From f42d203bba831e0ddd0705e3e1446fee1c20f9d3 Mon Sep 17 00:00:00 2001 From: Lisa Sousa Date: Fri, 13 Sep 2024 17:33:40 +0200 Subject: [PATCH] add shap for test set --- .../Bio-4-Tutorial_SHAP.ipynb | 87 +++++++++++++------ 1 file changed, 60 insertions(+), 27 deletions(-) diff --git a/xai-for-random-forest/Bio-4-Tutorial_SHAP.ipynb b/xai-for-random-forest/Bio-4-Tutorial_SHAP.ipynb index 0016c09..0646237 100644 --- a/xai-for-random-forest/Bio-4-Tutorial_SHAP.ipynb +++ b/xai-for-random-forest/Bio-4-Tutorial_SHAP.ipynb @@ -387,15 +387,7 @@ "execution_count": 7, "id": "86a4b82d", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - " 98%|===================| 890/910 [00:11<00:00] " - ] - } - ], + "outputs": [], "source": [ "shap_values = explainer(X_train)\n", "\n", @@ -835,13 +827,6 @@ "id": "70ca6391", "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - " 98%|===================| 896/910 [00:14<00:00] " - ] - }, { "name": "stdout", "output_type": "stream", @@ -849,6 +834,16 @@ "Features matrix - # samples: 455, # features: 5\n", "SHAP values matrix - # samples: 455, # features: 5\n" ] + }, + { + "data": { + "image/png": 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VuH79OubPny+37nHjxqFq1aoYNWoU7t69i61bt8Lf3x+tW7fGrl270LVrV2hoaGDr1q2YOnUqoqKiUKNGDZl1HDlyBPfv3xe3eeTIEaxbtw6PHj3CnDlzxHqJiYk4ffo0WrRoATMzM+Tk5ODgwYOYP38+nj9/Dl9f31Lt85AhQyAIAs6cOYO5c+eKy9avX79Mx3727Nn4888/0bZtW3Tp0gVv3rxBbGwsxo4di8WLF6Nly5YAgL179yIgIAANGzbEqFGjoKmpicePH+Po0aNIS0uDkZER0tPTMXr0aACAt7c3qlevjvT0dFy+fBkXL15k0kFERERUwcqUdOTn5yM8PBzq6uoAAGtra0yaNAlTp05FWFgY6tWrBwDo2rUrPD09sX37djHpyM3Nxbx58+Do6Ig1a9aIV+e9vb1hZ2eH5cuXIzExUbzaPXToUPj5+clsv0+fPujbty/Wr1+vMOmoU6cOpk2bJr62sbHBtGnTsG/fPnh7exe7b6tWrcKtW7cwY8YM9OjRQ+a9goIC8d9Lly7FmzdvEBYWBjs7OwBA7969MX36dOzbtw9eXl5o0qSJzPIODg6YOnWqTFlkZCSePHmCrVu3QldXFwDQuHFjfPvtt9i1a5fcvl+/fh2bNm1CnTp1xG36+/sjJiYGPXr0gJOTEwDAw8MDPj4+Msv27dsXo0aNQnh4OAYMGCAe+5Lsc9OmTbFv3z6cOXNGJoF8V0mOfVxcHGJjY+W216dPH/j6+mLZsmVwc3ODRCJBfHw8dHR0ZM4VABg1apT473PnziEtLQ0LFy5E+/bti4yNiIiIiCpGme7p8PHxERMOAGjYsCEAwNHRUUw4AEBdXR0ODg64c+eOWHbixAmkpqaiS5cuyM7ORnp6uvifq6urWEdKW1tb/HdOTg7S09ORk5ODxo0bIzk5GdnZ2XLx9e3bV+a1NIG5e/dusftVUFCA/fv3w9raWu7HNwCoqLw9XGlpaTh//jzc3NzEhAMAJBIJhgwZAuDtD+t3ffvttzKvpcfNw8NDTDgAwM7ODjo6OjLHTcrFxUVMOKTbHDhwoNw2Cx+33NxcpKenIzMzE02bNsWLFy+QkpJSqn0uqZIc+z/++AM6Ojpo1aqVTPtnZ2fjm2++wYMHD8R919XVRU5ODhISEiAIgsJtSo/dsWPHFJ4PRERERFSxytTT8e6QH319fQCAmZmZXF19fX1kZGSIr5OTkwFAZojOu1JTU8V/p6WlYc2aNTh8+DDS0tLk6mZnZ8v8YFcUn6GhIQDIxKGI9Id5s2bNiq334MEDAG+v4r/L2toaKioquH//vtx778alp6cHoGTHTcrKykquTBpH4W2+fPkSoaGhOHDgAB4/fiy3TGZmJoCS73NJleTYp6Sk4MWLF+jQoUOR60lLS4OlpSV8fX1x+vRpTJ48GQYGBmjUqBFcXV3Rvn17cbjW119/DQ8PD8TExCA2Nhb16tWDi4sL2rdvr7CNiIiIiOjjKlPSUdTV78I3TxdFerV6/PjxsLe3V1jHxMRErOvn54fk5GT06dMH9erVg66uLlRUVBATE4N9+/bJDHl6XxxFXSn/WIqKSxnx/vDDD0hISED37t3RqFEjGBgYQEVFBUePHkVkZKTC41YeSrIvgiDAyMhI4X0vUrVq1QIA1KxZE9u3b8fJkydx6tQpnD59GvPnz0dISAjWrVsHc3NzAEBgYCAGDBiAY8eO4cyZM9iyZQs2bNiAiRMnonfv3uW4h0RERERUWmVKOj5EzZo1Abwd/uPi4lJs3evXr+PatWsYPnw4Ro4cKfPe7t27yz02Q0ND6Ovr4/r168XWk/ZM3Lp1S+69lJQUFBQUyF3xLy/SYVGFSeOQbjMrKwsJCQlwd3fHjBkzZOqePHlS5nVJ9xl4O5SrPFhYWODOnTtwcnJCpUqV3ltfQ0MDLVq0EG8IT0hIwIQJExARESFzj4ytrS1sbW0xcOBAZGVlYdCgQVi5ciV69epVbrETERERUel99Od0NGvWDJUrV0Z4eLjC4UM5OTl48eLF2+D+r0fl3Sv+N27cQHx8fLnHpqKigo4dO+LWrVsKkxppHJUrV0b9+vVx5MgR3LhxQ+b9sLAwAJCbzre8nDhxAleuXJHZ5qZNmwBAnGK3qOP27Nkzuf0q6T4D/7tP5H3D1N7Hw8MDBQUFWLlypcL3Cw+vS09Pl3tfek+LNI6MjAy5nhs9PT3UqFEDOTk5yM3N/aB4iYiIiOjDfPSeDm1tbQQGBmLy5Mnw9vaGl5cXLCwskJWVhZSUFMTFxWHJkiVwdnaGtbU1bGxssGnTJuTk5MDS0hJ37txBVFQUbG1tcfny5XKPb/To0Th16hTmz5+PEydOoEGDBgCAq1evIi8vD/PmzQMATJ48GSNGjMDw4cPF6WsTEhJw/PhxdOrUSW7mqvJiZ2eHUaNGoWfPnqhSpQoOHz6MkydPwt3dXZy+VkdHB02bNkVsbCw0NTXh4OCAhw8filPwvps0lHSfnZycsG3bNixatAgtWrSAmpoaHB0dS92r065dO3Tp0gXbtm3DlStX8M0338DQ0BBPnjzB+fPnce/ePURHRwMAxo4dCz09PTRs2BDVqlVDVlYWYmJiIJFIxFm09u7di8jISLRu3Rrm5uZQU1PD6dOncfz4cbRv3x5aWlofdMyJiIiI6MN89KQDeNvbsXHjRmzcuBGxsbF4/vw59PX1YW5ujn79+okzQqmqqiI4OBg///wz9uzZg1evXqFWrVoICAjAtWvXlJJ06OvrIywsDBs2bEBcXBzi4uKgo6MDa2trmXsD6tWrhw0bNiAkJAQ7duwQHw743XffoX///uUel5Sbm5v4cMDbt2+jcuXKGDZsmNwDGOfNm4cVK1bg77//xt69e2FhYYExY8ZATU0NgYGBZdrnjh074urVq9i/fz/++usvFBQUYM6cOWUaSjZnzhw4Oztj165dCA8Px5s3b2BsbIw6depg7NixYj0fHx8cOHAAUVFRyMjIgIGBAWrXro0pU6aIM2N9/fXXuHr1Kv7++288e/YMqqqqMDMzw4QJE9CrV69Sx0ZERERE5UsiVPTd1VQihZ9I/u79LVR+JEvzKjoEKiHB3+f9lejTIeyu6AiIiKgCffR7OoiIiIiI6MvCpIOIiIiIiJSKSQcRERERESlVhdxITqVnZmaGxMTEig6DiIiIiKjU2NNBRERERERKxaSDiIiIiIiUikkHEREREREpFZ/TQVRIaGgofH19oa6uXtGhEBEREX022NNBRERERERKxaSDiIiIiIiUikkHEREREREpFZMOIiIiIiJSKiYdRERERESkVEw6iIiIiIhIqZh0EBERERGRUjHpICIiIiIipWLSQURERERESsWkg4iIiIiIlIpJBxERERERKRWTDiIiIiIiUiomHUREREREpFQSQRCEig6C6FMhWZpX0SFQIYK/T0WHQFLC7oqOgIiI/sPY00FERERERErFpIOIiIiIiJSKSQcRERERESkVkw4iIiIiIlIqJh1ERERERKRUTDqIiIiIiEipmHQQEREREZFSMekgIiIiIiKlYtJBRERERERKxaTjC5GYmIiQkBBkZWV9lO1lZWUhJCQEiYmJH2V7RERERPTpYtLxhUhKSsK6des+atKxbt06JCUlfZTtEREREdGni0kH/Se9ePGiokMgIiIiohJi0gEgJiYGzs7OOHnyJNatWwdPT0+4urpi0KBBuHDhAoC3PQVDhw5FixYt0LFjR/z6668K13Xp0iVMnjwZbdu2RbNmzdCjRw+sX78eeXl5MvUuXryIgIAA9OjRA66urnBzc8OQIUMQFxcnt86AgAA4OzsjOzsbCxcuRPv27dG8eXMMGTIEFy9efO/+BQQEYN26dQAALy8vODs7w9nZGSEhIWKd7Oxs/PLLL+jWrRuaNWuGdu3aYcaMGbh3755Y58qVK2jevDnGjBkDQRDE8vz8fAwfPhyurq64ceMGEhMT4eXlBQBYt26duL0uXboAeDvUy9nZGTExMUXua2EjRoxAly5dcO/ePUyZMgVt2rRBy5YtxfefPXuGhQsXwsPDA02bNkWnTp2wYMECpKWlvffYEBEREZHyqVV0AJ+SlStXIj8/H3369EFeXh62bNkCPz8/BAYGYt68eejevTs6d+6MAwcOYO3atTAzM4O7u7u4fEJCAvz9/WFhYYH+/ftDX18fFy5cQEhICK5du4affvpJrBsfH4+UlBS0a9cOpqamyMjIwJ49e+Dv74/58+ejU6dOcvH5+fnByMgIw4YNQ0ZGBiIiIjB+/Hj8/vvv0NHRKXK/evTogRcvXiAuLg4TJ06EoaEhAMDOzg7A24RjyJAhePToEby8vGBjY4Nnz55hx44dGDx4MDZv3gxTU1PUqVMH48aNw9KlSxEeHg5fX18AbxOLM2fOYPr06bC1tUVqaiomTpyIoKAgtG7dGq1btwYAVKpUqcxt8/LlS4wcORL169fHmDFjxITi0aNH8PX1xZs3b9C1a1eYm5vj7t272LlzJxITE7F582bo6uqWebtERERE9OGYdBSSn5+P8PBwqKurAwCsra0xadIkTJ06FWFhYahXrx4AoGvXrvD09MT27dvFpCM3Nxfz5s2Do6Mj1qxZAzW1t4fW29sbdnZ2WL58uXiFHwCGDh0KPz8/me336dMHffv2xfr16xUmHXXq1MG0adPE1zY2Npg2bRr27dsHb2/vIverfv36sLW1RVxcHFq1agUzMzOZ99euXYv79+8jLCwM9vb2YnmXLl3Qp08fhISEICAgQIzx5MmTWLt2LZydnZGbm4sNGzagTZs2YgzGxsZo1aoVgoKCYGtrK5OYlVVGRga8vb0xZswYmfLFixcjLy8PERERqFatmljerl07+Pr6IiIiAiNHjvzg7RMRERFR2XF4VSE+Pj5iwgEADRs2BAA4OjqKCQcAqKurw8HBAXfu3BHLTpw4gdTUVHTp0gXZ2dlIT08X/3N1dRXrSGlra4v/zsnJQXp6OnJyctC4cWMkJycjOztbLr6+ffvKvJYmMHfv3i3zPguCgNjYWDRs2BBVq1aViVtbWxuOjo74559/ZJaZM2cOqlSpgh9++AGzZ89GtWrVMGvWrDLHUFIDBgyQeZ2dnY2EhAS4ublBU1NTJnYzMzOYm5vLHHMiIiIiqhjs6SikRo0aMq/19fUBQK5nQPpeRkaG+Do5ORkAMHfu3CLXn5qaKv47LS0Na9asweHDhxXee5CdnS03LOjd+KTDpArHUVrPnz9HRkYG/vnnH7Rr105hHRUV2dzUwMAAs2fPxtixYwEAv/76K/T09MocQ0kYGRnJbSMlJQUFBQWIjo5GdHS0wuXePWZERERE9PEx6Sjk3R/XUqqqqu9dVnpj9fjx42WGKBVmYmIi1vXz80NycjL69OmDevXqQVdXFyoqKoiJicG+fftQUFBQ4jgK39RdWtJlmzRpgkGDBpV4uSNHjoj/vnbtGr766qsSLyuRSIp8Lz8/X2G5lpZWkct07twZnp6eCt/T1NQscVxEREREpBxMOspJzZo1AbwdNuXi4lJs3evXr+PatWsYPny43P0Gu3fvVkp8Rf3Ql/YgvHjx4r1xSx0+fBhbt24VZ5QKDg5Go0aNYGtr+97tAW97SgDFPTT3798vUQwAYG5uDolEgry8vBLHTkREREQfH+/pKCfNmjVD5cqVER4ervDHdE5OjvhsCWmPyrs9FDdu3EB8fLxS4pPOHJWZmSlTrqKigk6dOuHff//FwYMHFS5bePjXkydPMHfuXFhbW2Pq1KmYN28eNDU1MWPGDOTk5Ij1pPesvLs94O1wNVVVVZw8eVKm/Ny5c+IUxSVhaGgIV1dXHDp0SOFygiDg+fPnJV4fERERESkHezrKiba2NgIDAzF58mR4e3vDy8sLFhYWyMrKQkpKCuLi4rBkyRI4OzvD2toaNjY22LRpE3JycmBpaYk7d+4gKioKtra2uHz5crnH5+joCAD45Zdf0LlzZ2hoaKBWrVqwtbXF2LFjce7cOUyfPh1//fUXnJycoK6ujocPH+Lo0aOoW7cuAgICUFBQgJkzZyInJwcLFy6ElpYWqlevjlmzZsHf3x/Lli3DDz/8AOBtQmBhYYH9+/fD3NwclStXhra2Ntzc3FCpUiV06dIFu3fvxowZM/D111/j7t27iImJgZ2dHa5du1bi/Zo2bRqGDRuG4cOHw8PDA7Vr10ZBQQHu37+PI0eOwN3dnbNXEREREVUwJh3lqFmzZti4cSM2btyI2NhYPH/+HPr6+jA3N0e/fv3E52KoqqoiODgYP//8M/bs2YNXr16hVq1aCAgIwLVr15SSdHz11Vf47rvvEBUVhfnz54sP9LO1tYWuri42bNiALVu24MCBAzhy5AhUVVVRtWpVfPXVV+jWrRsAYP369Th9+jSmTZsmM5SqdevW6NmzJ7Zv346mTZuibdu2AIB58+YhKCgIq1atQk5ODkxNTeHm5gYAmDhxIgRBQHx8PA4fPoy6desiKCgIu3btKlXSUb16dWzZsgUbN27E4cOHERsbCw0NDVSrVg3ffPMN2rdvX34HkYiIiIjKRCJ8yF3IRJ8ZydK891eij0bw96noEEhK2F3RERAR0X8Y7+kgIiIiIiKlYtJBRERERERKxaSDiIiIiIiUikkHEREREREpFZMOIiIiIiJSKiYdRERERESkVEw6iIiIiIhIqZh0EBERERGRUvHhgESFhIaGwtfXF+rq6hUdChEREdFngz0dRERERESkVEw6iIiIiIhIqZh0EBERERGRUjHpICIiIiIipWLSQURERERESsWkg4iIiIiIlIpJBxERERERKRWTDiIiIiIiUiomHUREREREpFRMOoiIiIiISKmYdBARERERkVIx6SAiIiIiIqWSCIIgVHQQRJ8KydK8ig7hgwj+PhUdwocTdld0BERERFTO2NNBRERERERKxaSDiIiIiIiUikkHEREREREpFZMOIiIiIiJSKiYdRERERESkVEw6iIiIiIhIqZh0EBERERGRUjHpICIiIiIipWLSQUUKCAiAs7NzRYdBRERERP9xTDq+cPHx8QgJCanoMIiIiIjoM8ak4wsXHx+PdevWVXQYRERERPQZY9JBRERERERKpaasFcfExCAwMBCrV6/GuXPnEB0djefPn8PW1haTJ0+Gk5MTkpKSsHr1aly9ehU6Ojro2bMnhg0bJreuS5cuYcOGDThz5gxevnwJU1NTeHh4YNCgQVBT+98uXLx4ETt27MD58+fx+PFjqKqqwtbWFgMGDEDr1q1l1hkQEIA9e/YgPj4eK1aswKFDh/DixQvUqVMHEydOhKOj43v3MSMjA7/++iuOHDmCp0+fQltbG6ampujQoQMGDhwIAHjw4AG8vLwwfPhw2NjYICwsDLdv34aJiQmGDBkCLy8vPHr0CEFBQUhMTEReXh5atmyJadOmQUdHR2Z7169fR0hICM6cOYNXr16hRo0a8PT0RP/+/aGqqlrquiNGjMDp06cBQObejTlz5qBLly7i6+zs7Pceo8TERIwaNQpz5syBIAjYsmUL7t69C2NjY/Ts2RODBg0qc7vevHkToaGhOH/+PNLT06Gvrw8rKysMGDAALVq0AADk5uYiPDwcf/75Jx4/fgx1dXVUq1YNzZs3x/jx49/blkRERESkPEpLOqRWrlyJ/Px89OnTB3l5ediyZQv8/PwQGBiIefPmoXv37ujcuTMOHDiAtWvXwszMDO7u7uLyCQkJ8Pf3h4WFBfr37w99fX1cuHABISEhuHbtGn766Sexbnx8PFJSUtCuXTuYmpoiIyMDe/bsgb+/P+bPn49OnTrJxefn5wcjIyMMGzYMGRkZiIiIwPjx4/H777/L/eh/17Rp03D69Gl4e3vDzs4Oubm5SE5ORlJSkph0FN6PqKgo+Pj4QF9fH9HR0Zg7dy7U1dWxatUqNG7cGGPGjMGlS5fw+++/Q0NDA7NmzRKXv3TpEkaMGAE1NTX07NkTxsbG+Pvvv7FixQpcv34d8+fPL3XdIUOGQBAEnDlzBnPnzhWXr1+/fpmP0c6dO5GWlgYvLy/o6ekhNjYWK1asQLVq1WSOf0nbNT09HaNHjwYAeHt7o3r16khPT8fly5dx8eJFMen46aef8Pvvv8PDwwP9+vVDfn4+7t69i1OnThXbhkRERESkfEpPOvLz8xEeHg51dXUAgLW1NSZNmoSpU6ciLCwM9erVAwB07doVnp6e2L59u5h05ObmYt68eXB0dMSaNWvEq9/SH/nLly9HYmKieJV+6NCh8PPzk9l+nz590LdvX6xfv15h0lGnTh1MmzZNfG1jY4Np06Zh37598Pb2LnK/srOzcerUKfj4+GDKlCnvPQ7JycnYvn07TE1NAQAdOnSAh4cHZs+ejfHjx6N///5i3aysLOzduxeTJk1CpUqVAABLly7FmzdvEBYWBjs7OwBA7969MX36dOzbtw9eXl5o0qRJqeo2bdoU+/btw5kzZ2QSvQ85Ro8ePcKOHTugq6sL4H/tunXrVvH4l6Zdz507h7S0NCxcuBDt27cvMsb4+Hg0b94cgYGB720LIiIiIvq4lH5Ph4+Pj5hwAEDDhg0BAI6OjmLCAQDq6upwcHDAnTt3xLITJ04gNTUVXbp0QXZ2NtLT08X/XF1dxTpS2tra4r9zcnKQnp6OnJwcNG7cGMnJycjOzpaLr2/fvjKvpQnM3bt3i90vTU1NaGho4OLFi3jw4MF7j0OrVq3EhAMAjIyMYGlpCRUVFfTq1Uum7ldffYW8vDxxvWlpaTh//jzc3NzEJAIAJBIJhgwZAgCIi4srdd2SKs0x6tKli5hwAICWlhacnJzK3K7SdR07dkxh+0np6uri1q1buHHjRqn2jYiIiIiUT+k9HTVq1JB5ra+vDwAwMzOTq6uvr4+MjAzxdXJyMgDIDP15V2pqqvjvtLQ0rFmzBocPH0ZaWppc3ezsbJkfxIriMzQ0BACZOBRRV1fHxIkTsWzZMnh5ecHGxgbOzs5o1aqV2ONQ3HYAQE9PD1WqVIGGhoZMufQYSWOQJh82NjZy67C2toaKigru379f6rolVZpjpGg/DQwMytyuX3/9NTw8PBATE4PY2FjUq1cPLi4uaN++vcw+Tpw4EXPmzEGfPn1Qo0YNODs745tvvoGbmxtUVDhfAhEREVFFUnrSUdQPvndvfFZEEAQAwPjx42Fvb6+wjomJiVjXz88PycnJ6NOnD+rVqwddXV2oqKggJiYG+/btQ0FBQYnjkG67OD4+PmjVqhUSEhKQlJSEv/76C9u2bUP79u2xcOFCmbpFHYfifhCXJIaPoTTHqLzbFQACAwMxYMAAHDt2DGfOnMGWLVuwYcMGTJw4Eb179wbwtifp999/x9GjR3H69GmcPHkS0dHRaNiwIVavXi3T20ZEREREH5fSk44PUbNmTQBvh025uLgUW/f69eu4du0ahg8fjpEjR8q8t3v3bmWFiCpVqqBbt27o1q0b8vPzMXv2bPz555/o378/HBwcymUb0l6hW7duyb2XkpKCgoICsYehNHWBt8OuPrbStKuUra0tbG1tMXDgQGRlZWHQoEFYuXIlevXqJe6DgYEB3N3d4e7uDkEQsGLFCmzatAmHDx9Gu3btlLY/RERERFS8T3rcSbNmzVC5cmWEh4crHMqTk5ODFy9eAPhfj8G7V99v3LiB+Pj4co8tJycHOTk5MmWqqqrifRSZmZnltq3KlSujfv36OHLkiMw9C4IgICwsDADEKYFLUxf4330w7xtOVp5K064ZGRlyPVR6enqoUaMGcnJykJubi/z8fGRlZcnUkUgkqF27trgOIiIiIqo4n3RPh7a2NgIDAzF58mR4e3vDy8sLFhYWyMrKQkpKCuLi4rBkyRI4OzvD2toaNjY22LRpE3JycmBpaYk7d+4gKioKtra2uHz5crnGdvv2bYwYMQKtW7dGrVq1oKenh5SUFOzYsQM1atQQb5gvL5MnT8aIESMwfPhwcRrchIQEHD9+HJ06dZK5j6Q0dZ2cnLBt2zYsWrQILVq0gJqaGhwdHRXem1FeStOue/fuRWRkJFq3bg1zc3Ooqanh9OnTOH78ONq3bw8tLS1kZWWhU6dOcHNzQ+3atWFkZIQHDx5gx44d0NfXh5ubm9L2hYiIiIje75NOOoC3V8U3btyIjRs3IjY2Fs+fP4e+vj7Mzc3Rr18/sWdBVVUVwcHB+Pnnn7Fnzx68evUKtWrVQkBAAK5du1buSUe1atXg5eWFpKQkxMfH482bNzAxMUH37t0xaNAgaGlplev26tWrhw0bNiAkJAQ7duwQH/j33XffyUy3W9q6HTt2xNWrV7F//3789ddfKCgowJw5c5SadAAlb9evv/4aV69exd9//41nz55BVVUVZmZmmDBhgjjrl5aWFr799lucPHkSJ0+exMuXL1GlShW4ubnB19dX5v4QIiIiIvr4JMKncrcy0SdAsjSvokP4IIK/T0WH8OGE3RUdAREREZWzT/qeDiIiIiIi+u9j0kFERERERErFpIOIiIiIiJSKSQcRERERESkVkw4iIiIiIlIqJh1ERERERKRUTDqIiIiIiEipmHQQEREREZFS8eGARIWEhobC19cX6urqFR0KERER0WeDPR1ERERERKRUTDqIiIiIiEipmHQQEREREZFSMekgIiIiIiKlYtJBRERERERKxaSDiIiIiIiUikkHEREREREpFZMOIiIiIiJSKiYdRERERESkVEw6iIiIiIhIqZh0EBERERGRUjHpICIiIiIipWLSQURERERESiURBEGo6CCIPhWSpXllWk7w9yn7RoXdZV+WiIiI6D+APR1ERERERCVgZWWFwYMHV3QY/0lMOoiIiIjoi3bz5k2MHDkSNjY20NLSgr6+PlxdXREcHIxXr15VdHjFys7Oxpw5c9CpUydUrlwZEokE4eHhFR2WHLWKDoCIiIiIqKLs3bsXPXv2hKamJgYOHAhHR0e8fv0aCQkJ8Pf3x7///ovQ0NCKDrNIz549w9y5c1GzZk00aNAA8fHxFR2SQkw6iIiIiKjMyno/ZHkSJpftJ21ycjL69OkDS0tLHDp0CKampuJ7Y8eOxY0bN7B3797yClMpTE1N8fDhQ1SvXh2JiYlo3LhxRYekEIdXEREREdEXafHixcjOzsb69etlEg4pW1tbjB8/vsjl09LSMHnyZDg5OUFXVxf6+vro3Lkzzp07J1d3xYoVcHBwQKVKlWBkZARnZ2dERkaK72dlZWHChAmwsrKCpqYmqlativbt2+P06dPF7oOmpiaqV69eir2uGOzpICIiIqIvUkxMDGxsbNC8efMyLX/r1i3s3r0bPXv2hLW1NR4/foyQkBC0bNkSly5dgpmZGQBg3bp1GDduHHx8fDB+/Hjk5OTg/PnzOHHiBPr27QsAGDVqFHbs2AE/Pz/Uq1cPqampSEhIwOXLl9GoUaNy2+eKwqSDiIiIiL44mZmZuH//Prp27VrmdTg5OeHatWtQUfnf4KEBAwagTp06WL9+PWbNmgXg7X0jDg4O2L59e5Hr2rt3L4YPH45ly5aJZVOmTClzbJ8aDq8iIiIioi9OZmYmAEBPT6/M69DU1BQTjvz8fKSmpkJXVxe1a9eWGRZlaGiIe/fu4dSpU0Wuy9DQECdOnMCDBw/KHM+njEnHe1y9ehUhISEf9QQICQn5ZGceICIiIvoc6OvrA3h7L0VZFRQUYPny5bCzs4OmpiaqVKkCExMTnD9/HhkZGWK9qVOnQldXF02aNIGdnR3Gjh2Lo0ePyqxr8eLFuHjxIiwsLNCkSRMEBATg1q1bZY7tU8Ok4z2uXbuGdevWfdSkY926dUw6iIiIiJRIX18fZmZmuHjxYpnX8eOPP2LixIlwc3PDli1b8Oeff+LAgQNwcHBAQUGBWK9u3bq4evUqfvvtN7Ro0QI7d+5EixYtMGfOHLFOr169cOvWLaxYsQJmZmZYsmQJHBwcEBsb+0H7+alg0vGFycnJQV5exU9tBwB5eXnIzc1V+F5+fj5ycnI+eBuCIODly5cfvB4iIiL6/Hh6euLmzZs4fvx4mZbfsWMHWrdujfXr16NPnz7o0KED2rVrh/T0dLm6Ojo66N27N8LCwnDnzh14eHhgwYIFMr93TE1NMWbMGOzevRvJyckwNjbGggULyrp7nxQmHcUICQlBYGAggLczCjg7O8PZ2RkBAQFindevX2PDhg3o1asXmjdvjlatWuH777/HlStXxDqPHz9G27Zt0atXL7kf0jNnzkTjxo3FMXzOzs4AgD179ojbk5ZJ3w8JCVEYq7Ozs0yPTEBAAJydnfH8+XMEBgaiQ4cO+Oabb/DkyRMAb59g+csvv6Bbt25o1qwZ2rVrhxkzZuDevXslPkbPnj3DwoUL4eHhgaZNm6JTp05YsGAB0tLSFMZ38+ZNBAUFwd3dHc2bN8eFCxcQExMDZ2dnnDhxAr/++iu6du2K5s2b48CBAwCAV69eYeXKlejatSuaNWuGjh07Yvbs2Xj48KHMNhITE+Hs7IyYmBhs27YNPXv2RPPmzbF58+YS7w8RERF9OaZMmQIdHR0MGzYMjx8/lnv/5s2bCA4OLnJ5VVVVCIIgU7Z9+3bcv39fpiw1NVXmtYaGBurVqwdBEPDmzRvk5+fLDMcCgKpVq8LMzKzIC7T/NZy9qhht2rTBs2fPsGvXLvj6+sLa2hoAYG5uDuDtlfrvvvsO58+fh7u7O3r16oXs7Gzs2rULQ4cOxbp161CvXj1Uq1YNs2fPxqRJk7Bs2TL88MMPAIDo6Gjs27cPgwcPhouLC169eoW5c+di9uzZaNiwIbp3714u+zF27FgYGxtj6NChePXqFSpVqoTs7GwMGTIEjx49gpeXF2xsbPDs2TPs2LEDgwcPxubNmxXOV13Yo0eP4Ovrizdv3qBr164wNzfH3bt3sXPnTiQmJmLz5s3Q1dWVWWbWrFnQ1NREv379IJFIUKVKFTF5CA4ORl5eHrp37w4dHR1YWloiLy8Pfn5+OHfuHNq2bYv+/fvjzp072LlzJ06cOIFNmzahWrVqMtv4f//v/yEjIwPdunWDsbGx3PtEREREAFCrVi1ERkaid+/eqFu3rswTyY8dO4bt27dj8ODBRS7v6emJuXPnwtfXV7yYGhERARsbG5l6HTp0QPXq1eHq6opq1arh8uXLWLlyJTw8PKCnp4f09HSYm5vDx8cHDRo0gK6uLg4ePIhTp07JzGZVlJUrVyI9PV28+BwTEyNeRP7uu+9gYGBQ9oNUTph0FMPOzg7169fHrl274OLiIvY4SG3duhVJSUlYsWIFmjVrJpb7+Pigd+/e+PnnnxEaGgoAaNmyJXr37o2tW7fCxcUFtra2WLJkCZycnDBq1CgAgLa2Ntzd3TF79mzUqFED7u7u5bIftWrVwrx582TKli5divv37yMsLAz29vZieZcuXdCnTx+EhITI9OgosnjxYuTl5SEiIkLmh327du3g6+uLiIgIjBw5UmYZXV1drF69Gmpq/zv1Lly4AODt0K/IyEhoaWmJ7+3atQvnzp3DgAEDZB7O4+LiggkTJmDlypVy+/bo0SPs2LEDlStXfs+RISIioi+dl5cXzp8/jyVLliA6Ohpr1qyBpqYm6tevj2XLlmH48OFFLjtjxgy8ePECkZGR2Lp1Kxo1aoS9e/di2rRpMvVGjhyJiIgIBAUFITs7G+bm5hg3bhxmzpwJAKhUqRLGjBmD/fv3IyoqCgUFBbC1tcXq1asxevTo9+7D0qVLcfv2bfF1VFQUoqKiAAD9+/dn0vFfFxsbCysrK9StW1du7J6Liwv27t2LnJwc8Uf0+PHjcfbsWSxYsAAmJiZQU1PDggULZH6AK0P//v1lXguCgNjYWDRs2BBVq1aViV1bWxuOjo74559/il1ndnY2EhIS0KVLF2hqasqsw8zMDObm5jhx4oRc0tG3b98i99fHx0cm4QCAuLg4qKiowNfXV6a8RYsWsLe3x5EjR1BQUCAzP7aHhwcTDiIioo9EmPzf/zlpZ2cnXiguTkpKisxrTU1NLF26FEuXLpUpf3dCoBEjRmDEiBFFrldDQwOLFy/G4sWLSxxzcXF9iv77Z0kFSk5ORm5uLtq1a1dknfT0dPHR9BoaGliwYAF69+6NW7duYf78+eKTKpXJ0tJS5vXz58+RkZGBf/75p8jYC/+IVyQlJQUFBQWIjo5GdHS0wjo1atSQK6tZs2aR61T03oMHD2BiYiJOa1dYrVq1cO3aNaSnp8skGcVtg4iIiIg+PiYdH8jW1hbff/99ke8bGRnJvE5ISEB+fj6At88A6dSpU4m3JZFIinxPuk5F3u09kN7w1KRJEwwaNKjE21ekc+fO8PT0VPiepqbme2Mp6XulUV7rISIiIqLywaTjPYr7oW9hYYHnz5+jcePG7+0ZAIDLly9j1apVcHFxgaGhIbZs2QIXFxc0bdq0RLFIr/ZLn6BZ2LuzJBTHyMgIenp6ePHiBVxcXEq8XGHm5uaQSCTIy8sr8zpKokaNGjh+/DiysrLknhh669Yt6OjowNDQUGnbJyIiIqIPxylz30NbWxuA4h/6Hh4eSE1NRUREhMJlC0+P9vLlS8yYMQP6+vqYO3cupk+fDjMzM8yZM0duetlKlSrJTZsGvJ3f2djYGKdOnZKZnu3evXulepigiooKOnXqhH///RcHDx5UWOfdmN5laGgIV1dXHDp0SLwRvDBBEPD8+fMSx1SUVq1aoaCgAOHh4TLlR48exdWrV+Hm5laihI+IiIiIKg57Ot7DwcEBKioq2LBhAzIzM6GtrY0aNWrA0dER3377LU6cOIHg4GCcOnUKjRs3ho6ODh49eoRTp05BQ0NDfKbGwoULce/ePaxYsQLGxsYAgAULFmDYsGEICAhAcHCw2Kvi6OiIkydPIjw8HNWrV4dEIkHHjh0BvH1a5Zo1azBu3Di0bNkSz549w86dO1GrVi1cunSpxPs1duxYnDt3DtOnT8dff/0FJycnqKur4+HDhzh69Cjq1q373tmrpk2bhmHDhmH48OHw8PBA7dq1UVBQgPv37+PIkSNwd3eXu5G8tLp06YI9e/Zg48aNePDgARo1aoS7d+9ix44dMDY2xtixYz9o/URERESkfEw63qN69eqYPXs2Nm7ciEWLFiEvLw+enp5wdHSEmpoafv75Z+zYsQN//PGHmGCYmJjAwcFBvNdhz549iI2NxcCBA2WGUjk6OmLMmDH45ZdfEBERIc4yNW3aNPz0008ICwvDixcvAEBMOgYNGoTs7Gz88ccfSEpKgrW1NWbNmoXLly+XKunQ1dXFhg0bsGXLFhw4cABHjhyBqqoqqlatiq+++grdunUr0bHZsmULNm7ciMOHDyM2NhYaGhqoVq0avvnmG7Rv377E8RRFTU0NK1euxPr163HgwAHExcVBT08Pbdu2xZgxY8Sb9ImIiIjo0yUR3n2MItEXTLI0r0zLCf4+Zd+osLvsyxIRERH9B3AwPBERERERKRWTDiIiIiIiUiomHUREREREpFRMOoiIiIiISKmYdBARERERkVIx6SAiIiIiKgErKysMHjy4osP4T2LSQURERERftJs3b2LkyJGwsbGBlpYW9PX14erqiuDgYLx69aqiw3uv3NxcTJ06FWZmZtDW1oaLiwsOHDhQ0WHJ4MMBiYiIiKjsJN0qOoIPeubV3r170bNnT2hqamLgwIFwdHTE69evkZCQAH9/f/z7778IDQ0tv1iVYPDgwdixYwcmTJgAOzs7hIeHw93dHXFxcWjRokVFhweADwckkhEaGgpfX1+oq6tXdChERET/Df/hpCM5ORn169eHubk5Dh06BFNTU5n3b9y4gb1792L8+PEA3g6vatWqFcLDwz8w4PJz8uRJuLi4YMmSJZg8eTIAICcnB46OjqhatSqOHTtWwRG+xeFVRERERPRFWrx4MbKzs7F+/Xq5hAMAbG1txYRDkbS0NEyePBlOTk7Q1dWFvr4+OnfujHPnzsnVXbFiBRwcHFCpUiUYGRnB2dkZkZGR4vtZWVmYMGECrKysoKmpiapVq6J9+/Y4ffp0sfuwY8cOqKqqYsSIEWKZlpYWhg4diuPHj+Pu3bslORRKx+FVRERERPRFiomJgY2NDZo3b16m5W/duoXdu3ejZ8+esLa2xuPHjxESEoKWLVvi0qVLMDMzAwCsW7cO48aNg4+PD8aPH4+cnBycP38eJ06cQN++fQEAo0aNwo4dO+Dn54d69eohNTUVCQkJuHz5Mho1alRkDGfOnIG9vT309fVlyps0aQIAOHv2LCwsLMq0f+WJSQcRERERfXEyMzNx//59dO3atczrcHJywrVr16Ci8r/BQwMGDECdOnWwfv16zJo1C8Db+0YcHBywffv2Ite1d+9eDB8+HMuWLRPLpkyZ8t4YHj58qLCXRlr24MGDEu+PMnF4FRERERF9cTIzMwEAenp6ZV6HpqammHDk5+cjNTUVurq6qF27tsywKENDQ9y7dw+nTp0qcl2GhoY4ceJEqZOEV69eQVNTU65cS0tLfP9TwKSDiIiIiL440uFIWVlZZV5HQUEBli9fDjs7O2hqaqJKlSowMTHB+fPnkZGRIdabOnUqdHV10aRJE9jZ2WHs2LE4evSozLoWL16MixcvwsLCAk2aNEFAQABu3br13hi0tbWRm5srV56TkyO+/ylg0kFEREREXxx9fX2YmZnh4sWLZV7Hjz/+iIkTJ8LNzQ1btmzBn3/+iQMHDsDBwQEFBQVivbp16+Lq1av47bff0KJFC+zcuRMtWrTAnDlzxDq9evXCrVu3sGLFCpiZmWHJkiVwcHBAbGxssTGYmpri4cOHcuXSMul9JRWNSQcRERERfZE8PT1x8+ZNHD9+vEzL79ixA61bt8b69evRp08fdOjQAe3atUN6erpcXR0dHfTu3RthYWG4c+cOPDw8sGDBArFHAnibQIwZMwa7d+9GcnIyjI2NsWDBgmJj+Oqrr3Dt2jVxuJjUiRMnxPc/BUw6iIiIiOiLNGXKFOjo6GDYsGF4/Pix3Ps3b95EcHBwkcurqqri3Ufebd++Hffv35cpS01NlXmtoaGBevXqQRAEvHnzBvn5+TLDsQCgatWqMDMzUzh0qjAfHx/k5+fLPMAwNzcXYWFhcHFx+SRmrgI4exURERERfaFq1aqFyMhI9O7dG3Xr1pV5IvmxY8ewfft2DB48uMjlPT09MXfuXPj6+qJ58+a4cOECIiIiYGNjI1OvQ4cOqF69OlxdXVGtWjVcvnwZK1euhIeHB/T09JCeng5zc3P4+PigQYMG0NXVxcGDB3Hq1CmZ2awUcXFxQc+ePTF9+nQ8efIEtra22LhxI1JSUrB+/fryOEzlgkkHEREREX2xvLy8cP78eSxZsgTR0dFYs2YNNDU1Ub9+fSxbtgzDhw8vctkZM2bgxYsXiIyMxNatW9GoUSPs3bsX06ZNk6k3cuRIREREICgoCNnZ2TA3N8e4ceMwc+ZMAEClSpUwZswY7N+/H1FRUSgoKICtrS1Wr16N0aNHv3cfNm3ahFmzZmHz5s14/vw56tevjz179sDNze3DDk45kgjv9gkRfcFCQ0Ph6+sLdXX1ig6FiIiI6LPBezqIiIiIiEipmHQQEREREZFSMekgIiIiIiKlYtJBRERERERKxaSDiIiIiIiUikkHEREREREpFZMOIiIiIiJSKiYdRERERESkVEw6iIiIiIhIqZh0EBERERGRUjHpICIiIiIipWLSQURERERESsWkg4iIiIiIlIpJBxERERERKRWTDiIiIiIiUiomHUREREREpFRMOoiIiIiISKnUKjoAok+FIAh49eoVMjMzoa6uXtHhEBEREX0y9PT0IJFIyry8RBAEoRzjIfrPevbsGUxMTCo6DCIiIqJPTkZGBvT19cu8PHs6iP6PpqYmvvrqK+zduxe6uroVHQ6Vk+zsbHh4eLBdPzNs188T2/XzxHb9POjp6X3Q8kw6iP6PRCKBqqoq9PX1+aX4GVFRUWG7fobYrp8ntuvnie1KAG8kJyIiIiIiJWPSQURERERESsWkg+j/aGhoYPjw4dDQ0KjoUKgcsV0/T2zXzxPb9fPEdiWAs1cREREREZGSsaeDiIiIiIiUikkHEREREREpFafMpS9CSkoKFi9ejPPnz0NHRwfu7u4YM2bMe588LggCNm7ciO3btyM9PR329vaYOHEinJycPlLkVJyytuv27dtx9OhRXLx4Eenp6Vi0aBHatWv3kaKm9ylLuz579gwRERE4ceIE7t27B11dXTRs2BB+fn4wNTX9iNFTUcr6eZ01axYuXryIp0+fQl1dHba2thg6dCiaNm36kSKn4pS1XQuLjIxEUFAQWrRogZ9//ll5wVKFYk8HffYyMzMxatQo5OXlYcmSJRgzZgx27dqFoKCg9y67ceNGhISEoG/fvli+fDmqVKkCPz8/3Lt37yNETsX5kHbdu3cv0tPT4erq+hEipdIoa7tevnwZcXFxaNeuHZYtW4bvv/8eN27cwKBBg/D8+fOPFD0V5UM+r2/evEG/fv2wbNkyzJ07FwYGBhg/fjzOnDnzESKn4nxIu0o9e/YM69atQ+XKlZUYKX0SBKLP3IYNG4QWLVoI6enpYtnOnTuFJk2aCE+ePClyuZycHMHNzU1YuXKlWPb69WvB09NTWLhwoVJjpvcra7sKgiDk5+cLgiAI9+/fF77++mvhwIEDSo2VSq6s7ZqZmSm8efNGpuzRo0eCs7OzsHnzZqXFSyXzIZ/Xd+Xl5Qnu7u7C/PnzyztMKqXyaNdZs2YJs2fPFoYPHy6MHz9eSZHSp4A9HfTZO3bsGJo0aQIDAwOxrH379igoKMA///xT5HLnz5/HixcvZIbdqKuro3Xr1jh69KhSY6b3K2u7Am+fjkufprK2q56eHtTUZEcMV6tWDUZGRnj69KnS4qWS+ZDP67tUVVWhp6eHN2/elHeYVEof2q5nz57F4cOH8d133ykzTPpE8C8vffZSUlJgZWUlU6anp4cqVaogJSWl2OUAyC1rbW2NR48eIScnp3wDpVIpa7vSp6082/X27dtIS0uDtbV1+QVIZfKh7SoIAvLy8pCeno7Nmzfj7t276NGjh3KCpRL7kHbNz8/H4sWL4evriypVqigvSPpk8EZy+uxlZmZCT09PrlxPTw+ZmZnFLqehoQFNTU255QRBQFZWFrS0tMo9XiqZsrYrfdrKq10FQcDSpUthYmKCjh07lmeIVAYf2q7R0dGYP38+AKBSpUr48ccfUb9+/XKPk0rnQ9p1+/btePXqFfr166es8OgTw6SDiIg+O6GhoTh58iRWrFgBbW3tig6HPlCrVq1gb2+P9PR0HDx4ENOnT8eSJUs4GcR/VFpaGkJCQhAYGFiqWa7ov41JB3329PX1kZ2dLVeelZUFfX39Ypd7/fo1cnNzZXo7srKyIJFIFF7doY+nrO1Kn7byaNddu3Zh3bp1mDVrFpo0aVLeIVIZfGi7GhoawtDQEADQvHlzZGZmIjg4mElHBStru65duxZ2dnZo2LAhsrKyALwdbpWfn4+srCxoa2vL3aNF/31sUfrsWVlZyY0tzc7OxrNnz+TGor67HPB2XLi9vb1YnpKSgurVq3NoVQUra7vSp+1D2zUuLg6LFi3CqFGj0LVrV+UESaVW3p/XOnXq4NixY+UTHJVZWds1JSUFp0+fRuvWreXea926NX755Rc0b968nKOlisakgz57zZs3R1hYGLKyssTeiYMHD0JFRaXYh0vVr18fOjo6OHjwoJh05OXlIS4ujlfXPgFlbVf6tH1IuyYmJuKHH35At27dMGzYsI8RLpVQeX9ez507hxo1apR3mFRKZW3XSZMmiT0cUkFBQdDU1MTYsWNhZ2en1LipYjDpoM+et7c3tm7dikmTJmHIkCF48uQJgoOD0aNHD5iYmIj1Ro8ejYcPH2L37t0AAE1NTfj6+iI0NBRGRkawtbXF9u3bkZGRgf79+1fQ3pBUWdsVAC5duoQHDx4gPT0dAHDx4kUAgJGREb7++uuPuRv0jrK2a3JyMiZPngwLCwu4u7vjwoULYl0jIyOYm5t/7F2hQsrargkJCdi7dy9atGiBatWqITMzE/v27cPx48exYMGCCtobkipru9auXVtuXbq6uqhUqRKcnZ0/Vvj0kTHpoM+evr4+1qxZgyVLlmDSpEnQ0dFBt27dMGbMGJl60vGkhQ0aNAiCIGDLli14/vw57O3tsWLFCv6A+QR8SLtu27YNe/bsEV9v2bIFANCoUSOEhoYqP3gqUlnb9eLFi8jOzkZ2djaGDh0qU9fT0xMBAQEfI3wqQlnb1dzcHK9fv8bKlSuRnp4OQ0ND2NnZISQkhBcIPgEf8j1MXx6JIAhCRQdBRERERESfLz4ckIiIiIiIlIpJBxERERERKRWTDiIiIiIiUiomHUREREREpFRMOoiIiIiISKmYdBARERERkVIx6SAiIiIiIqVi0kFERERERErFpIPoM/DkyRMYGBhg3bp1MuWDBw+GlZVVxQT1mQgICIBEIkFKSspH2V54eLjc9l69egUzMzMEBgaWen1FnRtUdtI2io+Pr+hQqIJ96PcDz6UvV0pKCiQSCQICAj7qduPj4yGRSBAeHl6m5c+ePQsVFRUcPny41Msy6SD6DMycORMmJibw9fUtUf1Hjx5h8uTJcHR0hJ6eHvT19WFnZ4c+ffogKipKpm6rVq2gq6tb5Lqkf3QTExMVvv/8+XNoa2tDIpFg8+bNRa7HysoKEolE/E9DQwNWVlYYNmwY7t69W6L9+lxpa2tj2rRpWLJkCR4+fFiqZUt7btCX7ezZswgICPhoSTZVvJSUFAQEBODs2bMfdbs81+Slp6cjICDgk05Cv/rqK3Tr1g2TJk2CIAilWpZJB9F/3L1797BhwwZ89913UFNTe2/927dvo0GDBli1ahWaNm2KRYsWYeHChfD09MSVK1cQFhZWrvFFREQgNzcX1tbW2LBhQ7F1zc3NsXnzZmzevBnBwcFwcXHBhg0b4OLigmfPnpVrXP81Q4cOhUQiQVBQUImXKe25QSUzYMAAvHr1Cm5ubhUdSrk7e/YsAgMD+UPwC5KSkoLAwMAKSTq+5HPN0tISr169wsyZM8Wy9PR0BAYGftJJBwBMmDABSUlJ+OOPP0q1HP8KEf3HhYSEQCKR4Ntvvy1R/aVLl+LJkyfYvXs3unbtKvf+o0ePyjW+9evXo3Xr1ujatSsmTJiAW7duwcbGRmFdAwMD9O/fX3w9evRoVK1aFStXrkRYWBj8/f3LNbb/Eh0dHfTo0QPh4eGYP38+NDU137tMac+Nipafn4/c3FxUqlSpokMplqqqKlRVVSs6DCL6D5NIJNDS0qroMMrkm2++gZWVFdauXQsPD48SL8eeDvriSMfQ/vXXX5g7dy4sLS2hra0NFxcX/PPPPwCAw4cPo0WLFtDR0YGpqSnmzZuncF2JiYno3r07qlSpAk1NTdSuXRsLFixAXl6eTL2TJ09i8ODBsLe3R6VKlaCnpwdXV1fs2rVLbp2DBw+GRCJBRkaG+KNbS0sLrq6uOHHihFz97du3w9nZGVWrVi3R/l+/fh0A0LZtW4XvV69evUTrKYnTp0/j7NmzGDRoEPr27Qs1NbX39na8q2PHjgCAGzduFFknNjYWEokEv/zyi8L3mzVrBhMTE7x58wZA6dpDEWkbKSKRSDB48GC58q1bt6JFixbQ09NDpUqV4OLigh07dpRoe1KdO3fGs2fPEBcXV6L6RZ0bBQUFWLBgAdzc3FC9enVoaGigZs2aGD16NFJTU8V66enp0NLSQo8ePRSuf/r06ZBIJDJXSDMyMjB16lTY2tpCU1MTJiYm+Pbbb3Hr1i2ZZaWfw4MHD2LevHmoVasWtLS0sG3bNgDA/v370bt3b9jY2EBbWxuGhobo0KFDkeOId+7ciQYNGkBLSws1a9ZEYGAgDh48qHDscm5uLn788Uc4ODhAS0sLhoaG6NKlC86cOVOi46poHH55fa9YWVmhVatWOH36NNq0aQNdXV1UrlwZgwYNwpMnT2TqZmVlYebMmXBxcRG/g2xtbTFt2jS8fPlSbt2CIGDdunVwcXGBrq4udHV14eTkhNmzZwN4O1RSOgyvdevW4lBHRefzu86fP4/u3bvD2NgYWlpaqFevHhYvXoz8/HyZeqX9flNEOqTz0qVLmDBhAkxNTVGpUiW0bdsWV69eBQBERUWhUaNG0NbWhpWVFUJDQxWu69dffxXrGRgYoEOHDkhISJCrV1BQgIULF8La2hpaWlpwdHREREREkTE+fPgQo0ePRs2aNaGhoQEzMzOMGDFCrg1Lq6THuVWrVgrv53v3PoLw8HC0bt0aAODr6yu2eatWrQDIjv9fsWIF7O3toaWlBXt7e6xYsUJu/dLz913v3kdQ1nNNev6kpqZi8ODBqFKlCvT09NCtWzfxglloaCjq1q0LLS0t1KlTB9HR0XLrWb16NTp06IAaNWpAQ0MDpqam6N+/v8Jel/z8fMybNw+WlpbQ0tJC/fr1sXXrVoX385Tm/H63LeLj42FtbQ0ACAwMFI+JtB2LuxejqL9J0dHRaNiwIbS0tGBhYYFZs2aJfwffVZrvRYlEgo4dO2Lfvn3Izs5WuD5F2NNBX6xp06YhPz8f48ePx+vXr7Fs2TJ06NABmzZtwtChQzFixAj069cP27Ztw+zZs2FtbS1zFX7v3r3o0aMHbG1tMWnSJFSuXBnHjx/H7NmzcfbsWWzfvl2su2vXLly5cgW9evWCpaUlUlNTsXHjRvTo0QMRERHo27evXHwdO3aEiYkJZs+ejdTUVAQFBcHDwwPJycnQ09MDADx+/BhXr17FuHHjSrzftWrVAgCsW7cOEyZMKPLH87uKGt6k6MeN1Pr166Grqwtvb2/o6OjA09MTGzduxNy5c6GiUrJrHtIkqUqVKkXW6dChA6pXr45NmzbJHYvr16/jn3/+wbhx46Curg6gbO3xIWbOnIkFCxagU6dOmDdvHlRUVLBr1y707NkTK1euxNixY0u0nmbNmgF4+8enU6dOxdYt7tx4/fo1lixZAm9vb3Tt2hU6Ojo4deoU1q9fj4SEBCQlJUFDQwOGhobw8vJCdHQ00tLSULlyZXEdBQUFiIiIQP369fHVV18BeJtwNG/eHHfu3MGQIUPg4OCAhw8fYvXq1XBxcUFiYiIsLS1lYpk8eTLevHmD4cOHQ19fH7Vr1wbw9sdQWloaBg4cCHNzc9y/fx+//vor2rZti7i4OHzzzTfiOrZu3Ypvv/0WtWrVwpw5c6CmpoaNGzciJiZGbt/fvHmDTp064dixYxgwYAD8/PyQkZGBdevWwdXVFUeOHIGzs3OJ2kORD/1eAd4Oi2vbti28vb3h4+OD06dPY8OGDUhMTMSpU6fEniDpMfH29haT+sOHD2Px4sU4c+YM/vzzT5n1DhgwABEREXBxccEPP/wAQ0NDXLlyBTt27MDcuXPRo0cPPHz4EKGhoZgxYwbq1q0L4H/fGUVJTExEy5Ytoa6ujrFjx6J69eqIiYnB1KlTce7cOYU/zkvy/fY+gwYNgq6uLmbMmIGnT59i2bJl6NixI+bNm4cpU6Zg9OjRGDJkCNavX4+RI0eiXr16aNGihbj81KlTsXjxYjRp0gQ//vgjsrKyEBoaitatWyM6Ohru7u5i3YkTJyI4OBhubm74/vvv8eTJE4wdO1Zhr+2dO3fQrFkzvH79GkOHDkWtWrVw48YNrFmzBnFxcUhMTISBgUGJ9vFDj/P7uLm5YcaMGfjxxx8xYsQI8XNVrVo1mXorVqzAo0ePMHLkSOjp6eH//b//h3HjxiEtLQ1z5swp9XbLeq5JderUCebm5pg7dy5u3LiBX375Bd27d0ePHj0QGhqKoUOHQktLC7/88gt8fHxw7do18Qc98LbHv2nTphg3bhwqV66Mixcv4tdff8WhQ4dw4cIFGBsbi3X9/Pywdu1atG7dGpMnT8bTp08xZswYmfW9qyznd926dbF8+XJ8//334r4AKPaeyuLs2rUL3t7esLKywuzZs6GmpoawsDDs3btXrm5ZvhebNWuGkJAQJCQkvPfvkUgg+sKEhYUJAISGDRsKubm5Ynl0dLQAQFBTUxNOnTollufm5grVq1cXmjZtKpa9evVKqFatmvDNN98Ib968kVl/UFCQAECIi4sTy7Kzs+XiePHihWBvby/UrVtXpnzQoEECAGH06NEy5du2bRMACGvXrhXLDh06JAAQgoODFe7roEGDBEtLS5mymzdvCvr6+gIAwcLCQujbt6+wfPlyITExUeE6WrZsKQB473+Fj5n0GBkaGgqDBg0Sy3bv3i0AEP744w+57VhaWgp16tQRnj59Kjx9+lS4deuWsGHDBsHAwEBQU1MTLly4oDA+qcmTJwsAhH///VemfObMmQIAISkpSSwrTXvMmTNHACAkJyeLZdI2UgSAzD4nJSUJAITp06fL1e3ataugp6cnZGZmimXS87Pw9gpTU1MTPD09Fb5XWHHnRkFBgfDy5Uu58l9//VUAIGzdulUs27NnjwBAWLVqlUzdgwcPCgCEZcuWiWXjxo0TtLS0hLNnz8rUTUlJEfT09GSOi3Q/7e3thRcvXsjFoqiNHj16JBgbGwudO3cWy968eSOYmZkJVatWFdLS0sTyrKwswdraWgAghIWFieXSz+e+fftk1p2RkSFYWFgILVu2lNvuu6SxF/6Ml8f3iiC8/RwAEJYvXy5TLo174cKFMut4/fq1XHzSc/7EiRNi2datWwUAQv/+/YX8/HyZ+oVfK9q392nevLmgqqoqnDt3TiwrKCgQevbsKQAQDh48KJaX5vutKNLPpKenp1BQUCCWBwcHCwAEPT094c6dO2L5kydPBE1NTaFPnz5i2ZUrVwSJRCK4urrKtNf9+/cFAwMDwdLSUsjLy5Op26ZNG7FMEN5+tiUSidzn1cvLSzAxMRHu3r0rE/epU6cEVVVVYc6cOWJZaY53aY5zy5Yt5b77BUEQkpOTBQAyMcTFxcl9Tt59T1dXV2Z/cnNzhcaNGwtqamoy5ZaWlgo/Q4q2UZZzTXr+jBkzRqb8+++/F/+mZWRkiOXnzp0TAAjTpk2Tqa/o+0X6nfbTTz+JZRcvXhQACB07dpT5nJw/f15QUVEp8m9DSc5vRW2hqEyquHZ6929SXl6eYGFhIRgbGwtPnz4Vy9PT04WaNWuWy/fi33//LQAQli5dKvdeUTi8ir5Yo0ePhoaGhvhaeoXHxcVFJqPX0NBAkyZNxCvuAHDgwAE8fvwYvr6+SE9Px7Nnz8T/pFfH9u/fL9bX0dER//3y5Uukpqbi5cuXaNOmDS5fvozMzEy5+L7//nuZ123atAEAmTiePn0KADJXoN/HxsYG586dE6+uR0ZG4vvvv4ezszPq16+PpKQkuWW0tLRw4MABhf8NGDBA4XaioqKQnp6OQYMGiWXu7u4wMTEpcojVlStXYGJiAhMTE9jY2GDIkCGoUqUKoqOj4ejoWOx+SbezadMmsUwQBGzZsgWOjo5o1KiRWF6W9iiriIgISCQSDBo0SOY8efbsGby8vJCVlYXjx4+XeH2VK1cu0RCN4s4NiUQCbW1tAG+HDkjPYek5VngYQMeOHVGtWjWZ4wq8Pc5qamro168fgLfHOiIiAm5ubqhRo4bMfuro6KBp06Yynwmp0aNHK7yHo3AbZWdnIzU1FaqqqnBxcZGJLykpCQ8ePMDgwYNhZGQkluvq6mLUqFFy692yZQvq1KmDr7/+WibG169fo3379khISMCrV68UHNGS+ZDvFSl9fX2MGTNGpmzMmDHQ19eXGQKooaEh9t7l5eXh+fPnePbsGdq1awdAth2lV8GXLl0q18tY0l5HRZ48eYJjx47By8sL9evXF8slEgl++OEHAFA4bLEk32/vM27cOJmeWumx9vLygoWFhVhuYmKC2rVry6w7OjoagiBgypQpMu1lZmYGX19f3L59WxxWIq07ceJEmXt5GjVqhPbt28vElJGRgT179sDLywtaWloy55iVlRVsbW0Vfg7ep6zHubz069cP5ubm4msNDQ18//33yMvLU9ijqGwTJkyQeS1t+4EDB0JfX18sr1+/PvT19eXOK+n3S0FBATIyMvDs2TM0aNAABgYGMp+bPXv2AADGjx8v8zlxcnISh/4qUh7n94dISkrC3bt34evrKzNKwMDAoNy+F6W9QaUZMsjhVfTFerdbXPqDRVGXqZGRkcxY98uXLwMAhgwZUuT6Hz9+LP77yZMnmDlzJqKjoxV+QNPT02W+KBXFJ/2AF45D+gdXKOW0dVZWVli5ciVWrlyJhw8fIiEhAZs3b0ZMTAw8PT3x77//yvxYVVVVFX/IvEvR+Gfg7dAqExMTmJuby9yP0aFDB2zfvh3Pnj2TGzJlZWUlPk9COg7a1ta2RPskTSwiIiLw448/QkVFBUeOHEFKSgoWL14sU7cs7VFWly9fhiAIqFOnTpF1Cp8r7yMIQomGxL3v3Ni2bRuWLVuGM2fOyI3xff78ufhvaWIRFBSEa9euwd7eHi9evEBUVBQ6dOggDsN4+vQpUlNTsX//fpiYmCjcpqIft/b29grr3rx5Ez/88AP+/PNPpKenK9w3AEhOTgYAcVhWYYrKLl++jFevXhUZI/B2KGHhH62l8SHfK4XXUfiHMABoamrCxsZG7t6Y1atXY+3atfj3339RUFAg817hdrx+/TpMTU3lhs18KOnxd3BwkHuvbt26UFFRkYsZKNn32/uU9ljfvn27RHFLy27dugVnZ2cxfkWf4Xr16skkEVevXkVBQQHWr1+P9evXlyjukijrcS4v0uFPhdWrVw8AlLrdonzo5+zQoUOYO3cuTpw4gZycHJn3Cn9u3vf9EhsbW6L4ynJ+f4j3nbPvKsv3ovRvS0mHaANMOugLVtTsMyWZlUb6YVuyZIk4nv1dZmZmYt0OHTrg8uXLGD9+PJydnWFgYABVVVWEhYUhMjJS7sdCcXEU/hEp/YJIS0t7b8xFMTU1Rc+ePdGzZ0/069cPkZGR+OOPP+TGmZdGcnIy4uLiIAhCkT8qt2zZIne1SkdHp8jkpiQGDhyICRMm4NChQ2jXrh02bdoEVVVVmX0pa3sUVtSX7LsTCEi3J5FIEBsbW2SbKvohUZTnz58X+4dBqrhzIyoqCr1790aTJk0QHBwMCwsLaGlpIT8/H506dZLb/4EDByIoKAibNm3C/PnzERUVhezsbJleLOl52a5dO0ydOrXE+6OolyM7Oxtubm548eIFJkyYACcnJ+jp6UFFRQULFy7EoUOHSrz+dwmCACcnp2KnHi7J8S3Kh3yvlFZQUBAmTZqEDh06YNy4cTAzM4OGhgbu37+PwYMHv/c8rkgl+X4r6zrKY91lJd1G//79ZT4fhUl7GZWpNN9R/8Xtfkjbnzp1Ch06dICtrS0WLVoEa2tr8VlSffr0KZfPjTLOweJ+3H/o8S3L96L0b0tpvi+ZdBCVgZ2dHYCS/Ug+f/48zp07h9mzZ8s9UfrXX3/9oDikP1bLq8u2adOmiIyMxP379z9oPWFhYeJMOYaGhnLvz5w5Exs2bJBLOj5U37594e/vj02bNsHV1RU7duxA+/btYWpqKtYpj/aQ9gK9e3O1oit+dnZ22LdvH2rWrKnwamFppKSkIC8v771DzYDiz43NmzdDS0sLcXFxMj/6r1y5onBdDRo0QIMGDbBlyxbMmzcPmzZtEm8ylzIxMYGhoSEyMzM/KHEEgL/++gsPHjzAhg0b5B5qWHhOewDizC7SWYsKU1RmZ2eHp0+fok2bNh80rEiZbt26hdevX8v0duTm5uLWrVsyVy43b94MKysrxMbGyuzLvn375NZpb2+P6OhoPH78uNjejtJctQT+d2X533//lXvvypUrKCgoKNOVfWWTxvTvv//K3bx86dIlmTrS/1+5cqXIulK2traQSCR4/fr1B38OCivtca5cubLCobKKvqNK0ubS3v3C3j1O0u0qutBR1u0qQ2RkJPLz8xEbGyvTM/LixQuZXg5A9vvl3fNY0ffLhyrumBT+u/Oud49v4XP2Xe+es0DZvhelIxhK8vdI6tP8xiX6xHXs2BFVq1bFokWLFH4BvHr1CllZWQD+d8Xj3SscFy9e/OAxuCYmJnBwcBCn5CyJ+Ph4hWPWCwoKxLG5irpfS6qgoADh4eFwcnLCsGHD4OPjI/fft99+iwsXLuDUqVNl3o4iJiYm6Ny5M6KiohAREYHMzEy5q43l0R7S3puDBw/KlC9btkyurvSelxkzZshNawmUbmiVtJ1btmz53rrFnRuqqqqQSCQyV/QEQcD8+fOLXN+gQYNw+/ZtREZG4tChQ+jdu7fMHPMqKiro168fTp48WeRUwCUd+1tUG+3fv19u2klnZ2eYmpoiPDxc5gdDdnY21q5dK7fugQMH4tGjR0Ve0StNeyhLZmYmVq9eLVO2evVqZGZmolu3bmKZtB0LH6e8vDwsWrRIbp3Se2+mTJkidyW38PLSmXJK2ntatWpVNG/eHDExMbh48aLMOhcuXAgA6N69e4nW9TF5eXlBIpFgyZIlMsMLHz58iLCwMFhaWqJhw4YydYOCgmQ+w6dPn5b7DjA2Noa7uzuioqIUfvYEQRDvtyqN0h5ne3t7ZGVl4eTJk2JZQUEBli9fLrfukrR5REQE7t27J75+/fo1li9fDlVVVXh6esps98qVKzIXrnJzc7Fq1aoybVcZivp++fHHH+U+G126dAEABAcHy7x34cIFudnhykNxx8Ta2hpqampy59yxY8fkzrWvv/4a5ubmCAsLk5l5MjMzs9y+F//55x+oqanB1dX1/Tv2f9jTQVQGOjo62LRpE7p164batWtjyJAhsLW1RXp6Oq5cuYKoqCjs2rULrVq1Qt26deHg4IDFixfj5cuXqF27Nq5du4aQkBA4OTkpvBpVGj179sS8efPw8OFDmSv6RVm6dCmOHj2KLl26oFGjRjAwMMCjR4+wc+dOJCUloXXr1qV62M+79u/fj7t372Lo0KFF1vH29kZAQADWr1+Pxo0bl3lbigwaNAi///47Jk2aBAMDA5kfaQDKpT2+/fZbzJgxAyNGjMCVK1dQuXJl7Nu3T+G0wo0bN0ZAQAACAgLw1VdfoWfPnjAzM8PDhw/FJ7q+fv26RPv2xx9/oEqVKuK8+u9T1Lnh4+ODnTt3ok2bNhg4cCDevHmD3bt3Fzv9cb9+/TBlyhSMGTMGBQUFCoeOLFiwAEePHkWvXr3Qq1cvNG3aFBoaGrh9+zb++OMPfP311wrnmH9XixYtUL16dUyaNAkpKSkwNzfH2bNnsXnzZjg5OeHChQtiXTU1NSxduhT9+vVDkyZNMHToUKipqSE8PBzGxsZITk6WuXo4fvx4HDhwAP7+/jh06BDatGkDfX193LlzB3/99ZfYA1SRatWqhcDAQFy8eBFff/01kpKSsGHDBtSpU0dmCmQfHx9Mnz4dnTt3Ro8ePZCZmYnIyEjx5vLCevbsid69e2PTpk24fv06vLy8YGRkhGvXruHPP/8Uf8g2btwYKioqWLBgAZ4/fw4dHR1YW1vDxcWlyHiDg4PRsmVLfPPNN+JUrnv27MGff/6Jvn37FvlMoIpUu3Zt+Pv7Y/HixXBzc0Pv3r3FKXOzs7MREREh/jitU6cOxo4di5UrV6JNmzbw9vbGkydPsHLlSjRo0EDuOQZr1qxBixYt4ObmhoEDB6Jhw4YoKCjArVu3EB0djYEDB4rPZiiN0hznESNGYNmyZejevTvGjx8PDQ0N7NixQ+EwnHr16kFPTw+rV69GpUqVYGhoiKpVq4o3PwNvkwkXFxeMGjUKenp6iIyMxKlTpzBr1iyZcf5+fn747bff0K5dO4waNQqvX7/G5s2bFQ6jLMu5Vh66d++O5cuXw93dHSNGjICGhgYOHDiA8+fPy91n6ODggBEjRiA0NBTt2rVD9+7d8fTpU6xatQoNGzZEUlJSufbYGBsbw9bWFr/99htq1aqFatWqQUdHB126dIGuri4GDx6MX3/9Fd9++y1atWqF69evIywsDPXr18e5c+fE9aiqqmL58uXo1asXmjRpguHDh4vPyTI2NsadO3dktlva70VBELBv3z506tSpdFP6lnieK6LPRHHT9OGd6U6lipoi9cKFC0K/fv0EMzMzQV1dXahatarQrFkzYe7cuUJqaqpYLyUlRfDx8RGqVKkiaGtrC40bNxaioqI+eDpWQXg7xaOamprCaesUTZl7/PhxYeLEiYKzs7NQtWpVQU1NTTAwMBCaNm0qLFu2TMjJyZGp37JlS0FHR0dhPILwv+krpdOB+vj4CACE8+fPF7mMIAiCvb29YGBgIE7damlpKTg4OBS7TEnk5uYKlStXFgAIw4YNU1inNO2hqEwQBOGff/4RmjdvLmhqagrGxsbC8OHDhefPnxd5Du3Zs0fo0KGDYGRkJGhoaAjm5uZCp06dhDVr1sjUK2rK3OzsbEFHR0eYPHlyiY9FcedGaGioULduXUFTU1OoXr26MHz4cCE1NbXI+AVBEDw9PQUAgp2dXZHbfPHihTB37lzB0dFR0NLSEnR1dYU6deoIw4YNE/755x+5/Sxqusxz584JHTt2FAwNDQVdXV2hZcuWwpEjR4r8fGzbtk1wcnISNDQ0BAsLCyEgIECIioqSmwJYEN5OsxscHCw4OzsLlSpVEipVqiTY2toKffv2Ff78888i96242Mvre0U65WhSUpLQunVroVKlSoKhoaHQv39/4dGjRzJ18/LyhB9//FGoVauWoKGhIdSsWVPw9/cXLl26pHDazfz8fGHlypVCw4YNBW1tbUFXV1dwcnISAgICZOqFh4cLdevWFdTV1Ys9Hwo7e/as0LVrV/H8rlOnjvDTTz/JTDFb1D6/7zi9q6jPZHHTjRY1hWxoaKjw1VdfCZqamoKenp7Qrl074ciRI3L18vPzhfnz5ws1a9YUNDQ0BAcHB2HLli1FxvL06VNh8uTJgp2dnaCpqSkYGBgIjo6Owrhx42Sm9S7ttLElPc6CIAh79+4VGjRoIGhoaAimpqbClClThCtXrig8Rnv37hUaNmwoaGpqCgDEKVILT9MaHBws2NraChoaGoKtra3w888/K4wxPDxcsLe3F9TV1QUrKyvhp59+Ev766y+F072W9lwr6vwpbjpZRdP47tq1S2jUqJFQqVIlwdjYWOjdu7dw+/ZthXXz8vKEgIAAwcLCQtDQ0BCcnJyErVu3CpMmTRIACI8fP35vfIIgf34Xdb6eOHFCaN68uVCpUiUBgMx5m5WVJQwdOlSoXLmyoK2tLbRo0UI4evRokdvduXOneA6Ym5sLM2fOFPbv36/wWJXmezE+Pl4AIOzZs0fhvhZF8n8Hgoj+w0aNGoX9+/fj6tWrMlc5Bw8ejPj4eIVPWaVPU3h4OHx9fZGcnCzzROHg4GD88MMP4ixEJVXUufElWLZsGSZPnozjx4+jadOmFR1OiVhZWcHKykrmaedEFSU+Ph6tW7dGWFhYiZ5M/yXp0qULDh06hMzMTKVMFPEp6969O+7evYtTp06VqqeH93QQfQbmzp2L1NRUhIWFVXQopASvXr3CokWL4O/vX6qEA/gyzo3Xr1/L3S+TnZ2NVatWwdjYWOYZLUREpaHoHsjz588jNjYWbdq0+eISjjNnziA6OhrLli0r9dAy3tNB9BmoWrUqMjIyKjoMUhJtbW08fPiwTMt+CefGrVu30LlzZ/Tp0wfW1tZ4+PAhNm7ciOTkZKxZs0bumRdERCW1ceNGbNq0CR4eHjAxMcGVK1cQGhoKDQ0NzJ07t6LD++ik9yiVBZMOIiL6TzMxMUHTpk0RERGBJ0+eQE1NDU5OTli0aBF69epV0eER0X9Yo0aNsGvXLvzyyy9IS0uDnp4e2rRpgzlz5ogznFHJ8J4OIiIiIiJSKt7TQURERERESsWkg4iIiIiIlIpJBxERERERKRWTDiIiIiIiUiomHUREREREpFRMOoiIiIiISKmYdBARERERkVIx6SAiIiIiIqVi0kFEREREREr1/wH7f+r0Dc4NHQAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ @@ -867,18 +862,47 @@ "shap_values.values = list(np.transpose(shap_values.values,(2,0,1)))\n", "\n", "print('Features matrix - # samples: {}, # features: {}'.format(X_train_sel.shape[0], X_train_sel.shape[1]))\n", - "print('SHAP values matrix - # samples: {}, # features: {}'.format(shap_values.values[0].shape[0], shap_values.values[0].shape[1]))" + "print('SHAP values matrix - # samples: {}, # features: {}'.format(shap_values.values[0].shape[0], shap_values.values[0].shape[1]))\n", + "\n", + "shap.summary_plot(\n", + " shap_values.values, \n", + " shap_values.data, \n", + " plot_type='bar')" + ] + }, + { + "cell_type": "markdown", + "id": "d3144a39", + "metadata": {}, + "source": [ + "The global bar plot shows how much influence correlation among fetaures has on the computed SHAP values. The feature *mean radius*, which scores as top impacting feature and has a SHAP value of ~0.5, had a very low SHAP value of ~0.03 and was not among the top 10 scored feature when we analysed the full model. However, if we have a look at the correlation matrix, we observe that the *mean radius* is highly correlated to the top four scored feature for the full model. This illustrates why you have to be careful when using SHAP for models that were trained on datasets with high feature correlations!" + ] + }, + { + "cell_type": "markdown", + "id": "2c9ffdc5", + "metadata": {}, + "source": [ + "Now, let's have a look at the SHAP explanations for the test set." ] }, { "cell_type": "code", "execution_count": 18, - "id": "212fe131", + "id": "dd9645d4", "metadata": {}, "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Features matrix - # samples: 114, # features: 5\n", + "SHAP values matrix - # samples: 114, # features: 5\n" + ] + }, { "data": { - "image/png": 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", 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", 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" ] @@ -888,19 +912,28 @@ } ], "source": [ + "# run SHAP with background data and masker\n", + "explainer = shap.TreeExplainer(model=model_breastcancer_sel, data=shap.maskers.Independent(X_test_sel, max_samples=len(X_test_sel)), model_output=\"probability\")\n", + "\n", + "shap_values = explainer(X_test_sel)\n", + "\n", + "# round values and add feature names for plotting\n", + "shap_values.data = X_test_sel.round(4) \n", + "\n", + "#NOTE: the new SHAP package is still a bit buggy.\n", + "# the returned dimensions for the shaply value\n", + "# matrix are swapped. Hence, we need to put\n", + "# then into correct order first.\n", + "shap_values.values = list(np.transpose(shap_values.values,(2,0,1)))\n", + "\n", + "print('Features matrix - # samples: {}, # features: {}'.format(X_test_sel.shape[0], X_test_sel.shape[1]))\n", + "print('SHAP values matrix - # samples: {}, # features: {}'.format(shap_values.values[0].shape[0], shap_values.values[0].shape[1]))\n", + "\n", "shap.summary_plot(\n", " shap_values.values, \n", " shap_values.data, \n", " plot_type='bar')" ] - }, - { - "cell_type": "markdown", - "id": "d3144a39", - "metadata": {}, - "source": [ - "The global bar plot shows how much influence correlation among fetaures has on the computed SHAP values. The feature *mean radius*, which scores as top impacting feature and has a SHAP value of ~0.5, had a very low SHAP value of ~0.03 and was not among the top 10 scored feature when we analysed the full model. However, if we have a look at the correlation matrix, we observe that the *mean radius* is highly correlated to the top four scored feature for the full model. This illustrates why you have to be careful when using SHAP for models that were trained on datasets with high feature correlations!" - ] } ], "metadata": {