{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "2b1b516d",
"metadata": {},
"outputs": [],
"source": [
"import pickle"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "ebb52e31",
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import seaborn as sns\n",
"import matplotlib.pyplot as plt\n",
" \n",
"sns.set(font_scale = 3) \n",
"sns.set_theme()\n",
"sns.set_style(\"whitegrid\") "
]
},
{
"cell_type": "code",
"execution_count": 39,
"id": "12f2f68f",
"metadata": {},
"outputs": [],
"source": [
" def plot_f1_result(results, dataset):\n",
" methods = ['WeSAL', 'AL-RF', 'DualLoop']\n",
" labels = ['WeSAL', 'AL-RF', 'DualLoop']\n",
" \n",
" measurement_list = []\n",
" for exp in methods:\n",
" experiment = results[exp] \n",
" for iteration in experiment:\n",
" m = experiment[iteration]\n",
" \n",
" f1 = m['f1'] * 100.0\n",
" budget = m['human_effort']\n",
" \n",
" if budget > 2000: \n",
" continue\n",
" \n",
" measurement = {\n",
" 'methods': exp,\n",
" 'budget': budget,\n",
" 'f1': f1\n",
" }\n",
" \n",
" measurement_list.append(measurement)\n",
" \n",
" exp_result_df = pd.DataFrame(measurement_list)\n",
"\n",
" fig, ax = plt.subplots(figsize=(6, 5)) \n",
" plt.ylim(0, 100)\n",
"\n",
" p = sns.lineplot(x='budget', y='f1', hue='methods', ax=ax, data=exp_result_df, \n",
" style=\"methods\", markers=True)\n",
"\n",
" p.set_xlabel(\"budget\")\n",
" p.set_ylabel(\"F1 (%)\") \n",
" \n",
" ax.title.set_text(dataset)\n"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "aed1ed7f",
"metadata": {},
"outputs": [],
"source": [
"def plot_cost_over_gain(results, dataset):\n",
" methods = ['WeSAL', 'AL-RF', 'DualLoop']\n",
" labels = ['WeSAL', 'AL-RF', 'DualLoop']\n",
"\n",
" measurement_list = []\n",
" for exp in methods:\n",
" costMap = {}\n",
" experiment = results[exp]\n",
" previous_gain = 0\n",
" for iteration in experiment:\n",
" if iteration == 0:\n",
" continue\n",
"\n",
" m = experiment[iteration]\n",
"\n",
" gain = m['num_true_matches']\n",
" cost = m['human_effort']\n",
"\n",
" if gain == 0 and cost == 0:\n",
" continue\n",
"\n",
" if gain not in costMap:\n",
" for j in range(gain, previous_gain, -1):\n",
" measurement = {\n",
" 'methods': exp,\n",
" 'gain': j,\n",
" 'cost': cost\n",
" }\n",
"\n",
" measurement_list.append(measurement)\n",
"\n",
" costMap[gain] = cost\n",
"\n",
" previous_gain = gain\n",
"\n",
" exp_result_df = pd.DataFrame(measurement_list)\n",
"\n",
" fig, ax = plt.subplots(figsize=(6, 5))\n",
"\n",
" p = sns.lineplot(x='gain', y='cost', hue='methods', ax=ax, data=exp_result_df,\n",
" style=\"methods\", markers=True)\n",
"\n",
" p.set_xlabel(\"gain\")\n",
" p.set_ylabel(\"cost\")\n",
"\n",
" ax.title.set_text(dataset)\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "743c9205",
"metadata": {},
"outputs": [],
"source": [
"def plot_gain_over_cost(results, dataset):\n",
" methods = ['WeSAL', 'AL-RF', 'DualLoop']\n",
" labels = ['WeSAL', 'AL-RF', 'DualLoop']\n",
"\n",
" measurement_list = []\n",
" for exp in methods:\n",
" costMap = {}\n",
" experiment = results[exp]\n",
" previous_gain = 0\n",
" for iteration in experiment:\n",
" if iteration == 0:\n",
" continue\n",
"\n",
" m = experiment[iteration]\n",
"\n",
" gain = m['num_true_matches']\n",
" cost = m['human_effort']\n",
"\n",
" if gain == 0 and cost == 0:\n",
" continue\n",
"\n",
" if gain not in costMap:\n",
" for j in range(gain, previous_gain, -1):\n",
" measurement = {\n",
" 'methods': exp,\n",
" 'gain': j,\n",
" 'cost': cost\n",
" }\n",
"\n",
" measurement_list.append(measurement)\n",
"\n",
" costMap[gain] = cost\n",
"\n",
" previous_gain = gain\n",
"\n",
" exp_result_df = pd.DataFrame(measurement_list)\n",
"\n",
" fig, ax = plt.subplots(figsize=(6, 5))\n",
"\n",
" p = sns.lineplot(x='cost', y='gain', hue='methods', ax=ax, data=exp_result_df,\n",
" style=\"methods\", markers=True)\n",
"\n",
" p.set_xlabel(\"cost\")\n",
" p.set_ylabel(\"gain\")\n",
"\n",
" ax.title.set_text(dataset)\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "289b3d9b",
"metadata": {},
"outputs": [],
"source": [
"def plot_cost_over_recall(results, dataset):\n",
" methods = ['WeSAL', 'AL-RF', 'DualLoop']\n",
" labels = ['WeSAL', 'AL-RF', 'DualLoop']\n",
"\n",
" measurement_list = []\n",
" for exp in methods:\n",
" costMap = {}\n",
" experiment = results[exp]\n",
" previous_gain = 0\n",
" for iteration in experiment:\n",
" if iteration == 0:\n",
" continue\n",
"\n",
" m = experiment[iteration]\n",
"\n",
" recall = m['recall'] * 100.0\n",
" cost = m['human_effort']\n",
"\n",
" if recall < 40:\n",
" continue\n",
" \n",
" measurement = {\n",
" 'methods': exp,\n",
" 'recall': recall,\n",
" 'cost': cost\n",
" }\n",
" measurement_list.append(measurement)\n",
"\n",
" exp_result_df = pd.DataFrame(measurement_list)\n",
"\n",
" fig, ax = plt.subplots(figsize=(6, 5))\n",
"\n",
" p = sns.lineplot(x='recall', y='cost', hue='methods', ax=ax, data=exp_result_df,\n",
" style=\"methods\", markers=True)\n",
"\n",
" p.set_xlabel(\"recall\")\n",
" p.set_ylabel(\"cost\")\n",
"\n",
" ax.title.set_text(dataset)\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "342fa56e",
"metadata": {},
"outputs": [],
"source": [
"def plot_recall_over_cost(results, dataset):\n",
" methods = ['WeSAL', 'AL-RF', 'DualLoop']\n",
" labels = ['WeSAL', 'AL-RF', 'DualLoop']\n",
"\n",
" measurement_list = []\n",
" for exp in methods:\n",
" costMap = {}\n",
" experiment = results[exp]\n",
" previous_gain = 0\n",
" for iteration in experiment:\n",
" if iteration == 0:\n",
" continue\n",
"\n",
" m = experiment[iteration]\n",
"\n",
" recall = m['recall'] * 100.0\n",
" cost = m['human_effort']\n",
"\n",
" if cost > 2000:\n",
" continue\n",
" \n",
" measurement = {\n",
" 'methods': exp,\n",
" 'recall': recall,\n",
" 'cost': cost\n",
" }\n",
" measurement_list.append(measurement)\n",
"\n",
" exp_result_df = pd.DataFrame(measurement_list)\n",
"\n",
" fig, ax = plt.subplots(figsize=(6, 5))\n",
"\n",
" p = sns.lineplot(x='cost', y='recall', hue='methods', ax=ax, data=exp_result_df,\n",
" style=\"methods\", markers=True)\n",
"\n",
" p.set_xlabel(\"cost\")\n",
" p.set_ylabel(\"recall\")\n",
"\n",
" ax.title.set_text(dataset)\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "13016ba2",
"metadata": {},
"outputs": [],
"source": [
"def plot_cost_bar_over_recall(results, dataset):\n",
" methods = ['WeSAL', 'AL-RF', 'DualLoop']\n",
" labels = ['WeSAL', 'AL-RF', 'DualLoop']\n",
"\n",
" measurement_list = []\n",
" for exp in methods:\n",
" costMap = {}\n",
" experiment = results[exp]\n",
" previous_gain = 0\n",
" for iteration in experiment:\n",
" if iteration == 0:\n",
" continue\n",
"\n",
" m = experiment[iteration]\n",
"\n",
" recall = int(m['recall'] * 100.0)\n",
" cost = m['human_effort']\n",
"\n",
"# if recall < 30 or recall > 50:\n",
"# continue\n",
" \n",
" if recall%5 !=0:\n",
" continue\n",
" \n",
" measurement = {\n",
" 'methods': exp,\n",
" 'recall': recall,\n",
" 'cost': cost\n",
" }\n",
" measurement_list.append(measurement)\n",
"\n",
" exp_result_df = pd.DataFrame(measurement_list)\n",
"\n",
" fig, ax = plt.subplots(figsize=(6, 5)) \n",
" \n",
" p = sns.barplot(x='recall', y='cost', hue='methods', data=exp_result_df)\n",
"\n",
" p.set_xlabel(\"recall\")\n",
" p.set_ylabel(\"cost\")\n",
"\n",
" \n",
" ax.title.set_text(dataset)"
]
},
{
"cell_type": "code",
"execution_count": 30,
"id": "a1e0a7c2",
"metadata": {},
"outputs": [],
"source": [
"def plot_recall_bar_over_cost(results, dataset):\n",
" methods = ['WeSAL', 'AL-RF', 'DualLoop']\n",
" labels = ['WeSAL', 'AL-RF', 'DualLoop']\n",
"\n",
" measurement_list = []\n",
" for exp in methods:\n",
" costMap = {}\n",
" experiment = results[exp]\n",
" previous_gain = 0\n",
" for iteration in experiment:\n",
" if iteration == 0:\n",
" continue\n",
"\n",
" m = experiment[iteration]\n",
"\n",
" recall = int(m['recall'] * 100.0)\n",
" cost = m['human_effort']\n",
"\n",
" if cost > 2000:\n",
" continue\n",
" \n",
" \n",
" if cost%100 !=0:\n",
" continue\n",
" \n",
" measurement = {\n",
" 'methods': exp,\n",
" 'recall': recall,\n",
" 'cost': cost\n",
" }\n",
" measurement_list.append(measurement)\n",
"\n",
" exp_result_df = pd.DataFrame(measurement_list)\n",
"\n",
" fig, ax = plt.subplots(figsize=(6, 5)) \n",
" \n",
" p = sns.barplot(x='cost', y='recall', hue='methods', data=exp_result_df)\n",
"\n",
" p.set_xlabel(\"cost\")\n",
" p.set_ylabel(\"recall\")\n",
"\n",
" \n",
" ax.title.set_text(dataset)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "627ae8b4",
"metadata": {},
"outputs": [],
"source": [
"results = {}\n",
"methods = ['WeSAL', 'AL-RF', 'DualLoop']\n",
"dataset_name = 'nasa'\n",
"\n",
"for method_name in methods:\n",
" results[method_name] = pickle.load(open('../results/' + dataset_name + \"/result_\" + method_name + \"_\" + dataset_name + \".pk\", 'rb'))"
]
},
{
"cell_type": "code",
"execution_count": 34,
"id": "dfd3ed47",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'WeSAL': {0: {'tn': 7993,\n",
" 'fp': 6,\n",
" 'fn': 22,\n",
" 'tp': 10,\n",
" 'precision': 0.625,\n",
" 'recall': 0.3125,\n",
" 'f1': 0.4166666666666667,\n",
" 'a-tn': 0,\n",
" 'a-fp': 0,\n",
" 'a-fn': 0,\n",
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" 80: {'tn': 7993,\n",
" 'fp': 6,\n",
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" 'tp': 10,\n",
" 'precision': 0.625,\n",
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" 'a-tn': 80,\n",
" 'a-fp': 0,\n",
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" 880: {'tn': 7996,\n",
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" 960: {'tn': 7996,\n",
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" 2000: {'tn': 7999,\n",
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]
},
"execution_count": 34,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"results"
]
},
{
"cell_type": "code",
"execution_count": 40,
"id": "bb8d7a83",
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 432x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plot_f1_result(results, dataset_name)"
]
},
{
"cell_type": "code",
"execution_count": 33,
"id": "b01940f9",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plot_f1_result(results, dataset_name)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "8fe99ad9",
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plot_cost_over_gain(results, dataset_name)"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "c892adb0",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plot_gain_over_cost(results, dataset_name)"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "b2951798",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plot_cost_over_recall(results, dataset_name)"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "82637bba",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plot_recall_over_cost(results, dataset_name)"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "7bb36c92",
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plot_cost_bar_over_recall(results, dataset_name)"
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "82d4cddc",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"\n",
"plot_recall_bar_over_cost(results, dataset_name)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "479126b3",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.8"
}
},
"nbformat": 4,
"nbformat_minor": 5
}