modeling_results.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "56734701-6549-42dc-817e-217af98a7cb7",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sn"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ec42e8b2-0380-47da-a5b8-bb3f72e2cb84",
   "metadata": {},
   "source": [
    "# One-dimensional vs. Multidimensional"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cedb2b79-a440-405f-a84d-ab853705b1b8",
   "metadata": {},
   "source": [
    "## Held-out log-likelihoods"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0977fee1-3015-418f-950f-4d5a18542a28",
   "metadata": {},
   "outputs": [],
   "source": [
    "def cross_val_log_lik(fname):\n",
    "    df = pd.read_csv(fname, index_col=0)\n",
    "    return np.mean(np.array(df),axis=(0, 1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "532dc816-3a1a-440d-8897-112b70edaa3c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1d h\n",
      "-1.7778172874179334\n",
      "1d a\n",
      "-1.728105188177833\n",
      "md h\n",
      "-1.6322015896696225\n",
      "md a\n",
      "-1.6485640363772915\n"
     ]
    }
   ],
   "source": [
    "for i in ['1d','md']:\n",
    "    for j in ['h', 'a']:\n",
    "        print(i, j)\n",
    "        fname = \"modeling_results/{}_other_{}_fb_CV.csv\".format(i,j)\n",
    "        print(cross_val_log_lik(fname))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cefa04f3-eea7-438c-b913-a24d64025e67",
   "metadata": {},
   "source": [
    "## Latent correlations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "39a714de-f641-4624-b588-f2a716a034ae",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_corrs(df_corr):\n",
    "    omegas = [['Omega.'+str(i)+\".\"+str(j) for j in range(1,5)] for i in range(1, 5)]\n",
    "    corr = []\n",
    "    for row in omegas:\n",
    "        corr_row = []\n",
    "        for col in row:\n",
    "            corr_row.append(np.mean(df_corr[col]))\n",
    "        corr.append(corr_row)\n",
    "    return corr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "ecbbbf81-a18f-4925-91a4-38db19bd50e1",
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_corrs(corrs, labsx, labsy):\n",
    "    _min = 1\n",
    "    _max = 0\n",
    "    for corr in corrs:\n",
    "        if np.min(corr) < _min:\n",
    "            _min = np.min(corr)\n",
    "        if np.max(corr) >_max:\n",
    "            _max = np.max(corr)\n",
    "    for corr in corrs:\n",
    "        fig, ax = plt.subplots(figsize=(7,7))\n",
    "        sn.heatmap(corr, annot=True,xticklabels=labsx, yticklabels=labsy,\n",
    "                   cmap='crest', cbar=False, vmin=_min, vmax=_max, ax=ax)\n",
    "        plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "dcf2d0ed-2791-4fa2-99e1-3fe5b65a9bba",
   "metadata": {},
   "outputs": [],
   "source": [
    "sn.set(font_scale=1.9)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "dd23d1db-ec22-400c-a9cc-4ccf0d41d7ec",
   "metadata": {},
   "outputs": [],
   "source": [
    "labsy = ['History of Art','Video Games','Cities','Math']\n",
    "labsx = ['HA', 'VG', 'C', 'M']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "928316f9-0eef-4f58-a9a3-94b832490312",
   "metadata": {},
   "outputs": [],
   "source": [
    "human_md = pd.read_csv('modeling_results/md_other_h.csv', index_col=0)\n",
    "human_corrs = get_corrs(human_md)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "e422358d-3716-424d-9f7c-930f1b885362",
   "metadata": {},
   "outputs": [],
   "source": [
    "ai_md = pd.read_csv('modeling_results/md_other_a.csv', index_col=0)\n",
    "ai_corrs = get_corrs(ai_md)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "8695bdf5-2533-4d9a-b769-3d0da80b058d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 700x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 700x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_corrs([ai_corrs,human_corrs], labsx, labsy)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "de27fbaa-cfbc-45f8-9298-92cd3f62519c",
   "metadata": {},
   "source": [
    "# Undifferentiated vs. Differentiated by Ability vs. Fully Differentiated"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a53e39e9-4c18-422e-9c0a-317a7a532129",
   "metadata": {},
   "source": [
    "## Held-out log-likelihoods"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "c7b483a4-88a8-4ba9-9321-8bad3e12c86e",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Human \t\t\t\t AI\n",
      "u\n",
      "-2.696546861843219 \t\t -3.37315763713974\n",
      "a\n",
      "-2.0334928998672837 \t\t -2.1996250838430282\n",
      "f\n",
      "-2.190105717128376 \t\t -2.179834058836891\n"
     ]
    }
   ],
   "source": [
    "print(\"Human \\t\\t\\t\\t AI\")\n",
    "for diff_type in ['u','a','f']:\n",
    "    s= {}\n",
    "    for agent_type in ['h', 'a']:\n",
    "        fname = \"modeling_results/{}diff_{}_fb_CV.csv\".format(diff_type,agent_type)\n",
    "        s[agent_type] = cross_val_log_lik(fname)\n",
    "    print(diff_type)\n",
    "    print(s['h'], \"\\t\\t\", s['a'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "46b224fc-0681-4a1a-9355-a862f80a00fb",
   "metadata": {},
   "source": [
    "## Average WAIC and LOO scores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "29d48f44-cb44-4b23-9d97-6296c6557d2c",
   "metadata": {},
   "outputs": [],
   "source": [
    "def compute_average_score(fname):\n",
    "    with open(fname, \"r\") as f:\n",
    "        waics, loos = f.readlines()\n",
    "    waics = [float(x) for x in waics.strip().replace(\"[\",\"\").replace(\"]\",\"\").split(\",\")]\n",
    "    loos = [float(x) for x in loos.strip().replace(\"[\",\"\").replace(\"]\",\"\").split(\",\")]\n",
    "    return np.mean(waics).round(3), np.mean(loos).round(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "b25fdd7d-6103-4689-97a2-608a09ca16a2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(WAIC, LOO)\n",
      "Human \t\t\t\t AI\n",
      "u\n",
      "(-42.527, -42.527) \t\t (-67.856, -67.856)\n",
      "a\n",
      "(-29.413, -29.51) \t\t (-30.103, -30.22)\n",
      "f\n",
      "(-29.892, -30.481) \t\t (-28.233, -28.802)\n"
     ]
    }
   ],
   "source": [
    "print(\"(WAIC, LOO)\")\n",
    "print(\"Human \\t\\t\\t\\t AI\")\n",
    "for diff_type in ['u','a','f']:\n",
    "    s= {}\n",
    "    for agent_type in ['h','a']:\n",
    "        fname = \"modeling_results/{}diff_{}_metrics.csv\".format(diff_type,agent_type)\n",
    "        s[agent_type] = compute_average_score(fname)\n",
    "    print(diff_type)\n",
    "    print(s['h'], \"\\t\\t\", s['a'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fb19a49b-fdd5-4744-90d4-c26af8682ee4",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:ml] *",
   "language": "python",
   "name": "conda-env-ml-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.15"
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 },
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