{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"# 6장 자전거 대여 수요 예측 경진대회 환경 세팅된 노트북 양식","metadata":{"papermill":{"duration":0.026639,"end_time":"2021-08-16T04:01:01.662249","exception":false,"start_time":"2021-08-16T04:01:01.63561","status":"completed"},"tags":[]}},{"cell_type":"markdown","source":"**<미션> 피처들을 활용하여 시간별 자전거 대여 수량 예측하기**\n- 피처: 대여 날짜, 시간, 요일, 계절, 날씨, 온도 -> 독립 변수\n- 타깃값: 대여 수량 -> 종속 변수","metadata":{}},{"cell_type":"markdown","source":"## 6.3.2 데이터 둘러보기","metadata":{}},{"cell_type":"code","source":"import numpy as np\nimport pandas as pd\ndata_path ='/kaggle/input/bike-sharing-demand/'\n\ntrain = pd.read_csv(data_path + 'train.csv')\ntest = pd.read_csv(data_path + 'test.csv')\nsubmission = pd.read_csv(data_path +'sampleSubmission.csv')","metadata":{"execution":{"iopub.status.busy":"2022-07-22T12:54:12.565614Z","iopub.execute_input":"2022-07-22T12:54:12.566364Z","iopub.status.idle":"2022-07-22T12:54:12.619579Z","shell.execute_reply.started":"2022-07-22T12:54:12.566333Z","shell.execute_reply":"2022-07-22T12:54:12.618610Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## 판다스(pandas)\n판다스를 사용하는 목적은 서로 다른 여러 가지 유형의 데이터를 **공통의 포맷**으로 정리하는 것으로, 여러 유형의 데이터를 공통의 포맷으로 만들기 위해 **시리즈**(1차원벡터)와 **데이터프레임**(2차원벡터, 행렬)이라는 구조화된 데이터 형식을 제공한다.\n\n쉽게 말하면 우리는 데이터정리를 위해 엑셀(Microsoft Excel)에 작성하는 것과 같이, python의 판다스로 자료정리를 하고 있다고 보면된다. </br> 파이썬의 리스트나 딕셔너리로 된 것을 엑셀과 같이 표 형식으로 만드는 것이 **데이터프레임**으로 변환하는 것이다. (시리즈는 잘 안씀)\n\n출처: https://han-py.tistory.com/311","metadata":{}},{"cell_type":"code","source":"# shape() : 배열의 형태를 알려주는 함수. 몇 행 몇 열인지 튜플 형태로 반환\ntrain.shape,test.shape","metadata":{"execution":{"iopub.status.busy":"2022-07-22T12:54:12.714347Z","iopub.execute_input":"2022-07-22T12:54:12.714650Z","iopub.status.idle":"2022-07-22T12:54:12.721337Z","shell.execute_reply.started":"2022-07-22T12:54:12.714619Z","shell.execute_reply":"2022-07-22T12:54:12.720373Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# head(): 전체 데이터 프레임에서 상위 5개의 행을 출력\ntrain.head()","metadata":{"execution":{"iopub.status.busy":"2022-07-22T12:54:12.885009Z","iopub.execute_input":"2022-07-22T12:54:12.885345Z","iopub.status.idle":"2022-07-22T12:54:12.902070Z","shell.execute_reply.started":"2022-07-22T12:54:12.885312Z","shell.execute_reply":"2022-07-22T12:54:12.901396Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test.head()\n# 훈련 데이터의 피처에서 casual(비회원수)과 registered(회원수)가 빠짐","metadata":{"execution":{"iopub.status.busy":"2022-07-22T12:54:13.004186Z","iopub.execute_input":"2022-07-22T12:54:13.004641Z","iopub.status.idle":"2022-07-22T12:54:13.019477Z","shell.execute_reply.started":"2022-07-22T12:54:13.004611Z","shell.execute_reply":"2022-07-22T12:54:13.018760Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"- 훈련(train)데이터를 활용해 모델을 훈련한 뒤, 테스트(test) 데이터를 활용해 대여 수량(count)를 예측\n- 따라서, 훈련 데이터의 casual과registered 피처를 빼야함","metadata":{}},{"cell_type":"code","source":"submission.head()\n# 현재는 타깃값인 count가 모두 0\n# 시간대별 대여 수량을 예측해 이 값을 바꾼 뒤 제출하면 됨. ","metadata":{"execution":{"iopub.status.busy":"2022-07-22T12:54:13.126068Z","iopub.execute_input":"2022-07-22T12:54:13.126659Z","iopub.status.idle":"2022-07-22T12:54:13.136737Z","shell.execute_reply.started":"2022-07-22T12:54:13.126623Z","shell.execute_reply":"2022-07-22T12:54:13.135673Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# info(): 데이터프레임 각 열의 결측값이 몇 개인지, 데이터 타입은 무엇인지 파악할 수 있음\ntrain.info()","metadata":{"execution":{"iopub.status.busy":"2022-07-22T12:54:13.222433Z","iopub.execute_input":"2022-07-22T12:54:13.223190Z","iopub.status.idle":"2022-07-22T12:54:13.238555Z","shell.execute_reply.started":"2022-07-22T12:54:13.223140Z","shell.execute_reply":"2022-07-22T12:54:13.237547Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test.info()","metadata":{"execution":{"iopub.status.busy":"2022-07-22T12:54:13.334435Z","iopub.execute_input":"2022-07-22T12:54:13.334956Z","iopub.status.idle":"2022-07-22T12:54:13.349493Z","shell.execute_reply.started":"2022-07-22T12:54:13.334908Z","shell.execute_reply":"2022-07-22T12:54:13.348733Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## 6.3.3 더 효과적인 분석을 위한 피처 엔지니어링\n- 일부 데이터는 시각화하기에 적합하지 않은 형태일 수 있음. \n- datetime 피처의 데이터 타입은 object (문자열 타입)\n- datetime은 연도, 월, 일, 시간, 분, 초로 구성되어 있음. 따라서 세부적으로 분석해보기 위해 구성요소별로 나누자!","metadata":{}},{"cell_type":"code","source":"print(train['datetime'][100]) #datetime 100번째 원소\nprint(train['datetime'][100].split()) #공백 기준으로 문자열 나누기\nprint(train['datetime'][100].split()[0]) #날짜\nprint(train['datetime'][100].split()[1]) #시간","metadata":{"execution":{"iopub.status.busy":"2022-07-22T12:54:13.616617Z","iopub.execute_input":"2022-07-22T12:54:13.617102Z","iopub.status.idle":"2022-07-22T12:54:13.623757Z","shell.execute_reply.started":"2022-07-22T12:54:13.617072Z","shell.execute_reply":"2022-07-22T12:54:13.622815Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print(train['datetime'][100].split()[0]) #날짜\nprint(train['datetime'][100].split()[0].split('-')) #'-' 기준으로 문자열 나누기\nprint(train['datetime'][100].split()[0].split('-')[0]) #연도\nprint(train['datetime'][100].split()[0].split('-')[1]) #월\nprint(train['datetime'][100].split()[0].split('-')[2]) #일","metadata":{"execution":{"iopub.status.busy":"2022-07-22T12:54:13.712451Z","iopub.execute_input":"2022-07-22T12:54:13.713036Z","iopub.status.idle":"2022-07-22T12:54:13.722025Z","shell.execute_reply.started":"2022-07-22T12:54:13.713003Z","shell.execute_reply":"2022-07-22T12:54:13.721027Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print(train['datetime'][100].split()[1]) #시간\nprint(train['datetime'][100].split()[1].split(':')) #':' 기준으로 문자열 나누기\nprint(train['datetime'][100].split()[1].split(':')[0]) #시간\nprint(train['datetime'][100].split()[1].split(':')[1]) #분\nprint(train['datetime'][100].split()[1].split(':')[2]) #초","metadata":{"execution":{"iopub.status.busy":"2022-07-22T12:54:13.851125Z","iopub.execute_input":"2022-07-22T12:54:13.851426Z","iopub.status.idle":"2022-07-22T12:54:13.860179Z","shell.execute_reply.started":"2022-07-22T12:54:13.851396Z","shell.execute_reply":"2022-07-22T12:54:13.859508Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### apply() 함수\n- 행 또는 열 또는 전체의 셀(=원소)에 원하는 연산을 지원하는 함수\n- 보통 데이터를 추출하는 과정에서는 DataFrame 내의 값을 합치거나 가공을 하는 과정을(치환) 거치는 경우가 종종있는데. 이 경우를 도와주는 함수\n- apply()함수에 'axis='라는 속성을 부여할 경우 치환되는 결과를 설정할 수 있으며, 속성이 따로 없을 경우 '열'단위. (0이라는 숫자로 지정도 가능)</br>'axis=1'이라는 속성을 부여할 경우 행 단위로 결과를 출력\n\n> **데이터프레임명['새 컬럼명'] = 데이터프레임명['적용할 컬럼명].apply(lambda x : 기능 서술)**","metadata":{}},{"cell_type":"code","source":"train['date']= train['datetime'].apply(lambda x:x.split()[0]) #날짜(date) 피처 생성 \nprint(train['date'])","metadata":{"execution":{"iopub.status.busy":"2022-07-22T12:54:13.987513Z","iopub.execute_input":"2022-07-22T12:54:13.987820Z","iopub.status.idle":"2022-07-22T12:54:14.001479Z","shell.execute_reply.started":"2022-07-22T12:54:13.987790Z","shell.execute_reply":"2022-07-22T12:54:14.000384Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### 람다 함수\nlambda 함수의 구조 ->  (lambda 매개변수: 표현식)\n- DataFrame이나 Series에서 lambda 함수를 쓰는데 매개변수 x가 무엇일까?DataFrame 에서는 column 이고, Series에서는 value다.\n- 달리말해, 데이터프레임 df에 apply 함수를 이용해서 lambda 함수를 실행하면 내부적으로 첫번째 컬럼을 Series로 변환하여 x에 할당하고 표현식에 따라 반환하고,두번째 컬럼과 세번째 컬럼을 동일한 방법으로 반복(for loop)한 것.\n\n[출처] https://amatoroi.tistory.com/8\n","metadata":{}},{"cell_type":"code","source":"#연도, 월, 일, 시, 분, 초 피처를 차례로 생성\ntrain['year']= train['datetime'].apply(lambda x:x.split()[0].split('-')[0])\ntrain['month']= train['datetime'].apply(lambda x:x.split()[0].split('-')[1])\ntrain['day']= train['datetime'].apply(lambda x:x.split()[0].split('-')[2])\ntrain['hour']= train['datetime'].apply(lambda x:x.split()[1].split(':')[0])\ntrain['minute']= train['datetime'].apply(lambda x:x.split()[1].split(':')[1])\ntrain['second']= train['datetime'].apply(lambda x:x.split()[1].split(':')[2])","metadata":{"execution":{"iopub.status.busy":"2022-07-22T12:54:14.101462Z","iopub.execute_input":"2022-07-22T12:54:14.101747Z","iopub.status.idle":"2022-07-22T12:54:14.169678Z","shell.execute_reply.started":"2022-07-22T12:54:14.101717Z","shell.execute_reply":"2022-07-22T12:54:14.168765Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# 요일 피처 생성하기\nfrom datetime import datetime #datetime 라이브러리 임포트\nimport calendar\n\nprint(train['date'][100])\nprint(datetime.strptime(train['date'][100],'%Y-%m-%d')) #datetime 타입으로 변경\nprint(datetime.strptime(train['date'][100],'%Y-%m-%d').weekday()) #정수로 요일 반환\nprint(calendar.day_name[datetime.strptime(train['date'][100],'%Y-%m-%d').weekday()]) #문자열로 요일 반환","metadata":{"execution":{"iopub.status.busy":"2022-07-22T12:54:14.244365Z","iopub.execute_input":"2022-07-22T12:54:14.244914Z","iopub.status.idle":"2022-07-22T12:54:14.253449Z","shell.execute_reply.started":"2022-07-22T12:54:14.244881Z","shell.execute_reply":"2022-07-22T12:54:14.252382Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### datetime : 날짜와 시간 관련 라이브러리\ndatetime 패키지에서는 날짜와 시간을 함께 저장하는 datetime 클래스, 날짜만 저장하는 date 클래스, 시간만 저장하는 time 클래스, 시간 구간 정보를 저장하는 timedelta 클래스 등을 제공한다.\n\n**datetime 클래스** </br>\ndatetime 클래스에는 객체를 생성하지 않고도 바로 클래스에서 사용할 수 있는 클래스 메서드라는 것을 제공한다. \n\n1. datetime 클래스 객체가 갖는 속성\n- year: 연도\n- month: 월\n- day: 일\n- hour: 시\n- minute: 분\n- second: 초\n- microsecond: 마이크로초(micro seconds, 백만분의 일초)\n\n2. datetime 클래스 객체가 갖는 메서드 종류\n- now() : 현재 시간 출력 \n- date(): 날짜 정보만 가지는 date 클래스 객체 반환\n- time(): 시간 정보만 가지는 time 클래스 객체 반환\n- weekday(): 요일 반환 (0:월, 1:화, 2:수, 3:목, 4:금, 5:토, 6:일)\n- strftime(): 날짜와 시간 정보를 문자열로 바꿔줌. 어떤 형식으로 문자열을 만들지 결정하는 형식 문자열을 인수로 받는다. 형식 문자열은 날짜 및 시간 지정 문자열을 포함한다. \n- strptime(): 문자열로부터 날짜와 시간 정보를 읽어서 datetime 클래스 객체를 만들기. 첫 번째 인수로는 날짜와 시간 정보를 가진 문자열을, 두번째 인수로는 그 문자열을 해독할 수 있는 형식 문자열을 넣는다.","metadata":{}},{"cell_type":"markdown","source":"### calender: 달력 관련 라이브러리\n\n- weekday(year,month,day) : 해당 날짜의 요일을 return\n- calendar(year) : 해당 연도의 달력을 return\n- day_name :  요일 정보를 return","metadata":{}},{"cell_type":"markdown","source":"*주의: 머신러닝 모델은 숫자만 인식하므로 모델을 훈련할 때는 피처 값을 문자로 바꾸면 안 됩니다. ","metadata":{}},{"cell_type":"code","source":"train['weekday'] = train['date'].apply(lambda dateString: calendar.day_name[datetime.strptime(dateString,'%Y-%m-%d').weekday()])\nprint(train['weekday'])","metadata":{"execution":{"iopub.status.busy":"2022-07-22T12:54:14.343697Z","iopub.execute_input":"2022-07-22T12:54:14.343984Z","iopub.status.idle":"2022-07-22T12:54:14.561864Z","shell.execute_reply.started":"2022-07-22T12:54:14.343955Z","shell.execute_reply":"2022-07-22T12:54:14.560702Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# 알아보기 쉽게 숫자를 문자열로 바꾸기\ntrain['season'] = train['season'].map({1:'Spring',2:'Summer',3:'Fall',4:'Winter'})\ntrain['weather'] = train['weather'].map({1:'Clear',2:'Mist,Few clouds',3:'Light Snow, Rain, Thunderstorm',4:'Heavy Rain, Thunderstorm, Snow, Fog'})","metadata":{"execution":{"iopub.status.busy":"2022-07-22T12:54:14.565661Z","iopub.execute_input":"2022-07-22T12:54:14.565905Z","iopub.status.idle":"2022-07-22T12:54:14.577964Z","shell.execute_reply.started":"2022-07-22T12:54:14.565876Z","shell.execute_reply":"2022-07-22T12:54:14.576610Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### map()함수\n첫 번째 매개변수로는 함수가 오고, 두 번째 매개변수로는 반복 가능한 자료형(리스트, 튜플 등)이 옵니다.\n>map(function, iterable)\n\n","metadata":{}},{"cell_type":"code","source":"train.head()","metadata":{"execution":{"iopub.status.busy":"2022-07-22T12:54:14.579633Z","iopub.execute_input":"2022-07-22T12:54:14.580074Z","iopub.status.idle":"2022-07-22T12:54:14.608703Z","shell.execute_reply.started":"2022-07-22T12:54:14.580029Z","shell.execute_reply":"2022-07-22T12:54:14.607558Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"<분석 결과>\n1. date 피처가 제공하는 정보와 year,month,day와 겹침 -> date 피처 제거 \n2. month 피처를 세 달씩 묶으면 season 피처와 의미가 같음 -> month 피처 제거 ","metadata":{}},{"cell_type":"markdown","source":"## 6.3.4 데이터 시각화 ","metadata":{}},{"cell_type":"code","source":"import seaborn as sns\nimport matplotlib as mpl\nimport matplotlib.pyplot as plt\n%matplotlib inline ","metadata":{"execution":{"iopub.status.busy":"2022-07-22T12:54:14.622169Z","iopub.execute_input":"2022-07-22T12:54:14.622638Z","iopub.status.idle":"2022-07-22T12:54:14.628769Z","shell.execute_reply.started":"2022-07-22T12:54:14.622608Z","shell.execute_reply":"2022-07-22T12:54:14.627787Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#분포도: 수치형 데이터의 집계 값을 나타내는 그래프\nmpl.rc('font',size=15) #폰트 크기를 15로 설정\nsns.displot(train['count']) #분포도 출력","metadata":{"execution":{"iopub.status.busy":"2022-07-22T12:54:14.707083Z","iopub.execute_input":"2022-07-22T12:54:14.707549Z","iopub.status.idle":"2022-07-22T12:54:15.214902Z","shell.execute_reply.started":"2022-07-22T12:54:14.707520Z","shell.execute_reply":"2022-07-22T12:54:15.214161Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"- 회귀 모델이 좋은 성능을 내려면 데이터가 정규분포를 따라야 함. \n- 데이터분포를 정규분포에 가깝게 만들기 위해 가장 많이 사용하는 방법은 로그변환\n- 로그변환은 count 분포와 같이 데이터가 왼쪽으로 편향되어 있을 때 사용","metadata":{}},{"cell_type":"code","source":"sns.displot(np.log(train['count']))","metadata":{"execution":{"iopub.status.busy":"2022-07-22T12:54:15.216662Z","iopub.execute_input":"2022-07-22T12:54:15.216892Z","iopub.status.idle":"2022-07-22T12:54:15.716399Z","shell.execute_reply.started":"2022-07-22T12:54:15.216864Z","shell.execute_reply":"2022-07-22T12:54:15.715301Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### <로그변환의 이유>\n로그 함수의 특징은 다음과 같습니다.\n\n1) 0<x<1 범위에서는 기울기가 매우 가파릅니다.\n즉, x의 구간은 (0,1)로 매우 짧은 반면, y의 구간은 (−∞,0)으로 매우 큽니다.\n\n따라서 0에 가깝게 모여있는 값들이 x로 입력되면, 그 함수값인 y 값들은 매우 큰 범위로 벌어지게 됩니다.\n즉, 로그함수는 0에 가까운 값들이 조밀하게 모여있는 입력값을 넓은 범위로 펼칠 수 있는 특징을 가집니다.\n\n2) 반면, x값이 점점 커짐에 따라 로그함수의 기울기는 급격히 작아집니다.\n이는 곧 큰 x값들에 대해서는 y값이 크게 차이나지 않게 된다는 뜻이고 이에 따라서 넓은 범위를 가지는 x를 비교적 작은 y값의 구간 내에 모이게 하는 특징을 가집니다.\n\n그렇기에 결과적으로 데이터의 분포를 모았을 때 밀집되어 있는 부분은 퍼지게\n퍼져있는 부분은 모아지게 만들 수 있는 것입니다.\n\n위와 같은 특성 때문에 한 쪽으로 몰려있는 분포에 로그 변환을 취하게 되면 넓게 퍼질 수 있는 것이죠.\n\n","metadata":{}},{"cell_type":"code","source":"sns.displot(np.log1p(train['count']))","metadata":{"execution":{"iopub.status.busy":"2022-07-22T12:54:15.718634Z","iopub.execute_input":"2022-07-22T12:54:15.719181Z","iopub.status.idle":"2022-07-22T12:54:16.346107Z","shell.execute_reply.started":"2022-07-22T12:54:15.719131Z","shell.execute_reply":"2022-07-22T12:54:16.345252Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### 막대그래프","metadata":{}},{"cell_type":"code","source":"# 스텝1: m행 n열 Figure 준비하기\nmpl.rc('font',size = 14) #폰트 크기 설정\nmpl.rc('axes',titlesize=15) #각 축의 제목 크기 설정\nfigure, axes = plt.subplots(nrows=3,ncols=2) #3행 2열 Figure 생성\nplt.tight_layout() #그래프 사이에 여백 확보\nfigure.set_size_inches(10,9) #전체 Figure 크기를 10*9인치로 설정\n\n# 스텝 2: 각 축에 서브플롯 할당\nsns.barplot(x='year',y='count',data=train,ax=axes[0,0])\nsns.barplot(x='month',y='count',data=train,ax=axes[0,1])\nsns.barplot(x='day',y='count',data=train,ax=axes[1,0])\nsns.barplot(x='hour',y='count',data=train,ax=axes[1,1])\nsns.barplot(x='minute',y='count',data=train,ax=axes[2,0])\nsns.barplot(x='second',y='count',data=train,ax=axes[2,1])\n\n# 스텝 3: 세부 설정\naxes[0,0].set(title='Rental amounts by year')\naxes[0,1].set(title='Rental amounts by month')\naxes[1,0].set(title='Rental amounts by day')\naxes[1,1].set(title='Rental amounts by hour')\naxes[2,0].set(title='Rental amounts by minute')\naxes[2,1].set(title='Rental amounts by second')\n\n# 1행에 위치한 서브플롯들의 x축 라벨 90도 회전\naxes[1,0].tick_params(axis='x',labelrotation=90)\naxes[1,1].tick_params(axis='x',labelrotation=90)","metadata":{"execution":{"iopub.status.busy":"2022-07-22T12:54:16.348009Z","iopub.execute_input":"2022-07-22T12:54:16.348323Z","iopub.status.idle":"2022-07-22T12:54:20.740528Z","shell.execute_reply.started":"2022-07-22T12:54:16.348293Z","shell.execute_reply":"2022-07-22T12:54:20.739521Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### 박스플롯","metadata":{}},{"cell_type":"code","source":"#스탭1: m행 n열 figure 준비\nfigure,axes = plt.subplots(nrows=2,ncols=2)\nplt.tight_layout()\nfigure.set_size_inches(10,10)\n\n#스탭2: 서브플롯 할당\n#계절, 날씨, 공휴일, 근무일별 대여 수량 박스플롯\nsns.boxplot(x='season',y='count',data=train,ax=axes[0,0])\nsns.boxplot(x='weather',y='count',data=train,ax=axes[0,1])\nsns.boxplot(x='holiday',y='count',data=train,ax=axes[1,0])\nsns.boxplot(x='workingday',y='count',data=train,ax=axes[1,1])\n\n#스탭3: 세부 설정\n#3-1: 서브플롯에 제목 달기\naxes[0,0].set(title='Box Plot On Count Across Season')\naxes[0,1].set(title='Box Plot On Count Across Weather')\naxes[1,0].set(title='Box Plot On Count Across Holiday')\naxes[1,1].set(title='Box Plot On Count Across Working Day')\n\n#3-2: x축 라벨 겹침 해결\naxes[0,1].tick_params(axis='x',labelrotation=10) #10도 회전","metadata":{"execution":{"iopub.status.busy":"2022-07-22T12:54:20.742488Z","iopub.execute_input":"2022-07-22T12:54:20.742842Z","iopub.status.idle":"2022-07-22T12:54:21.696264Z","shell.execute_reply.started":"2022-07-22T12:54:20.742798Z","shell.execute_reply":"2022-07-22T12:54:21.695128Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### 포인트플롯\n범주형 데이터에 따른 수치형 데이터의 평균과 신뢰구간을 점과 선으로 표시합니다. ","metadata":{}},{"cell_type":"code","source":"# 스텝1: m행 n열 figure 준비\nmpl.rc('font',size=11)\nfigure, axes = plt.subplots(nrows=5)\nfigure.set_size_inches(12,18)\n\n# 스텝2: 서브플롯 할당\n# 근무일, 공휴일, 요일, 계절, 날씨에 따른 시간대별 평균 대여 수량 포인트플롯\nsns.pointplot(x='hour',y='count',data=train,hue='workingday',ax=axes[0])\nsns.pointplot(x='hour',y='count',data=train,hue='holiday',ax=axes[1])\nsns.pointplot(x='hour',y='count',data=train,hue='weekday',ax=axes[2])\nsns.pointplot(x='hour',y='count',data=train,hue='season',ax=axes[3])\nsns.pointplot(x='hour',y='count',data=train,hue='weather',ax=axes[4])","metadata":{"execution":{"iopub.status.busy":"2022-07-22T12:54:21.698151Z","iopub.execute_input":"2022-07-22T12:54:21.698512Z","iopub.status.idle":"2022-07-22T12:54:42.926546Z","shell.execute_reply.started":"2022-07-22T12:54:21.698469Z","shell.execute_reply":"2022-07-22T12:54:42.925631Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"-> 이상치 제거 필요 (weahter = 4)","metadata":{}},{"cell_type":"markdown","source":"### 회귀선을 포함한 산점도 그래프\n수치형 데이터 간 상관관계를 파악하는데 사용","metadata":{}},{"cell_type":"code","source":"# 스텝1: m행 n열 figure 준비\nmpl.rc('font',size=15)\nfigure, axes = plt.subplots(nrows=2,ncols=2)\nfigure.set_size_inches(7,6)\n\n# 스텝2: 서브플롯 할당\n# 온도, 체감 온도, 풍속, 습도 별 대여 수량 산점도 그래프\nsns.regplot(x='temp',y='count',data=train,ax=axes[0,0],scatter_kws={'alpha':0.2},line_kws={'color':'blue'}) # 투명도 20%, 회귀선 색상 blue\nsns.regplot(x='atemp',y='count',data=train,ax=axes[0,1],scatter_kws={'alpha':0.2},line_kws={'color':'blue'})\nsns.regplot(x='windspeed',y='count',data=train,ax=axes[1,0],scatter_kws={'alpha':0.2},line_kws={'color':'blue'})\nsns.regplot(x='humidity',y='count',data=train,ax=axes[1,1],scatter_kws={'alpha':0.2},line_kws={'color':'blue'})\n","metadata":{"execution":{"iopub.status.busy":"2022-07-22T12:54:42.928064Z","iopub.execute_input":"2022-07-22T12:54:42.928321Z","iopub.status.idle":"2022-07-22T12:54:46.279391Z","shell.execute_reply.started":"2022-07-22T12:54:42.928292Z","shell.execute_reply":"2022-07-22T12:54:46.278571Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"1) 온도와 체감 온도가 높을 수록 대여 수량이 많다. </br>\n2) 습도가 낮을 수록 대여가 많다. \n-> 대여 수량은 추울 때보다 따듯할 때 많고, 습할 때보다 습하지 않을 때 많다. \n\n3) 풍속이 셀수록 대여 수량이 많음 (오류) -> windspeed 피처에 결측값이 많기 때문  </br>\n-> 결측값이 많은 데이터는 상관관계를 파악하기 힘듦. 결측값을 다른 값으로 대체하거나 windspeed 피처 자체를 삭제하자","metadata":{}},{"cell_type":"markdown","source":"### 히트맵\n데이터 간 관계를 색상으로 표현하여, 여러 데이터를 한눈에 비교하기 좋다. ","metadata":{}},{"cell_type":"code","source":"# 수치형 데이터 간 상관관계 매트릭스\ntrain[['temp','atemp','humidity','windspeed','count']].corr()","metadata":{"execution":{"iopub.status.busy":"2022-07-22T12:54:46.280732Z","iopub.execute_input":"2022-07-22T12:54:46.280961Z","iopub.status.idle":"2022-07-22T12:54:46.300792Z","shell.execute_reply.started":"2022-07-22T12:54:46.280933Z","shell.execute_reply":"2022-07-22T12:54:46.300126Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# 피처 간 상관관계 매트릭스\ncorrMat = train[['temp','atemp','humidity','windspeed','count']].corr()\nfig,ax=plt.subplots() # fig, ax = plt.subplots() : 하나의 ax 만을 가지는 하나의 figure 생성\nfig.set_size_inches(10,10)\nsns.heatmap(corrMat,annot=True) #상관관계 히트맵 그리기, 상관계수 숫자로 표시\nax.set(title='Heatmap of Numerical Data')","metadata":{"execution":{"iopub.status.busy":"2022-07-22T12:54:46.301876Z","iopub.execute_input":"2022-07-22T12:54:46.302571Z","iopub.status.idle":"2022-07-22T12:54:46.742505Z","shell.execute_reply.started":"2022-07-22T12:54:46.302538Z","shell.execute_reply":"2022-07-22T12:54:46.741519Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"- 온도와 대여 수량 간의 상관계수 0.39 -> 양의 상관관계 \n- 습도와 대여 수량 간의 상관계수 -0.32 -> 음의 상관관계\n- 풍속과 대여 수량 간의 상관계수 0.1 -> 상관관계가 매우 약함. 예측에 별 도움이 되지 못함. 삭제하자!","metadata":{}},{"cell_type":"markdown","source":"### 6.4 베이스라인 모델\n- 뼈대가 되는 가장 기본적인 모델\n- 베이스라인 모델에서 출발해 성능을 점차 향상시키는 방향으로 모델링","metadata":{}},{"cell_type":"markdown","source":"### <베이스라인 모델 전체 프로세스>\n1. 데이터 불러오기\n2. 피처 엔지니어링\n3. 평가지표 계산 함수 작성\n4. 모델 훈련\n5. 성능 검증\n6. 제출 ","metadata":{}},{"cell_type":"code","source":"import pandas as pd\n# 데이터 경로\ndata_path = '/kaggle/input/bike-sharing-demand/'\n\ntrain = pd.read_csv(data_path + 'train.csv')\ntest = pd.read_csv(data_path + 'test.csv')\nsubmission = pd.read_csv(data_path + 'sampleSubmission.csv')","metadata":{"execution":{"iopub.status.busy":"2022-07-22T12:54:46.745576Z","iopub.execute_input":"2022-07-22T12:54:46.745846Z","iopub.status.idle":"2022-07-22T12:54:46.790076Z","shell.execute_reply.started":"2022-07-22T12:54:46.745815Z","shell.execute_reply":"2022-07-22T12:54:46.789117Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## 6.4.1 피처 엔지니어링\n데이터를 변환하는 작업\n\n### 1) 이상치 제거","metadata":{}},{"cell_type":"code","source":"# 훈련 데이터에서 weather가 4가 아닌 데이터만 추출\ntrain = train[train['weather'] != 4]","metadata":{"execution":{"iopub.status.busy":"2022-07-22T12:54:46.791347Z","iopub.execute_input":"2022-07-22T12:54:46.792137Z","iopub.status.idle":"2022-07-22T12:54:46.798620Z","shell.execute_reply.started":"2022-07-22T12:54:46.792104Z","shell.execute_reply":"2022-07-22T12:54:46.797583Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### 2) 데이터 합치기\n훈련 데이터와 테스트 데이터에 같은 피처 엔지니어링을 적용하기 위해 두 데이터를 하나로 합치기 \n- 훈련데이터: 10,886행 - 1(이상치) = 10,885행\n- 테스트데이터: 6,493행","metadata":{}},{"cell_type":"code","source":"all_data_temp = pd.concat([train, test])\nall_data_temp","metadata":{"execution":{"iopub.status.busy":"2022-07-22T12:54:46.799986Z","iopub.execute_input":"2022-07-22T12:54:46.800677Z","iopub.status.idle":"2022-07-22T12:54:46.837682Z","shell.execute_reply.started":"2022-07-22T12:54:46.800620Z","shell.execute_reply":"2022-07-22T12:54:46.836667Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# 인덱스 이어 붙이기\nall_data = pd.concat([train, test], ignore_index=True)\nall_data","metadata":{"execution":{"iopub.status.busy":"2022-07-22T12:54:46.839368Z","iopub.execute_input":"2022-07-22T12:54:46.839939Z","iopub.status.idle":"2022-07-22T12:54:46.874550Z","shell.execute_reply.started":"2022-07-22T12:54:46.839891Z","shell.execute_reply":"2022-07-22T12:54:46.873544Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### 3) 파생 변수(피처) 추가","metadata":{}},{"cell_type":"code","source":"from datetime import datetime\n\n# 날짜 피처 생성\nall_data['date'] = all_data['datetime'].apply(lambda x: x.split()[0])\n# 연도 피처 생성\nall_data['year'] = all_data['datetime'].apply(lambda x: x.split()[0].split('-')[0])\n# 월 피처 생성\nall_data['month'] = all_data['datetime'].apply(lambda x: x.split()[0].split('-')[1])\n# 시 피처 생성\nall_data['hour'] = all_data['datetime'].apply(lambda x: x.split()[1].split(':')[0])\n# 요일 피처 생성\nall_data[\"weekday\"] = all_data['date'].apply(lambda dateString : datetime.strptime(dateString,\"%Y-%m-%d\").weekday())","metadata":{"execution":{"iopub.status.busy":"2022-07-22T12:54:46.876000Z","iopub.execute_input":"2022-07-22T12:54:46.876445Z","iopub.status.idle":"2022-07-22T12:54:47.170836Z","shell.execute_reply.started":"2022-07-22T12:54:46.876399Z","shell.execute_reply":"2022-07-22T12:54:47.169845Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"- 훈련데이터는 매달 1일부터 19일까지의 기록, 테스트 데이터는 매달 20일부터 월말까지의 기록\n- 따라서, 대여 수량을 예측할 때 일(day) 피처는 사용할 필요가 없음. \n- minutes,second 피처도 모든 기록에서 값이 같으므로 예측에 사용할 필요가 없음 ","metadata":{}},{"cell_type":"markdown","source":"### 4) 필요 없는 피처 제거\n\n피처선택\n- 모델링 시 데이터의 특징을 잘 나타내는 주요 피처만 선택하는 작업 \n- 피처 선택은 머신러닝 모델 성능에 큰 영향을 줌\n- 타깃값 예측과 관련 없는 피처가 많으면 오히려 예측 성능이 떨어짐\n","metadata":{}},{"cell_type":"code","source":"drop_features = ['casual', 'registered', 'datetime', 'date', 'windspeed', 'month']\n\nall_data = all_data.drop(drop_features, axis=1)","metadata":{"execution":{"iopub.status.busy":"2022-07-22T12:54:47.172206Z","iopub.execute_input":"2022-07-22T12:54:47.172603Z","iopub.status.idle":"2022-07-22T12:54:47.185659Z","shell.execute_reply.started":"2022-07-22T12:54:47.172560Z","shell.execute_reply":"2022-07-22T12:54:47.184772Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### 5) 데이터 나누기","metadata":{}},{"cell_type":"code","source":"# 훈련 데이터와 테스트 데이터 나누기\nX_train = all_data[~pd.isnull(all_data['count'])] #타깃값(count)이 있으면 훈련 데이터\nX_test = all_data[pd.isnull(all_data['count'])] #타킷값(count)이 없으면 테스트 데이터\n\n# 타깃값 count 제거\nX_train = X_train.drop(['count'], axis=1)\nX_test = X_test.drop(['count'], axis=1)\n\ny = train['count'] # 타깃값은 변수y에 따로 할당 ","metadata":{"execution":{"iopub.status.busy":"2022-07-22T12:54:47.186939Z","iopub.execute_input":"2022-07-22T12:54:47.187643Z","iopub.status.idle":"2022-07-22T12:54:47.201422Z","shell.execute_reply.started":"2022-07-22T12:54:47.187579Z","shell.execute_reply":"2022-07-22T12:54:47.200394Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#피처 엔지니어링 후의 훈련 데이터\nX_train.head()","metadata":{"execution":{"iopub.status.busy":"2022-07-22T12:54:47.202586Z","iopub.execute_input":"2022-07-22T12:54:47.202923Z","iopub.status.idle":"2022-07-22T12:54:47.219148Z","shell.execute_reply.started":"2022-07-22T12:54:47.202879Z","shell.execute_reply":"2022-07-22T12:54:47.218063Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## 6.4.2 평가지표 계산 함수 작성\n- 훈련: 어떠한 능력을 개선하기 위해 배우거나 단련하는 행위\n- 따라서, 훈련이 제대로 이루어졌는지 확인하려면 대상 능력을 평가할 수단, 즉 평가지표가 필요하다. \n\nRMSLE https://daewonyoon.tistory.com/281","metadata":{}},{"cell_type":"markdown","source":"![image.png](attachment:25494d92-8280-42a7-9f32-d2800151ec49.png)","metadata":{},"attachments":{"25494d92-8280-42a7-9f32-d2800151ec49.png":{"image/png":"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"}}},{"cell_type":"code","source":"import numpy as np\n\ndef rmsle(y_true, y_pred, convertExp=True):\n    # 지수변환\n    if convertExp:\n        y_true = np.exp(y_true)\n        y_pred = np.exp(y_pred)\n        \n    # 로그변환 후 결측값을 0으로 변환\n    log_true = np.nan_to_num(np.log(y_true+1)) #np.nan_to_num() : NaN 결측값을 모두 0으로 바꾸는 함수 \n    log_pred = np.nan_to_num(np.log(y_pred+1)) # y에 1을 더한 이유는 로그값이 음의 무한대가 되는 상황을 방지하기 위함\n    \n    # RMSLE 계산\n    output = np.sqrt(np.mean((log_true - log_pred)**2))\n    return output","metadata":{"execution":{"iopub.status.busy":"2022-07-22T12:54:47.220660Z","iopub.execute_input":"2022-07-22T12:54:47.221166Z","iopub.status.idle":"2022-07-22T12:54:47.230563Z","shell.execute_reply.started":"2022-07-22T12:54:47.221122Z","shell.execute_reply":"2022-07-22T12:54:47.229333Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## 6.4.3 모델 훈련\n\n* 회귀(regression): 독립변수와 종속변수(수치형 데이터) 간 관계를 모델링 하는 방법\n\n-> 선형회귀모델을 훈련한다는 것은 독립변수(피처)와 종속변수(타깃값)에 대응하는 최적의 선형 회귀 계수를 구한다는 의미. ","metadata":{}},{"cell_type":"code","source":"from sklearn.linear_model import LinearRegression\n\nlinear_reg_model = LinearRegression() #선형회귀모델","metadata":{"execution":{"iopub.status.busy":"2022-07-22T12:54:47.232264Z","iopub.execute_input":"2022-07-22T12:54:47.233176Z","iopub.status.idle":"2022-07-22T12:54:47.241229Z","shell.execute_reply.started":"2022-07-22T12:54:47.233128Z","shell.execute_reply":"2022-07-22T12:54:47.240440Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"log_y = np.log(y)  # 타깃값 로그변환\nlinear_reg_model.fit(X_train, log_y) # 모델 훈련","metadata":{"execution":{"iopub.status.busy":"2022-07-22T12:54:47.243042Z","iopub.execute_input":"2022-07-22T12:54:47.243745Z","iopub.status.idle":"2022-07-22T12:54:47.275759Z","shell.execute_reply.started":"2022-07-22T12:54:47.243687Z","shell.execute_reply":"2022-07-22T12:54:47.274438Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"![image.png](attachment:89d5dfac-8111-494a-bfc9-a3854e881335.png)","metadata":{},"attachments":{"89d5dfac-8111-494a-bfc9-a3854e881335.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"* 훈련: 독립변수와 종속변수를 활용하여 최적의 선형 회귀 계수를 구하는 과정\n* 예측: 선형 회귀계수를 아는 상태에서 새로운 독립변수가 주어졌을 때 종속변수를 구하는 것 ","metadata":{}},{"cell_type":"markdown","source":"## 6.4.4 모델 성능 검증","metadata":{}},{"cell_type":"code","source":"# 훈련된 선형 회귀 모델이 X_train 피처를 기반으로 타깃값을 예측\npreds = linear_reg_model.predict(X_train)","metadata":{"execution":{"iopub.status.busy":"2022-07-22T12:54:47.277764Z","iopub.execute_input":"2022-07-22T12:54:47.278443Z","iopub.status.idle":"2022-07-22T12:54:47.302087Z","shell.execute_reply.started":"2022-07-22T12:54:47.278396Z","shell.execute_reply":"2022-07-22T12:54:47.300631Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print (f'선형회귀의 RMSLE 값 : {rmsle(log_y, preds, True):.4f}')","metadata":{"execution":{"iopub.status.busy":"2022-07-22T12:54:47.309565Z","iopub.execute_input":"2022-07-22T12:54:47.312931Z","iopub.status.idle":"2022-07-22T12:54:47.331855Z","shell.execute_reply.started":"2022-07-22T12:54:47.312868Z","shell.execute_reply":"2022-07-22T12:54:47.330529Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## 6.4.5 예측 및 결과 제출\n\n<주의사항>\n1. 테스트 데이터로 예측한 결과를 이용해야 함. 앞서 모델 성능 검증 과정에서는 RMSLE 값을 구해보고자 훈련 데이터를 이용한 것\n2. 예측한 값에 지수변환을 해줘야 함. 현재 예측값이 count가 아니라 log(count)이기 때문","metadata":{}},{"cell_type":"code","source":"linearreg_preds = linear_reg_model.predict(X_test) # 테스트 데이터로 예측\n\nsubmission['count'] = np.exp(linearreg_preds)    # 지수변환\nsubmission.to_csv('submission.csv', index=False) # 파일로 저장, 데이터프레임 인덱스를 제외하고 저장 ","metadata":{"execution":{"iopub.status.busy":"2022-07-22T12:54:47.338835Z","iopub.execute_input":"2022-07-22T12:54:47.341504Z","iopub.status.idle":"2022-07-22T12:54:47.417424Z","shell.execute_reply.started":"2022-07-22T12:54:47.341436Z","shell.execute_reply":"2022-07-22T12:54:47.416209Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## [성능개선] 랜덤 포레스트 회귀 모델\n","metadata":{}},{"cell_type":"code","source":"from sklearn.ensemble import RandomForestRegressor\nfrom sklearn.model_selection import GridSearchCV\nfrom sklearn import metrics\nrmsle_scorer = metrics.make_scorer(rmsle,greater_is_better=False)\n\nrandomforest_model = RandomForestRegressor()\n#그리드서치 객체 생성\nrf_params = {'random_state':[42],'n_estimators':[100,120,140]}\ngridsearch_random_forest_model = GridSearchCV(estimator=randomforest_model,param_grid=rf_params,scoring=rmsle_scorer,cv=5)\n#그리드서치 수행\nlog_y = np.log(y)\ngridsearch_random_forest_model.fit(X_train,log_y)\nprint('최적 하이퍼파라미터:',gridsearch_random_forest_model.best_params_)","metadata":{"execution":{"iopub.status.busy":"2022-07-22T12:59:28.155248Z","iopub.execute_input":"2022-07-22T12:59:28.155817Z","iopub.status.idle":"2022-07-22T13:00:18.724481Z","shell.execute_reply.started":"2022-07-22T12:59:28.155785Z","shell.execute_reply":"2022-07-22T13:00:18.723410Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"* 파라미터 vs 하이퍼파라미터 </br>\nhttps://bkshin.tistory.com/entry/%EB%A8%B8%EC%8B%A0%EB%9F%AC%EB%8B%9D-13-%ED%8C%8C%EB%9D%BC%EB%AF%B8%ED%84%B0Parameter%EC%99%80-%ED%95%98%EC%9D%B4%ED%8D%BC-%ED%8C%8C%EB%9D%BC%EB%AF%B8%ED%84%B0Hyper-parameter","metadata":{}},{"cell_type":"markdown","source":"### 1) 모델 성능 검증","metadata":{}},{"cell_type":"code","source":"# 예측\npreds = gridsearch_random_forest_model.best_estimator_.predict(X_train)\n# 평가\nprint(f'랜덤 포레스트 회귀 RMSLE 값: {rmsle(log_y,preds,True):.4f}')","metadata":{"execution":{"iopub.status.busy":"2022-07-22T13:06:46.871151Z","iopub.execute_input":"2022-07-22T13:06:46.871503Z","iopub.status.idle":"2022-07-22T13:06:47.145868Z","shell.execute_reply.started":"2022-07-22T13:06:46.871472Z","shell.execute_reply":"2022-07-22T13:06:47.144972Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"#### cf. f-string\n문자열 맨 앞에 f를 붙여주고, 중괄호 안에 직접 변수 이름이나 출력하고 싶은것을 바로 넣으면 됩니다. </br>\n**f'문자열 {변수} 문자열'**","metadata":{}},{"cell_type":"markdown","source":"### 2) 예측 및 결과 제출","metadata":{}},{"cell_type":"code","source":"#훈련데이터 타깃값, 테스트 데이터 타깃 예측값 분포\nimport seaborn as sns\nimport matplotlib.pyplot as plt\n\nrandomforest_preds = gridsearch_random_forest_model.best_estimator_.predict(X_test)\n\nfigure, axes = plt.subplots(ncols=2)\nfigure.set_size_inches(10,4)\n\nsns.histplot(y,bins=50,ax=axes[0])\naxes[0].set_title('Train Data Distribution')\nsns.histplot(np.exp(randomforest_preds),bins=50,ax=axes[1])\naxes[1].set_title('Predicted Test Data Distribution')","metadata":{"execution":{"iopub.status.busy":"2022-07-22T13:14:52.447256Z","iopub.execute_input":"2022-07-22T13:14:52.447576Z","iopub.status.idle":"2022-07-22T13:14:53.310460Z","shell.execute_reply.started":"2022-07-22T13:14:52.447545Z","shell.execute_reply":"2022-07-22T13:14:53.309485Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"submission['count'] =np.exp(randomforest_preds) #지수변환\nsubmission.to_csv('submission.csv',index=False)","metadata":{"execution":{"iopub.status.busy":"2022-07-22T13:16:28.824830Z","iopub.execute_input":"2022-07-22T13:16:28.825136Z","iopub.status.idle":"2022-07-22T13:16:28.858739Z","shell.execute_reply.started":"2022-07-22T13:16:28.825107Z","shell.execute_reply":"2022-07-22T13:16:28.857789Z"},"trusted":true},"execution_count":null,"outputs":[]}]}