131 lines
3.1 KiB
Plaintext
131 lines
3.1 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "59868c88",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"--2023-03-25 11:54:34-- https://archive.ics.uci.edu/ml/machine-learning-databases/car/car.data\n",
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"Resolving archive.ics.uci.edu (archive.ics.uci.edu)... 128.195.10.252\n",
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"Connecting to archive.ics.uci.edu (archive.ics.uci.edu)|128.195.10.252|:443... connected.\n",
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"HTTP request sent, awaiting response... 206 Partial Content\n",
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"Length: 51867 (51K), 1 remaining [application/x-httpd-php]\n",
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"Saving to: ‘car.data’\n",
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"\n",
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"car.data 100%[+++++++++++++++++++>] 50,65K --.-KB/s in 0s \n",
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"\n",
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"2023-03-25 11:54:35 (16,8 KB/s) - ‘car.data’ saved [51867/51867]\n",
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"\n"
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]
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}
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],
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"source": [
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"!wget -c https://archive.ics.uci.edu/ml/machine-learning-databases/car/car.data"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "776bf1e2",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"1728 car.data\r\n"
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]
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}
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],
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"source": [
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"!wc -l car.data"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "a56dee9c",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"vhigh,vhigh,2,2,small,low,unacc\n",
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"vhigh,vhigh,2,2,small,med,unacc\n",
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"vhigh,vhigh,2,2,small,high,unacc\n",
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"vhigh,vhigh,2,2,med,low,unacc\n",
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"vhigh,vhigh,2,2,med,med,unacc\n",
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"vhigh,vhigh,2,2,med,high,unacc\n",
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" 576 high\n",
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" 576 low\n",
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" 576 med\n"
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]
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}
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],
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"source": [
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"!head -n 6 car.data\n",
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"!cut -f 6 -d \",\" car.data | sort | uniq -c"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"id": "54a43eaa",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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" 192 high\n",
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" 193 low\n",
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" 192 med\n",
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" 96 high\n",
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" 96 low\n",
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" 96 med\n",
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" 96 high\n",
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" 96 low\n",
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" 96 med\n"
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]
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}
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],
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"source": [
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"!head -n 288 car.data > car.data.test\n",
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"!head -n 576 car.data | tail -n 288 > car.data.dev\n",
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"!head -n +577 car.data > car.data.train\n",
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"#sprawdzanie podziału ze względu na bezpieczeństwo samochodu\n",
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"!cut -f 6 -d \",\" car.data.train | sort | uniq -c\n",
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"!cut -f 6 -d \",\" car.data.test | sort | uniq -c\n",
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"!cut -f 6 -d \",\" car.data.dev | sort | uniq -c"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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