shape[0]} | Test: {X_test_s.shape[0]}\")\nprint(f\"Train sınıf: {np.bincount(y_train)} | Test sınıf: {np.bincount(y_test)}\")\n",
   "id": "preprocess"
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "s5"
   },
   "source": "## 5. Klasik Baseline Modeller\n",
   "id": "s5"
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "id": "classic",
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "status": "ok",
     "timestamp": 1786333219986,
     "user_tz": -180,
     "elapsed": 2399,
     "user": {
      "displayName": "Joseph Volkan ÖZCAN",
      "userId": "11389530967736397480"
     }
    },
    "outputId": "71f766b1-adf4-4074-d7b8-35a05842e7cc"
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "⏳ Random Forest...\n",
      "  Acc=0.6533  F1=0.6526\n",
      "⏳ SVM (RBF)...\n",
      "  Acc=0.6533  F1=0.6526\n",
      "\n",
      "=== Klasik Classification Report (RF) ===\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "      Benign       0.68      0.61      0.64        38\n",
      "   Malignant       0.63      0.70      0.67        37\n",
      "\n",
      "    accuracy                           0.65        75\n",
      "   macro avg       0.66      0.65      0.65        75\n",
      "weighted avg       0.66      0.65      0.65        75\n",
      "\n"
     ]
    }
   ],
   "source": "models = {\n    \"Random Forest\": RandomForestClassifier(n_estimators=150, max_depth=12, random_state=42, n_jobs=-1),\n    \"SVM (RBF)\": SVC(kernel=\"rbf\", probability=True, class_weight=\"balanced\", random_state=42),\n}\n\nclassic_results = {}\nfor name, clf in models.items():\n    print(f\"⏳ {name}...\")\n    clf.fit(X_train_s, y_train)\n    pred = clf.predict(X_test_s)\n    proba = clf.predict_proba(X_test_s) if hasattr(clf, \"predict_proba\") else None\n    acc = accuracy_score(y_test, pred)\n    f1 = f1_score(y_test, pred, average=\"weighted\")\n    classic_results[name] = {\"model\": clf, \"pred\": pred, \"proba\": proba, \"acc\": acc, \"f1\": f1}\n    print(f\"  Acc={acc:.4f}  F1={f1:.4f}\")\n\nprint(\"\\n=== Klasik Classification Report (RF) ===\")\nprint(classification_report(y_test, classic_results[\"Random Forest\"][\"pred\"], target_names=[str(c) for c in class_names]))\n",
   "id": "classic"
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "id": "classic_cm",
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 407
    },
    "executionInfo": {
     "status": "ok",
     "timestamp": 1786333221587,
     "user_tz": -180,
     "elapsed": 1556,
     "user": {
      "displayName": "Joseph Volkan ÖZCAN",
      "userId": "11389530967736397480"
     }
    },
    "outputId": "173cbbf6-50a2-411f-c129-efc18c70a013"
   },
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 1100x400 with 2 Axes>"
      ],
      "image/png": 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V8uXL5eLicteL6qTy9PTUuHHjNGbMmDTfK5kZNWvW1LFjxzI9vn379ipZsqTmz5+fqfE7duyQdOtaDPfj+PHjKlSokJ588sn7uj9yDlNhYZMCAwM1evRorV69Wj179lRAQIDCwsI0fPhwBQQEKDo6Wl988YUqVqx43++4vfzyy3rxxRfVq1cvdenSRVevXtXSpUv15JNPWm2zWbNm8vPz04wZM3Tu3Dl5eXnp+++/17Zt2/T888/niq/SGDt2rAYNGqQePXqoa9eulq8bKVSokNW0nox4enrqpZde0vTp03Xu3Dk1b95cBQoUUHR0tLZu3aru3bsrMDBQe/bs0eTJk/XMM8+obNmySk5O1tdffy17e3u1atXKsj1vb2/t3r1bCxculJubm5544gnLRYwAAMgJU6ZM0Y0bN9SiRQuVL19eiYmJ+umnn7Rp0ya5u7urc+fOae7ToUMHhYaGKjw8XO3bt7/nDKBUzz///H3X+fTTT+vrr79WZGRkutdPuJOjo6P69eun9957T7t27bJ6w/vixYv6+uuvJUmJiYk6ceKEVqxYoaJFi97XNFjp1lecNW3alHMs8yCCJWxSy5Yt5enpqU8//VTdu3dX586d9ddff2nFihUKDw9XxYoV9f7772vz5s3at2/ffT1G48aNNXPmTH3wwQeaPn26PD09FRISom3btllt087OTnPmzNGHH36ojRs3avXq1XJ3d9fYsWM1cODA7HrKhjRo0ECffPKJPvzwQ3344YdycHBQ3bp19eqrr2Z4SfQ7DR48WGXLltWiRYv00UcfSbp1waGGDRuqWbNmkm5NgfX399eOHTt08eJFOTs7y8vLS/Pnz7eaLhscHKwJEybogw8+0M2bN9WpUyeCJQAgR40dO1abN2/Wt99+qxUrVigxMVGlS5dWr169NHTo0HSvxPrUU0/J1dVVly5dyvK01vvVtGlTFS1aVJs2bdKwYcMydZ8ePXpozpw5mj9/vlWwjIiI0NixYyXd6meKFi2qli1bavTo0SpRokSWazt16pROnjyZ5ju8kTeYzDlxZQ8AAAAAOeKjjz7S6tWrFRYWluHF/3LC1KlTdeDAAa1evZpPLPMgzrEEAAAAbEj//v0VFxenDRs25HQpFleuXNGqVav00ksvESrzKD6xBAAAAAAYwieWAAAAAABDCJYAAAAAAEMIlgAAAAAAQwiWAAAAAABDCJYAAAAAAEMIlkAmLVu2TF5eXurWrVtOl5KhlStXqnXr1qpevbpatmypJUuWZOn+x48f15AhQ1SvXj3VqFFD7dq10+LFi63G9O3bV15eXml+AgMDrcb9+uuvGjVqlJ5++mnVqFFDfn5+6t27t7Zv3274eQIAkBvRK9xCr2CbHHK6ACCvWLdundzd3XXkyBGdOXNGZcqUyemSrHzxxRd666231KpVKw0YMEAHDhzQlClTdOPGDQ0ePPie9w8PD9eQIUNUtWpVDRs2TC4uLoqKitIff/yRZmzJkiX18ssvWy1zc3Ozun3+/HnFxsaqU6dOcnNz040bNxQWFqahQ4dq8uTJ6tGjh7EnDABALkOv8C96BdvD91gCmXD27Fk1b95cs2fP1oQJE9S7d2+NGDEip8uyuHnzppo0aaKaNWtq3rx5luWvvPKKtm3bpp07d6pw4cIZ3j8mJkatWrVSrVq19OGHH8rOLuPJDH379tWVK1e0fv36LNeZnJyszp07Kz4+Xps3b87y/QEAyK3oFf5Fr2CbmAoLZMK6detUuHBhNWnSRK1atdK6devSjLl+/brefvttNWvWTNWqVVPjxo01duxYXb582TImPj5es2bNUqtWrVS9enX5+/trxIgRioqKMlTf3r17dfXqVfXq1ctqee/evRUXF6edO3fe8/n99ddfCgoKkp2dneLi4pSSknLX+yQlJSk2NjZLddrb26tUqVL6559/snQ/AAByO3qFtOgVbAtTYYFMWLdunVq0aCEnJye1a9dOy5cv15EjR+Tj4yNJio2NVe/evXXq1Cl16dJFVatW1ZUrV7R9+3ZdvHhRxYoVU3Jysl588UXt3r1bbdu2Vb9+/RQbG6vvv/9eJ0+elKenpyTp2rVrSk5OvmdNzs7OcnZ2liT9/PPPkqRq1apZjfH29padnZ0iIiL07LPPZrit3bt3q2DBgrp48aKGDRum06dPy8XFRR06dNC4ceOUL18+q/GnT59WzZo1lZiYqMcff1zdunXT8OHD5ejomGbbcXFxunnzpmJiYrR9+3bt2rVLrVu3vufzAwAgL6FXoFewdQRL4B6OHTum33//XW+++aYkqU6dOipZsqTWrVtnOVgsWLBAJ0+e1OzZs9WiRQvLfYcNG6bU2eahoaHavXu3Xn/9dfXv398yZvDgwbp9RnqnTp107ty5e9Y1YsQIjRw5UpJ06dIl2dvbq3jx4lZjnJycVKRIEf3555933dbp06eVnJysYcOGqWvXrhozZoz27dunJUuW6J9//tF///tfy1gPDw/5+fmpUqVKiouL0zfffKM5c+bo9OnT+uCDD9Js+5133tGKFSskSXZ2dmrRooUmTJhwz+cHAEBeQa9ArwCCJXBP69at0+OPPy4/Pz9JkslkUps2bbR27VoFBwfL3t5eYWFhqly5stWBIpXJZJIkhYWFqWjRourTp0+GYyTp/fffV3x8/D3r8vDwsPx+8+bNdN8BlKR8+fLp5s2bd91WXFycbty4oeeee07jx4+XJLVs2VIJCQlasWKFRo0apbJly0qS3n77bav7duzYUW+++aa+/PJL9e/fXzVr1rRa//zzz+uZZ57Rn3/+qU2bNiklJUWJiYn3fH4AAOQV9Ar0CiBYAneVnJysDRs2yM/PT9HR0ZblPj4++vTTT7V79275+/srKipKLVu2vOu2oqKiVK5cOTk43P2fXZ06dbJcZ/78+TN8AY6Pj1f+/PnveX9JateundXy9u3ba8WKFTp06JDlYJGeAQMG6Msvv9QPP/yQ5mBRoUIFVahQQdKtA8vAgQM1ZMgQrVy50uogCQBAXkSvQK+AWwiWwF3s2bNHly5d0oYNG7Rhw4Y069etWyd/f/9sfczLly9n6rwJFxcXFShQQJLk6uqq5ORk/f3331ZTXBISEnT16tU0l/e+k5ubm3799dc002OKFSsm6da5HHdTqlSpTI2TpFatWmnChAmKjIxU+fLl7zkeAIDcjF6BXgG3ECyBu1i3bp2KFy+e7jz/LVu2aMuWLZo0aZI8PT3166+/3nVbnp6eOnz4sBITEzOciiJJXbt2zfJ5E1WqVJF06xyPJk2aWMYcO3ZMKSkpqly58l235e3tre+//14XL160egFPPd8i9aCRkbNnz2ZqnCTLVJuYmJh7jgUAILejV6BXwC0ESyADN2/eVFhYmJ555hk988wzada7ublp/fr12r59u1q2bKmPPvpIW7ZsSXPuhNlslslkUsuWLbVz504tW7bM6oT828dI93fexFNPPaUiRYpo+fLlVgeL5cuXy9nZWQEBAZZlly9f1pUrV1S6dGnLleJat26tjz/+WKtWrVL9+vUtY1etWiUHBwfVq1dP0q0XeCcnJzk5OVnVPmfOHEmyekf2zndEJSkxMVFff/218ufPb5nyAgBAXkWvQK+AfxEsgQxs375dsbGxatasWbrra9asqWLFimnt2rWaPn26vvnmG40ePVpdunSRt7e3rl27pu3bt2vSpEmqXLmyOnbsqNDQUIWEhOjIkSOqU6eObty4od27d6tnz55q3ry5pPs/b2LUqFGaPHmyRo0apUaNGunAgQNau3atgoKCVKRIEcvYZcuWafbs2Vq8eLHlIgNVq1ZVly5d9NVXXyk5OVl169bVvn37tHnzZr344osqUaKEJOn48eMaM2aM2rZtK09PT8XHx2vLli366aef1KNHD3l7e1seZ8KECYqJiVHdunVVokQJXbp0SevWrdPvv/+u4OBgy9QcAADyKnoFegX8i2AJZGDt2rXKly+fGjZsmO56Ozs7BQQEaN26dUpISNCyZcs0a9YsbdmyRWvWrFHx4sVVv359ywutvb295s+frzlz5mj9+vUKCwtTkSJFVLt2bXl5eRmut3fv3nJ0dNSnn36q7du3q1SpUnr99df1/PPPZ+r+kyZNUunSpbV69Wpt3bpVpUuXTnO589KlS6tOnTrasmWL/vrrL9nZ2al8+fKaNGmSevToYbW9Nm3aaNWqVVq+fLmuXr2qAgUKyNvbW6+88oqefvppw88XAICcRq9Ar4B/mcy3fykOAAAAAABZZJfTBQAAAAAA8jaCJQAAAADAEIIlAAAAAMAQgiUAAAAAwBCCJQAAAADAEIIlAAAAAMAQvscyl0pJSVFSUpLs7OxkMplyuhwAjyiz2ayUlBQ5ODjIzo73GoG8gj4BwMOS2V6BYJlLJSUl6ejRozldBgAbUb16dTk5OeV0GQAyiT4BwMN2r16BYJlLpb4b0HfxGd1INOdwNbmLs6NJS/qVYd9kYNGoJjldQu5jTlHBuLOKcfGQTHwqZ+V/+4ZPK4G8hT4hY/QJd0efkAF6hYxlslcgWOZSqdNabiSaeVHMAPsmA7wYZsxkx/7JAFPpgLyFPuHe2DcZ4Dh4d/QKGbpXr8BeAwAAAAAYQrAEAAAAABhCsAQAAAAAGEKwBAAAAAAYQrAEAAAAABhCsAQAAAAAGEKwBAAAAAAYQrAEAAAAABhCsAQAAAAAGEKwBAAAAAAYQrAEAAAAABhCsAQAAAAAGEKwBAAAAAAYQrAEAAAAABhCsAQAAAAAGEKwBAAAAAAYQrAEAAAAABhCsAQAAAAAGEKwBAAAAAAYQrAEAAAAABhCsAQAAAAAGEKwBAAAAAAYQrAEAAAAABhCsAQAAAAAGEKwBAAAAAAYQrAEAAAAABhCsAQAAAAAGEKwBAAAAAAYQrAEAAAAABhCsAQAAAAAGEKwBAAAAAAYQrAEAAAAABhCsAQAAAAAGEKwBAAAAAAYQrAEAAAAABhCsAQAAAAAGEKwBAAAAAAYQrAEAAAAABhCsAQAAAAAGEKwBAAAAAAYQrAEAAAAABhCsAQAAAAAGEKwBAAAAAAYQrAEAAAAABhCsAQAAAAAGEKwBAAAAAAYQrAEAAAAABhCsAQAAAAAGEKwBAAAAAAYQrAEAAAAABhCsAQAAAAAGEKwBAAAAAAYQrAEAAAAABhCsAQAAAAAGEKwBAAAAAAYQrAEAAAAABhCsAQAAAAAGEKwBAAAAAAYQrAEAAAAABhCsAQAAAAAGEKwBAAAAAAYQrAEAAAAABjikNMFAOkZ1spLrWq6q0LJQrqZmKyfTv2td0KP6veLMZYxE3vU0lOV3FSisLNi45P00+9/6501R3Xq4j85WDly0tGI01q1Lly/Rl7Q5Sv/aMKYnmpQt4pl/bQ5a7R112Gr+9SpUVFTX+/3sEsFABhAn4D7Ra/w4BAs76FZs2bq16+f+vfvn9Ol2BS/J1215NtTOnzmihzsTHr12WpaPLKRWkwOk8wpkqTjZ6/qqz1ROn85ToULOOmldlW1eFQjNRq/USnmHH4CyBE3byaoXJmSahlQW//57xfpjvGtUVEvD+1kue3owMsgAGPoFR4++gTcL3qFByfP7qXg4GCtWbPGcrtIkSKqVq2aXn31VVWuXDnbHmfVqlVydnbOtu0hc56fHW51+5XF+/XT+x1U3bOojp75W5K08odI3Ui8dWSIvhyn6WuPa/P4FnqieAFF/RX70GtGzqtbq5Lq1qp01zGOjg4qVqTQQ6oIQE6iV3h00SfgftErPDh5+hzLRo0aKTw8XOHh4Vq0aJEcHBw0ZMiQbH2MYsWKcbDIBQo5O0qSrsYlpLve2cle3eqXVdRfMbpwJe5hloY85sjPp9Vj8LsKDJqpWZ+s0/V/+HsBHmX0CraBPgHZiV7h/uTpYOnk5CRXV1e5urqqSpUqGjRokC5cuKDLly9Lki5cuKDRo0fL19dX9erV09ChQxUdHW25f3BwsIYNG6YFCxbI399ffn5+mjRpkhITEy1jmjVrpkWLFllunzp1Sj179lT16tXVpk0b/fDDD/Ly8tLWrVslSdHR0fLy8lJYWJj69u2rGjVqqEOHDjp48ODD2SmPIJNJmtCtpvb/9pdOnr9uta5P4/I6PqOjImZ2UoB3CfWZ+Z0Sk5nfgvT51qioV4Z11jvj+yuwV0sdjTit8e8sUXJKSk6XBuABoVd49NEnIDvRK9y/PDsV9k6xsbFau3atypQpoyJFiigxMVGBgYGqWbOmli1bJgcHB/3f//2fXnjhBa1du1ZOTk6SpL1798rV1VWfffaZoqKiFBQUpCpVqqh79+5pHiM5OVnDhw9X6dKltXLlSsXExOjdd99Nt54ZM2botddeU5kyZTRjxgyNGTNGYWFhcsjiHG1nR1PWd8Yj5q3utVS59GPqPfNbOTuaLPvE2dGkbw6e1YHfLsn1sfwa0OxJzRn8lHrN2KmEJBv+x2+24ed+J3PKvz+SAup7S6Zb76eV83BVOQ9XDXjpQx05/rtqVSufk5XmHP5eYEMexV6BPoE+Ict43bdGr3BvmfybydPBcufOnapVq5YkKS4uTq6urpo3b57s7Oy0bt06paSkaOrUqTKZbr3AhISEqG7dutq3b5/8/f0lSYULF9aECRNkb2+vChUqqEmTJtq9e3e6B4vvv/9eZ8+e1ZIlS+Tq6ipJCgoK0oABA9KMHThwoAICAiRJo0aNUtu2bXXmzBlVqFAhS89xSb8yWRr/qCnp7qHHHiuiyFO/6KMuJazW3blvTOY/VLl0Da0fXUPXr155mGXmLrFncrqCXCN//CUVjHWx3C4Yd9Zq/ZMFpSIF8+nvqF9VsJz9wy4PwEPwqPcK9An0CVlGn2CFXiH75Olg6efnp4kTJ0qSrl27puXLl2vQoEFauXKlTpw4oaioKNWuXdvqPvHx8YqKirLcrlixouzt//0jcXV11cmTJ9N9vMjISJUsWdJyoJAkHx+fdMd6eXlZbVOSLl++nOVg2XfxGcuJ57ZmfNeaal6mkNq/u0NnLv17+XBnR5OW9CuTZt84Othp7zs++r/vLit0n+2+aC4a1SSnS8g1buZzVUyBMpI5RQXjzirGxcPyLqQkXfr7mq7FxquAW5lb42zR//YN8Kh61HsF+gT6hKyiT7BGr5AJmewV8nSwdHZ2Vpky//4P9vb2lq+vr7788kvFxcXJ29tb06ZNS3O/YsWKWX6/c7qJyWSS2Wz8BdrR0dFqm5KUch9zs28kmm3ygPGf52qpva+HBs39QX/HJKig863pSNdvJOpGolmOTk7qE1BJ24/9ocv/xKtkURcNbeWlmwnJCjtywSb3mYUpT586bciNm/E6/8dly+0/Ll3TqTMXVahAPtmZEjU/dKv8/bxVtHBBXbh4WQs+D1PpEsVVp2Ylm95vwKPsUe8V6BPoE7LMxo939AoPTp4OlncymUwymUyKj4+Xt7e3Nm3apOLFi6tgwYLZsv1y5crpjz/+0F9//aXHH39cknT06NFs2Tas9W1y693aFS8HWC1/5bP92vBjlMwpZvmWd1XfJhVV2MVJf12/qX2//aUu03bo73/ic6Bi5AYnT53Xa/9ZaLn98ZLNkqTmjWvo9ed8FBl1UVt3HVZs7E0VK1pIdXwqqF/3p+Xk+Ei9FAK4C3qFRwN9Au4XvcKDk6f3UEJCgi5duiRJun79upYuXaq4uDg1bdpUPj4+WrBggYYOHarRo0erRIkSOn/+vLZs2aIXXnhBJUuWzPLjNWzYUB4eHnrttdf06quvKjY2Vh988EE2PytIUtmhqzJc5+xoUlJSol5c8L1tv+OINGp4l9PmLyanXWFOUb7YM3r79b682wjYGHqFRxN9Au4XvcKDk6eD5XfffWc5sb5AgQIqX768Zs6cKT8/P0nS0qVLNW3aNI0YMUKxsbEqUaKE6tevf9/vStrb2+ujjz7S+PHj1bVrV3l4eGjs2LEaMmSI8uXLl23PCwAAZA96BQB4OEzm7DhJwIb9+OOP6tWrl7Zs2SJPT89s225ycrIOHTqkrgtO827bHZwdTVoVWJZ9k4EVrzTL6RJyH3OKCsaeuXXSPe9CWvvfvqlZs6bVxUkAZJ8H0SvQJ2SMPuHu6BMyQK+QsUz2Cnn6E8ucsGXLFrm4uKhMmTKKiorS1KlTVbt27WwNlQAAIO+iVwBgiwiWWRQbG6tp06bp/PnzKlq0qBo0aKDXXnstp8sCAAC5BL0CAFtEsMyijh07qmPHjjldBgAAyKXoFQDYIiYQAwAAAAAMIVgCAAAAAAwhWAIAAAAADCFYAgAAAAAMIVgCAAAAAAwhWAIAAAAADCFYAgAAAAAMIVgCAAAAAAwhWAIAAAAADCFYAgAAAAAMIVgCAAAAAAwhWAIAAAAADCFYAgAAAAAMIVgCAAAAAAwhWAIAAAAADCFYAgAAAAAMIVgCAAAAAAwhWAIAAAAADCFYAgAAAAAMIVgCAAAAAAwhWAIAAAAADCFYAgAAAAAMIVgCAAAAAAwhWAIAAAAADCFYAgAAAAAMIVgCAAAAAAwhWAIAAAAADCFYAgAAAAAMIVgCAAAAAAxxyMygbdu2ZXqDTz/99H0XAwAA8iZ6BQCwbZkKlsOHD8/UxkwmkyIiIgwVBAAA8h56BQCwbZkKlidOnHjQdQAAgDyMXgEAbJuhcyzj4+Ozqw4AAPAIolcAANuQ5WCZnJysjz76SI0aNVKtWrV09uxZSdIHH3yglStXZnuBAAAgb6FXAADbk+VgOWfOHK1Zs0avvvqqHB0dLcsrVaqkVatWZWtxAAAg76FXAADbk+Vg+fXXX+s///mPOnToIDu7f+/u5eWl33//PVuLAwAAeQ+9AgDYniwHy4sXL8rT0zPNcrPZrKSkpGwpCgAA5F30CgBge7IcLCtWrKgDBw6kWb5582ZVqVIlW4oCAAB5F70CANieTH3dyO2GDRum4OBgXbx4UWazWWFhYYqMjFRoaKjmzZv3IGoEAAB5CL0CANieLH9i2bx5c82dO1e7d++Ws7OzPvzwQ506dUpz585Vw4YNH0SNAAAgD6FXAADbk+VPLCXJ19dXCxcuzO5aAADAI4JeAQBsy30FS0k6evSoTp06JenWuRTVqlXLtqIAAEDeR68AALYjy8Hyjz/+0Msvv6yffvpJjz32mCTp+vXrqlWrlmbMmKGSJUtme5EAACDvoFcAANuT5XMs33jjDSUlJWnjxo3at2+f9u3bp40bN8psNuuNN954EDUCAIA8hF4BAGxPlj+x3L9/v7744guVL1/esqx8+fIaP368evfuna3FAQCAvIdeAQBsT5Y/sSxVqlS6X26ckpIiNze3bCkKAADkXfQKAGB7shwsX331Vf3nP//R0aNHLcuOHj2qqVOn6rXXXsvW4gAAQN5DrwAAtidTU2Hr1q0rk8lkuR0XF6fu3bvL3t5ekpScnCx7e3uNGzdOzZs3fzCVAgCAXIteAQBsW6aC5bhx4x50HQAAIA+jVwAA25apYNmpU6cHXQcAAMjD6BUAwLZl+aqwt4uPj1diYqLVsoIFCxoqCAAAPDroFQDANmQ5WMbFxWnatGnatGmTrl69mmZ9REREdtQFAADyKHoFALA9Wb4q7Pvvv689e/Zo4sSJcnJy0pQpUzRy5Ei5ubnp3XfffRA1AgCAPIReAQBsT5aD5Y4dO/TWW2+pVatWsre3l6+vr4YNG6agoCCtW7fuQdQIAADyEHoFALA9WQ6W165dk4eHh6Rb50hcu3ZNklSnTh0dOHAge6sDAAB5Dr0CANieLAfLJ554QtHR0ZKk8uXLa9OmTZJuvTtZqFCh7K0OAADkOfQKAGB7shwsu3TpohMnTkiSBg8erGXLlql69eoKCQlRYGBgthcIAADyFnoFALA9Wb4qbP/+/S2/N2jQQJs2bdLx48fl6empypUrZ2dtAAAgD6JXAADbY+h7LCXJ3d1d7u7u2VELAAB4BNErAMCjL1PBcvHixZneYL9+/e67GAAAkDfRKwCAbctUsFy0aFGmNmYymThYAABgg+gVAMC2mcxmszmni0BaycnJOnTokCpXqyl7e/ucLidXSU5O1olj7JuMFK07IqdLyHVc8jsqbHYftRyxVHE3E3O6nFwldd/UrMm/JyAvoU/IGH3C3dEnpI9eIWOZ7RWyfFVYAAAAAABuR7AEAAAAABhCsAQAAAAAGEKwBAAAAAAYQrAEAAAAABhyX8HywIEDeuWVV9SjRw9dvHhRkhQaGqoDBw5ka3EAACBvolcAANuS5WD5zTffKDAwUPnz59fPP/+shIQESVJMTIzmzZuX7QUCAIC8hV4BAGxPloPlnDlzNGnSJE2ZMkUODg6W5bVr19bPP/+crcUBAIC8h14BAGxPloNlZGSkfH190ywvVKiQrl+/ni1FAQCAvIteAQBsT5aD5eOPP66oqKg0y3/88Ud5eHhkS1EAACDvolcAANuT5WDZvXt3TZ06VYcPH5bJZNLFixe1du1avfvuu+rZs+eDqBEAAOQh9AoAYHsc7j3E2uDBg5WSkqL+/fvrxo0b6tOnj5ycnDRw4ED17dv3QdQIAADyEHoFALA9WQ6WJpNJQ4cOVWBgoKKiohQXF6cKFSqoQIECD6I+AACQx9ArAIDtyXKwTOXk5KSKFStmZy0AAOARQq8AALYjy8Gyb9++MplMGa5fvHixoYIAAEDeRq8AALYny8GySpUqVreTkpIUERGhX3/9VR07dsyuugAAQB5FrwAAtifLwXLcuHHpLp81a5bi4uIMFwQAAPI2egUAsD1Z/rqRjHTo0EFfffVVdm0OAAA8YugVAODRlW3B8uDBg3JycsquzQEAgEcMvQIAPLqyPBV2xIgRVrfNZrMuXbqkY8eOadiwYdlWGAAAyJvoFQDA9mQ5WBYqVMjqtslkUrly5TRq1Cj5+/tnW2EAACBvolcAANuTpWCZnJyszp07q1KlSipcuPCDqgkAAORR9AoAYJuydI6lvb29Bg4cqOvXrz+oegAAQB5GrwAAtinLF+958sknFR0d/SBqAQAAjwB6BQCwPVkOli+99JLeffdd7dixQ3/++adiYmKsfgAAgG2jVwAA25Ppcyxnz56tgQMHavDgwZKkoUOHymQyWdabzWaZTCZFRERkf5UAACDXo1cAANuV6WD50UcfqWfPnlq8ePGDrAcAAORR9AoAYLsyHSzNZrMkqV69eg+sGAAAkHfRKwCA7crSOZa3T2cBAAC4E70CANimLH2PZatWre55wNi3b5+hggAAQN5FrwAAtilLwXLkyJEqVKjQg6oFAADkcfQKAGCbshQs27Ztq+LFiz+oWgAAQB5HrwAAtinT51hyzgQAALgbegUAsF2ZDpapV3oDAABID70CANiuTE+FPXHixIOsAwAA5HH0CgBgu7L0dSMAAAAAANyJYAkAAAAAMIRgCQAAAAAwhGAJAAAAADCEYAkAAAAAMIRgCQAAAAAwhGAJAAAAADCEYAkAAAAAMIRgCQAAAAAwhGAJAAAAADCEYAkAAAAAMIRgCQAAAAAwhGAJAAAAADCEYAkAAAAAMIRgCQAAAAAwhGAJAAAAADCEYAkAAAAAMIRgCQAAAAAwhGAJAAAAADCEYAkAAAAAMIRgCQAAAAAwhGAJAAAAADCEYAkAAAAAMIRgCQAAAAAwhGAJAAAAADCEYAkAAAAAMIRgCQAAAAAwhGAJAAAAADCEYAkAAAAAMOSRCZbR0dHy8vJSRESEJGnv3r3y8vLS9evXc7gy3I/vf/pNzwXNVZXW41S07ght2HnYav23P55W11H/p/LNx6po3RE6+kt0DlWK3CSof0tt++xVRe2cppPfhGjp+4NUsYxbmnF1q5fT1/83UtG7puvMjve1Yd5Lyp/PMQcqBvAw0Ss8Wu7VK6zfcVidR8ymV4AFfcKDlaPBMjg4WF5eXpowYUKadZMmTZKXl5eCg4Pva9u1atVSeHi4ChUqZLRM5IC4G/GqVsld74/tke76GwlJ8qtRXhNHdHy4hSFXa1C7oj5ZuUstB05T5xGz5ehgr9WzRsg5v5NlTN3q5bTqw2HasfeEmvd/X0/3f1/zV36rlBRzDlYOICP0CsjIvXqFuJsJeqpGBXoFWGTUJ7jc1ifU8S5Dn3CfHHK6gFKlSmnjxo0aN26c8ufPL0mKj4/X+vXrVbp06fverpOTk1xdXbOrTDxkLRp6q0VD7wzXP1O/oipXq6lzF68+vKKQ63Ub9X9Wt4dNWqrftrwjH68nLMumBnXWvBU79cFnWyzLfjvz50OrEUDW0SsgPffqFbq3rit7e3tFnf/7IVaF3CyjPqFmFQ8dioiSJE0c2ZE+4T7l+FTYqlWrqlSpUgoLC7MsCwsLU6lSpVSlShXLsl27dqlnz57y9fWVn5+fXnzxRUVFRWW43fSmt3z55Zdq0qSJatSooeHDh2vhwoXy9fW1rJ81a5aeffZZhYaGqlmzZqpTp46CgoIUExOT6TpSp9mEhYWpb9++qlGjhjp06KCDBw8a3lcAsuaxgrca0KvX4yRJxYsUVN3q5XTpcoy+WfCyftn8ttbPG62napTPyTIB3AO9AoAHIbVPuPK/PsHewUG1vcvSJ9ynHA+WktSlSxetXr3acvurr75S586drcbcuHFDAwYM0FdffaVFixbJZDJp+PDhSklJydRj/Pjjj3rrrbfUr18/hYaGqkGDBpo7d26acVFRUdq2bZvmzp2refPmaf/+/Zo/f36W65gxY4YCAwMVGhqqsmXLasyYMUpKSsrKbgFggMlkUsjLXbXn0Cn9EvmHJKlM6eKSpOBBbfRZ6A/qOur/dPjEWYX+30iV9+BTCyA3o1cAkJ1u7xMiTl2QJDk55ZNEn3C/cnwqrCR16NBB06dP17lz5yRJP/30k/773/9q3759ljGtWrWyus/bb7+t+vXr67ffflOlSpXu+RhLly5V48aNFRgYKEkqV66cDh48qJ07d1qNM5vNCgkJUcGCBS217d69W0FBQVmqY+DAgQoICJAkjRo1Sm3bttWZM2dUoUKFTOyRfyUnJ2dp/KMqJSXFsi9u/6/l95Rk9tX/uOTn5HJJChnTVVUrllan4R9a9onz//67bN0PCt3yoyRp6px1CvCrrP6dG+qdeRtyrN6cwt8L8gp6hfRx7PtXaq+QXr8g0Suk4nX/ljv7hNv3C32Ctcz+zeSKYFmsWDEFBARozZo1MpvNCggIULFixazGnD59Wh9++KEOHz6sK1euyGy+dQLthQsXMnWwiIyMVPPmza2W+fj4pDlYuLu7Ww4UkuTm5qa///53bn5m6/Dy8rL8nnr+xuXLl7McLH+NOJql8Y+q6KhInThm/U7vrxFHdeGvfyRJp3/7RY4Jf+VEablO2Ow+OV1Cjivp7qHHHiuiyFO/6LO32luWTxnSWJLUqXFFNfP5dz+5F8+vvm1rqVn1og+9VgCZQ6+QPvqEf93ZK6TuG3oFa/QJGfcJSUmJkugT7leuCJbSrSkukydPliS99dZbadYPGTJE7u7umjJlitzc3JSSkqJ27dopMTExW+twcEi7S1IPCFmpw9Hx32RvMpkkKdNTcW73ZJXqsre3z/L9HjVPeJZT5Wo+km698/hrxFE9WaW6XP538Z6yFb1UudITd9mC7fAMeCWnS8hRU17qrGdKO6np8+8rMvpWA+GS31Gh03qo7agl2vX5OK3a8aveX7DJcp9vFozRjr0ReufjjTlVdo5J3TdAXkCvkBZ9wr9Se4Xb+wR7e3u5/O/iPfQKt9AnpO0TpH+Ph3/8dY0+4Q6Z7RVyTbBs1KiREhMTZTKZ5O/vb7XuypUrioyM1JQpUywn0B84cCBL2y9XrpyOHTtmtezo0ay9y5cddWSVvb29TR4wYuLiFXn2kuX22T+u6OffLqhIYReVdi2s6zHx+vnUBf15+dbFEn4/+5fs7ezlVvwxlXj8sZwqO1eIu5m9DVReMu217urcso56vfKxLl2JUcECt07KT0q8NfUp7maiPlyyVa8PbquDEVE6ejJaPdv5qYKnm/qO/cSm9x2QF9ArpGWrfYKUca/wWMFb58ldj7mpC5eu68Jf1yTRK6Sy5WNdRn3C9Ziblv0y5/PtGjPwGfqE+5BrgqW9vb02bdpk+f12hQsXVpEiRbRixQq5urrq/Pnzmj59epa236dPH/Xp00cLFy5U06ZNtWfPHu3atcvyDmFmZEcdyJxDEWfUfsiHlttvzLh1wYaebf00681eCj8cpbcXfm5ZH/jGQknSa4NaK3hw24dbLHKNwK63prpumPeS1fKgt//9W5m7fKfyOznq7Ze7qMhjLjr+6zl1HjFbp88xPQrI7egVcLuMeoXn2tTTiM7e2vzdMY2cQq+Af2XUJwybtERfb/1JkvTJyl2ys7OjT7gPuSZYSrI6X+F2dnZ2mjFjhqZMmaJ27dqpXLlyGj9+vPr27ZvpbdepU0eTJk3S7Nmz9cEHH8jf31/9+/fXsmXLMr2N7KgDmeNfp5Ku7J+d7rrk5GS1afikXn6xm82+S4v0Fa07It3lLvkd9ULbf89l+uCzLVbfTwUg76BXQKqMeoXk5GSdOHZIPdv5qc+zDXKgMuRWGfUJkvUFaugT7o/JfPtJATZm/Pjx+v333/X555/fe/BDlpycrEOHDqlytZqEpzukHjDYN+m724umrXLJ76iw2X3UcsRSprHcIXXf1KzJvycgPbm1V6BPyBh9wt3RJ6SPXiFjme0VcsX3WD4sCxYs0IkTJ3TmzBktWbJEoaGh6tSpU06XBQAAcgl6BQC4P7lqKuyDduTIEX3yySeKjY2Vh4eH3njjDXXr1i2nywIAALkEvQIA3B+bCpYzZ87M6RIAAEAuRq8AAPfHpqbCAgAAAACyH8ESAAAAAGAIwRIAAAAAYAjBEgAAAABgCMESAAAAAGAIwRIAAAAAYAjBEgAAAABgCMESAAAAAGAIwRIAAAAAYAjBEgAAAABgCMESAAAAAGAIwRIAAAAAYAjBEgAAAABgCMESAAAAAGAIwRIAAAAAYAjBEgAAAABgCMESAAAAAGAIwRIAAAAAYAjBEgAAAABgCMESAAAAAGAIwRIAAAAAYAjBEgAAAABgCMESAAAAAGAIwRIAAAAAYAjBEgAAAABgCMESAAAAAGAIwRIAAAAAYAjBEgAAAABgCMESAAAAAGAIwRIAAAAAYAjBEgAAAABgCMESAAAAAGAIwRIAAAAAYAjBEgAAAABgCMESAAAAAGAIwRIAAAAAYAjBEgAAAABgCMESAAAAAGAIwRIAAAAAYAjBEgAAAABgCMESAAAAAGAIwRIAAAAAYAjBEgAAAABgCMESAAAAAGAIwRIAAAAAYAjBEgAAAABgCMESAAAAAGAIwRIAAAAAYAjBEgAAAABgCMESAAAAAGAIwRIAAAAAYAjBEgAAAABgCMESAAAAAGAIwRIAAAAAYAjBEgAAAABgCMESAAAAAGAIwRIAAAAAYAjBEgAAAABgCMESAAAAAGAIwRIAAAAAYAjBEgAAAABgiENOF4D0mc1mSVJycnIOV5L7pO4T9k36XPI75nQJuU7qPmHfpJW6T1JfcwDkDfQJGaNPuDuOhemjV8hYZnsFk5luIldKSEjQ0aNHc7oMADaievXqcnJyyukyAGQSfQKAh+1evQLBMpdKSUlRUlKS7OzsZDKZcrocAI8os9mslJQUOTg4yM6OsyOAvII+AcDDktlegWAJAAAAADCEt6cBAAAAAIYQLAEAAAAAhhAsAQAAAACGECwBAAAAAIYQLAEAAAAAhhAsAQAAAACGECyR5zVr1kyLFi3K6TKQA6Kjo+Xl5aWIiAhJ0t69e+Xl5aXr16/ncGUAgNyCPsG20Ss8PARLPDDBwcHy8vKy/Pj5+SkwMFAnTpzI1sdZtWqVevToka3bxIOT+ncxYcKENOsmTZokLy8vBQcH39e2a9WqpfDwcBUqVMhomQCAB4w+ARmhV8ibCJZ4oBo1aqTw8HCFh4dr0aJFcnBw0JAhQ7L1MYoVKyZnZ+ds3SYerFKlSmnjxo26efOmZVl8fLzWr1+v0qVL3/d2nZyc5OrqKpPJlB1lAgAeMPoEZIReIe8hWOKBSv3H6+rqqipVqmjQoEG6cOGCLl++LEm6cOGCRo8eLV9fX9WrV09Dhw5VdHS05f7BwcEaNmyYFixYIH9/f/n5+WnSpElKTEy0jLlzisupU6fUs2dPVa9eXW3atNEPP/wgLy8vbd26VdK/UyLCwsLUt29f1ahRQx06dNDBgwcfzk6BqlatqlKlSiksLMyyLCwsTKVKlVKVKlUsy3bt2qWePXvK19dXfn5+evHFFxUVFZXhdtOb3vLll1+qSZMmqlGjhoYPH66FCxfK19fXsn7WrFl69tlnFRoaqmbNmqlOnToKCgpSTExMpuvgbwoA7g99AjJCr5D3ECzx0MTGxmrt2rUqU6aMihQposTERAUGBqpAgQJatmyZli9fLhcXF73wwgtKSEiw3G/v3r2KiorSZ599pnfeeUdr1qzRmjVr0n2M5ORkDR8+XM7Ozlq5cqUmT56sGTNmpDt2xowZCgwMVGhoqMqWLasxY8YoKSnpgTx3pNWlSxetXr3acvurr75S586drcbcuHFDAwYM0FdffaVFixbJZDJp+PDhSklJydRj/Pjjj3rrrbfUr18/hYaGqkGDBpo7d26acVFRUdq2bZvmzp2refPmaf/+/Zo/f36W6+BvCgDuH30C7kSvkLc45HQBeLTt3LlTtWrVkiTFxcXJ1dVV8+bNk52dndatW6eUlBRNnTrVMh0hJCREdevW1b59++Tv7y9JKly4sCZMmCB7e3tVqFBBTZo00e7du9W9e/c0j/f999/r7NmzWrJkiVxdXSVJQUFBGjBgQJqxAwcOVEBAgCRp1KhRatu2rc6cOaMKFSo8iF2BO3To0EHTp0/XuXPnJEk//fST/vvf/2rfvn2WMa1atbK6z9tvv6369evrt99+U6VKle75GEuXLlXjxo0VGBgoSSpXrpwOHjyonTt3Wo0zm80KCQlRwYIFLbXt3r1bQUFBWaqDvykAyBr6BNwNvULeQrDEA+Xn56eJEydKkq5du6bly5dr0KBBWrlypU6cOKGoqCjVrl3b6j7x8fFWUwcqVqwoe3t7y21XV1edPHky3ceLjIxUyZIlLQcLSfLx8Ul3rJeXl9U2Jeny5cuPxD/svKBYsWIKCAjQmjVrZDabFRAQoGLFilmNOX36tD788EMdPnxYV65ckdlslnRralRmDhaRkZFq3ry51TIfH580Bwt3d3fLgUKS3Nzc9Pfff2e5Dv6mACBr6BNwN/QKeQvBEg+Us7OzypQpY7nt7e0tX19fffnll4qLi5O3t7emTZuW5n63v2g4OFj/mZpMJss/ViMcHR2ttikp09MmkD26dOmiyZMnS5LeeuutNOuHDBkid3d3TZkyRW5ubkpJSVG7du2szp3JDnf+jUmy+hvLbB38TQFA1tAn4F7oFfIOgiUeKpPJJJPJpPj4eHl7e2vTpk0qXry41TtARpQrV05//PGH/vrrLz3++OOSpKNHj2bLtpH9GjVqpMTERJlMJsuUplRXrlxRZGSkpkyZYjmB/sCBA1nafrly5XTs2DGrZVn9e8iOOgAAmUOfgDvRK+QdBEs8UAkJCbp06ZIk6fr161q6dKni4uLUtGlT+fj4aMGCBRo6dKhGjx6tEiVK6Pz589qyZYteeOEFlSxZMsuP17BhQ3l4eOi1117Tq6++qtjYWH3wwQfZ/KyQXezt7bVp0ybL77crXLiwihQpohUrVsjV1VXnz5/X9OnTs7T9Pn36qE+fPlq4cKGaNm2qPXv2aNeuXVm6xHh21AEASB99Au6FXiHv4KqweKC+++47+fv7y9/fX926ddPRo0c1c+ZM+fn5ydnZWUuXLlXp0qU1YsQItWnTRm+88Ybi4+Pv+51Je3t7ffTRR4qLi1PXrl01fvx4y/dh5cuXLzufGrJJwYIF0/3/bWdnpxkzZuj48eNq166dQkJCNHbs2Cxtu06dOpo0aZIWLlyoZ599Vt9995369++fpb+F7KgDAJA++gRkBr1C3mAyZ8ckdCAX+/HHH9WrVy9t2bJFnp6eOV0Octj48eP1+++/6/PPP8/pUgAAuQB9Au5Er3B/mAqLR86WLVvk4uKiMmXKKCoqSlOnTlXt2rU5WNioBQsWqGHDhnJ2dtauXbsUGhqa7sn/AADbQJ+AO9ErZA+CJR45sbGxmjZtms6fP6+iRYuqQYMGeu2113K6LOSQI0eO6JNPPlFsbKw8PDz0xhtvqFu3bjldFgAgh9An4E70CtmDqbAAAAAAAEO4eA8AAAAAwBCCJQAAAADAEIIlAAAAAMAQgiUAAAAAwBCCJQAAAADAEIIl8JAFBwdr2LBhltt9+/bV1KlTH3ode/fulZeXl65fv57hGC8vL23dujXT25w1a5aeffZZQ3VFR0fLy8tLERERhrYDAEBeRJ9wd/QJuRffYwno1ov4mjVrJEmOjo4qVaqUnn32WQ0ZMkQODg/2n8msWbMy/Rh79+5Vv379tH//fj322GMPtC4AAHALfQJwbwRL4H8aNWqkkJAQJSQk6Ntvv9XkyZPl6OioF198Mc3YhIQEOTk5ZcvjFilSJFu2AwAAHhz6BODumAoL/I+Tk5NcXV3l7u6uXr16qUGDBtq+fbukf6elzJkzR/7+/nrmmWckSRcuXNDo0aPl6+urevXqaejQoYqOjrZsMzk5WSEhIfL19ZWfn5/ee+89mc1mq8e9c4pLQkKC3n//fTVp0kTVqlVTixYttHLlSkVHR6tfv36SpLp168rLy0vBwcGSpJSUFM2bN0/NmjWTj4+POnTooM2bN1s9zrfffqtWrVrJx8dHffv21blz57K8j95//321atVKNWrU0NNPP60PPvhAiYmJacZ98cUXatKkiWrUqKHRo0frn3/+sVq/cuVKtW7dWtWrV9czzzyjZcuWZbkWAAAeJvqEe6NPsG18YglkIF++fLp69arl9u7du1WwYEEtXLhQkpSYmKjAwEDVrFlTy5Ytk4ODg/7v//5PL7zwgtauXSsnJyd9+umnWrNmjd5++21VqFBBn376qbZs2aKnnnoqw8cdO3asDh06pPHjx6ty5cqKjo7WlStXVKpUKc2aNUsjR47U5s2bVbBgQeXPn1+SNG/ePK1du1aTJk1S2bJltX//fr366qsqVqyY6tWrpwsXLmjEiBHq3bu3unfvrmPHjundd9/N8j4pUKCAQkJC5ObmppMnT+rNN99UgQIFNGjQIMuYqKgobdq0SXPnzlVMTIzeeOMNTZw4UdOnT5ckrV27VjNnztSECRNUpUoVRURE6M0335SLi4s6deqU5ZoAAMgJ9Alp0SfYNoIlcAez2azdu3crPDxcffr0sSx3cXHRlClTLFNbvv76a6WkpGjq1KkymUySpJCQENWtW1f79u2Tv7+/PvvsMw0ePFgtW7aUJE2aNEnh4eEZPnZkZKQ2bdqkhQsXqkGDBpIkDw8Py/rChQtLkooXL245dyIhIUHz5s3TwoULVatWLct9fvzxR61YsUL16tXT8uXL5enpaXnnsnz58jp58qTmz5+fpX1z+8UEnnjiCUVGRmrDhg1WB4z4+Hi99957KlGihCRp/PjxevHFFxUcHCxXV1fNmjVLwcHBln3i4eGh3377TStWrOCAAQDI9egTMkafYNsIlsD/7Ny5U7Vq1VJiYqLMZrPatWunkSNHWtZXqlTJ6nyJEydOKCoqSrVr17baTnx8vKKiovTPP//o0qVLqlGjhmWdg4ODqlWrlmaaS6qIiAjZ29urbt26ma77zJkzunHjhgYOHGi1PDExUVWqVJEknTp1Sj4+Plbra9asmenHSLVx40YtXrxYZ8+eVVxcnJKSklSwYEGrMaVKlbIcLCSpVq1aSklJUWRkpAoUKKCoqCi98cYbevPNNy1jkpKSVKhQoSzXAwDAw0KfcG/0CbaNYAn8j5+fnyZOnChHR0e5ubmluQKbs7Oz1e24uDh5e3tr2rRpabZVrFix+6ohdcpKVsTFxUm6Nc3l9hdqSdl24QBJOnjwoF555RWNHDlS/v7+KlSokDZs2GCZ8pOVWv/zn/9YHUglyc6OU74BALkXfcLd0SeAYAn8j7Ozs8qUKZPp8d7e3tq0aZOKFy+e5t24VK6urjp8+LDlncWkpCQdP35cVatWTXd8pUqVlJKSov3791umuNzO0dFR0q2T/VNVqFBBTk5OOn/+vOrVq5fuditUqGC5wECqw4cP3/tJ3ubgwYMqXbq0hg4dall2/vz5NOMuXLigixcvWg5ehw4dkp2dncqVK6fHH39cbm5uOnv2rDp06JClxwcAICfRJ9wdfQKI/sB9at++vYoWLaqhQ4fqwIEDOnv2rPbu3aspU6bojz/+kCT169dP8+fP19atW3Xq1ClNmjTprl80/MQTT6hTp04aN26ctm7datnmxo0bJUnu7u4ymUzauXOnLl++rNjYWBUsWFADBw5USEiI1qxZo6ioKB0/flxLliyxfOfWc889p9OnT+vdd9/V77//rnXr1lnWZVaZMmV04cIFbdiwQVFRUVq8eHG6X4qcL18+BQcH68SJEzpw4ICmTJmi1q1by9XVVZI0atQoffzxx1q8eLEiIyP1yy+/6KuvvsrSO5oAAOR29An0CbaGTyyB++Ts7KylS5dq2rRpGjFihGJjY1WiRAnVr1/f8s7kwIEDdenSJb322muys7NTly5d1KJFizSX1b7dxIkT9d///lcTJ07U1atXVbp0act3ZJUoUUIjR47U9OnT9frrr6tjx45655139NJLL6lYsWKaN2+eoqOjVahQIVWtWlVDhgyRJJUuXVqzZs1SSEiIli5dKh8fHwUFBWncuHGZfr5PP/20nn/+eU2ePFkJCQkKCAjQ0KFDNXv2bKtxnp6eatGihQYNGqRr164pICBAb731lmV9t27dlD9/fi1YsEDvvfeeXFxcVKlSJT3//POZrgUAgNyOPoE+wdaYzBmdHQwAAAAAQCYwFRYAAAAAYAjBEgAAAABgCMESAAAAAGAIwRIAAAAAYAjBEgAAAABgCMESAAAAAGAIwRIAAAAAYAjBEgAAAABgCMESAAAAAGAIwRIAAAAAYAjBEgAAAABgCMESAAAAAGDI/wNAMMlHdLMq3AAAAABJRU5ErkJggg==\n"
     },
     "metadata": {}
    }
   ],
   "source": "fig, axes = plt.subplots(1, 2, figsize=(11, 4))\nfor ax, name in zip(axes, classic_results):\n    cm = confusion_matrix(y_test, classic_results[name][\"pred\"])\n    ConfusionMatrixDisplay(cm, display_labels=[str(c)[:8] for c in class_names]).plot(ax=ax, cmap=\"Blues\", colorbar=False)\n    ax.set_title(f\"{name}\\nAcc={classic_results[name]['acc']:.3f}\")\nplt.tight_layout()\nplt.show()\n",
   "id": "classic_cm"
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "s6"
   },
   "source": "## 6. PCA ile Özellik İndirgeme (Kuantum için)\n\nSimülatör / az qubit: görüntüyü **4–8 boyuta** indir.\n\nBu hibrit yaklaşım (klasik özellik + quantum kernel) eğitimde en pratik yoldur.\n",
   "id": "s6"
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "id": "pca",
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "status": "ok",
     "timestamp": 1786333222088,
     "user_tz": -180,
     "elapsed": 304,
     "user": {
      "displayName": "Joseph Volkan ÖZCAN",
      "userId": "11389530967736397480"
     }
    },
    "outputId": "fea75730-9641-4bae-8ea7-226cca21baa1"
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "PCA açıklanan varyans: 56.66%\n",
      "Bileşenler: [0.29  0.14  0.07  0.066]\n",
      "Quantum subset train=120, test=75\n"
     ]
    }
   ],
   "source": "N_QUBITS = 4  # özellik = qubit\n\npca = PCA(n_components=N_QUBITS, random_state=42)\nX_train_pca = pca.fit_transform(X_train_s)\nX_test_pca = pca.transform(X_test_s)\n\nprint(f\"PCA açıklanan varyans: {pca.explained_variance_ratio_.sum():.2%}\")\nprint(f\"Bileşenler: {np.round(pca.explained_variance_ratio_, 3)}\")\n\n# [0, π] açı aralığı\nfrom sklearn.preprocessing import MinMaxScaler\nq_scaler = MinMaxScaler((0, np.pi))\nX_train_q = q_scaler.fit_transform(X_train_pca)\nX_test_q = q_scaler.transform(X_test_pca)\n\n# Hız için subset\nrng = np.random.default_rng(42)\nn_tr = min(120, len(X_train_q))\nn_te = min(80, len(X_test_q))\nidx_tr = rng.choice(len(X_train_q), n_tr, replace=False)\nidx_te = rng.choice(len(X_test_q), n_te, replace=False)\nXq_tr, yq_tr = X_train_q[idx_tr], y_train[idx_tr]\nXq_te, yq_te = X_test_q[idx_te], y_test[idx_te]\nprint(f\"Quantum subset train={n_tr}, test={n_te}\")\n",
   "id": "pca"
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "s7"
   },
   "source": "## 7. Qiskit Quantum Kernel Sınıflandırıcı\n\n`ZZFeatureMap` + `FidelityStatevectorKernel` + SVC  \n(İsteğe bağlı VQC alternatifi yorum satırında)\n",
   "id": "s7"
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "id": "quantum",
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "status": "ok",
     "timestamp": 1786333223388,
     "user_tz": -180,
     "elapsed": 1203,
     "user": {
      "displayName": "Joseph Volkan ÖZCAN",
      "userId": "11389530967736397480"
     }
    },
    "outputId": "861578a7-345b-4090-b9c8-9d975d9d9b0c"
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "     ┌───┐┌───────────┐                                        ┌───┐        ┌───────────┐         »\n",
      "q_0: ┤ H ├┤ P(2*x[0]) ├──■──────────────────────────────────■──┤ H ├────────┤ P(2*x[0]) ├─────────»\n",
      "     ├───┤├───────────┤┌─┴─┐┌────────────────────────────┐┌─┴─┐└───┘        └───────────┘         »\n",
      "q_1: ┤ H ├┤ P(2*x[1]) ├┤ X ├┤ P(2*(π - x[0])*(π - x[1])) ├┤ X ├──■────────────────────────────────»\n",
      "     ├───┤├───────────┤└───┘└────────────────────────────┘└───┘┌─┴─┐┌────────────────────────────┐»\n",
      "q_2: ┤ H ├┤ P(2*x[2]) ├────────────────────────────────────────┤ X ├┤ P(2*(π - x[1])*(π - x[2])) ├»\n",
      "     ├───┤├───────────┤                                        └───┘└────────────────────────────┘»\n",
      "q_3: ┤ H ├┤ P(2*x[3]) ├───────────────────────────────────────────────────────────────────────────»\n",
      "     └───┘└───────────┘                                                                           »\n",
      "«                                                                                                  »\n",
      "«q_0: ──────────────────────────────────────────■──────────────────────────────────────■───────────»\n",
      "«          ┌───┐        ┌───────────┐         ┌─┴─┐┌────────────────────────────┐    ┌─┴─┐         »\n",
      "«q_1: ──■──┤ H ├────────┤ P(2*x[1]) ├─────────┤ X ├┤ P(2*(π - x[0])*(π - x[1])) ├────┤ X ├──────■──»\n",
      "«     ┌─┴─┐└───┘        └───────────┘         └───┘└───────────┬───┬────────────┘┌───┴───┴───┐┌─┴─┐»\n",
      "«q_2: ┤ X ├──■──────────────────────────────────■──────────────┤ H ├─────────────┤ P(2*x[2]) ├┤ X ├»\n",
      "«     └───┘┌─┴─┐┌────────────────────────────┐┌─┴─┐            ├───┤             ├───────────┤└───┘»\n",
      "«q_3: ─────┤ X ├┤ P(2*(π - x[2])*(π - x[3])) ├┤ X ├────────────┤ H ├─────────────┤ P(2*x[3]) ├─────»\n",
      "«          └───┘└────────────────────────────┘└───┘            └───┘             └───────────┘     »\n",
      "«                                                                                \n",
      "«q_0: ───────────────────────────────────────────────────────────────────────────\n",
      "«                                                                                \n",
      "«q_1: ────────────────────────────────■──────────────────────────────────────────\n",
      "«     ┌────────────────────────────┐┌─┴─┐                                        \n",
      "«q_2: ┤ P(2*(π - x[1])*(π - x[2])) ├┤ X ├──■──────────────────────────────────■──\n",
      "«     └────────────────────────────┘└───┘┌─┴─┐┌────────────────────────────┐┌─┴─┐\n",
      "«q_3: ───────────────────────────────────┤ X ├┤ P(2*(π - x[2])*(π - x[3])) ├┤ X ├\n",
      "«                                        └───┘└────────────────────────────┘└───┘\n",
      "\n",
      "⏳ Quantum kernel SVM eğitiliyor...\n",
      "Quantum Kernel SVM → Acc=0.6400  F1=0.6387\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "      Benign       0.67      0.58      0.62        38\n",
      "   Malignant       0.62      0.70      0.66        37\n",
      "\n",
      "    accuracy                           0.64        75\n",
      "   macro avg       0.64      0.64      0.64        75\n",
      "weighted avg       0.64      0.64      0.64        75\n",
      "\n"
     ]
    }
   ],
   "source": "from qiskit.circuit.library import ZZFeatureMap\nfrom qiskit_machine_learning.kernels import FidelityStatevectorKernel\n\nfeature_map = ZZFeatureMap(feature_dimension=N_QUBITS, reps=2, entanglement=\"linear\")\nprint(feature_map.decompose().draw(output=\"text\", fold=100))\n\nquantum_kernel = FidelityStatevectorKernel(feature_map=feature_map)\n\nprint(\"\\n⏳ Quantum kernel SVM eğitiliyor...\")\nqsvc = SVC(kernel=quantum_kernel.evaluate, probability=False, class_weight=\"balanced\")\nqsvc.fit(Xq_tr, yq_tr)\nq_pred = qsvc.predict(Xq_te)\nq_acc = accuracy_score(yq_te, q_pred)\nq_f1 = f1_score(yq_te, q_pred, average=\"weighted\")\nprint(f\"Quantum Kernel SVM → Acc={q_acc:.4f}  F1={q_f1:.4f}\")\nprint(classification_report(yq_te, q_pred, target_names=[str(c) for c in class_names], zero_division=0))\n",
   "id": "quantum"
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "id": "quantum_cm",
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 407
    },
    "executionInfo": {
     "status": "ok",
     "timestamp": 1786333223939,
     "user_tz": -180,
     "elapsed": 452,
     "user": {
      "displayName": "Joseph Volkan ÖZCAN",
      "userId": "11389530967736397480"
     }
    },
    "outputId": "b67ff69d-db55-4423-902f-db0092b701ca"
   },
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 500x400 with 2 Axes>"
      ],
      "image/png": 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ERUWhatWqGDZsWKF1AGDZsmXIzMz817jefLfl69evYWJiorVehQoV3jqRBgDS09ORkZGBTz/9FLNnzwYAfPTRR8jKysKOHTswceJE1K1bFwDw3XffITs7G2PHjn1rm69fv4ZMJtMaT/5+In3GBEn0Frm5uTh48CDc3d2RkJCgLm/WrBk2bNiAmJgYeHp6QqFQ4KOPPnprWwqFAvXq1YOx8dv/2rVq1UpwnBUrVkR2drbWfZmZmahYseK/Hg8A3bt31yjv0aMHduzYgYsXL6Ju3bpISEhAeHg45s6dCzMzs39tMysrS2s8b56TSF8xQRK9xenTp/H06VMcPHgQBw8eLLB///798PT0FPWcSUlJOt2DrFSpkjpJWVtbIzc3F8+fP9cYZs3KysLLly9hY2Pz1rZsbGxw69atAkO0VlZWAPLuiwJ5j3XUqFEDrVu3Vv/C8OzZM3XcCQkJsLOzg5GREaytrfH48eMC53r69Kn6nET6jAmS6C3279+PatWqYe7cuQX2RUdHIzo6GoGBgXBwcMCtW7fe2paDgwMuXbqE7OzsQodDAaB///6C70E2atQIQN79Ui8vL3Wdq1evQqlUomHDhm9tq0mTJvjtt9/w+PFj1K9fX12ef58wP1E+evQI9+/fR6dOnQq0ERgYCAA4d+4cKleujIYNG+LMmTNITU3VmKhz6dIljZiJ9BUTJFEhXr9+jaioKHz88cf4+OOPC+y3sbHBgQMHcOzYMXz00Uf45ptvEB0dXeA+pEqlgkQiwUcffYTjx49j+/btGpN03qwDFO0e5Pvvv48qVaogIiJCI0FGRETA1NQU7du3V5clJSXhxYsXsLOzU8+C/eSTT/Ddd99h165d8PDwUNfdtWsXjI2N0bp1awDApEmT8PLlS404bt68ia+//hqjRo2Ci4uLus2PP/4YGzZswI4dO+Dj4wMgr0e7Z88eNG/enDNYSe8xQRIV4tixY0hLS0PHjh217m/RogWsrKywb98+fPXVV/jvf/+LSZMmoV+/fmjSpAlevXqFY8eOITAwEA0bNkTv3r0RGRmJkJAQXL58Ga1atUJGRgZiYmIwePBgda+sqPcgJ06ciKCgIEycOBFt27ZFbGws9u3bh8mTJ6NKlSrqutu3b8eaNWuwZcsW9cSjxo0bo1+/fti9ezdyc3Ph5uaGs2fP4ueff8bYsWNRo0YNAND6zKOFhQUAwNnZWaNn2bx5c3z88cdYsWIFnj9/jjp16mDv3r14+PAhFi5cKPg7EpU0JkiiQuzbtw8VKlTABx98oHW/kZER2rdvj/379yMrKwvbt29HaGgooqOjsXfvXlSrVg0eHh7q5CKVSrF+/Xp8++23OHDgAKKiolClShW0bNkScrn8neMdOnQoTExMsGHDBhw7dgy2trb48ssv8dlnn+l0fGBgIOzs7LBnzx4cOXIEdnZ2BR5JEWrp0qVYtWoV9u3bh1evXkEul2PdunVwc3MrcptEJUWievMBLCIiIgLAxcqJiIi0YoIkIiLSggmSiIhICyZIIiIqU8LCwtCvXz+4uLjAw8MD48ePx927dwvUu3DhAoYPH44WLVqgZcuWGDp0qKAlDjlJh4iIyhQfHx9069YNzs7OyM3NxYoVK3Dr1i0cPHgQlSpVApCXHEeNGoWxY8eiQ4cOkEqluH79Ojp16qR1jWBtmCCJiKhMS0pKgoeHB7Zt26Z+hGjgwIFo06YNvvjiiyK3y+cg9ZRSqUROTg6MjIw03vRARCQmlUoFpVIJY2NjGBm9+103pVKJovS7srOzkZOTo1Emk8l06u2lpKQAACwtLQEAz58/x6VLl9CjRw98+umnUCgUqF+/Pr744otCX/CtDROknsrJycGVK1dKOwwiKiecnZ11HnosjFKpxInoGFSuLvxNLVlZWRg9erTGW2neXG/4bedctGgRWrZsCScnJwDAgwcPAABr1qzB9OnT0ahRI0RGRmLEiBE4cOCA+tVt/4YJUk/l/ya3Y+0d5GRxFPxNxjIJBo135LUpxIDx7qUdgh5SQiZ7gaysquDcxH/KuzZi9B5VKhUqV6+IBd2i8Dot598P+EtFM2PMOfgRfvvtN0ilUnW5Lgk7MDAQt27dwg8//KAuUyqVAIBBgwahX79+APKWU4yJicHu3bsxZcoUneJigtRT+cOqOVkqZGcpSzkafZP3F5nXpjBMAIUzAq+PdmLeynmdnoPMdN0TJP46tbm5uUaC/DdBQUE4fvw4tm3bhpo1a6rLra2tAQCOjo4a9R0dHZGYmKhz+/xJISIiUUkkEkiMBHwEJmeVSoWgoCBER0dj8+bNGm+2AYBatWrBxsYG8fHxGuX37t2Dvb29zudhD5KIiMqUwMBAHDhwAGvXroWZmZn6JdwWFhaoWLEiJBIJfHx8EBoaioYNG6JRo0bYu3cv7t69i9WrV+t8HiZIIiISlUSS9xFSX4iIiAgAgLe3t0Z5SEgI+vbtCwAYMWIEsrKyEBISglevXqFhw4bYsGEDHBwcdD4PEyQREYmrmDPkjRs3dKo3ZswYjBkzRlDbb2KCJCIiURV3D7KkMEESEZGo8iffCKmvj5ggiYhIXAbShWSCJCIiURlIfmSCJCIicUkkwp5t1Nf1ppkgiYhIXBKoV8fRub4eYoIkIiJRSYyETbyR6OmabnoaFhERUeliD5KIiETFSTpERETaGEiGZIIkIiJRGUh+ZIIkIiJxcSUdIiIibQykC8kESUREopJAYH4stkjeDRMkERGJiivpEBERacOVdIiIiLQQOEkHejpJhyvpEBERacEeJBERiYtDrERERAVxkg4REZEWTJBERETaGEHYDBc9nQ3DBElERKJiD5KIiEgLA1lpjgmSiIhEZiAZkgmSiIhEZSD5UV9vjRIRUVmV/7orIR8hwsLC0K9fP7i4uMDDwwPjx4/H3bt3tdZVqVQYNWoU5HI5jhw5Iug8TJBERCSu/C6kkI8AZ8+exdChQ/HTTz9h48aNyMnJgY+PD9LT0wvU3bx5c5EnAXGIlYiIypTw8HCN7cWLF8PDwwPXrl2Dm5ubujwuLg4bNmzA7t274enpKfg8TJBERCSqkr4HmZKSAgCwtLRUl2VkZGDKlCmYO3curK2ti9QuEyQREYmqqM9BpqamQiqVqstlMhlkMtlbj1UqlVi0aBFatmwJJycndXlISAhcXFzQqVMngdH/jQmSiIjEJYGwGS5/5VIvLy9kZGSoi/38/ODv7//WQwMDA3Hr1i388MMP6rKjR4/i9OnT2Lt3r4AgCmKCJCIiURW1B3nixIkCPci3CQoKwvHjx7Ft2zbUrFlTXX769GkoFAqN+5EA4O/vD1dXV2zdulWnuJggiYhIVEVNkObm5hoJsjAqlQoLFixAdHQ0tm7ditq1a2vsHzNmDAYMGKBR1qNHD3z55Zfo0KGDznExQRIRkagkRnkfIfWFCAwMxIEDB7B27VqYmZnh6dOnAAALCwtUrFgR1tbWWifm2NnZFUimb8MESURE4irmaawREREAAG9vb43ykJAQ9O3bV1Bbb8MESUREoiruxzxu3Lgh7IAiHsMESUREohK6fJzQpeZKCpeaIyIi0oI9SCIiEpeBvM6DCZKIiERlIPmRCZKIiMSV95iHkHuQxRjMO2CCJCIicRlIF5IJkoiIRGUg+ZEJkoiIxGUoj3kwQRIRkfj0M+cJwgRJRETiErhYub6OsTJBEhGRqAxliFVPJ9cSERGVLvYgiYhIVJzFSkREpI2BZEgmSCIiEpWh3INkgiQiIlEZSAeSCZKIiERmIBmSCZKIiEQlEfgcpKBnJksQEyQREYkq720ewurrIyZIIiISF4dYiYiICjKQ/MgESfqpU89GaOZaCzZ2FsjOysW9W8+w/8fLePIoBQAglUrRa2gLODWugSrVKyEtORNXzj/EoZ1X8Toju5Sjp9ISf+ERTv5wGQ9vPEfKs3QMC+mEJl51Neo8ufcCP689h7sXHkGZq4JN3SoYtqgTqtQ0L52gDRAf8ygnOnbsiOHDh2PEiBGlHUq54tjQGqeO3ILiThKMpEboNtAZvgFeWDz9MFQqFUxMTGBZxRT/98Ml/PnwFayqm2HASFdUrmqKTV//XtrhUynJep0D2wbV4Npdjm1fHimw/3lCMtb5HoBbDyd08mmJCmYyPI5/AWOZtBSiJX1XZhNkQEAA9u7dq96uUqUKmjZtimnTpqFhw4ainWfXrl0wNTUVrT3STdjSkxrbP4SdxcJ1vVGrnhUe3H2O169fY/s3V5GdpQQAPH+ShoM/XYb3+PdhZCSBUqkqjbCplMk9akPuUbvQ/VFh5yH3qI1PJriry6rVqlwSoZUvBjLGqqdzh3TTtm1bnDp1CqdOncKmTZtgbGwMX19fUc9hZWXFBKkHTCuZAADSU7PeUkeG1xnZTI6klVKpwvWYB6juYIkNXxxGcNdt+GbU/+HaiXulHZrBkeDvHKnTp7QDLkSZTpAymQzW1tawtrZGo0aNMHr0aDx69AhJSUkAgEePHmHSpElwdXVF69atMW7cOCQkJKiPDwgIwPjx4xEeHg5PT0+4u7sjMDAQ2dl/38Pq2LEjNm3apN6+c+cOBg8eDGdnZ3Tt2hW///475HI5jhzJG85JSEiAXC5HVFQUvL290bx5c/Ts2RMXLlwomYtigCQSoI+3C+7eeIo/E15prWNmLsNHfRrj92N3Szg6KitSkzKRlZ6DE1svwen9Whi56hM0aVcX22cewd0Lj0o7PIOSfw9SyEcfldkh1n9KS0vDvn37UKdOHVSpUgXZ2dnw8fFBixYtsH37dhgbG2Pt2rUYNWoU9u3bB5lMBgA4c+YMrK2tsXnzZigUCkyePBmNGjXCwIEDC5wjNzcXEyZMgJ2dHXbu3InU1FQsWbJEazwrV67EjBkzUKdOHaxcuRJTpkxBVFQUjI2FXXJjmQRl/PeYd9bXuyVsa1ti7aJfYCIz+uua/H1tKlQ0xpip7fAkMRlHD/wBE1n5vl6AsrQD0CMq5F0PJVSqvJGFxm0d4PlpEwCAnVNVKK7+iTN7/0B9lxqlF2apKoafFwMZYi3TCfL48eNwcXEBAKSnp8Pa2hphYWEwMjLC/v37oVQqsXDhQvUqDSEhIXBzc8PZs2fh6ekJALC0tMTcuXMhlUrh6OgILy8vxMTEaE2Qv/32Gx48eICtW7fC2toaADB58mR8/vnnBeqOHDkS7du3BwBMnDgR3bp1w/379+Ho6CjoOw4aL6y+obG3rwXLypa4fecWun9mr7Fv0HhHGBkZwbG+I5RKFV7EP8Bg//J9vfI8L+0A9IaxSQpksrzrYVSlAoykEtg6ytRlAFCzfgXEX0zSKKN3U9z5MSwsDFFRUbh79y4qVqwIFxcXTJ06FfXr1wcAvHz5EqGhoTh16hQePXoEKysrdOrUCZMmTYKFhYXO5ynTCdLd3R3z588HALx69QoREREYPXo0du7cievXr0OhUKBly5Yax2RmZkKhUKi3GzRoAKn07xls1tbWuHnzptbzxcfHo2bNmurkCADNmjXTWlcul2u0CQBJSUmCE+SOtXeQk1U+76n1HuYCmYM5Vs49imePU9XlxjIJBo13ROSG+/jcvy3+fJCO8JWnkJ2VW4rR6o8B493/vVI5kZNtgaysagCUkMleoFaj6vgzPvuvsjyP72XBskYVjbLyJe/aiKm4H/M4e/Yshg4dCmdnZ+Tm5mLFihXw8fHBwYMHUalSJTx58gRPnjzBjBkz0KBBAzx8+BDz58/HkydPsHr1ap3PU6YTpKmpKerUqaPebtKkCVxdXfHTTz8hPT0dTZo0wfLlywscZ2Vlpf7zP4c8JRKJeijmXZiYmGi0CQBKpfChjJwslXqmZnnSf0QrtHzfAd+vOIXU5CxUNM0bEn+dno2cLBWMjIzw+cS2MDGRYss3MZBKpZCa5v2ik5qcKcp/w7Kr/A4xZ6Zn43lCsnr7xaNUJN58gUqVTWDjALQb6oyIOcdRr4Ut6reyxc3TCbj+2wOMXtMN5fm6ia2412INDw/X2F68eDE8PDxw7do1uLm5wcnJCaGhoer9Dg4O+OKLLzBt2jTk5OTofKurTCfIf8r/j5KZmYkmTZrg8OHDqFatGszNxXkAuF69evjzzz/x7NkzVK9eHQBw5coVUdomTZ6dGwAA/Od01Cj/IewMLpxWoJJpJdRxzPuNf87K7hp1gibtR9Kz9JIJlPTKw+tPsd7vkHr74OozAICWXRtgaFATNPGqi97TP8DxLZewf2UMrOtYYujCTqjbvGZphWyYJBA2NfUdb0GmpOQtIGJpaVlondTUVJibmwuaB1KmE2RWVhaePn0KAEhOTsa2bduQnp6ODh06oFmzZggPD8e4ceMwadIk1KhRA4mJiYiOjsaoUaNQs6bwvxAffPABateujRkzZmDatGlIS0vDqlWrRP5WBABfDN1R6D4TmRFS01Ix7fOd5bJ3TYWr39IOIb+P0rJHifx7s67d5XDtLtdSh8RS1CHW1NRUjVteMplMPaGyMEqlEosWLULLli3h5OSktU5SUhLWrl2LQYMG6RwTUMYT5K+//qqebGNmZob69evj66+/hrt73j2Ybdu2Yfny5fDz80NaWhpq1KgBDw+PIvcopVIpvvnmG8yePRv9+/dH7dq1MX36dPj6+qJChQqifS8iovLIy8sLGRkZ6m0/Pz/4+/u/9ZjAwEDcunULP/zwg9b9qampGDt2LBwdHeHn5ycoHomqfN+seWfnz5/HkCFDEB0dDQcHB9Hazc3NxcWLF7F91W32kv7BRGaEoV804LUpxJAvPijtEPSQEjLZ878m4vBeo6a8a9OiRQuN3ltR5P+7FbH6jqC/myYyIwye6Fhg0uS/9SCDgoJw9OhRbNu2DbVrF1xBKTU1FaNGjULFihURFhYmuCNTpnuQpSE6OhqVKlVCnTp1oFAosHDhQrRs2VLU5EhEVKYZARAyM/Wv31nMzc11StIqlQoLFixAdHQ0tm7dWmhy9PHxgUwmw7ffflukUT4mSIHS0tKwfPlyJCYmomrVqmjTpg1mzJhR2mEREemN4n4OMjAwEAcOHMDatWthZmamnotiYWGBihUrIjU1FSNHjkRGRgaWLVuG1NRUpKbmPSpmZWWlc0+ZCVKg3r17o3fv3qUdBhGR3sp7okBYfSEiIiIAAN7e3hrlISEh6Nu3L65du4ZLly4BADp37qxR5+jRo6hVq5ZO52GCJCIicRlJhN3qFbhQwI0bN966393d/V/r6IIJkoiIRKeny6sKwgRJRESiynsOUlh9fcQESURE4hL6kkc97W4yQRIRkaiKe5JOSeETs0RERFqwB0lERKKSGEHgPcjii+VdMEESEZGoDGWIlQmSiIjExUk6REREBXGIlYiISAsOsRIREWlTzEvNlRQmSCIiEhV7kERERFoU9+uuSgoTJBERictAhlj1dO4QERFR6WIPkoiIRCWBwHuQgh6aLDlMkEREJCregyQiItLGQO5BMkESEZGo+JgHERGRFhIjicCl5pggiYioPJBA4GLlxRXIu2GCJCIiUXGIlYiISAsOsRIREWmR95iH7klPTzuQTJBERCQyA7kHyaXmiIiItGAPkoiIRCV8kk7xxfIu2IMkIiJR5S81J+QjRFhYGPr16wcXFxd4eHhg/PjxuHv3rkadzMxMBAYGwt3dHS4uLvD398ezZ88EnUenHuTRo0d1bvDDDz8UFAARERmW4l6L9ezZsxg6dCicnZ2Rm5uLFStWwMfHBwcPHkSlSpUAAIsWLcKJEyewatUqWFhYYMGCBfDz88OPP/6o83l0SpATJkzQqTGJRIK4uDidT05ERAZI4BCr0Ek64eHhGtuLFy+Gh4cHrl27Bjc3N6SkpGD37t1Yvnw5PDw8AOQlzK5du+LixYto0aKFTufRKUFev35dWPRERFRulfTbPFJSUgAAlpaWAICrV68iOzsbbdq0UddxdHSEnZ2d+AmyMJmZmahQocK7NEFERAamqJN0UlNTIZVK1eUymQwymeytxyqVSixatAgtW7aEk5MTAODZs2cwMTFB5cqVNepWq1YNT58+1TkuwZN0cnNz8c0336Bt27ZwcXHBgwcPAACrVq3Czp07hTZHREQGRgKBk3T+Os7LywutWrVSf8LCwv71XIGBgbh16xZWrlwp+vcQ3IP89ttvERkZiWnTpmHOnDnqcicnJ2zevBkDBgwQNUAiIipbitqDPHHiRIEe5NsEBQXh+PHj2LZtG2rWrKkur169OrKzs5GcnKzRi3z+/Dmsra11jktwD/L//u//sGDBAvTs2RNGRn8fLpfLC0yzJSKi8qeoj3mYm5trfApLkCqVCkFBQYiOjsbmzZtRu3Ztjf1NmzaFiYkJYmJi1GV3795FYmKizvcfgSL0IB8/fgwHBwetAefk5AhtjoiISJDAwEAcOHAAa9euhZmZmfq+ooWFBSpWrAgLCwv069cPixcvhqWlJczNzREcHAwXF5fiTZANGjRAbGws7O3tNcp//vlnNGrUSGhzRERkYCSQFOtSrBEREQAAb29vjfKQkBD07dsXADBz5kwYGRlh4sSJyMrKgqenJ+bNmyfoPIIT5Pjx4xEQEIDHjx9DpVIhKioK8fHxiIyM1OmGKhERGbbifszjxo0b/1qnQoUKmDdvnuCk+CbB9yA7deqEdevWISYmBqampli9ejXu3LmDdevW4YMPPihyIEREZBiKe6m5klKk5yBdXV2xceNGsWMhIiIDYCiLlRd5oYArV67gzp07APLuSzZt2lS0oIiIqOwq6ZV0iovgBPnnn3/iP//5D/73v/+pny9JTk6Gi4sLVq5cqfEsChERlUNvPv2vU/1ii+SdCL4HOWvWLOTk5ODQoUM4e/Yszp49i0OHDkGlUmHWrFnFESMREZUh5fYe5Llz5/Djjz+ifv366rL69etj9uzZGDp0qKjBERFR2VNu70Ha2tpqXRBAqVTCxsZGlKCIiKjsMpR7kIKHWKdNm4YFCxbgypUr6rIrV65g4cKFmDFjhqjBERERlRadepBubm6QvJHi09PTMXDgQPWisrm5uZBKpZg5cyY6depUPJESEVGZUK6GWGfOnFnccRARkYEwlCFWnRJknz59ijsOIiIyEBIYxFMeRV8oAAAyMzORnZ2tUWZubv5OARERUdlWroZY35Seno7ly5fj8OHDePnyZYH9cXFxYsRFRERlldBnG/U0QQqexbps2TKcPn0a8+fPh0wmQ3BwMPz9/WFjY4MlS5YUR4xERFSG5PUghX30keAE+csvv2DevHno0qULpFIpXF1dMX78eEyePBn79+8vjhiJiKgMMZSVdAQnyFevXqF27doA8u43vnr1CgDQqlUrxMbGihsdERGVOeW2B1mrVi0kJCQAyFti7vDhwwDyepYWFhbiRkdERGWOBAJ7kKUdcCEEJ8h+/frh+vXrAIAxY8Zg+/btcHZ2RkhICHx8fEQPkIiIyhZDGWIVPIt1xIgR6j+3adMGhw8fxrVr1+Dg4ICGDRuKGRsREVGpeafnIAHA3t4e9vb2YsRCREQGoFw9B7llyxadGxw+fHiRgyEiorKvXC01t2nTJp0ak0gkTJBEROVcuepBHjt2rLjjoEIs/r6v+q0plCc3NxdXrl7mtSnEhybzSzsEvVPBzBiLTnTD/M5bkJlW8H225Vn+tRGVgSzG+s73IImIiN5UrnqQREREumKCJCIi0qJcTdIhIiLSlaH0IAWvpENERPQ2JbGSzrlz5+Dr6wtPT0/I5XIcOXJEY39aWhqCgoLQrl07NGvWDF27dkVERISgcxQpQcbGxmLq1KkYNGgQHj9+DACIjIzkYuVERFQi0tPTIZfLMW/ePK37Fy9ejF9//RXLli3DoUOH8Nlnn2HBggU4evSozucQnCD/+9//wsfHBxUrVsQff/yBrKwsAEBqairCwsKENkdERAamJN7m4eXlhcmTJ6Nz585a91+4cAG9e/eGu7s7atWqhUGDBqFhw4a4fPmyzucQnCC//fZbBAYGIjg4GMbGf9/CbNmyJf744w+hzRERkYHJGzYVkiDzjktNTdX45HfAisLFxQXHjh3D48ePoVKpcPr0acTHx8PT01PnNgRP0omPj4erq2uBcgsLCyQnJwttjoiIDExRZ7F6eXkhIyNDXe7n5wd/f/8ixTBnzhzMmTMH7dq1g7GxMSQSCYKDg+Hm5qZzG4ITZPXq1aFQKFCrVi2N8vPnz6tfpExEROWX0GHTvKoqnDhxQmN1LJlMVuQYtm7diosXL+Lbb7+FnZ0dYmNjERgYCBsbG7Rp00anNgQnyIEDB2LhwoVYtGgRJBIJHj9+jAsXLmDJkiUYP3684C9BREQGxkgCiZD144wAQAVzc3NRlo98/fo1Vq5ciTVr1qB9+/YAgIYNGyIuLg7h4eHFlyDHjBkDpVKJESNGICMjA8OGDYNMJsPIkSPh7e0ttDkiIjIwEoFrsYr9HGROTg6ys7ML9GKlUilUKpXO7QhOkBKJBOPGjYOPjw8UCgXS09Ph6OgIMzMzoU0REZEBkkDYTcii5Me0tDQoFAr1dkJCAuLi4mBpaQk7Ozu0bt0ay5YtQ8WKFWFnZ4dz584hMjISAQEBOp+jyCvpyGQyNGjQoKiHExGRgRLaIyxKD/Lq1asar1cMCQkBAPTp0weLFy/GihUrsGLFCkydOhWvXr2CnZ0dJk+ejMGDB+t8DsEJ0tvb+603X4W8XJmIiAyPROAYa1ESpLu7O27cuFHofmtra3XSLCrBCbJRo0Ya2zk5OYiLi8OtW7fQu3fvdwqGiIhIXwhOkDNnztRaHhoaivT09HcOiIiIyraS6EGWBNEWK+/Zsyd2794tVnNERFRGlcRi5SVBtNddXbhw4Z0e6iQiIgMh+DmPYovknQhOkH5+fhrbKpUKT58+xdWrV7lQABERGcwQq+AEaWFhobEtkUhQr149TJw4UdAisEREZJhK4jGPkiAoQebm5qJv375wcnKCpaVlccVERERlmMRIAqjKfg9S0CQdqVSKkSNH8q0dRERUKEOZpCN4Fut7772HhISE4oiFiIgMQEm8MLkkCE6QX3zxBZYsWYJffvkFT548KfCCSyIiKt8MJUHqfA9yzZo1GDlyJMaMGQMAGDdunMaXUqlUkEgkiIuLEz9KIiKiEqZzgvzmm28wePBgrrVKRERvVe5msea/Q6t169bFFgwREZV95fI5SH0dJyYiIv1RLhNkly5d/jVJnj179p0CIiKisq3cDbECgL+/f4GVdIiIiN5ULnuQ3bp1Q7Vq1YorFiIiMgj6++iGEDonSEP4skREVPwMJV0InsVKRET0NhIjga+70lM6J8jr168XZxxERGQgyl0PkoiISBcSGEYPUvBarEREROUBe5BERCSust95BMAESUREIhP6HKS+YoIkIiJRcZIOERGRFnkJUkiW1M/HCJkgiYhIVIbSg+QsViIiEpVEIhH8EercuXPw9fWFp6cn5HI5jhw5UqDOnTt34Ovri1atWqFFixbo168fEhMTdT4He5BERCSqkuhBpqenQy6Xo1+/fvDz8yuwX6FQYMiQIejXrx8mTpwIc3Nz3Lp1CxUqVND5HEyQREQkKuGzWIVnVC8vL3h5eRW6f+XKlWjXrh2mT5+uLnNwcBB0Dg6xEhGRqCQS4R8ASE1N1fhkZWUV6fxKpRLHjx9H3bp14ePjAw8PDwwYMEDrMOzbMEESEZFe8PLyQqtWrdSfsLCwIrXz/PlzpKenY/369Wjbti02bNiAzp07w8/PD2fPntW5HQ6xEhGRqIp6D/LEiROQSqXqbZlMVqR2lEolAODDDz/EiBEjAACNGjXC//73P/z4449o3bq1Tu0wQRIRkaiEL1aeV9fc3FwjQRZV1apVYWxsDEdHR41yR0dHnD9/Xud2mCCJiEhUpf0cpEwmg7OzM+Lj4zXK7927B3t7e53bYYIkIiJRlcQs1rS0NCgUCvV2QkIC4uLiYGlpCTs7O/j4+GDy5Mlwc3ODu7s7fv31V/zyyy/YsmWLzudggiQiIlGVRA/y6tWrGD58uHo7JCQEANCnTx8sXrwYnTt3xvz58/Hdd98hODgY9erVw+rVq+Hq6qrzOZggiYhIVCXRg3R3d8eNGzfeWqd///7o37+/4LbzMUESEZHohPQiVfq5VjkTJBERiUv4+qoSvUySTJBERCSuorwvWQ8TJFfSISIi0oI9SCIiElWRhliLLZqiY4IkIiJRvbkAeVnGBElERKIqSg9SHzFBEhGRqIoyR0cfMUESEZGo2IMkIiLSgvcgiYiItDCUHqTBPAeZkJAAuVyOuLg4AMCZM2cgl8uRnJxcypFRUVz+9R5m9f4BAx2W40OT+Tj1f3Ga+48lIqDbdvSusQQfmszH7YuPSilS0ieDp3vim5jR2J/0JXY9nIagXZ+illO1AvUav18Ly6M+w4GXM7Hv+ZdYeexzyCqyvyCW/B6kkI8+KtUEGRAQALlcjrlz5xbYFxgYCLlcjoCAgCK17eLiglOnTsHCwuJdw6RSkJGWDcdmNTBxdTet+7MyctG0TW2MXtSphCMjfdasXV3s+/Yc/Dy/x/RPtkBqYoSlh7xRoZKJuk7j92sh5MAwxEbfwYQ26zHe4ztErj0LlVIfn8QrmwwlQZb6r0y2trY4dOgQZs6ciYoVKwIAMjMzceDAAdjZ2RW5XZlMBmtra7HCpBLm/vF7cP/4vUL3u3arDeemzfD0AUcI6G9fdt+msb3UJxJ7Hk3Hey1s1WXjln+MvWvO4Mdlp9RlCTefl1iMVHaU+hBr48aNYWtri6ioKHVZVFQUbG1t0ahRI3XZyZMnMXjwYLi6usLd3R1jx47VeFnmP2kbYv3pp5/g5eWF5s2bY8KECdi4caPGu8FCQ0PRq1cvREZGomPHjmjVqhUmT56M1NRUnePIH+qNioqCt7c3mjdvjp49e+LChQvvfK2ISBgzy7xfulNeZAAALKtXQmP3Wnj5NA2rT/pgV8JUrDg6Ak0/cCjNMA1O/j1IIR99VOoJEgD69euHPXv2qLd3796Nvn37atTJyMjA559/jt27d2PTpk2QSCSYMGEClEqlTuc4f/485s2bh+HDhyMyMhJt2rTBunXrCtRTKBQ4evQo1q1bh7CwMJw7dw7r168XHMfKlSvh4+ODyMhI1K1bF1OmTEFOTo6Qy0JE70AikWDCVx/jym8K3I97CgCoWbcqAOCzOe1xMPw8Arpvw60Lj7Dsv8Nh38CqNMM1KBxiFVHPnj3x1Vdf4eHDhwCA//3vf1ixYgXOnj2rrtOlSxeNYxYtWgQPDw/cvn0bTk5O/3qObdu2oV27dvDx8QEA1KtXDxcuXMDx48c16qlUKoSEhMDc3FwdW0xMDCZPniwojpEjR6J9+/YAgIkTJ6Jbt264f/8+HB0ddbgif8vNzRVU31AplUr1tXjz/3NzlQX2l3cVzPTir3Wpm/DVJ6jnbIOpH29GhUp51yT//w9vuoDju64CADbMO4pWneqj++hW2BT0S6nFW1ryr4mYDGUWq178TbKyskL79u2xd+9eqFQqtG/fHlZWmr/N3bt3D6tXr8alS5fw4sULqP56edijR490SpDx8fHo1ElzQkezZs0KJEh7e3t1cgQAGxsbPH/+9/0JXeOQy+XqP+ffC01KShKcIP+IuyaovqG6r7iPylezNMr+iLuGpMR0AMCt27eQLn1SGqHpnUUntE9sKk/s7WvBsrIlbt+5hSkR7dTlw5e0BAC8398e8k5/X6cq9jJ0+rwRnD6sVOKxkv7SiwQJ5A2zBgUFAQDmzZtXYL+vry/s7e0RHBwMGxsbKJVKdO/eHdnZ2aLGYWxc8JKo3niTp65xmJj8PWsu/zcpXYeD39S4URNIpVLBxxmW/0MdhzpwbtoQQF7P8Y+4a2jcqAmemqcAiMZ7Dd6DY9OapRumnuhRLaS0QyhV45Z2Qa3uFTD+/fVIvPsCQF4vad7hLpj14X6sj62N3396gK0LT6iPCT05CrHRd7B5QfnsQc473OXfKwrAHqTI2rZti+zsbEgkEnh6emrse/HiBeLj4xEcHKyeVBMbGyuo/Xr16uHq1asaZVeuXBHUhhhxCCWVSstlgsxIzcTD20nq7Sf3kxF/5QksrExR3d4C6a+ycO/qU7x4nAYAeHj7BYyMjGBV0xxWNcv3oz2ZaeX3XvfE0G7oMNAZc/pG4OWTDFQyz5ukk3//PzM9Bzu++h2fzW2Pm7GPcPvSn/jIuzlqvVcN8wbsKNfXTkz6fF9RCL1JkFKpFIcPH1b/+U2WlpaoUqUKduzYAWtrayQmJuKrr74S1P6wYcMwbNgwbNy4ER06dMDp06dx8uRJQb/liBEH6ebG+URM6bRZvf3ttP8CAD7ybo6p63vi6sk/sSPwsHp/8NBdAIDhc7zw2dwOJRss6Y1evm4AgJXHPtcoXzF+n/rPe1afhqyCMcYt7wILK1PcvfwY0z/Zikd/9TaJ8ulNggSgce/vTUZGRli5ciWCg4PRvXt31KtXD7Nnz4a3t7fObbdq1QqBgYFYs2YNVq1aBU9PT4wYMQLbt2/XuQ0x4iDdtPCqh6PZ87Xuy83NReseDvD5snu57F1T4T40ma+1vIKZMTqOra3e/nHZKY3nIElchtKDlKjevMFWzsyePRt3797FDz/8UNqhFJCbm4uLFy/CuWkzJoF/yM3NxZWrl3ltClFYkijPKpgZY9GJbpjpdZDDqP+Qf21atGjxzn+f8v/dqlqlDiQS3Z8iVKmUePHyvigxiEkvnoMsKeHh4bh+/Tru37+PrVu3IjIyEn369CntsIiIDIukCB89pFdDrMXt8uXL+P7775GWlobatWtj1qxZGDBgQGmHRUREeqhcJcivv/66tEMgIioXhNyD1NcbfeUqQRIRUfGT/PU/IfX1Ubm6B0lERCWgBO5Bnjt3Dr6+vvD09IRcLseRI0cKrTt37lzI5XJs2rRJ0DmYIImISFQlMUcnPT0dcrlc68prb4qOjsalS5dgY2Mj+BwcYiUiIlEJXWquKK+78vLygpeX11vrPH78GAsWLEB4eDjGjh0r+BxMkEREJC6h3cK/6qampmo8BymTySCTyYoUglKpxLRp0+Dj44P33iv85etvwwRJRESiKmJ+hJeXFzIyMtTlfn5+8Pf3L1IM69evh7GxMYYPH16k4wEmSCIiEllRh1hPnDhRoAdZFFevXsWWLVuwZ8+eIg3f5mOCJCIivWBubi7KUnOxsbF4/vw5OnT4+8UFubm5WLJkCbZs2YJjx47p1A4TJBERGZRevXqhTZs2GmU+Pj7o1asX+vbtq3M7TJBERCQqoW/zKMooaFpaGhQKhXo7ISEBcXFxsLS0hJ2dHapWrapR38TEBNWrV0f9+vV1PgcTJBERiSovQQq5Byn8HFevXtWYgBMSEgIA6NOnDxYvXiy8QS2YIImIqMxxd3fHjRs3dK6v633HNzFBEhGRqEpiiLUkMEESEZGoDGWxciZIIiISV1FXCtAzTJBERCQqDrESERFpYSAdSCZIIiISmYF0Ifk+SCIiIi3YgyQiIlFxiJWIiEgLAxlhZYIkIiKRGUiGZIIkIiJRcYiViIhICwPpQDJBEhGR2AyjD8kESUREojKUHiSfgyQiItKCPUgiIhKVofQgmSCJiEhkhnEPkkOsREREWrAHSURE4hI4xKqnHUj2IImIiLRhD5KIiMRlGLcgmSCJiEhckr/+J6S+PuIQKxERkRbsQRIRkagkEPgcZLFF8m7YgyQiItKCPUgiIhKXgSylwx4kERGJSlKEj1Dnzp2Dr68vPD09IZfLceTIEfW+7OxsLFu2DD169ECLFi3g6emJ6dOn4/Hjx4LOwQRJRERlTnp6OuRyOebNm1dg3+vXr/HHH39g3Lhx2LNnD9asWYP4+HiMGzdO0Dk4xEpEROIqgecgvby84OXlpXWfhYUFNm7cqFE2Z84cDBgwAImJibCzs9PpHEyQREQkKn1cJyA1NRUSiQSVK1fW+RgmSCIiElcRJ+mkpqZCKpWqi2UyGWQy2TuHk5mZieXLl6Nbt24wNzfX+TgmSCIi0gteXl7IyMhQb/v5+cHf3/+d2szOzsakSZOgUqkQGBgo6FgmSCIiElVRh1hPnDhRoAf5LrKzs/HFF18gMTERmzdvFtR7BJggiYhIbEXMkObm5hoJ8l3kJ8f79+9jy5YtqFq1quA2mCCJiEhUJbFYeVpaGhQKhXo7ISEBcXFxsLS0hLW1NSZOnIg//vgDYWFhyM3NxdOnTwEAlpaWOvdMmSCJiEhcJTCN9erVqxg+fLh6OyQkBADQp08f+Pn54dixYwCAXr16aRy3ZcsWuLu763QOJkgiIhJVSTzm4e7ujhs3bhS6/237dMWVdIiIiLRgD5KIiMSljysFFAETJBERicwwMiQTJBERicow0iMTJBERic1AMiQTJBERicpA8iMTJBERiayIi5XrGz7mQUREpAV7kEREJCoD6UCyB0lERKQNEyQREZEWHGIlIiJRSSQSSASMmwqpW5KYIPWUSqUCAOTm5pZyJPon/5rw2mhXwYx/rf+pQiVjjf+nv+Vfk/x/c8Qg9O+mvv5dlqjEvCokmqysLFy5cqW0wyCicsLZ2Vnn9yQWRqlU4sqVK8jJyRF8rLGxMZydnWFkpD93/pgg9ZRSqUROTg6MjIz0dviBiMo+lUoFpVIJY2NjUZKTUqksUm9UIpHoVXIEmCCJiIi00q90TUREpCeYIImIiLRggiQiItKCCZKIiEgLJkgiIiItmCCJiIi0YIKkMq9jx47YtGlTaYdBpSAhIQFyuRxxcXEAgDNnzkAulyM5ObmUIyNDwARJxSYgIAByuVz9cXd3h4+PD65fvy7qeXbt2oVBgwaJ2iYVn/yfi7lz5xbYFxgYCLlcjoCAgCK17eLiglOnTsHCwuJdwyRigqTi1bZtW5w6dQqnTp3Cpk2bYGxsDF9fX1HPYWVlBVNTU1HbpOJla2uLQ4cO4fXr1+qyzMxMHDhwAHZ2dkVuVyaTwdramqtPkSiYIKlY5f+DZW1tjUaNGmH06NF49OgRkpKSAACPHj3CpEmT4OrqitatW2PcuHFISEhQHx8QEIDx48cjPDwcnp6ecHd3R2BgILKzs9V1/jnEeufOHQwePBjOzs7o2rUrfv/9d8jlchw5cgTA38NyUVFR8Pb2RvPmzdGzZ09cuHChZC4KoXHjxrC1tUVUVJS6LCoqCra2tmjUqJG67OTJkxg8eDBcXV3h7u6OsWPHQqFQFNqutiHWn376CV5eXmjevDkmTJiAjRs3wtXVVb0/NDQUvXr1QmRkJDp27IhWrVph8uTJSE1N1TkO/kwZJiZIKjFpaWnYt28f6tSpgypVqiA7Oxs+Pj4wMzPD9u3bERERgUqVKmHUqFHIyspSH3fmzBkoFAps3rwZixcvxt69e7F3716t58jNzcWECRNgamqKnTt3IigoCCtXrtRad+XKlfDx8UFkZCTq1q2LKVOmFGmRZSqafv36Yc+ePert3bt3o2/fvhp1MjIy8Pnnn2P37t3YtGkTJBIJJkyYAKVSqdM5zp8/j3nz5mH48OGIjIxEmzZtsG7dugL1FAoFjh49inXr1iEsLAznzp3D+vXrBcfBnynDwne/ULE6fvw4XFxcAADp6emwtrZGWFgYjIyMsH//fiiVSixcuFA9JBYSEgI3NzecPXsWnp6eAABLS0vMnTsXUqkUjo6O8PLyQkxMDAYOHFjgfL/99hsePHiArVu3wtraGgAwefJkfP755wXqjhw5Eu3btwcATJw4Ed26dcP9+/fh6OhYHJeC/qFnz5746quv8PDhQwDA//73P6xYsQJnz55V1+nSpYvGMYsWLYKHhwdu374NJyenfz3Htm3b0K5dO/j4+AAA6tWrhwsXLuD48eMa9VQqFUJCQmBubq6OLSYmBpMnTxYUB3+mDAsTJBUrd3d3zJ8/HwDw6tUrREREYPTo0di5cyeuX78OhUKBli1bahyTmZmpMXzVoEEDSKVS9ba1tTVu3ryp9Xzx8fGoWbOmOjkCQLNmzbTWlcvlGm0CQFJSEv8xKyFWVlZo37499u7dC5VKhfbt28PKykqjzr1797B69WpcunQJL168UL8l4tGjRzolyPj4eHTq1EmjrFmzZgUSpL29vTo5AoCNjQ2eP38uOA7+TBkWJkgqVqampqhTp456u0mTJnB1dcVPP/2E9PR0NGnSBMuXLy9w3Jv/UBoba/6YSiQSUV7uamJiotEmAJ2H7kgc/fr1Q1BQEABg3rx5Bfb7+vrC3t4ewcHBsLGxgVKpRPfu3TXuQYvhnz9jgOYLhHWNgz9ThoUJkkqURCKBRCJBZmYmmjRpgsOHD6NatWoav72/i3r16uHPP//Es2fPUL16dQDgi6f1WNu2bZGdnQ2JRKIeUs/34sULxMfHIzg4WD2pJjY2VlD79erVw9WrVzXKhP48iBEHlU1MkFSssrKy8PTpUwBAcnIytm3bhvT0dHTo0AHNmjVDeHg4xo0bh0mTJqFGjRpITExEdHQ0Ro0ahZo1awo+3wcffIDatWtjxowZmDZtGtLS0rBq1SqRvxWJRSqV4vDhw+o/v8nS0hJVqlTBjh07YG1tjcTERHz11VeC2h82bBiGDRuGjRs3okOHDjh9+jROnjwp6DEQMeKgsomzWKlY/frrr/D09ISnpycGDBiAK1eu4Ouvv4a7uztMTU2xbds22NnZwc/PD127dsWsWbOQmZlZ5B6lVCrFN998g/T0dPTv3x+zZ89WP3dZoUIFMb8aicTc3Fzrf28jIyOsXLkS165dQ/fu3RESEoLp06cLartVq1YIDAzExo0b0atXL/z6668YMWKEoJ8FMeKgskmiEuNmDpEeO3/+PIYMGYLo6Gg4ODiUdjhUymbPno27d+/ihx9+KO1QSM9xiJUMTnR0NCpVqoQ6depAoVBg4cKFaNmyJZNjORUeHo4PPvgApqamOHnyJCIjI7VOCCL6JyZIMjhpaWlYvnw5EhMTUbVqVbRp0wYzZswo7bColFy+fBnff/890tLSULt2bcyaNQsDBgwo7bCoDOAQKxERkRacpENERKQFEyQREZEWTJBERERaMEESERFpwQRJRESkBRMkUQnLfwl0Pm9vbyxcuLDE49D2cuF/evNF07rIf/nwu8h/+XBcXNw7tUP0rvgcJBHyklb+S5hNTExga2uLXr16wdfXV+ubHsQUGhqq8znOnDmD4cOH49y5c6hcuXKxxkVU3jFBEv2lbdu2CAkJQVZWFk6cOIGgoCCYmJhg7NixBepmZWVBJpOJct4qVaqI0g4RiYtDrER/kclksLa2hr29PYYMGYI2bdrg2LFjAP4eFv3222/h6emJjz/+GEDeC3MnTZoEV1dXtG7dGuPGjUNCQoK6zdzcXISEhMDV1RXu7u5YunRpgXdZ/nOINSsrC8uWLYOXlxeaNm2Kzp07Y+fOnUhISMDw4cMBAG5ubpDL5QgICACQ987BsLAwdOzYEc2aNUPPnj3x888/a5znxIkT6NKlC5o1awZvb288fPhQ8DVatmwZunTpgubNm+PDDz/EqlWrtL6b8ccff4SXlxeaN2+OSZMmISUlRWP/zp078cknn8DZ2Rkff/wxtm/fLjgWouLGHiRRISpUqICXL1+qt2NiYmBubo6NGzcCALKzs+Hj44MWLVpg+/btMDY2xtq1azFq1Cjs27cPMpkMGzZswN69e7Fo0SI4Ojpiw4YNiI6Oxvvvv1/oeadPn46LFy9i9uzZaNiwIRISEvDixQvY2toiNDQU/v7++Pnnn2Fubo6KFSsCAMLCwrBv3z4EBgaibt26OHfuHKZNmwYrKyu0bt0ajx49gp+fH4YOHYqBAwfi6tWrWLJkieBrYmZmhpCQENjY2ODmzZuYM2cOzMzMMHr0aHUdhUKBw4cPY926dUhNTcWsWbMwf/589Sui9u3bh6+//hpz585Fo0aNEBcXhzlz5qBSpUro06eP4JiIigsTJNE/qFQqxMTE4NSpUxg2bJi6vFKlSggODlY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     },
     "metadata": {}
    }
   ],
   "source": "fig, ax = plt.subplots(figsize=(5, 4))\ncm_q = confusion_matrix(yq_te, q_pred)\nConfusionMatrixDisplay(cm_q, display_labels=[str(c)[:8] for c in class_names]).plot(ax=ax, cmap=\"Purples\")\nax.set_title(f\"Quantum Kernel\\nAcc={q_acc:.3f}\")\nplt.tight_layout()\nplt.show()\n",
   "id": "quantum_cm"
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "s8"
   },
   "source": "## 8. Karşılaştırma ve ROC\n",
   "id": "s8"
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "id": "compare",
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 939
    },
    "executionInfo": {
     "status": "ok",
     "timestamp": 1786333224831,
     "user_tz": -180,
     "elapsed": 793,
     "user": {
      "displayName": "Joseph Volkan ÖZCAN",
      "userId": "11389530967736397480"
     }
    },
    "outputId": "a3868922-8a5f-4945-83db-65f24fd906bc"
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "=== KARŞILAŞTIRMA ===\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "                Model  Accuracy        F1             Tip\n",
       "0       Random Forest  0.653333  0.652593          Klasik\n",
       "1             SVM RBF  0.653333  0.652593          Klasik\n",
       "2  Quantum Kernel SVM  0.640000  0.638716  Kuantum hibrit"
      ],
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       "      (() => {\n",
       "      const buttonEl =\n",
       "        document.querySelector('#id_e9ee04db-3ff1-44af-a95b-855f7641256b button.colab-df-generate');\n",
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       "type": "dataframe",
       "variable_name": "cmp",
       "summary": "{\n  \"name\": \"cmp\",\n  \"rows\": 3,\n  \"fields\": [\n    {\n      \"column\": \"Model\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"Random Forest\",\n          \"SVM RBF\",\n          \"Quantum Kernel SVM\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Accuracy\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.007698003589194996,\n        \"min\": 0.64,\n        \"max\": 0.6533333333333333,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          0.64,\n          0.6533333333333333\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"F1\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.008011453132143674,\n        \"min\": 0.638716348725263,\n        \"max\": 0.6525925925925926,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          0.638716348725263,\n          0.6525925925925926\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Tip\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"Kuantum hibrit\",\n          \"Klasik\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
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     },
     "metadata": {}
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 700x400 with 1 Axes>"
      ],
      "image/png": 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\n"
     },
     "metadata": {}
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 500x400 with 1 Axes>"
      ],
      "image/png": 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\n"
     },
     "metadata": {}
    }
   ],
   "source": "# Klasik modeller aynı quantum test indekslerinde adil değil; full test skorlarını kullan\nrows = [\n    {\"Model\": \"Random Forest\", \"Accuracy\": classic_results[\"Random Forest\"][\"acc\"], \"F1\": classic_results[\"Random Forest\"][\"f1\"], \"Tip\": \"Klasik\"},\n    {\"Model\": \"SVM RBF\", \"Accuracy\": classic_results[\"SVM (RBF)\"][\"acc\"], \"F1\": classic_results[\"SVM (RBF)\"][\"f1\"], \"Tip\": \"Klasik\"},\n    {\"Model\": \"Quantum Kernel SVM\", \"Accuracy\": q_acc, \"F1\": q_f1, \"Tip\": \"Kuantum hibrit\"},\n]\ncmp = pd.DataFrame(rows)\nprint(\"=== KARŞILAŞTIRMA ===\")\ndisplay(cmp)\n\nfig, ax = plt.subplots(figsize=(7, 4))\nax.barh(cmp[\"Model\"], cmp[\"Accuracy\"], color=[\"#3498db\", \"#3498db\", \"#9b59b6\"])\nax.set_xlim(0, 1)\nax.set_xlabel(\"Accuracy\")\nax.set_title(\"Klasik vs Quantum Kernel (MRI tarama demo)\")\nfor i, v in enumerate(cmp[\"Accuracy\"]):\n    ax.text(v + 0.01, i, f\"{v:.3f}\", va=\"center\")\nplt.tight_layout()\nplt.show()\n\n# ROC (ikili ise)\nif len(class_names) == 2 and classic_results[\"Random Forest\"][\"proba\"] is not None:\n    proba = classic_results[\"Random Forest\"][\"proba\"][:, 1]\n    fpr, tpr, _ = roc_curve(y_test, proba)\n    auc = roc_auc_score(y_test, proba)\n    plt.figure(figsize=(5, 4))\n    plt.plot(fpr, tpr, label=f\"RF AUC={auc:.3f}\")\n    plt.plot([0, 1], [0, 1], \"k--\")\n    plt.xlabel(\"FPR\"); plt.ylabel(\"TPR\"); plt.title(\"ROC – Random Forest\")\n    plt.legend(); plt.grid(True, alpha=0.3); plt.tight_layout(); plt.show()\n",
   "id": "compare"
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "interpret"
   },
   "source": "## 9. Sonuçları Nasıl Yorumlarız?\n\n### Metrikler (tıp + ML)\n| Metrik | Anlamı | Klinik not |\n|--------|--------|------------|\n| **Accuracy** | Genel doğruluk | Dengesiz sınıfta yanıltıcı olabilir |\n| **Recall (duyarlılık)** | Gerçek pozitifleri yakalama | Kanser taramasında kritik (kaçırmamak) |\n| **Precision** | Pozitif dediğinin gerçekten pozitif oranı | Yanlış alarm yükü |\n| **F1** | Precision–Recall dengesi | Tek skor özeti |\n| **AUC** | Eşikten bağımsız ayrım gücü | Model sıralama kalitesi |\n\n### Bu deneyde beklenenler\n- Klasik RF/SVM, düzleştirilmiş MRI + yeterli örnekle genelde güçlüdür\n- Quantum kernel **4 PCA özelliği** ile çalışır → bilgi kaybı olabilir\n- Amaç: **hibrit pipeline öğrenmek**, klinik SOTA iddiası değil\n\n### Etik ve metodoloji\n1. Veri kaynağı ve hasta mahremiyeti (anonim public set)\n2. Train/test sızıntısı olmamalı\n3. Çok merkezli genelleme olmadan klinik iddia yapılamaz\n4. “Kuantum daha iyi” iddiası için aynı özellik / aynı n ile adil kıyas gerekir\n\n### HF veri gelmediyse\nSentetik blob verisi yalnızca **kod akışını** öğretir; tıbbi performans sayılarına bağlanmamalıdır.\n\n### Veri kaynağı notu\nHugging Face’te bazı MRI setleri kaldırılmış veya `trust_remote_code` ile yükleniyordu (artık desteklenmiyor).\nBu notebook **MedMNIST** (BreastMNIST / PneumoniaMNIST) kullanır: public, stabil, eğitim için uygun.\nGörüntü tipi ultrason/X-ray olabilir; **pipeline MRI tarama ile aynıdır**.\n\n",
   "id": "interpret"
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "closing"
   },
   "source": "## 10. Özet ve Ödevler\n\n**Yaptıklarımız:** public/sentetik MRI → EDA → klasik baseline → PCA → Qiskit quantum kernel → metrik + yorum.\n\n### Ödev\n1. `N_QUBITS=6` yapıp quantum skorunu karşılaştırın  \n2. PCA yerine basit CNN (2 conv) embedding alıp quantum kernel’e verin  \n3. Sınıf ağırlıkları / SMOTE ile dengesizliği tartışın  \n4. Yanlış negatifleri görsel olarak inceleyin (hangi dilimler kaçtı?)  \n\n---\n**Uyarı:** Eğitim demosu — tanı cihazı değildir.  \n**Stack:** Qiskit · scikit-learn · Hugging Face Datasets · PCA  \n**Colab · 2026**\n",
   "id": "closing"
  }
 ]
}