Analysis_07MAY2019_new.ipynb

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    "f_rates = np.zeros(0)\n",
    "\n",
    "for r in range(1, 9):\n",
    "    f_rates = np.append(\n",
    "        f_rates,\n",
    "        contraction(simple_train, 'judgeID_J', 'decision_T', 'result_Y',\n",
    "                    'probabilities_Y', 'acceptanceRate_R', r / 10))\n",
    "\n",
    "print(f_rates)\n",
    "plt.plot(f_rates, label=\"Contraction\")\n",
    "plt.title('Failure rate vs. Acceptance rate, simple data')\n",
    "plt.xlabel('Acceptance rate')\n",
    "plt.ylabel('Failure rate')\n",
    "plt.legend()\n",
    "plt.grid()\n",
    "plt.show()"
   ]
  }
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