{ "nbformat": 4, "nbformat_minor": 0, "metadata": { "colab": { "provenance": [] }, "kernelspec": { "name": "python3", "display_name": "Python 3" }, "language_info": { "name": "python" } }, "cells": [ { "cell_type": "markdown", "source": [ "Load predictions & targets for test data 🎯" ], "metadata": { "id": "I-0eC5WtyfB_" } }, { "cell_type": "code", "source": [ "#import the required library\n", "from sklearn.metrics import roc_auc_score, classification_report, ConfusionMatrixDisplay, multilabel_confusion_matrix\n", "import torch\n", "import pandas as pd\n", "import numpy as np\n", "import pickle\n", "import matplotlib.pyplot as plt\n", "import fastai\n", "\n", "try:\n", " print(\"#------- exp0 : all -------#\")\n", " y_test_true_exp0 = np.load('/content/output/exp0/data/y_test.npy', allow_pickle=True)\n", " y_test_pred_exp0 = np.load('/content/output/exp0/models/fastai_inception1d/y_test_pred.npy', allow_pickle=True)\n", " with open('/content/output/exp0/data/mlb.pkl', 'rb') as f:\n", " data = pickle.load(f)\n", " MultiLabelBinarizer_exp0 = data.classes_\n", " #tensors\n", " t_exp0 = torch.from_numpy(y_test_true_exp0)\n", " p_exp0 = torch.from_numpy(y_test_pred_exp0)\n", " print(\"y_test_true_exp0 shape: \" + str(y_test_true_exp0.shape))\n", " print(\"y_test_pred_exp0 shape: \" + str(y_test_pred_exp0.shape))\n", " print(\"exp0 classes: \" + str(len(MultiLabelBinarizer_exp0))) \n", "\n", "\n", " print(\"\\n#------- exp1 : diagnostic -------#\")\n", " y_test_true_exp1 = np.load('/content/output/exp1/data/y_test.npy', allow_pickle=True)\n", " y_test_pred_exp1 = np.load('/content/output/exp1/models/fastai_inception1d/y_test_pred.npy', allow_pickle=True)\n", " with open('/content/output/exp1/data/mlb.pkl', 'rb') as f:\n", " data = pickle.load(f)\n", " MultiLabelBinarizer_exp1 = data.classes_\n", " #tensors\n", " t_exp1 = torch.from_numpy(y_test_true_exp1)\n", " p_exp1 = torch.from_numpy(y_test_pred_exp1)\n", " print(\"y_test_true_exp1 shape: \" + str(y_test_true_exp1.shape))\n", " print(\"y_test_pred_exp1 shape: \" + str(y_test_pred_exp1.shape))\n", " print(\"exp1 classes: \" + str(len(MultiLabelBinarizer_exp1))) \n", "\n", "\n", " print(\"\\n#------- exp1.1 : subdiagnostic -------#\")\n", " y_test_true_exp1_1 = np.load('/content/output/exp1.1/data/y_test.npy', allow_pickle=True)\n", " y_test_pred_exp1_1 = np.load('/content/output/exp1.1/models/fastai_inception1d/y_test_pred.npy', allow_pickle=True)\n", " with open('/content/output/exp1.1/data/mlb.pkl', 'rb') as f:\n", " data = pickle.load(f)\n", " MultiLabelBinarizer_exp1_1 = data.classes_\n", " #tensors\n", " t_exp1_1 = torch.from_numpy(y_test_true_exp1_1)\n", " p_exp1_1 = torch.from_numpy(y_test_pred_exp1_1)\n", " print(\"y_test_true_exp1.1 shape: \" + str(y_test_true_exp1_1.shape))\n", " print(\"y_test_pred_exp1.1 shape: \" + str(y_test_pred_exp1_1.shape))\n", " print(\"exp1.1 classes: \" + str(len(MultiLabelBinarizer_exp1_1))) \n", "\n", "\n", " print(\"\\n#------- exp1.1.1 : superdiagnostic -------#\")\n", " y_test_true_exp1_1_1 = np.load('/content/output/exp1.1.1/data/y_test.npy', allow_pickle=True)\n", " y_test_pred_exp1_1_1 = np.load('/content/output/exp1.1.1/models/fastai_inception1d/y_test_pred.npy', allow_pickle=True)\n", " with open('/content/output/exp1.1.1/data/mlb.pkl', 'rb') as f:\n", " data = pickle.load(f)\n", " MultiLabelBinarizer_exp1_1_1 = data.classes_\n", " #tensors\n", " t_exp1_1_1 = torch.from_numpy(y_test_true_exp1_1_1)\n", " p_exp1_1_1 = torch.from_numpy(y_test_pred_exp1_1_1)\n", " print(\"y_test_true_exp1.1.1 shape: \" + str(y_test_true_exp1_1_1.shape))\n", " print(\"y_test_pred_exp1.1.1 shape: \" + str(y_test_pred_exp1_1_1.shape))\n", " print(\"exp1.1.1 classes: \" + str(len(MultiLabelBinarizer_exp1_1_1))) \n", "\n", "\n", " print(\"\\n#------- exp2 : form -------#\")\n", " y_test_true_exp2= np.load('/content/output/exp2/data/y_test.npy', allow_pickle=True)\n", " y_test_pred_exp2 = np.load('/content/output/exp2/models/fastai_inception1d/y_test_pred.npy', allow_pickle=True)\n", " with open('/content/output/exp2/data/mlb.pkl', 'rb') as f:\n", " data = pickle.load(f)\n", " MultiLabelBinarizer_exp2 = data.classes_\n", " #tensors\n", " t_exp2 = torch.from_numpy(y_test_true_exp2)\n", " p_exp2 = torch.from_numpy(y_test_pred_exp2)\n", " print(\"y_test_true_exp2 shape: \" + str(y_test_true_exp2.shape))\n", " print(\"y_test_pred_exp2 shape: \" + str(y_test_pred_exp2.shape))\n", " print(\"exp2 classes: \" + str(len(MultiLabelBinarizer_exp2)))\n", "\n", "\n", " print(\"\\n#------- exp3 : rhythm -------#\")\n", " y_test_true_exp3= np.load('/content/output/exp3/data/y_test.npy', allow_pickle=True)\n", " y_test_pred_exp3 = np.load('/content/output/exp3/models/fastai_inception1d/y_test_pred.npy', allow_pickle=True)\n", " with open('/content/output/exp3/data/mlb.pkl', 'rb') as f:\n", " data = pickle.load(f)\n", " MultiLabelBinarizer_exp3 = data.classes_\n", " #tensors\n", " t_exp3 = torch.from_numpy(y_test_true_exp3)\n", " p_exp3 = torch.from_numpy(y_test_pred_exp3)\n", " print(\"y_test_true_exp3 shape: \" + str(y_test_true_exp3.shape))\n", " print(\"y_test_pred_exp3 shape: \" + str(y_test_pred_exp3.shape))\n", " print(\"exp3 classes: \" + str(len(MultiLabelBinarizer_exp3)))\n", "\n", "except:\n", " print(\"Oops!\", sys.exc_info()[0], \"occurred.\") " ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "uv-eJAvEKxPs", "outputId": "16e016e7-526b-44e2-8cd6-6cbcd09501c7" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "#------- exp0 : all -------#\n", "y_test_true_exp0 shape: (2203, 71)\n", "y_test_pred_exp0 shape: (2203, 71)\n", "exp0 classes: 71\n", "\n", "#------- exp1 : diagnostic -------#\n", "y_test_true_exp1 shape: (2163, 44)\n", "y_test_pred_exp1 shape: (2163, 44)\n", "exp1 classes: 44\n", "\n", "#------- exp1.1 : subdiagnostic -------#\n", "y_test_true_exp1.1 shape: (2163, 23)\n", "y_test_pred_exp1.1 shape: (2163, 23)\n", "exp1.1 classes: 23\n", "\n", "#------- exp1.1.1 : superdiagnostic -------#\n", "y_test_true_exp1.1.1 shape: (2163, 5)\n", "y_test_pred_exp1.1.1 shape: (2163, 5)\n", "exp1.1.1 classes: 5\n", "\n", "#------- exp2 : form -------#\n", "y_test_true_exp2 shape: (882, 19)\n", "y_test_pred_exp2 shape: (882, 19)\n", "exp2 classes: 19\n", "\n", "#------- exp3 : rhythm -------#\n", "y_test_true_exp3 shape: (2103, 12)\n", "y_test_pred_exp3 shape: (2103, 12)\n", "exp3 classes: 12\n" ] } ] }, { "cell_type": "code", "source": [ "all_df = pd.DataFrame(y_test_pred_exp0, columns = MultiLabelBinarizer_exp0)\n", "all_df.describe()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 364 }, "id": "Xnknsk9UlJI-", "outputId": "0c572f5b-a3cf-4038-9f55-3b58dc047606" }, "execution_count": null, "outputs": [ { "output_type": "execute_result", "data": { "text/html": [ "\n", "
| \n", " | 1AVB | \n", "2AVB | \n", "3AVB | \n", "ABQRS | \n", "AFIB | \n", "AFLT | \n", "ALMI | \n", "AMI | \n", "ANEUR | \n", "ASMI | \n", "BIGU | \n", "CLBBB | \n", "CRBBB | \n", "DIG | \n", "EL | \n", "HVOLT | \n", "ILBBB | \n", "ILMI | \n", "IMI | \n", "INJAL | \n", "INJAS | \n", "INJIL | \n", "INJIN | \n", "INJLA | \n", "INVT | \n", "IPLMI | \n", "IPMI | \n", "IRBBB | \n", "ISCAL | \n", "ISCAN | \n", "ISCAS | \n", "ISCIL | \n", "ISCIN | \n", "ISCLA | \n", "ISC_ | \n", "IVCD | \n", "LAFB | \n", "LAO/LAE | \n", "LMI | \n", "LNGQT | \n", "LOWT | \n", "LPFB | \n", "LPR | \n", "LVH | \n", "LVOLT | \n", "NDT | \n", "NORM | \n", "NST_ | \n", "NT_ | \n", "PAC | \n", "PACE | \n", "PMI | \n", "PRC(S) | \n", "PSVT | \n", "PVC | \n", "QWAVE | \n", "RAO/RAE | \n", "RVH | \n", "SARRH | \n", "SBRAD | \n", "SEHYP | \n", "SR | \n", "STACH | \n", "STD_ | \n", "STE_ | \n", "SVARR | \n", "SVTAC | \n", "TAB_ | \n", "TRIGU | \n", "VCLVH | \n", "WPW | \n", "
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| count | \n", "2203.000000 | \n", "2.203000e+03 | \n", "2.203000e+03 | \n", "2203.000000 | \n", "2.203000e+03 | \n", "2.203000e+03 | \n", "2.203000e+03 | \n", "2.203000e+03 | \n", "2.203000e+03 | \n", "2203.000000 | \n", "2.203000e+03 | \n", "2.203000e+03 | \n", "2.203000e+03 | \n", "2.203000e+03 | \n", "2.203000e+03 | \n", "2.203000e+03 | \n", "2.203000e+03 | \n", "2.203000e+03 | \n", "2203.000000 | \n", "2.203000e+03 | \n", "2.203000e+03 | \n", "2.203000e+03 | \n", "2.203000e+03 | \n", "2.203000e+03 | \n", "2.203000e+03 | \n", "2.203000e+03 | \n", "2.203000e+03 | \n", "2.203000e+03 | \n", "2.203000e+03 | \n", "2.203000e+03 | \n", "2.203000e+03 | \n", "2.203000e+03 | \n", "2.203000e+03 | \n", "2.203000e+03 | \n", "2.203000e+03 | \n", "2203.000000 | \n", "2.203000e+03 | \n", "2203.000000 | \n", "2203.000000 | \n", "2.203000e+03 | \n", "2.203000e+03 | \n", "2.203000e+03 | \n", "2.203000e+03 | \n", "2203.000000 | \n", "2.203000e+03 | \n", "2.203000e+03 | \n", "2203.000000 | \n", "2203.000000 | \n", "2.203000e+03 | \n", "2203.000000 | \n", "2.203000e+03 | \n", "2.203000e+03 | \n", "2.203000e+03 | \n", "2.203000e+03 | \n", "2203.000000 | \n", "2203.000000 | \n", "2.203000e+03 | \n", "2.203000e+03 | \n", "2203.000000 | \n", "2203.000000 | \n", "2.203000e+03 | \n", "2203.000000 | \n", "2.203000e+03 | \n", "2.203000e+03 | \n", "2.203000e+03 | \n", "2203.000000 | \n", "2.203000e+03 | \n", "2.203000e+03 | \n", "2.203000e+03 | \n", "2203.000000 | \n", "2.203000e+03 | \n", "
| mean | \n", "0.041932 | \n", "4.690923e-04 | \n", "7.181480e-04 | \n", "0.141938 | \n", "8.818657e-02 | \n", "3.072795e-03 | \n", "9.908664e-03 | \n", "1.869906e-02 | \n", "4.740223e-03 | \n", "0.116391 | \n", "8.224632e-03 | \n", "2.634046e-02 | \n", "2.810092e-02 | \n", "1.259387e-02 | \n", "6.912197e-03 | \n", "3.834640e-03 | \n", "4.600922e-03 | \n", "1.936424e-02 | \n", "0.148876 | \n", "7.215407e-03 | \n", "1.045817e-02 | \n", "3.897515e-04 | \n", "6.067776e-04 | \n", "5.599528e-04 | \n", "2.151215e-02 | \n", "1.874834e-03 | \n", "1.567973e-03 | \n", "6.826095e-02 | \n", "3.240778e-02 | \n", "2.135804e-03 | \n", "8.507780e-03 | \n", "8.656554e-03 | \n", "9.711757e-03 | \n", "6.143981e-03 | \n", "6.375906e-02 | \n", "0.046064 | \n", "8.365224e-02 | \n", "0.022130 | \n", "0.009176 | \n", "5.370102e-03 | \n", "3.510259e-02 | \n", "8.872601e-03 | \n", "2.473110e-02 | \n", "0.105156 | \n", "1.219518e-02 | \n", "1.135270e-01 | \n", "0.534428 | \n", "0.049426 | \n", "3.344039e-02 | \n", "0.031958 | \n", "1.094807e-02 | \n", "4.300952e-04 | \n", "3.713475e-04 | \n", "1.288471e-03 | \n", "0.081697 | \n", "0.045534 | \n", "4.576320e-03 | \n", "6.697862e-03 | \n", "0.045578 | \n", "0.044577 | \n", "1.098754e-03 | \n", "0.834210 | \n", "5.087768e-02 | \n", "7.867416e-02 | \n", "1.412831e-03 | \n", "0.005263 | \n", "1.569810e-03 | \n", "2.062531e-03 | \n", "1.532556e-03 | \n", "0.044759 | \n", "2.621022e-03 | \n", "
| std | \n", "0.135578 | \n", "3.793299e-03 | \n", "6.744868e-03 | \n", "0.245985 | \n", "2.599332e-01 | \n", "3.596065e-02 | \n", "5.669688e-02 | \n", "3.887906e-02 | \n", "1.608364e-02 | \n", "0.265255 | \n", "3.361430e-02 | \n", "1.512288e-01 | \n", "1.496449e-01 | \n", "5.230315e-02 | \n", "1.290561e-02 | \n", "1.169044e-02 | \n", "2.468339e-02 | \n", "8.528317e-02 | \n", "0.270093 | \n", "3.617059e-02 | \n", "5.487202e-02 | \n", "3.238652e-03 | \n", "3.879071e-03 | \n", "3.138138e-03 | \n", "5.995231e-02 | \n", "1.285505e-02 | \n", "7.725764e-03 | \n", "2.075873e-01 | \n", "7.981872e-02 | \n", "6.637789e-03 | \n", "3.835368e-02 | \n", "2.875554e-02 | \n", "3.190393e-02 | \n", "1.304622e-02 | \n", "1.820679e-01 | \n", "0.069813 | \n", "2.377213e-01 | \n", "0.043881 | \n", "0.026373 | \n", "1.025839e-02 | \n", "8.130650e-02 | \n", "6.248318e-02 | \n", "9.567221e-02 | \n", "0.238705 | \n", "2.899997e-02 | \n", "1.924527e-01 | \n", "0.438604 | \n", "0.079609 | \n", "7.716443e-02 | \n", "0.047796 | \n", "9.230591e-02 | \n", "2.166413e-03 | \n", "1.872121e-03 | \n", "1.378870e-02 | \n", "0.174788 | \n", "0.092238 | \n", "2.500073e-02 | \n", "4.107502e-02 | \n", "0.038027 | \n", "0.138943 | \n", "6.251811e-03 | \n", "0.292518 | \n", "1.961782e-01 | \n", "1.510343e-01 | \n", "1.793571e-03 | \n", "0.021245 | \n", "1.655682e-02 | \n", "2.240731e-03 | \n", "6.013021e-03 | \n", "0.112820 | \n", "3.789612e-02 | \n", "
| min | \n", "0.000002 | \n", "2.735070e-11 | \n", "3.076229e-12 | \n", "0.000169 | \n", "4.457783e-08 | \n", "5.728561e-11 | \n", "8.245208e-08 | \n", "9.571725e-08 | \n", "1.519203e-08 | \n", "0.000002 | \n", "9.019752e-08 | \n", "8.585872e-11 | \n", "3.552612e-11 | \n", "1.808769e-10 | \n", "1.230867e-10 | \n", "4.706868e-11 | \n", "7.305752e-09 | \n", "2.326009e-08 | \n", "0.000016 | \n", "3.337900e-10 | \n", "1.022799e-08 | \n", "6.245731e-14 | \n", "5.641198e-12 | \n", "6.243609e-11 | \n", "1.243464e-07 | \n", "1.594536e-09 | \n", "2.061151e-11 | \n", "5.323583e-07 | \n", "4.230842e-09 | \n", "1.286534e-10 | \n", "1.128480e-09 | \n", "2.546612e-09 | \n", "1.813291e-07 | \n", "5.893357e-09 | \n", "2.072733e-08 | \n", "0.000635 | \n", "5.480850e-07 | \n", "0.000013 | \n", "0.000004 | \n", "3.322207e-09 | \n", "1.071146e-08 | \n", "1.953822e-09 | \n", "8.096017e-10 | \n", "0.000005 | \n", "2.059244e-09 | \n", "6.318818e-07 | \n", "0.000009 | \n", "0.000014 | \n", "1.362319e-09 | \n", "0.000004 | \n", "6.910396e-08 | \n", "1.227760e-10 | \n", "2.678996e-13 | \n", "1.937101e-10 | \n", "0.000923 | \n", "0.000004 | \n", "1.519957e-08 | \n", "2.882564e-10 | \n", "0.000114 | \n", "0.000002 | \n", "2.840473e-10 | \n", "0.000255 | \n", "7.584251e-07 | \n", "8.069939e-08 | \n", "7.710865e-09 | \n", "0.000011 | \n", "3.084697e-11 | \n", "1.240114e-09 | \n", "3.040361e-12 | \n", "0.000003 | \n", "2.005734e-09 | \n", "
| 25% | \n", "0.000206 | \n", "5.388185e-08 | \n", "3.405508e-08 | \n", "0.004685 | \n", "2.850929e-05 | \n", "2.593677e-07 | \n", "1.799793e-05 | \n", "4.327423e-04 | \n", "1.232855e-05 | \n", "0.000224 | \n", "1.186319e-04 | \n", "1.666098e-07 | \n", "2.905467e-07 | \n", "1.927293e-06 | \n", "1.454873e-04 | \n", "6.910860e-05 | \n", "1.168657e-05 | \n", "2.218178e-05 | \n", "0.001863 | \n", "6.606773e-07 | \n", "5.443316e-06 | \n", "2.895648e-09 | \n", "5.016029e-08 | \n", "1.144133e-07 | \n", "4.036927e-05 | \n", "4.415739e-06 | \n", "5.121946e-07 | \n", "2.406564e-04 | \n", "9.791123e-06 | \n", "1.259296e-06 | \n", "2.993976e-06 | \n", "4.841069e-06 | \n", "1.106012e-04 | \n", "6.488481e-06 | \n", "1.608812e-05 | \n", "0.010312 | \n", "1.226845e-04 | \n", "0.001659 | \n", "0.000422 | \n", "1.578739e-04 | \n", "2.191486e-05 | \n", "4.762509e-06 | \n", "8.703155e-05 | \n", "0.000346 | \n", "6.792195e-04 | \n", "2.627399e-03 | \n", "0.018776 | \n", "0.001419 | \n", "3.271427e-04 | \n", "0.006277 | \n", "1.194573e-05 | \n", "1.041015e-06 | \n", "5.164169e-07 | \n", "8.859012e-07 | \n", "0.008582 | \n", "0.001459 | \n", "1.067186e-04 | \n", "1.263118e-06 | \n", "0.022213 | \n", "0.000963 | \n", "4.401759e-06 | \n", "0.906303 | \n", "9.782199e-05 | \n", "9.912760e-04 | \n", "3.872054e-04 | \n", "0.000351 | \n", "2.084756e-07 | \n", "6.625770e-04 | \n", "2.225154e-05 | \n", "0.000289 | \n", "3.360388e-06 | \n", "
| 50% | \n", "0.000956 | \n", "9.412844e-07 | \n", "1.255701e-06 | \n", "0.019237 | \n", "1.921692e-04 | \n", "4.619836e-06 | \n", "1.705861e-04 | \n", "3.330813e-03 | \n", "1.361067e-04 | \n", "0.001765 | \n", "4.864573e-04 | \n", "1.655920e-06 | \n", "5.550532e-06 | \n", "5.055453e-05 | \n", "1.017401e-03 | \n", "3.434110e-04 | \n", "1.069754e-04 | \n", "3.999986e-04 | \n", "0.012293 | \n", "1.308063e-05 | \n", "5.684820e-05 | \n", "1.050841e-07 | \n", "1.268408e-06 | \n", "2.138523e-06 | \n", "4.532181e-04 | \n", "6.202931e-05 | \n", "2.866635e-05 | \n", "1.047611e-03 | \n", "3.440946e-04 | \n", "6.533984e-05 | \n", "7.818220e-05 | \n", "1.171372e-04 | \n", "8.395927e-04 | \n", "2.700780e-04 | \n", "3.490269e-04 | \n", "0.022397 | \n", "8.657979e-04 | \n", "0.006517 | \n", "0.001555 | \n", "9.159070e-04 | \n", "6.274063e-04 | \n", "3.118186e-05 | \n", "4.953367e-04 | \n", "0.002605 | \n", "2.859874e-03 | \n", "1.583414e-02 | \n", "0.679665 | \n", "0.010727 | \n", "2.603329e-03 | \n", "0.016081 | \n", "7.570380e-05 | \n", "1.337144e-05 | \n", "7.456297e-06 | \n", "6.507096e-06 | \n", "0.019901 | \n", "0.006319 | \n", "4.837140e-04 | \n", "1.660178e-05 | \n", "0.035373 | \n", "0.003137 | \n", "3.293459e-05 | \n", "0.958961 | \n", "4.142255e-04 | \n", "6.783304e-03 | \n", "8.826295e-04 | \n", "0.001011 | \n", "2.705196e-06 | \n", "1.428194e-03 | \n", "9.241840e-05 | \n", "0.001770 | \n", "3.847848e-05 | \n", "
| 75% | \n", "0.008106 | \n", "2.882433e-05 | \n", "5.093880e-05 | \n", "0.144400 | \n", "3.461088e-03 | \n", "8.438421e-05 | \n", "1.446770e-03 | \n", "1.634703e-02 | \n", "1.639375e-03 | \n", "0.029109 | \n", "1.939955e-03 | \n", "3.731037e-05 | \n", "1.080168e-04 | \n", "1.895618e-03 | \n", "7.164085e-03 | \n", "1.721131e-03 | \n", "8.201246e-04 | \n", "3.691346e-03 | \n", "0.118820 | \n", "6.335815e-04 | \n", "9.819288e-04 | \n", "7.679287e-06 | \n", "4.212219e-05 | \n", "4.437872e-05 | \n", "7.013151e-03 | \n", "5.299084e-04 | \n", "3.991299e-04 | \n", "6.971745e-03 | \n", "1.323713e-02 | \n", "1.027777e-03 | \n", "1.479720e-03 | \n", "3.784021e-03 | \n", "5.549533e-03 | \n", "5.041310e-03 | \n", "1.199335e-02 | \n", "0.051120 | \n", "7.923620e-03 | \n", "0.021339 | \n", "0.006117 | \n", "5.707504e-03 | \n", "2.023691e-02 | \n", "3.044679e-04 | \n", "3.301137e-03 | \n", "0.041016 | \n", "1.097926e-02 | \n", "1.262159e-01 | \n", "0.984139 | \n", "0.068039 | \n", "2.220795e-02 | \n", "0.035509 | \n", "6.601153e-04 | \n", "1.436071e-04 | \n", "8.716813e-05 | \n", "6.629186e-05 | \n", "0.057164 | \n", "0.037664 | \n", "2.091880e-03 | \n", "1.871274e-04 | \n", "0.057075 | \n", "0.013560 | \n", "2.625270e-04 | \n", "0.975626 | \n", "2.745435e-03 | \n", "6.855020e-02 | \n", "1.695480e-03 | \n", "0.003353 | \n", "5.436854e-05 | \n", "2.641160e-03 | \n", "3.890192e-04 | \n", "0.019150 | \n", "2.575593e-04 | \n", "
| max | \n", "0.912617 | \n", "1.324454e-01 | \n", "2.179521e-01 | \n", "0.997894 | \n", "9.989101e-01 | \n", "9.678826e-01 | \n", "9.132080e-01 | \n", "4.067405e-01 | \n", "2.397362e-01 | \n", "0.997907 | \n", "4.904260e-01 | \n", "9.999939e-01 | \n", "9.977427e-01 | \n", "6.250544e-01 | \n", "1.316693e-01 | \n", "1.461682e-01 | \n", "4.554166e-01 | \n", "8.825095e-01 | \n", "0.995794 | \n", "5.495667e-01 | \n", "7.990131e-01 | \n", "6.938067e-02 | \n", "6.832881e-02 | \n", "5.258806e-02 | \n", "5.829435e-01 | \n", "3.529565e-01 | \n", "1.595378e-01 | \n", "9.967433e-01 | \n", "6.420081e-01 | \n", "9.482572e-02 | \n", "6.338199e-01 | \n", "4.342830e-01 | \n", "6.694770e-01 | \n", "1.326339e-01 | \n", "9.906136e-01 | \n", "0.694887 | \n", "9.991246e-01 | \n", "0.418025 | \n", "0.393594 | \n", "1.311461e-01 | \n", "6.724114e-01 | \n", "9.577746e-01 | \n", "8.705290e-01 | \n", "0.998773 | \n", "3.813286e-01 | \n", "8.929114e-01 | \n", "0.999818 | \n", "0.560763 | \n", "6.619146e-01 | \n", "0.438245 | \n", "9.998146e-01 | \n", "5.607063e-02 | \n", "6.066715e-02 | \n", "3.313428e-01 | \n", "0.990880 | \n", "0.667342 | \n", "8.707089e-01 | \n", "8.034663e-01 | \n", "0.322939 | \n", "0.987134 | \n", "1.508940e-01 | \n", "0.996948 | \n", "9.996182e-01 | \n", "7.912810e-01 | \n", "2.097179e-02 | \n", "0.669579 | \n", "5.038835e-01 | \n", "1.967611e-02 | \n", "7.106218e-02 | \n", "0.731478 | \n", "9.948489e-01 | \n", "