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combine_results.py
QA_SVM.ipynb NaN GiB
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Classification with SVM on the D-Wave Advantage Qauntum Annealer"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### This notebook performs the evaluation and visualization of the results returned from the quantum annealer. The results have to be obtained with another script (e.g. submit_experiments.sh).\n",
"\n",
"The classification map that is reported in the paper is the one obtained with the following parameters:\n",
"\n",
"- B = 3\n",
"- K = 2\n",
"- gamma = -1\n",
"- xi = 5\n",
"- E = 0\n",
"- embedding 2\n",
"- annealing time = 100\n",
"- rel. chain strength = 0.5\n",
"- Energy -45.506845443310596 \n",
"\n",
"On test data\n",
"- Overal accuracy 0.873516\n",
"- F1 score 0.7344402173456618\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Import Packages"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"import glob\n",
"from utils import *\n",
"import matplotlib.pyplot as plt\n",
"from matplotlib import colors\n",
"from sklearn import preprocessing\n",
"\n",
"from sklearn.metrics import accuracy_score\n",
"from sklearn.metrics import f1_score\n",
"\n",
"from quantum_SVM import * # QA SVM\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Load the training and test sets"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"X_train (50, 8)\n",
"Y_train (50,)\n",
"X_test (250000, 8)\n",
"Y_test (250000,)\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 360x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Load training set\n",
"key='_tiny'\n",
"X_train=np.load('X_train_tile_4'+key+'.npy')\n",
"Y_train=np.load('Y_train_tile_4'+key+'.npy')\n",
"\n",
"print('X_train',X_train.shape) \n",
"print('Y_train',Y_train.shape) \n",
"\n",
"# Load test set\n",
"X_test=np.load('X_test_tile_8_subregion.npy')\n",
"Y_test=np.load('Y_test_tile_8_subregion.npy')\n",
"\n",
"print('X_test',X_test.shape) \n",
"print('Y_test',Y_test.shape) \n",
"\n",
"# for training, the labels have to be -1,+1; i.e., replace 0 -> -1\n",
"Y_train=np.where(Y_train==0,-1,Y_train)\n",
"\n",
"groundtruth=np.reshape(Y_test,(500,500))\n",
"plt.title('Groundtruth')\n",
"cmap = colors.ListedColormap(['black', 'red'])\n",
"plt.rcParams[\"figure.figsize\"] = (5,5)\n",
"view=plt.imshow(groundtruth,cmap=cmap)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## QSVM"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Parameters"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"outputpath='output/run_calibtrain'+key\n",
"maxalphas=20 # the 20 lowest-energy results returned by the quantum annealer are stored, but for the evaluation, we can consider less and compare\n",
"\n",
"# Parameters \n",
"Bs=[2,3] #[2,3,5,10] Base\n",
"Ks=[2] #[2,3] Number of qubits\n",
"xis=[0,1,5] #[0,1,5] Strength to consider the constraint\n",
"gammas=[-1] #[-1,0.125,0.25,0.5,1,2,4,8] Kernel\n",
"Es=[0,1,2] #[0,1,2] Exponent\n",
"annealing_times=[1,10,100]\n",
"chain_strengths=[0.2,0.5,1,2,5]\n",
"embeddings=[0,1,2,3]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Evaluation"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"B = 2, K = 2, gamma = -1, xi = 0, E = 0,\n",
" embedding 0, annealing time = 100, rel. chain strength = 0.5\n",
"Energy -63.576530966387956\n",
"On test data\n",
"Overal accuracy 0.86842\n",
"F1 score 0.7326283619575554\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 360x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"B = 2, K = 2, gamma = -1, xi = 0, E = 0,\n",
" embedding 3, annealing time = 1, rel. chain strength = 0.5\n",
"Energy -70.07246567078842\n",
"On test data\n",
"Overal accuracy 0.84796\n",
"F1 score 0.7101128737034776\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 360x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"B = 2, K = 2, gamma = -1, xi = 0, E = 0,\n",
" embedding 3, annealing time = 100, rel. chain strength = 0.5\n",
"Energy -64.84508239813442\n",
"On test data\n",
"Overal accuracy 0.877876\n",
"F1 score 0.7158400268049105\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 360x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"B = 2, K = 2, gamma = -1, xi = 0, E = 1,\n",
" embedding 2, annealing time = 10, rel. chain strength = 0.2\n",
"Energy -38.65519361568767\n",
"On test data\n",
"Overal accuracy 0.868012\n",
"F1 score 0.7030427387348471\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 360x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"B = 2, K = 2, gamma = -1, xi = 0, E = 1,\n",
" embedding 2, annealing time = 100, rel. chain strength = 0.2\n",
"Energy -39.17549258303925\n",
"On test data\n",
"Overal accuracy 0.889452\n",
"F1 score 0.7190133899976616\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 360x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"B = 2, K = 2, gamma = -1, xi = 0, E = 2,\n",
" embedding 0, annealing time = 10, rel. chain strength = 0.2\n",
"Energy -20.652235656654433\n",
"On test data\n",
"Overal accuracy 0.888164\n",
"F1 score 0.7211878857986219\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 360x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"B = 2, K = 2, gamma = -1, xi = 1, E = 0,\n",
" embedding 0, annealing time = 100, rel. chain strength = 0.5\n",
"Energy -38.660751305593045\n",
"On test data\n",
"Overal accuracy 0.845076\n",
"F1 score 0.7018651230457775\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 360x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"B = 2, K = 2, gamma = -1, xi = 1, E = 0,\n",
" embedding 1, annealing time = 10, rel. chain strength = 0.5\n",
"Energy -28.59312172758268\n",
"On test data\n",
"Overal accuracy 0.845788\n",
"F1 score 0.7008867958197238\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 360x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"B = 2, K = 2, gamma = -1, xi = 1, E = 1,\n",
" embedding 1, annealing time = 100, rel. chain strength = 0.5\n",
"Energy -24.946913849585172\n",
"On test data\n",
"Overal accuracy 0.879816\n",
"F1 score 0.726556243174372\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 360x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"B = 2, K = 2, gamma = -1, xi = 1, E = 1,\n",
" embedding 1, annealing time = 1, rel. chain strength = 1\n",
"Energy -17.077607919194183\n",
"On test data\n",
"Overal accuracy 0.859328\n",
"F1 score 0.7156624947446718\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 360x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"B = 2, K = 2, gamma = -1, xi = 1, E = 1,\n",
" embedding 2, annealing time = 10, rel. chain strength = 0.5\n",
"Energy -25.241573461584892\n",
"On test data\n",
"Overal accuracy 0.865208\n",
"F1 score 0.7028761881249229\n"
]
},
{
"data": {
"image/png": 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cf1uioa2krO5WpMqVO4BnTzLWYETsQsHFthXNIgy5HEWpuWgs06IfuZPE7oMMJYpAW+DARsO72ELMHsiQIhZd1ypXLSgdezFyZWB6BddiY/RMg0mamroftc1yOZKSK0FyEp96icpphFkHnRvJ0xgJ1e4TG0XuVr5ajrINzIVT76kVXIxZOzwVDZVQdq3e6LEUXh4SiunI1iCn7aZfou6FHu8hk156+5JmF3ykJiut7a5Beau04EotAa0dnaL1LNy7XY66ZCpltVc7VCq4E6mOn1koei0tZt1toJmcVCSODHN2oEi8skmKXs+TeIaKJep563Pq/Vyz0zrNg5y/hSytdowYz1/sHMlnl5DzXsGRqFBwQHzg70XJjc4T20s7jqKk/XI38nMnJtuNM8JKb/lMyXurXqKeGD0LaGaGrWmzR1dHv3rqNPnn7Dmeta1PSO3tVWPBhZi9o05ID5KWs2irV/8sCzJMyk9Hns+ad9zY5MqpZL1UK7jZlFvMfyJFryVJqzrMMCBzafkaJx+t04n2RFLBEdEtRPQ0EX2TiL5BRJ/Yjr+diJ4gom9t/75tO05E9GkiukREXyOi95YUbEbl5vsuofB6Bw1a5srtiRH+r6Mprtr6ciy41wH8ujHmdgB3APhlIrodwAMAnjTG3Abgye07AHwIwG3b3/0APpN6wEXr856ifxLCuJe2sJltkPqCAHvsl5aMaq+kgjPGvGSM+dPt8/8B8ByAmwHcDeCR7bRHAHxk+3w3gN8zZ/wJgOuJ6KbUc/YmNLX1Gd0es0TJjsbMbTei7Fk+OCK6FcBPAngGwI3GmJe2n74D4Mbt880AXrAuu7wdc+91PxE9S0TP5hZ6NJxcpJql6cxC7KN2Q78Giy824Wgp4wz0fg0XO02EiH4UwB8B+FVjzF8TvVFUY4whoqxyGGMeAvDQdm918uFLbWiZhLw3pSaFxnYJpb30zPCPyZ7GNhsFy4IjojfhTLn9vjHmj7fD3z0tPbd/X96OvwjgFuvyc9uxaTgJaky5leLboH4UgSyt60wWEjfCWRtx9/kCZ5Elbhkl6sOJohKAhwE8Z4z5LeunxwDcu32+F8Cj1vGPb9HUOwC8Zi1lp8DXqNKRxVmEsRYp5aSxraQi5LXsVZbs9i2eCIyJX0pEPw3gfwL4cwA/2A7/K5z54b4A4B8D+EsAv2CM+f6mEP8DgLsA/C2AXzLGRP1s2paonE3Omv1r6+0U7ZDagzn77o4Q3BcRCG97u2iMueC9JqXgeqBFwYUK4WtYbQou5w0XJffe20AsIafPOQpu1jaVUM7C4yeo4KbYiypJiWDVvmSyNbH9iVJLoKOTKwOpVcDMbTqy7Lnj9zAKbsSeyNaCoMLsXeyKHpZlrdzmlFH1XlRJejn2ez2HKyRLCY5npj7olebSi90quFiEq0UDa45kzTTAtCLVtzOlvOyB3S5R7VfK2N9bPWexf3yJvVzs3EppBceJ+mujRTv42K0FB1ztd7Nnz1pBGG2xzSLIPeltGY2IIp6u9SUKL5m4ml0pOG4gQSKDfDaOsCzS3i+pPuC8rfcI/SjJLpaoPSKkGgdPLzN/IYdPVmP9qLWPJaKtp7q1rON0FhznTR5S7G1LVcqqXYzBVhapfgjJ4wgZHSEz3HY6MY2COym2nqkeMyC9Y6EnR1aqPhnj9GWPKCxnD6jkGJHa/uZD/RK1tw9iFsVWSmhp0aLe7hIs9owjvf7HfQMIx2rrORm45Wv9rJY5ndNYcK2ZyWpzaamcWnIS7pktuRK5Kdk3PKtsjka1gus1yI4mPL12QdhtG2pj7rIsh5G+oRH3KVGwM08qJzj1ULdE7aXU9kbuMia0ZCzxc878ZgxJ7DYo2UVjRxR7WOVaXtl0mCjqUm7jKbEGemx9k3xVUQ98AYRUuWxr11ff2LvVavI+NVhzrSxXFQruPPoEDzQIfkt6vgaq9Jnce+xhGRVLMwrVLZUCFbpnrB+4inUm1ttENo6g2LSxB+XUAt/2qtB5qXyv3C1aM4yBXLcIR8Z2q+COqthGWHESCm3PfRVqH056SIqUTy9HqY6mRRl2p+COqthsRmW6t1ZyGgZhLlITiA/pRNuR7WsHtyRldRcKbm9bqlrQ0skcc34v4vjeCHIUOQ4tsyXlZnoFdxRhyGVku6Ry30JIWyoaFCy37CErKpU/WLr8TZWjFfaS2a1DC9/ttAruSDPdDLj9oWWPrAYlx6XkjSK5m8/ta3piK6+eY1ddom+KmZXaSojtS0ny8+m6UXASgd1jse+h+/TClzje8/nTWHAaLDbXlM7tqN7l5z5vdLueaLFtq6Rumq2+HmWTjqyPbE/1Ck6DYgOunolKy9W7s7lKo0Rh1/h5NCqRUt+h1LNLk3VDe35r6lEiC7HcvJCMtW5rdQqOnD8txASHuyzQOKhdWvlyNEYKc7ZDtaKkLXLy51rWJ6S0cpb6rceEKgWnQehLyMnfGmUdjEZL0KHlvUKkIqE192mtwELHQ0rMXZaOlj01Cm50ZCd2Tsl9fZ9HdzaXXqkCPrT6KSWf08OCzQ2wcIhZa6HzW8JpRxVR1IujCxDBDcPn5DVpUmgtBL4ETe0yszLltmNsGd4j4tpC5nLaUYWCG0VuEqb9ebYIpRYktxfl9t/MfWHXwV4GpoIPGiY1CUr7Ts0SVRJph35J42ocTCVKudcA4SzlS9tUS1CjBDvr3xfBDy0bY9HKWQJeQH3f7dKCayHMOWb9rIPJhWspSD4vleh6JEra3afYfNafFk5laiVfu1RwLfDNkntRZCF6D4iSwVziZhjVbyF/WGgJvZeVg49YvSXZ5RK1FzOZ+ie4CaOxYy2QGNxaSclJzdI797yR7TrC9TGVBcdJzBxhWc1mzfmW2zOVv4Se1uhsk14vRsjbVAoOCM8Ce4iU9Wa11XhqJ8eT4ubcZ7QvboS8qVui5iSB9kyejEX2lqKoo9dg09pXEkquxzU1jGp3dRZcTUOMWp5iwHP3RM8+P3p/jdi5MRJ1Cq4GLY260Iv08qz32zFCcJ7rWwHVtMUMvtxdKbgRaMwtWrRDyx7aGDlWban8aonMplgKLgOfMMwWQdXEqe1CFkDLyaN0aQtcabn47jHbpJcq78zyvRRcBI6/ZubO10JtG+YqK6nnae17qXJprV8OS8FZcLdh1b4OaVl9Z3D9Ri1e+5Pb/iOSVH3Py7U6jy5nh1dwI6JqRxe60Ui0/yjl0eq5M8mkm88XK7u6PLjeuG9p8BFzLNt/izKM9VfCiJyu1DNrN8lzrbaZfH0SuKunVDsnFRwRvYWIvkREf0ZE3yCi39yOv4uIniGiS0T0eSK6bjv+5u37pe33W0srI0nolTKj95MeTUB9SEwS2tqxpDyuPLpK7qgTac045VhwfwfgTmPMTwB4D4C7iOgOAJ8C8KAx5t0AXgFw33b+fQBe2Y4/uJ03HK4PJSefqGZQcbfXLNJBHg3KLfUOthJcmY1ZeanrZ6bGgk0qOHPG32xf37T9GQB3AvjD7fgjAD6yfb57+47t958lIlVtLWnyl87Ue5uNR1nCGpQbcHV/ptwesXtwJtDayXU2Si1Ylg+OiK4hoq8CeBnAEwC+DeBVY8zr2ymXAdy8fb4ZwAsAsP3+GoAbPPe8n4ieJaJnM8scxF12tsztqVFQe1JsJzQobImBm1IqJculGn8c51mcsrj3aeWiiS2zOddwypXTniwFZ4z5e2PMewCcA/A+AD+e8YzQPR8yxlwwxlwovkfg84mcbG77c85gHT2oj0IvBZobaGr9XB+1ZWnZlu74KdlCFjpuKz3uOM2KohpjXgXwNIAPALieiE5pJucAvLh9fhHALQCw/f5WAN/Lec4Vz4z8AfHOzpkVasq26MPI/LOS33Of1UqefIZArj+vNz7lVgInivpOIrp++/wjAD4I4DmcKbp7ttPuBfDo9vmx7Tu2358yxhSVr8esyQn3p87REI1dyOIqglwrv+Wk6lK6BM5Nc2op4z7/pe+ZuXXlJPreBOARIroGZwrxC8aYx4nomwA+R0T/DsBXADy8nf8wgP9CRJcAfB/AR3MKFIpESTVsaGYI7Snk3GspNj20iExzg0IzyEGNMmxFqM8kotJUaFyJQkQGKBeQlKLhRk1LO1E6PWARhiMjUu3P6dfRo6e14unxHPdZLoxnXwz58lVt1arJacrxl9REtTj5dBwrooWlsZBFyg8kRU956ancYtQ+W42CyxWenOWhz6HqNhy3ISVN9qXk2iDdrqP7KWdp7I6LknLnKDeJVI7T+S0mEBUK7rznWGr2dIWuZUZ76N6xZ6YGxVJsc3Hqz5ZWXM3KovZeude2WDG1aF91m+1Dzlw34sNZKsZwZzjuPWoCC6OXOEekdQRTihylEoqCSvmQQ+eURoV95/fypapScLVRqtoExlYzon3vpeTKKWk7iUESSmGovWdOMmypT6xWkUilhtSme5SiYonqIxY65qRvtFAktkCuvLe21LZtrd/MtfBL3CElWfwhJSC5fO15j9A9D6/gYh1vC29t5PU0kxrnmAQSSZlHQtuEwfGhSqQI1dzDpzCkMgZaElJ00uNDrYJzsZWQr1GkFFNuFMp+trYBqh3N7eWbYGN+35xlpi1jtW4VHzNNoq0j1KoUXGnkUcK/ZS87c3wjbhlSz5Ckt7lfi2aFFrOEYkqodbSyxT1Su3c4vu4WwZsWcqxKwQFxJdd6QOf41npZbKNzsGrQptBiS7fcpN6Qfzj2u5Z+rPVha+vXGKoUHDeoID171PoBei9POYnLo5hJ+Dlw27VVvWez0ktpVT8VCu4i/D42N7DApTZHrhUhP05tesxIepctNdnVOtW57olYlFWSUYqtJt9TEyoU3IlQo8a2g5QmEabK4EMq9B4LmJQ+p+dMr0XoS6OFvvSL3DodJag0ez1VKTggP9m2hVM0FcKWyrHK/W0Eqf7oXd7aIJBksGDvy8YTM1tzanYy+DKd3b9c7Oti98jNspZwINcuw0NIZp2n7pU7GZUgZeFKXHt0tPZpDHUWXOuZlGt19Jid3QRjKUoszNrn17ZXKj1oZPtoCuKMptaac63v1hOOGgWnQYBKBblWoUh2ck7C6en8kue3nM2Bq9tUamCd7pHTZxpksyUlvkwJBdXDmlaj4Gxaz5g1UdZULlWJs7qkHLF7ucSCNNx7tYj45jyfc80sSMq3dHBJsmxc2W7ZpyoVXM4gauXs55xbKgwpH57UzMbxoXH9iTWKrdVypGSpWXN9La7VLhG0Ok2qNYquZ7AoZJm3QqWCK6Gkg1NKJZVjFRJYzvNS53H9hLGlLkexlCjulEXYKmWl9+Bozak+qbbmyFWtsq5VsCX36NF/Uyo4iSimja+DOAPfdpgaz+fS8uUu80LPzg2mSOTmxZR+rZUqPSB6K8hSZcC5pkVdUhM859mSK58SplRwkuRaYS2Wx7mCExM8n4LlDqzapWTKCk5ZX60sP03MsKQO9b+EpdbbLXBoBccdyK7SqLUgfYKbez/JgIJ0FJc78/uurSU0gErL1IOcQa9hEkiVwa6PLxDXk0MrOJvU0tL+PTVYQvfyKUnp/C63HNxzXWoiYFKKyr0XVxH0cphLUeISKA2wcK7h+oBjZehtqYVQs5NhJD2sm5ylWuo+uRaK8fyF4AQKyPrjUrPstcscWz61UGyt7ut7ju8z95oUuRNqjkXptlGubLTk0BZcTieeOs04/9YQs+hKli32fUoocSKHylK7NIkpcV/buH0jhfT9TrTw5abudaoL15rLVYparDabQys4HxwLqUQJhe6FzHtwloS1A1KiTiXnl/odc34v6TPppWDMB1vbd6nnl7RBC3dKL9YSNUCtNVNynsSsPkoIyfkL+SBdC8JezkiVvZVfMOfZuUtb6fJx3BC5cP2fmhThsuAsfNFSn9KRGpBc5ZZy5p6uyS2PlP8vdr79LE6KihRalkquRdVz8LeIuIbqYR/X0vbAUnBXkbLcXD9PS6vLt3QJKUW7DKEy1QpfybWahB1oXx5OX7q4QSdpJdhS0XGPj2ItUT34lNfJ9LYFMOX74los7vLOdy/3ORzllvu7JJoiaVJwUjdcci3XWmU0i+LpxbLgIoQUQs5yI+aP4gp+ygntKsuc8hxV8EvICRzYx0uDSCUTkib/lwaWBVdBbSqELz8tJ7rItZJCCnLPyi3UliMUQMoajyHRR3vu5xTLgtvwOYNDEcHQUtU3W7eMDKae4QZF3M8aHMIt/EOn+3Eni9p2aK00S2RqdL9qYVlwDEKWms+CkhD2mDXnO68UDYNgtK/O528tuV6iDNxzNfTbLCwLzkFC0EvuEfLrlaaBzDoIJC26Hm3A7ZfUeTkJwq6Sq0kc3ztLwaHM5OcIZCqlw3d9LCjBuX4vSNWXG8yRsoRL0kRqnnf6LnX/Vi6DFnDKuhQceJHOnOglZ9kjsbSdQQhzOfVFStFrq3uPpWPPROm9LIWXgvNQM6uXOoBzZuFZBc8XwfUtr9zgSGsnvsT9Q/mRseWj5qWlhrKkIv6cMbMUHJNQNDV1DReOtTdbjlOJ/9CnJGJtz8n7Sz3L/l4zsH3R9FhiuAYl4qKlTNy+SJ2zFBzCjVnS2dxrcqy1lF9Hi1C6pLLqa/LDWiGxNOulyCSXkdpkSaoch1dwPn8Zx2lsI2Wphe4bW87NRqk1KulIH3H/VhwlcbuUwys4d8ClHLk5SqZHjtoMzmAJ66CFcp9VqQHy5dYuQ6UcXsGdSC2ncmkRFXUH5EyDM9cqzkHKdzYTORPzkVkKjkFs+VojYHZKhH1P33Hf80uf25NUfWrvG/qeutb3XXtb+pixzD1ZCo6BbTmV+I7c63z5c7mW2SzWW8uUj1L/U0trksvMSnUm2HtRiegaIvoKET2+fX8XET1DRJeI6PNEdN12/M3b90vb77c2KrsapC0tOxfsKPSqr4ZAzaxuhhnJ2Wz/CQDPWd8/BeBBY8y7AbwC4L7t+H0AXtmOP7id1xStQuJTcjV5WzXnaqAkLYSQbrfcduixnSoHrfK7B1gKjojOAfhnAP7z9p0A3AngD7dTHgHwke3z3dt3bL//7HZ+ETWd33L/Xw9iA3E25VaCRKKn1HMksH22iz5wLbjfBvAbAH6wfb8BwKvGmNe375cB3Lx9vhnACwCw/f7adv4VENH9RPQsET0beqjt90oJhu8cso63EqzWg2NPA0LCOpVMbHV9eL0nDdc/uZAnqeCI6OcAvGyMuSj5YGPMQ8aYC8aYC6L3Tfwmte+wZkCENu4fQdBL204qodV+ds/2doMKS7ldSauJnBNF/SkAP09EHwbwFgD/CMDvALieiK7drLRzAF7czn8RwC0ALhPRtQDeCuB7OYWqrawtTJIC1CLNwV5uhpaee12SxiKrbp2lk3I1KLeWz5tRXlqUO2nBGWM+aYw5Z4y5FcBHATxljPlFAE8DuGc77V4Aj26fH9u+Y/v9KWNMVDbPMwvrW276lqWzWkO5kde9LF85UWj32Gx93DtKPKNstGijmleW/0sAv0ZEl3DmY3t4O/4wgBu2478G4AHOzWKKKmTVuJbaTAJ/omaZO2N9Q+ypLjYjFM2MY6FVeSlhXHXhApE5RRpCFQ35rfaOLyF0z0mie1Pciy5cDPny1e1kmOndWSdaDkoNWfc90dzPrVhKvR3rf9WqoEX6yRGU2OINQgEWTWgrTw4qLLiLmG8G4+TluVHCWB050VTg6nsu9oMbPOsd6Q35uu1/bXrlgNY8Z1lwAuS8xYJr9XEEau9Kbu+Z/xJ7UiVzO3337vHsGLVKdCm4QnL2lPoiwqFN37NZsj3IGUTaFWLrnTUjaFEXqXsuBTeQ1AZz+7y9DYoUJXVt1T7a273FpJi7RJZuI6lUl6XgKijthBprba+KrvUrhGrbreVSMKcM7vdWys33vBlZCq4xMSuNe10sg38PQgjIvRUk5UsqaS/pRHLu/Wyl6lNu0uxx8lwKrjGlVprvPss/l4/2AVvyhpVWid61LzHQyFJwFbR+BVNsRg356LQP6FKk6qV1IMbo2acztk+MpeAqaCkMR9lo35JQpFrTRMAtR2vrzfesVuf3REWi78LPSuo9IzeaF3q1Ui8nfQ7uK7OAeH/3Ki/39VSj2y/FUnABtGzu5wrZnpUgVxGVRP9GKblcJTbiBQt7mGCXgrNomUfVMqcoFHGdkVDdOW1YquhbKI/Q8tj+PovimKmsLkvBdaDnsmKvzFY3jlLwbb1L7UGOkZoEaqxVzmvMNPbRCjJYpFIxtMxisZeBailjCSPL3mJwanLW92jb3v3HCRYtC87DaJPc9/wcH9TeqMkVG43UzoWcqPrIuvf0FXKesSy4TDjROQnc3Qvcc/dETXJz7lJPU+qIi5T/tpWVqln+loILEFMwJdZVaRlSz3Znec3C1ptYe3B8SqOR7s+We0y1ukqWggugpYNsfAK659csSW5wP/2lBvms7chVhi3TYjS23fLBMah9CwVQ3vkaFa2PlvWUHJSj/autGV0/bUpuWXABpLZK1S4zYm8ScRkl2D0c3JL31TYIpbGtejfa3rru2iaPpeA6IG0BalByKYsrZ3nJyReLZfeX3Nt3z1xnvoYXHISe76tLL+XWsz1Sz1oKrhOlGfYaAwe2IKfqVSvsNcEAzoAL5RNy7hs61lP59UyLkaxTLyW4FFyEkhm99j4112nLAePiKhiO0sldrvdUAKmySDNiEqyVd0mfaoyl4DIoHXA5pruExaPN4othD5SScscUSol1VspMbS7FKaDhtrePUZPuUnCNybUktCei9goicOvLVSy+PC0tbaodiXYalUWwFFwCu2Nqlj327FYjMKMd2rnU7sd0FREnuMGx2mL9WkLvHQRcWirx1j5iiXKvPLjGhCJ1uZ034xIoN9WGs9ThLIG4eXOuksuxBo31L/cZIxj9/Bokyr4suAStZj+p/YW9kFbI7v16+st8lFqaMyuQXoyU36XgHDT6ZSSWtprwKbea612klU5qWdyrHNoo9X/2ZCm4SmJKR1ohjbJwRi6nRyv0lO9vtOXZg5nrtxScB4l0hdEDcwQlA4GTy5Zj8WlQrjMrBC6z7K1eQYaNEif1CY6/aVaB5wpkSf18kUytQZgeyat7kJOcCatHXQ+n4KRmEG5CY81MN6uwc/HVMbbch+f8vRFT9KPr7vqC3ShyiS+1dZ12r+DsRpQ0jyWTUI+GOzC0Lud79p9PUfjcHhpkyt1Wx2HUxLVbBTdyAEl0lgZB5tKirLPuq21NL4tOaiWS+7xchZk6fzcKTnog5CZ+9npW73tzkllzcctEgeOp31oyakmcmx9ZU75QHVv0d+65HF/e6XPs3CkVnEQHcC2E0ABvMfC1EmsrSQXgPidnKSRpcdQEnEoplaea8sVkW/I5I5lGwWlTJlrKkxI8aQVU61TmXJc72LX0RS01Su50fckzJc8LXSvVR7mKVq2Cq22QlIXGuX+vgeNbImjNEi8R1pJ2rHFe1yxrpQNRpXmBI5V2SmHm1ks62T0HFYm+53Fl1v9eZuQUsex4zdQksvaomytL7l9PapKFRxHbGthjjErWXZ0FJ2nK9qB02TarT6OElgGUHvc7Sg6ej1CdU3mgMX+qfZxLaR+oU3A+fBnvLe4vkT3PVVxHHCy1SOQ0cvyVMUUnucMl53pOMCxGroLIVWz277blF7tPbtCqpD1VLFF745tNWijOoyy1j8SoPo25BXL9YbV1kAoAhVKCap7nokLBXWSeJ+msbmVluVbA3pTcCD+W+3wOPoUgZTWPrH9JHXzlLa0DdwcP1/okxJW37345qFmixqJzOUIdcora54TO9zWifY772Xdu6F69MtBbo6HsOYOztf9vRHtIJT+XRnlPk5x0uk8L1Cg4CVqlI6QSTmfzubnCOUPAIzRBpPq8Zd1Gtxnn+S3ap6cfMgZnktGi4P4GwPOjBaYR7wDwV6MLYSO0dOtarxqndybvIGX9VYNTf3WyWINVt38SOkeLgnveGHNhdCFaQETP7rFuq17zsee6hVARZFgsFosWLAW3WCx2ixYF99DoAjRkr3Vb9ZqPPdfNCxkzOpC7WCwWbdBiwS0Wi4U4S8EtFovdMlzBEdFdRPQ8EV0iogdGlycHIvosEb1MRF+3jr2diJ4gom9t/75tO05E9Omtnl8joveOK3kcIrqFiJ4mom8S0TeI6BPb8T3U7S1E9CUi+rOtbr+5HX8XET2z1eHzRHTddvzN2/dL2++3Dq1AAiK6hoi+QkSPb993Ua9Shio4IroGwH8E8CEAtwP4GBHdPrJMmfwugLucYw8AeNIYcxuAJ7fvwFkdb9v+7gfwmU5lLOF1AL9ujLkdwB0Afnnrlz3U7e8A3GmM+QkA7wFwFxHdAeBTAB40xrwbwCsA7tvOvw/AK9vxB7fzNPMJAM9Z3/dSrzKMMcP+AHwAwBet758E8MmRZSqow60Avm59fx7ATdvnm3CWxAwA/wnAx3znaf8D8CiAD+6tbgD+IYA/BfB+nGX4X7sd/6FcAvgigA9sn6/dzqPRZQ/U5xzOJp47ATyOs2T/6etV8zd6iXozgBes75e3YzNzozHmpe3zdwDcuH2esq7b0uUnATyDndRtW8Z9FcDLAJ4A8G0ArxpjXt9Oscv/w7ptv78G4IauBebz2wB+A8APtu83YB/1Kma0gts15mx6nDYPh4h+FMAfAfhVY8xf27/NXDdjzN8bY96DM4vnfQB+fGyJ6iGinwPwsjGG+/axQzBawb0I4Bbr+7nt2Mx8l4huAoDt35e341PVlYjehDPl9vvGmD/eDu+ibieMMa8CeBpnS7friei0N9su/w/rtv3+VgDf61tSFj8F4OeJ6H8D+BzOlqm/g/nrVcVoBfdlALdtkZ7rAHwUwGODy1TLYwDu3T7fizP/1en4x7eI4x0AXrOWe6ogIgLwMIDnjDG/Zf20h7q9k4iu3z7/CM58i8/hTNHds53m1u1U53sAPLVZr6owxnzSGHPOGHMrzsbRU8aYX8Tk9apmtBMQwIcB/AXO/CD/enR5Msv+BwBeAvD/cObfuA9nfownAXwLwH8H8PbtXMJZxPjbAP4cwIXR5Y/U66dxtvz8GoCvbn8f3knd/imAr2x1+zqAf7Md/zEAXwJwCcB/BfDm7fhbtu+Xtt9/bHQdGHX8GQCP761eJX9rq9Zisdgto5eoi8Vi0Yyl4BaLxW5ZCm6xWOyWpeAWi8VuWQpusVjslqXgFovFblkKbrFY7Jb/D04FN01VvG+JAAAAAElFTkSuQmCC\n",
"text/plain": [
"<Figure size 360x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"B = 2, K = 2, gamma = -1, xi = 1, E = 1,\n",
" embedding 2, annealing time = 100, rel. chain strength = 0.5\n",
"Energy -24.475775335015406\n",
"On test data\n",
"Overal accuracy 0.887352\n",
"F1 score 0.7155008687921768\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 360x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"B = 2, K = 2, gamma = -1, xi = 1, E = 1,\n",
" embedding 3, annealing time = 10, rel. chain strength = 0.5\n",
"Energy -20.584173298714248\n",
"On test data\n",
"Overal accuracy 0.873544\n",
"F1 score 0.7167051992042585\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 360x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"B = 2, K = 2, gamma = -1, xi = 1, E = 2,\n",
" embedding 2, annealing time = 100, rel. chain strength = 0.2\n",
"Energy -15.571795807843738\n",
"On test data\n",
"Overal accuracy 0.857188\n",
"F1 score 0.7195871916307344\n"
]
},
{
"data": {
"image/png": 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chYCribwv9dBZwarzoDetbH+jw0YshaRY7PezEHDaxIzNVraiwLzbUavUblU5lLSdBcG2x1r/n4WAKzUypybs3r7m295GclTBNtpjmHp3tBZ3wpqws8BhBBzX2JubjOT9zWFJqB1RsGnnl3u/pUNDGvfXIv0eaHqtazmrODh/a+k7CGZj5ji2kYTqsI8rK60jNzZNMzbuCP3hdn+163MIAee8v3ukK/YsLOFmC24gOPeYV4tz0efI9FvUHsZfS/Teis7w4wAaaNn4Un0jcUL5u43Z2r/HWVwOUws4jYkeO6JjTTDOEO5hrc1GwT0zy9HkZhNsJ2pCs1JI22PaLar0VILkQLalQWVdqGm9exS4WtwiDkfT5WrD0wo4Ddapgx9SE4Nloc0swQ0p0dyBWOsDrk2yNWch4Kx1foxZBFsMq5PNMtZ2DBJGlp2b77QCLrdCzDRoejsNNNOysErPzqxCrnWZNdrFpJOhxqA+k2HWojNDSujY2ux16oXELswZK9baXWse1tTLtAaX2/IQ4xmLjNqKniZJy7aaqR9K8fsvVufasRnz8KeenVUbDOHbK0vqZUKDux3pVSq3FZ2lQ3tpbPs2mal9ZkAyPkvPqNbuYEpp+WsntWmUmkNMCLhzoLdgA8KDq4VTodd7I2m5OPlCbsSCZFHz42rKKZaA60DrCT1KS5PkOfO5X07/1WhxmpQKYkt9olkW0za4Wek1mVv9aoPmas4xjFuaXD69tc1Te3CCXDnpzIhmm5vX4GayIYVWz1Z2jVnaZE/KQG7RoywpT+ufcTphrY04jLQLZgUcEd1MRJ8noq8T0deI6EPb9TcQ0WeJ6Bvb39dv14mIPkpEV4noK0T0tsoymmeE86A1WvWZURCf4DoJev30kbRPZhSG2nA0uJcA/Lpz7jYAdwD4ZSK6DcD9AB5zzt0K4LHtOwC8G8Ct27/7AHystHAzTI6jCbZTfiPystjfqRCl3r+YYbF9rJMVcM65bznn/nT7/H8APAngJgB3A3hoe+whAO/dPt8N4PfcBX8C4DoiujGVxxXM97M8PbS2ke3Rc/LO1O+ALbvqLNT0cc08E9ngiOgWAD8J4HEANzjnvrXd+jaAG7bPNwF4evfaM9s1P637iOgJInriFfdgs6N72oos1v9cIcQX4N72Q+m4OPdtKlvAEdGPAvgjAL/qnPvr/T3nnLiPnXMfd85dds5dlrzXCxf41wsrwu3cJ0eMkoB0yXNW+v8IsAQcEb0KF8Lt951zf7xd/s5p67n9fW67/iyAm3evX9quTcOoo1TWNFeNsmj9JJBFYdtSyGmc3ukxnqT9IimPRvk5XlQC8CCAJ51zv7W79QiAe7bP9wB4eHf9g5s39Q4AL+62sosdFoWaVay0UU9By9H0QqdXeo+pVm2yX9iKj65d7C4TDxD9NID/CeDPAXx/u/yvcGGH+zSAfwzgLwH8gnPue5tA/A8A7gLwtwB+yTn3Cjubl4eJBdqqHUVC6yDjGX/cQAvNuLgjtGNorHHq1eCc7ZWYqSsr4HowWsDNbl/LbWcW9Wgff5pdwNWcE62Zb5F8ogLu7I5q7Y+wzKyxjV+WFjlSQmxWwTYa6RE080e1tPD38+ci3JYgHE+qD6z1T8xxkopftCysDy/gRnrgLHf8wgbWxkgozs//XHuQv7bOkvl8WAG3F2y9jx5ZW9WsaQknrJYrhNaktBryEmKWcqY4rIDbc8TzorMz48/5WCqvRghFDtr9Je/7LBxSwPW0r40QbCX5WVuNZ5oke2r6XMvBFdo2toIT7lKilfbq/0MJuNmdB4vjkxJOqd/LO/21tlBZ5xACrvfvsVkQbkfQ4hbz9knIvt0ggLea6QTciEPwVoRaS3puexYvh9P2owODQ3NtX6aSOVJSF+kWfxoBN0I9ty7YtLW4nm3MzYu7jZsdrn2udf19xcEXYoh8r82zxbPABCcZRv2yxywQdNrolI5m3feTw0/7dM1Brw69KS13blvn90Hv9vH7qXVeLes2jQbXA+samxaxAaVhTynJL5dX6x8QqKFkzPj14aTRq97W2rcWsxrc7Afge9JqFewRsT6r9uYzsh41ArbkfStw7JLmBNwSbH2ICa/RxuyjE2vX1HZeml6ub7nP96Ll4mBqi9o7QPdIaNXHStv45ZhByyOkt5ypdt1v1yUTPuas8T2z1tuv1ZgzIeBuxwr3GIGVQR/TNqyUrxT/qNOJWIhT6qB76H6OI7RhLSYEXGuWYOvLmlg/JCTY4F3z0TrSxcXK3GhRjkMLuHMTbKNONyyBlkazfUIhJKFrEqz0X4syHFLAnZtg2zOy3jUDlNNnFiahhNJg5hM5LS6nHUoZ1b4tBeyhBNw5C7YaagdXzjO4kJFzMszogPHpddTyEAJutGCbcYBx6F0vjqYiTW+WvinV4rTDenodBeuFuTg4CVa0NSvlOFESVxSKhZLUq+Xxnp7nYwHdkJvSc5aS+Lb9PasCfVS5ptTgRmpsJStQ7ADz4uVo96kkPT9ubBTS+LkWaNW/1zY0xVQCrqdgC3VO6QrPPW+oySiPamukZeS0g6V6S87lWmW0UNszhYAbbWMDdLcvo+uiRekgtjD4LR7gl47z/ZjcBxUj8FmKdGu9/2elPQHDAm6E1uPnz7kmDQWwftZWUr7SvrEyAWJCTrN8NWdKT/hCw8p5Yc4xsdGYE3AWtLUT/vnA2DPc+K0Rq5uVttREcwLtJ2mrsVebZkg7S6XNGbccUp5bS0IshSkBZ3kylnrDLG6FcowMFejVRqP7IncwPwe3j1otBlbItZ2JMJEr0I3jiR1ars3Dmn2Bi6XwASvbK6Bvu2jUVyLUtOpmZdzskbSlKQ1Og9RWUiM9zirm23Msbbu5tBrYsbYYNZFm6ZvQwiAZh0egpK9MaHCtOVpH98SfRCPbcm9bmlWblpBygnDCSaTvWKS2j6cUcL3tWqfBMfOEKj3d0JNTG8fKOuMErYXjwOJqddaFXIv5NaWAO2ElwntmwSellaBv3YYWnD2h8ZNaPFPljAmr0HE7yxpv6zJNZ4OLGaktHAuxzkxByrOdQIjBGZfEeCb23ikPznPnyDQanN+Jlga31dUxBHflDyH14p0rpWPznNqsV12n0OD87UXImzKrt3I0kjbTisqvpaSPe42LGjtnSdtItDgLSkHvOWpOgwut/tqhH+eOpXYriYtLRdjn7Fa1tNBOawWPVHiNEHajxpw5AadxtKSVEdzCCjg73MWLy17gSLbZ1oSUBhLh23o8W1lEzQm4GkY26rnbnc6FXEhGjeCoGT+cd3uFVFliChucZTQ0kMXYI1OlPw2US3cEPX4Nxk/Dsv37UBpca0Krc63mZnFQnCj1tpam3TP6Xtpv3LYYvWD1CEq3PGZ9lgaXoEdc3egJIaHkXC43rdg1DiXxYy2Em5WJzzn9wH12/1zqHLHVcbw0uB2lnSQ1XGtrga3YhyCMOr2grcWF+ipXDl8rygXt5p6RMmo7rB0+1ILc2FwanBCNGC/LNosQRwrTiZWZc9rAf74XJe0sCaXZj8UZxqZEY1wCjoFV9dsKte3T+5id1iLVEsmpEYk3t3WcYEv8unJ2FlkBR0SvJaIvENGfEdHXiOg3t+tvJqLHiegqEX2KiF69XX/N9v3qdv+Wwvo0xeGVE0vawZoDYlYhmlrttTRazWNkqTJw82olCPzxmBNQs44ZKTWLH0eD+zsAdzrnfgLAWwHcRUR3APgIgAecc28B8DyAe7fn7wXw/Hb9ge25YcS8dTVo2Fl8wWp99cwxInRCO/3aIHPt+o9+3wo1GndWwLkL/mb7+qrtnwNwJ4A/3K4/BOC92+e7t+/Y7v8sEQ1t69rzfrH0YnaLXB4n1foIgg1oe4KEk68VQo4LSZuExlFIcMauWUWigYV2VkD5XGHZ4IjoGiL6MoDnAHwWwDcBvOCce2l75BkAN22fbwLwNABs918EcH0gzfuI6AkieqKg3EFi205/4NUKFv99qZZ4BKG25yiCGnj59jDWrxxtrVa7b4G/0Lewe4bsZLF7nLKE2lky1lgCzjn39865twK4BODtAH5ckEcszY875y475y4XpxH5LKVEAKa0liNNeCtI+qQFUmEgCUOR5qHhVdW2H3MUilAf5up7cpbkFJcYIi+qc+4FAJ8H8E4A1xHRKY7uEoBnt8/PArgZALb7rwPwXUk+0fx3fyWDzW8g6UTghBb09AKeK73a13o/Sr2j/rshLatWQWjpeEld0/CivomIrts+/wiAdwF4EheC7n3bY/cAeHj7/Mj2Hdv9zznn1MaM7xqOJZzyyPm2sxi1nr3FfHA1DK5nV3vhKxFuqTpITDba9dFy0qXgnGS4EcBDRHQNLgTip51zjxLR1wF8koj+HYAvAXhwe/5BAP+FiK4C+B6A94tLH6B0e3D67gtGP00tgRXKp+a5hYyadt07f3wNp0eoSimSOkvbpkZbzBGL1cu9g917ubqTonJVDBG9rBD7fbbEJhHT7jhuZg27hl+elpyrgGxlo9qnHfOG18b7taTFWGgp3HL5cPLd9deVmC3f9FlUqZ0t9w5HKGhoeqX5SDhH4daakOYfYqRA69XvJWOe+6xPiSbHxcxRrVZu61Pafj4xemxFOMJ4UU6L0IdWaXOQevZPnzXKyskzlK9mO9XYwU1ocLcHrqWCZkMSP7cK5Bo8pVHt0/ZXtli6ufQWc9HDJKBhHytNS/I+V3hJtLrYXMq9W+1F7UlolYqtXPvrJepx7p3Yqr2E01wcKXwnZhOUeEJr8i5ty1yoR0vMCLhYYKTfqLUSPUUsn5hXVpq2Hze3kNGzzfZ9FXNixcgJHP9+jXAqDRHhorVA+OO/l6JgRsABL2+EfUOkBN7++glp40kGbSzPEC23EOdAaDxI3q3JN0ROIKWuxYReaEzF6ivdoYQW0xLHnTY9ow9M2OCA9OqYExQtO6K20ZemxqekrXL9XxNrlbum9a6v1WiPudRuJPduK2KanLaQMyPggLhAaTGIU/nt05U8z2Fpbj8k12cpRxM3jX06NUjHCjdN/32NstbGAfak9ZbVlIADyiW7v42tyT8VVOjfb6lBHhGJ97u3zS1mgpBsSSV5WFvsRo7lVl5qUza4E6mtamoy1NhqfK9saCJqeKqkHqXZhWfKjtZ6Qvlpp9peal+N5Zcag9YEWoiRZWwxFsxocFxD/54WDcKddPvnJBO1tg4zTB5pnFQrYpp4i7aybAeehcM6Ga5sfyWxaSlqt6uchtZyne8/x4SfdS2OY0vTrAPHJish5YHPjUVN21kIzXQlYS7WxxwXEwLuhKYdTZsaQZkSZKltsSSPnvQM2YilF5uE0jjJ2JhrGW/Zg5QtWbJb6iXozs7JECPlAGhRhhrPWWwLm9PcrJHaFo9c6f1JuDzcP0SrLr0F3T4vjTqYEXC1gY0pcpphqkElwi7lANHSTkNph8qileZ+C8Yx2msTyrckdsrf7h9JmHHIeao5Gmtrh9BhbXB7RsYB7d/XbvB9eq1XxZKy5yZAD81au11m0I57sRdQ0kU+lEZNOfw8Y981MCPgUg2bGqi51T2UD0fT4k4MiUbQI96rl4NEkl/t+/6kkNqRTp+PYjgvQeLZ5phlatuyZMEswYyAi6HREC22JSH72uhJlFskYu/kQk8kxvdUXrH0S8q0z6ekX0dpd9phPi22mJy2aTXWtfvEvIDjaG6+kMmlUdI5IzpTEo9XGl/HzaMmjRL7o0bb5OBMZE1BmCpzaT6n/tfcYrYU/Kl6noUNTkppo3AmXc6AX+IN5WpA0jCFVOhEC0ZMlP0krhEGfpo1nnItUgs5V5sq2e5zy5FKq0ZZaN2+0wo4DU9hyhuXW21jZeBur3KkBl8s5KQUjW0nN2SjxoajORmsOB84ZgWudlaSN6cfuH0aemc00wo4n1I7jP891+khra12yxtbgTkDys87FlbRyo6Wej4lpFOTokb4WPacaizKknQkO4HQoumPm1LNq3XUQIrDCDhNcgIrpblxhFLKPV4yyWu3xtpeVa5NKPSuhNCE42gTvQVgTtBIbaia5pDUsyVlGG3j8zlbAcfRfGLEJkytYVzLcM4pi1Z+J3ytkpNvjUCL5V3ybC7P2gkptadyaKHNnajZusZ2Cy0iGTicrYDbw10NJR7AlJYW0+Zqt2Yl90poPeEBuSawn8Al9tOUFlWigeXw3+GWP5QOGPlLHBH75zn3/XQtmQiWgIuQcxZo2Yv2aYbuS7TCmrKEhG5sAvYoTygNzoQrzTNmdjjlmzM/SPKWOA+4cNpdmk9K4MYWcK28tThrAScRKpqeS65NiKPea3mw9vUOCTaOoOU857+zJ6cF1Gz19m1ZOtFzlAp3ba+49nawxHxjRYsz+Yu+R0CyFUghHfyjtqMSIbB3Qvj3WtB6ssW2t9I6atdf28YqFdojvKY+Z63B7YmFNKSua06cmtU/ZeTlwt1+1mpoPVb2WrNBSR1jbT46bEU7/9i2tUZDbskScDu4htr9s6UqOce2FNMA/LxP11LG3n05Swdhr3eklAql2DstF68YpQuTJP9Wgs6qgwFYW9QfEBIGIUNqbCCGVHKuwZW8f7n3S9T/U9o9V9ie+ZS0R+r6iC10y/ZqlbY1geZztgJOGoYgeU8jbwn7CZIz9vuewaMgsRVyNHWuk6N2glvzOh6Ns92ihozCJWERnHykhuWQFpd7LnUtVBcLE0g7pCSUtoV6pkht8VpuW8+FsxVwe1KG4tSWNPdMLM3U9RgSb6v/jvVJDvC39/vnc2EhRxAOoYW4No1z4pACrrWdKaY55QJCuXA0m9xAn2FQc+xdrbdwGrFrGmWQ5C0R3jOMg5YcTsCNWrVjkd1a6aYG9UyDOCS4uIb9FvWsCauRvJeq4/56qo4hrzknz3PmkE4G7uDjGtq5k9F/J+QZzT0n1dhaOUJakAta5mxLpUKlZVtw+xjgl10S2J0bV7F0jwKnTQ+nwXHtTtzB5qfHFTTSwVnq1a15zgp+O+faQmqv64Fky5h6NhUmlDKNaDKLg4bD4QQcF86Wz19NY4NPw2EgmdgzDrzc1mxE3Vprd34e3MWyNK/aZ/bPatmTa8iZJzhlO4SA69ERvoahoXGFTiWk0pptm5ESWhzvdG9qxlFswZMspJYWrtFCTivfKQVcr+MhUi2tpBzcCT2jcNPWVEqQ9onGxJLGHJbm1ytaYISQ08pvOgHXe7LUGHpTK3OJm3/0loFLT22U0x6ztFsJrb3MLdPtwXQCTntytDBYtwoZSQlKS4Owxj5Zkse5wHVOtMh31vaeTsBpI90+tFwxpcLbonDL0crrV9IGs9k1ZwoJssKUcXC9J7Tb/dvHPe2v7wnZYFrZDC0Lt5ZOBN/7qqXdHEHolZBynFkeYzmm1+B6aDH7QV8aEpIKbC1Je6ZJeEJbeLTSpvflbDWuNNO3koZF2BocEV1DRF8ioke3728moseJ6CoRfYqIXr1df832/ep2/5ZGZX8Z1j110gHEiY63PCh7B+OWeqM1AsJrkJ7OWMiQbFE/BODJ3fePAHjAOfcWAM8DuHe7fi+A57frD2zPFRPbBlpHEphYaj+yzD5usEe4iKQ9OEKutdGecy31Pvckzui4wtHzliXgiOgSgH8G4D9v3wnAnQD+cHvkIQDv3T7fvX3Hdv9nt+fZSLZsvSa6phDi1i8V/T964HDo4U3VInbyQHN8adm5OAuGfwpnBL6tWoJWmbka3G8D+A0A39++Xw/gBefcS9v3ZwDctH2+CcDTALDdf3F7/mUQ0X1E9AQRPRHKsKSCozqyJt+QLeY0KFKD3roGp41/zKmWmE10RLuWLp6xBcTaCZETkjKUCkafrIAjop8D8Jxz7kplXi/DOfdx59xl59zl2zUT9vPx/mnSIkxEeyJbobY+Ka23RPvpTWuBatlemxvTsbmp0T4cL+pPAfh5InoPgNcC+EcAfgfAdUR07aalXQLw7Pb8swBuBvAMEV0L4HUAvsstUIkQynkjWwiiUD6lpLS1mYMsfVrY4mawX/Y4bWCdUDyp71VvMdazGpxz7sPOuUvOuVsAvB/A55xzvwjg8wDetz12D4CHt8+PbN+x3f+cc449pksrGLKdaG859hO01WkFq9sLTbj9E4ofnFlA9HC2pOy2lujVjzWBvv8SwK8R0VVc2Nge3K4/COD67fqvAbifk1hI64pNhNC2c/bBfyIXJGxtoGqQ82LGBN0M/R2zsbbMayZCmp2mOYkEylUzLhO5k6ch1flWVP0aT1jpu7W2pxmw0r+acLddtduzmFlmtjYtbIcrzrnLoRvmjmqlvEHWV27piYSYVlqS5xGw3r8l9BBuqTx7xSFq0d0GN5KZB3pKU8t5S89ZyJ0rIbNLyemM2JyJCbl9Xhbtd7V5mziLegVzCTPf+5O7H7LD1OR9SvNIHtYckq0emM9aoFaoSLagIXtXLi+t8JwSNASrCQF3TuQCe6Wr97lQY9+0Sq68reL7uHbgXPl6LCa1aZveos5MzGsW2yrshVwsvVm0kqOgLTC1g85L09AeRy2C6LV2J0vAFcL19qZoHZB8BEoEgoZdM1QGC2htFUM2YI49rhdac2EJuApSEykVoZ07upLjiMHAfntJhT/XjlQjKHu3cSqYXKMsKSFXgsVg9yXgKimdeBzhxgmbmF2wnajVujRsUKm0NUwEJen4C2YoENwKWmXJBX5LWAJOgdCJC/LucUitXDlvmaWBPhKu1sURci0Xj9Jx0Wr7qCG8NdCu2xJwFdRoZ6n3OIGZuaNrR4NTr1IvYO0zHDS3lLHv2ukfgSXgKogNCK3BnAoIPqog600vIXfykltfhGocFqPyT7Hi4JTZbylbuOPPEelWLheInXrPz1ezzUNxjlwDf61jSoLkaJd1rW8JuATanjzpYOBOLu2JOJKYHbKlE6E0nxJ84bEXdDFhR4gL4ZYcYVwtAbejVWdK06153vqKWoovfFoJo1hIT0k6qfdDgi6Wr1QbbbFlnFXQLRvcjla2hF6nEGYXbqUB0idaePJqJ3bO5rYfG7l61e4gaux/oUgBjXRbszQ4AanVsacWde4Oh15nH2vaVar5hPqUAp+l+frbTC0tOLR97b2N5uS3NDgPzXigmtUydr1mFbdMrtzSCa6FVnBvCRLNKKZ1poRbK3qNQU67LgEXQMsZYNl9bolU+5UICA2h0sPhkKLUqSIJe2kZ3GtFyC0BF0Fi8C2diHtCHttQvrH8Q59noVWZa9K10I6ccVUSDqOJhXZKsQRcBA3jsoTctrTX9sISGsbrXg6eUUjj41rYyVoGvNeynAwMauKqAF3NLsbJ6DtqMrd0smikLVkgSvIY2fZ7ITcqONdqOMnS4CLUbgu0Is9HhJtIiXnTSt9vTSsBbCFcwtIYsVCOpcEVwlmxS9z8ubT8zyPoacg+EUqH066xZ2LajnSrl7rXo59Sx8z8Z0LPSfNJpdFbuK8wEUOUdH7JRBmtQfjUajW1HtFUGUrTloRutO4Pztaw1gkW0tBbbPOlcOq0BFwCqWBpMZhrBKMlYmXKhYhop5vKq9WkbC3o9kKuZ9/3CI+qZW1RBaSMuKnIbv97q/ihnlui3vmktpn+NtRvZ80yW1w8gFcKOa2xkKtvrJ/8Le0oJ8zS4AaQWmlT9g1pQKclYjY0LqltZi6t2cJsajSxkU6GFvnW9tUScBmkEyM3Ef1nU/nGBmsq6Lcl2kfPSsuQCop2SE/ymF3OktCz5AnlkorjLNXeNPpkbVGVSXk7uVum2HYsdb8F+62etnDTCKT203aJe6HyhIQcxzNeUvbZBBagE/852uSyNLgMUmO1dozcyNiqWk1C8i732ZSA6oW0XWYUbhIs128JOA/JpEl58Grd6Ps0RnnJ9mVpmV7tBAm1C3ehsTw5R1OzrWyx4ygZh0vAeWgG5GoLpFkmZItyntJ03vfU85K0a8qknbYle2COFvXXTGsJOA+pQdR5/2LPSMtgBWlZOJpp6HlpOEIqv5KJkBNWOYeQ5HoKS30PpNsl1va5SICedVxOhg2psZmTjn+9JHB1Bo3tROuypuIIWwbpcqg1qEvysoYf8yZ5p/WYOVsBpzWYJMGko4IdeyBxEtQsJj2FmzSPmnJwtH9rY0eyGNcu/KWclYBrsUJqp+nbmUYy6tSCJUb2QclJmFbEQnJi9yVw67UXhlzBeFgBZ3nS5Bgt2BZ9CQmL1PjtJehS2qPUTi15Lmfz8wPdU2U5jJOBY+yXptcLq8K4JDYtROp0h8Tjqm0Xzb0zKsauNkyJS66O/gmRXmjmNa0GV9sIoY7TMBQfjVybSG1TsVU3NZGkzpkabSOWbkttad/GpR73Us+x5nOaaNnmptHgtDW0WB6tmVGA9gzUDOUlDSGpHSMjPNktgp1nJ1Sfk+Djav5mNTiNzkppH1yvZw9msLmF2rKFHSaULscelbrXqpzaaGwHNTQfTa21pi6ccZAroxkBt29Ure3nQhctG5hU4GhN2JL8tcrQC41ynuagRND1cnxI0zexRb1991nTQWBVZT/idoKLZUGR0wYlfVbav1bGRc1iprX78tMtwYwGlyJkpM5hZaAAr9x6WJ7kLThpBLWGcD+NFjGIuXQta3OcQNtWZ3SlIRwSx1XNvDGhwUmwOrhikPfZn6CzaHOaRvuS9/yJU5qmll0pl39pPhT4x32PA3e8xQz8sXuxcsSe7TWPTQi4K6ML0JDYQJlBqO3Zr9C9ym99MevphEoJO04cIudaLk2ufTy2kOeei+VbgwkBB+TVa+2JRbu/taut5H7I4G19Iu8pMdCXvBdKI/Y9hVQbmmHh8XcFKUo90Lm8S0J+UoIul07p+JnCBtcK7kDJTdJWdo1eSO1KsSDpXkij/VuVbURfkve3lpL2KR3vvslBIqhj5MpvRcD9DYCnLE5+oHowvRHAX6kUpBGF9XsjMeqlFbbQIt1IXub7S4LXTkPrpiHQImn+k9h9KwLuKefc5dGFaAERPXHEuq16zceR6xbDjA1usVgstFkCbrFYHBYrAu7jowvQkKPWbdVrPo5ctyDk3AyO8cVisZBjRYNbLBYLdZaAWywWh2W4gCOiu4joKSK6SkT3jy6PBCL6BBE9R0Rf3V17AxF9loi+sf19/XadiOijWz2/QkRvG1fyNER0MxF9noi+TkRfI6IPbdePULfXEtEXiOjPtrr95nb9zUT0+FaHTxHRq7frr9m+X93u3zK0AhmI6Boi+hIRPbp9P0S9Shkq4IjoGgD/EcC7AdwG4ANEdNvIMgn5XQB3edfuB/CYc+5WAI9t34GLOt66/bsPwMc6lbGElwD8unPuNgB3APjlrV+OULe/A3Cnc+4nALwVwF1EdAeAjwB4wDn3FgDPA7h3e/5eAM9v1x/YnrPMhwA8uft+lHqV4Zwb9g/AOwF8Zvf9wwA+PLJMBXW4BcBXd9+fAnDj9vlGXAQxA8B/AvCB0HPW/wF4GMC7jlY3AP8QwJ8CeAcuIvyv3a7/YFwC+AyAd26fr92eo9Flj9TnEi4WnjsBPIqLQP/p61Xzb/QW9SYAT+++P7Ndm5kbnHPf2j5/G8AN2+cp67ptXX4SwOM4SN22bdyXATwH4LMAvgngBefcS9sj+/L/oG7b/RcBXN+1wHx+G8BvAPj+9v16HKNexYwWcIfGXSyP08bhENGPAvgjAL/qnPvr/b2Z6+ac+3vn3FtxofG8HcCPjy1RPUT0cwCec84d+dfHxIwWcM8CuHn3/dJ2bWa+Q0Q3AsD297nt+lR1JaJX4UK4/b5z7o+3y4eo2wnn3AsAPo+Lrdt1RHQ6m70v/w/qtt1/HYDv9i0pi58C8PNE9L8BfBIX29Tfwfz1qmK0gPsigFs3T8+rAbwfwCODy1TLIwDu2T7fgwv71en6BzeP4x0AXtxt90xBRATgQQBPOud+a3frCHV7ExFdt33+EVzYFp/EhaB73/aYX7dTnd8H4HOb9moK59yHnXOXnHO34GIefc4594uYvF7VjDYCAngPgL/AhR3kX48uj7DsfwDgWwD+Hy7sG/fiwo7xGIBvAPjvAN6wPUu48Bh/E8CfA7g8uvyJev00LrafXwHw5e3few5St38K4Etb3b4K4N9s138MwBcAXAXwXwG8Zrv+2u371e3+j42uA6OOPwPg0aPVq+TfOqq1WCwOy+gt6mKxWDRjCbjFYnFYloBbLBaHZQm4xWJxWJaAWywWh2UJuMVicViWgFssFofl/wOS76Fz+yAprAAAAABJRU5ErkJggg==\n",
"text/plain": [
"<Figure size 360x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"B = 2, K = 2, gamma = -1, xi = 5, E = 0,\n",
" embedding 0, annealing time = 10, rel. chain strength = 0.5\n",
"Energy -49.52057699067239\n",
"On test data\n",
"Overal accuracy 0.88016\n",
"F1 score 0.728608438864431\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 360x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"B = 2, K = 2, gamma = -1, xi = 5, E = 0,\n",
" embedding 0, annealing time = 1, rel. chain strength = 1\n",
"Energy -35.00944361040178\n",
"On test data\n",
"Overal accuracy 0.854612\n",
"F1 score 0.7104908918572327\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 360x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"B = 2, K = 2, gamma = -1, xi = 5, E = 0,\n",
" embedding 1, annealing time = 1, rel. chain strength = 0.5\n",
"Energy -51.22353270783232\n",
"On test data\n",
"Overal accuracy 0.862656\n",
"F1 score 0.7112000807455506\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 360x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"B = 2, K = 2, gamma = -1, xi = 5, E = 0,\n",
" embedding 1, annealing time = 10, rel. chain strength = 0.5\n",
"Energy -46.22601878543993\n",
"On test data\n",
"Overal accuracy 0.862024\n",
"F1 score 0.717900487421898\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 360x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"B = 3, K = 2, gamma = -1, xi = 0, E = 0,\n",
" embedding 1, annealing time = 10, rel. chain strength = 2\n",
"Energy -71.4961865237801\n",
"On test data\n",
"Overal accuracy 0.840008\n",
"F1 score 0.7030674664449459\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 360x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"B = 3, K = 2, gamma = -1, xi = 0, E = 0,\n",
" embedding 1, annealing time = 100, rel. chain strength = 5\n",
"Energy -57.971641450473626\n",
"On test data\n",
"Overal accuracy 0.852416\n",
"F1 score 0.7174971670086675\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 360x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"B = 3, K = 2, gamma = -1, xi = 0, E = 0,\n",
" embedding 3, annealing time = 1, rel. chain strength = 2\n",
"Energy -78.40885247496453\n",
"On test data\n",
"Overal accuracy 0.865312\n",
"F1 score 0.7132980263269927\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 360x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"B = 3, K = 2, gamma = -1, xi = 0, E = 2,\n",
" embedding 1, annealing time = 100, rel. chain strength = 1\n",
"Energy -11.503963942188145\n",
"On test data\n",
"Overal accuracy 0.882028\n",
"F1 score 0.7207128720371967\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 360x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"B = 3, K = 2, gamma = -1, xi = 0, E = 2,\n",
" embedding 1, annealing time = 1, rel. chain strength = 2\n",
"Energy -11.399774035125132\n",
"On test data\n",
"Overal accuracy 0.882368\n",
"F1 score 0.7165275394729232\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 360x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"B = 3, K = 2, gamma = -1, xi = 0, E = 2,\n",
" embedding 2, annealing time = 10, rel. chain strength = 0.2\n",
"Energy -12.269963970450435\n",
"On test data\n",
"Overal accuracy 0.884696\n",
"F1 score 0.7036679139767261\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 360x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"B = 3, K = 2, gamma = -1, xi = 0, E = 2,\n",
" embedding 2, annealing time = 100, rel. chain strength = 0.2\n",
"Energy -12.051694743974974\n",
"On test data\n",
"Overal accuracy 0.884484\n",
"F1 score 0.7337531230696894\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 360x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"B = 3, K = 2, gamma = -1, xi = 1, E = 0,\n",
" embedding 1, annealing time = 100, rel. chain strength = 0.5\n",
"Energy -17.912004495524627\n",
"On test data\n",
"Overal accuracy 0.846016\n",
"F1 score 0.7009833620729832\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 360x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"B = 3, K = 2, gamma = -1, xi = 1, E = 1,\n",
" embedding 0, annealing time = 1, rel. chain strength = 0.2\n",
"Energy -18.20281620772596\n",
"On test data\n",
"Overal accuracy 0.86164\n",
"F1 score 0.7187393277064936\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 360x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"B = 3, K = 2, gamma = -1, xi = 1, E = 1,\n",
" embedding 1, annealing time = 10, rel. chain strength = 0.5\n",
"Energy -20.175029096824993\n",
"On test data\n",
"Overal accuracy 0.864616\n",
"F1 score 0.7201144482667372\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 360x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"B = 3, K = 2, gamma = -1, xi = 1, E = 1,\n",
" embedding 2, annealing time = 100, rel. chain strength = 0.5\n",
"Energy -20.659998098494363\n",
"On test data\n",
"Overal accuracy 0.884052\n",
"F1 score 0.7282681040543707\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 360x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"B = 3, K = 2, gamma = -1, xi = 1, E = 2,\n",
" embedding 2, annealing time = 10, rel. chain strength = 0.5\n",
"Energy -8.640766055370284\n",
"On test data\n",
"Overal accuracy 0.846384\n",
"F1 score 0.7060363435954746\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 360x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"B = 3, K = 2, gamma = -1, xi = 1, E = 2,\n",
" embedding 2, annealing time = 100, rel. chain strength = 0.5\n",
"Energy -8.614799617154471\n",
"On test data\n",
"Overal accuracy 0.873596\n",
"F1 score 0.7318745280377401\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 360x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"B = 3, K = 2, gamma = -1, xi = 1, E = 2,\n",
" embedding 2, annealing time = 10, rel. chain strength = 1\n",
"Energy -7.426846642711299\n",
"On test data\n",
"Overal accuracy 0.85826\n",
"F1 score 0.7184055563943832\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 360x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"B = 3, K = 2, gamma = -1, xi = 5, E = 0,\n",
" embedding 2, annealing time = 100, rel. chain strength = 0.5\n",
"Energy -45.506845443310596\n",
"On test data\n",
"Overal accuracy 0.873516\n",
"F1 score 0.7344402173456618\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 360x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"B = 3, K = 2, gamma = -1, xi = 5, E = 1,\n",
" embedding 0, annealing time = 100, rel. chain strength = 0.5\n",
"Energy -23.736552843941126\n",
"On test data\n",
"Overal accuracy 0.884704\n",
"F1 score 0.7175225401803215\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 360x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"B = 3, K = 2, gamma = -1, xi = 5, E = 1,\n",
" embedding 2, annealing time = 10, rel. chain strength = 0.5\n",
"Energy -23.863110771134867\n",
"On test data\n",
"Overal accuracy 0.88446\n",
"F1 score 0.7171880354432859\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 360x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"B = 3, K = 2, gamma = -1, xi = 5, E = 1,\n",
" embedding 3, annealing time = 10, rel. chain strength = 0.2\n",
"Energy -23.79218276655323\n",
"On test data\n",
"Overal accuracy 0.878908\n",
"F1 score 0.7264545627050033\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 360x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"cmap = colors.ListedColormap(['black', 'red'])\n",
"plt.title('Prediction')\n",
"plt.rcParams[\"figure.figsize\"] = (5,5)\n",
"Y_train_bin=np.where(Y_train==-1,0,Y_train)\n",
"\n",
"for B in Bs:\n",
" for K in Ks:\n",
" for gamma in gammas:\n",
" for xi in xis:\n",
" for E in Es:\n",
" dirs=glob.glob(outputpath+f'_B={B}_K={K}_xi={xi}_E={E}_gamma={gamma}/result_couplers=*')\n",
" if not dirs:\n",
" dirs=glob.glob(outputpath+f'_B={B}_K={K}_xi={xi}_E={E}_gamma={float(gamma)}/result_couplers=*')\n",
" path=dirs[0]+'/'\n",
" f = open(path+f'collected_data_all_embeddings_maxalphas{maxalphas}.txt',\"w\") \n",
" f.write(\"#rcs \\tt_a \\t trainacc\\t trainF1score\\t testacc\\t testF1score\\t average energy(train)\\n\") \n",
" for emb in embeddings:\n",
" for c in chain_strengths:\n",
" for t in annealing_times:\n",
" alphas=np.load(path+f'embedding{emb}_rcs{c}_ta{t}_alphas.npy')\n",
" if not maxalphas == 0 or maxalphas > len(alphas):\n",
" alphas = alphas[0:maxalphas]\n",
"\n",
" scores_train=predict(X_train,X_train,Y_train,alphas,path)\n",
" Y_predict_train=np.sign(scores_train)\n",
" Y_predict_train=np.where(Y_predict_train==-1,0,Y_predict_train)\n",
" Y_predict_train=np.where(Y_predict_train==1,1,Y_predict_train)\n",
"\n",
" scores=predict(X_test,X_train,Y_train,alphas,path)\n",
" Y_predict=np.sign(scores)\n",
" Y_predict=np.where(Y_predict==-1,0,Y_predict) # From -1 to 0\n",
" Y_predict=np.where(Y_predict==1,1,Y_predict) # From -1 to 1\n",
" \n",
" trainacc = accuracy_score(Y_train_bin[:], Y_predict_train)\n",
" trainF1score = f1_score(Y_train_bin[:], Y_predict_train)\n",
" testacc = accuracy_score(Y_test[:], Y_predict)\n",
" testF1score = f1_score(Y_test[:], Y_predict)\n",
" alphas_avg = np.mean(alphas,axis=0)\n",
" av_energy = compute_energy(alphas_avg,X_train,Y_train,gamma,xi)\n",
" \n",
" f.write(f'{c:1.2f}\\t {t:4}\\t {trainacc:8.4f}\\t{trainF1score:8.4f}\\t{testacc:8.4f}\\t{testF1score:8.4f}\\t{av_energy:8.4f}')\n",
" f.write(\"\\n\")\n",
"\n",
" # Visualize the prediction only for reasonable solutions\n",
" if testacc > 0.75 and testF1score > 0.7: \n",
" print(f'B = {B}, K = {K}, gamma = {gamma}, xi = {xi}, E = {E},\\n embedding {emb}, annealing time = {t}, rel. chain strength = {c}')\n",
" #print('On train data:')\n",
" #print ('Overal accuracy',trainacc)\n",
" #print ('F1 score',trainF1score)\n",
" print('Energy',av_energy)\n",
" print('On test data')\n",
" print ('Overal accuracy',testacc)\n",
" print ('F1 score',testF1score)\n",
" classification_map=np.reshape(Y_predict,(500,500))\n",
" plt.imshow(classification_map, cmap=cmap)\n",
" plt.clim(0, 1)\n",
" plt.show()\n",
" \n",
" f.write(\"\\n\")\n",
" f.write(\"\\n\")\n",
" f.close()\n",
" "
]
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