{
"cells": [
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"import gc"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Weighted_accuracy = tool_accuracy * volume_factor\n",
"Volume_factor = tool_requests / all_tools_requests\n"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" tool | \n",
" tool_accuracy | \n",
" total_requests | \n",
" min | \n",
" max | \n",
"
\n",
" \n",
" \n",
" \n",
" 0 | \n",
" claude-prediction-offline | \n",
" 64.444444 | \n",
" 90 | \n",
" 2024-05-17 23:23:05 | \n",
" 2024-06-22 04:20:40 | \n",
"
\n",
" \n",
" 1 | \n",
" claude-prediction-online | \n",
" 73.563218 | \n",
" 261 | \n",
" 2024-05-17 10:43:45 | \n",
" 2024-07-10 01:29:35 | \n",
"
\n",
" \n",
" 2 | \n",
" prediction-offline | \n",
" 76.223582 | \n",
" 3596 | \n",
" 2024-05-17 10:32:50 | \n",
" 2024-07-14 23:08:20 | \n",
"
\n",
" \n",
" 3 | \n",
" prediction-offline-sme | \n",
" 79.220779 | \n",
" 77 | \n",
" 2024-06-17 20:03:35 | \n",
" 2024-06-21 15:04:40 | \n",
"
\n",
" \n",
" 4 | \n",
" prediction-online | \n",
" 73.796204 | \n",
" 10010 | \n",
" 2024-05-17 09:50:15 | \n",
" 2024-07-14 13:55:50 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" tool tool_accuracy total_requests \\\n",
"0 claude-prediction-offline 64.444444 90 \n",
"1 claude-prediction-online 73.563218 261 \n",
"2 prediction-offline 76.223582 3596 \n",
"3 prediction-offline-sme 79.220779 77 \n",
"4 prediction-online 73.796204 10010 \n",
"\n",
" min max \n",
"0 2024-05-17 23:23:05 2024-06-22 04:20:40 \n",
"1 2024-05-17 10:43:45 2024-07-10 01:29:35 \n",
"2 2024-05-17 10:32:50 2024-07-14 23:08:20 \n",
"3 2024-06-17 20:03:35 2024-06-21 15:04:40 \n",
"4 2024-05-17 09:50:15 2024-07-14 13:55:50 "
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# read accuracy csv file\n",
"tools_accuracy_info = pd.read_csv(\"../data/tools_accuracy.csv\")\n",
"tools_accuracy_info.head()"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"49879"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"global_requests = tools_accuracy_info.total_requests.sum()\n",
"global_requests"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"57603"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"global_requests = tools_accuracy_info.total_requests.sum()\n",
"global_requests"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"def get_weighted_accuracy(row, global_requests: int):\n",
" '''Function to compute the weighted accuracy of a tool'''\n",
" return (row[\"tool_accuracy\"]/100.0) * (row[\"total_requests\"]/global_requests)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" tool | \n",
" tool_accuracy | \n",
" total_requests | \n",
" min | \n",
" max | \n",
" weighted_accuracy | \n",
"
\n",
" \n",
" \n",
" \n",
" 0 | \n",
" claude-prediction-offline | \n",
" 64.444444 | \n",
" 90 | \n",
" 2024-05-17 23:23:05 | \n",
" 2024-06-22 04:20:40 | \n",
" 0.001163 | \n",
"
\n",
" \n",
" 1 | \n",
" claude-prediction-online | \n",
" 73.563218 | \n",
" 261 | \n",
" 2024-05-17 10:43:45 | \n",
" 2024-07-10 01:29:35 | \n",
" 0.003849 | \n",
"
\n",
" \n",
" 2 | \n",
" prediction-offline | \n",
" 76.223582 | \n",
" 3596 | \n",
" 2024-05-17 10:32:50 | \n",
" 2024-07-14 23:08:20 | \n",
" 0.054953 | \n",
"
\n",
" \n",
" 3 | \n",
" prediction-offline-sme | \n",
" 79.220779 | \n",
" 77 | \n",
" 2024-06-17 20:03:35 | \n",
" 2024-06-21 15:04:40 | \n",
" 0.001223 | \n",
"
\n",
" \n",
" 4 | \n",
" prediction-online | \n",
" 73.796204 | \n",
" 10010 | \n",
" 2024-05-17 09:50:15 | \n",
" 2024-07-14 13:55:50 | \n",
" 0.148098 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" tool tool_accuracy total_requests \\\n",
"0 claude-prediction-offline 64.444444 90 \n",
"1 claude-prediction-online 73.563218 261 \n",
"2 prediction-offline 76.223582 3596 \n",
"3 prediction-offline-sme 79.220779 77 \n",
"4 prediction-online 73.796204 10010 \n",
"\n",
" min max weighted_accuracy \n",
"0 2024-05-17 23:23:05 2024-06-22 04:20:40 0.001163 \n",
"1 2024-05-17 10:43:45 2024-07-10 01:29:35 0.003849 \n",
"2 2024-05-17 10:32:50 2024-07-14 23:08:20 0.054953 \n",
"3 2024-06-17 20:03:35 2024-06-21 15:04:40 0.001223 \n",
"4 2024-05-17 09:50:15 2024-07-14 13:55:50 0.148098 "
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tools_accuracy_info[\"weighted_accuracy\"] = tools_accuracy_info.apply(lambda x: get_weighted_accuracy(x, global_requests), axis=1)\n",
"tools_accuracy_info.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Painting the ranking"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
"tools_accuracy_info = tools_accuracy_info.sort_values(by='weighted_accuracy', ascending=False)"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"count 11.000000\n",
"mean 0.067872\n",
"std 0.094804\n",
"min 0.001163\n",
"25% 0.004351\n",
"50% 0.019086\n",
"75% 0.101526\n",
"max 0.281020\n",
"Name: weighted_accuracy, dtype: float64"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tools_accuracy_info.weighted_accuracy.describe()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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",
"text/plain": [
"