{"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":"code","source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load\n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the read-only \"../input/\" directory\n# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n\nimport os\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n    for filename in filenames:\n        print(os.path.join(dirname, filename))\n\n# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2022-07-11T17:06:05.365665Z","iopub.execute_input":"2022-07-11T17:06:05.366795Z","iopub.status.idle":"2022-07-11T17:06:05.375395Z","shell.execute_reply.started":"2022-07-11T17:06:05.366755Z","shell.execute_reply":"2022-07-11T17:06:05.374212Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import pandas as pd\nimport numpy as nm\n\n","metadata":{"execution":{"iopub.status.busy":"2022-07-11T17:06:05.569831Z","iopub.execute_input":"2022-07-11T17:06:05.570257Z","iopub.status.idle":"2022-07-11T17:06:05.574846Z","shell.execute_reply.started":"2022-07-11T17:06:05.570220Z","shell.execute_reply":"2022-07-11T17:06:05.573936Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_df = pd.read_csv('../input/spaceship-titanic/train.csv')\ntest_df = pd.read_csv('../input/spaceship-titanic/test.csv')","metadata":{"execution":{"iopub.status.busy":"2022-07-11T17:06:05.673060Z","iopub.execute_input":"2022-07-11T17:06:05.673632Z","iopub.status.idle":"2022-07-11T17:06:05.719981Z","shell.execute_reply.started":"2022-07-11T17:06:05.673600Z","shell.execute_reply":"2022-07-11T17:06:05.719191Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test_df.shape","metadata":{"execution":{"iopub.status.busy":"2022-07-11T17:06:05.976157Z","iopub.execute_input":"2022-07-11T17:06:05.977071Z","iopub.status.idle":"2022-07-11T17:06:05.982678Z","shell.execute_reply.started":"2022-07-11T17:06:05.977032Z","shell.execute_reply":"2022-07-11T17:06:05.981648Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"pas=test_df.PassengerId","metadata":{"execution":{"iopub.status.busy":"2022-07-11T17:06:06.191456Z","iopub.execute_input":"2022-07-11T17:06:06.191843Z","iopub.status.idle":"2022-07-11T17:06:06.197092Z","shell.execute_reply.started":"2022-07-11T17:06:06.191810Z","shell.execute_reply":"2022-07-11T17:06:06.196323Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_df.head()\ny=train_df.Transported","metadata":{"execution":{"iopub.status.busy":"2022-07-11T17:06:06.386693Z","iopub.execute_input":"2022-07-11T17:06:06.387904Z","iopub.status.idle":"2022-07-11T17:06:06.392806Z","shell.execute_reply.started":"2022-07-11T17:06:06.387861Z","shell.execute_reply":"2022-07-11T17:06:06.391770Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"datas=train_df.drop(['Transported'],axis='columns')\ndatas=pd.concat([datas,test_df],axis=0)","metadata":{"execution":{"iopub.status.busy":"2022-07-11T17:06:06.485753Z","iopub.execute_input":"2022-07-11T17:06:06.486144Z","iopub.status.idle":"2022-07-11T17:06:06.498423Z","shell.execute_reply.started":"2022-07-11T17:06:06.486091Z","shell.execute_reply":"2022-07-11T17:06:06.497286Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"datas.tail()","metadata":{"execution":{"iopub.status.busy":"2022-07-11T17:06:06.805955Z","iopub.execute_input":"2022-07-11T17:06:06.806331Z","iopub.status.idle":"2022-07-11T17:06:06.827233Z","shell.execute_reply.started":"2022-07-11T17:06:06.806301Z","shell.execute_reply":"2022-07-11T17:06:06.826155Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"datas=datas.drop(['Name','Cabin'],axis='columns')","metadata":{"execution":{"iopub.status.busy":"2022-07-11T17:06:06.909599Z","iopub.execute_input":"2022-07-11T17:06:06.910620Z","iopub.status.idle":"2022-07-11T17:06:06.920025Z","shell.execute_reply.started":"2022-07-11T17:06:06.910570Z","shell.execute_reply":"2022-07-11T17:06:06.919188Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"nan_cols = [i for i in datas.columns if datas[i].isnull().any()]\nnan_cols","metadata":{"execution":{"iopub.status.busy":"2022-07-11T17:06:07.004827Z","iopub.execute_input":"2022-07-11T17:06:07.005961Z","iopub.status.idle":"2022-07-11T17:06:07.020482Z","shell.execute_reply.started":"2022-07-11T17:06:07.005909Z","shell.execute_reply":"2022-07-11T17:06:07.019043Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"col=['RoomService',\n 'FoodCourt',\n 'ShoppingMall',\n 'Spa',\n 'VRDeck','Age']\ndatas[col]=datas[col].fillna(datas[col].median())","metadata":{"execution":{"iopub.status.busy":"2022-07-11T17:06:07.204165Z","iopub.execute_input":"2022-07-11T17:06:07.204851Z","iopub.status.idle":"2022-07-11T17:06:07.218202Z","shell.execute_reply.started":"2022-07-11T17:06:07.204801Z","shell.execute_reply":"2022-07-11T17:06:07.217200Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"nan_cols = [i for i in datas.columns if datas[i].isnull().any()]\nnan_cols","metadata":{"execution":{"iopub.status.busy":"2022-07-11T17:06:07.307331Z","iopub.execute_input":"2022-07-11T17:06:07.307975Z","iopub.status.idle":"2022-07-11T17:06:07.322531Z","shell.execute_reply.started":"2022-07-11T17:06:07.307929Z","shell.execute_reply":"2022-07-11T17:06:07.321195Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"nol=datas.CryoSleep.unique()\nnol.size","metadata":{"execution":{"iopub.status.busy":"2022-07-11T17:06:07.534908Z","iopub.execute_input":"2022-07-11T17:06:07.535330Z","iopub.status.idle":"2022-07-11T17:06:07.542803Z","shell.execute_reply.started":"2022-07-11T17:06:07.535293Z","shell.execute_reply":"2022-07-11T17:06:07.541725Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"datas.shape","metadata":{"execution":{"iopub.status.busy":"2022-07-11T17:06:07.627217Z","iopub.execute_input":"2022-07-11T17:06:07.628059Z","iopub.status.idle":"2022-07-11T17:06:07.637798Z","shell.execute_reply.started":"2022-07-11T17:06:07.628007Z","shell.execute_reply":"2022-07-11T17:06:07.636447Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"datas=datas.drop(['PassengerId'],axis='columns')","metadata":{"execution":{"iopub.status.busy":"2022-07-11T17:06:07.846012Z","iopub.execute_input":"2022-07-11T17:06:07.847256Z","iopub.status.idle":"2022-07-11T17:06:07.854505Z","shell.execute_reply.started":"2022-07-11T17:06:07.847202Z","shell.execute_reply":"2022-07-11T17:06:07.853590Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"nan_cols = [i for i in datas.columns if datas[i].isnull().any()]\nnan_cols","metadata":{"execution":{"iopub.status.busy":"2022-07-11T17:06:07.939521Z","iopub.execute_input":"2022-07-11T17:06:07.940359Z","iopub.status.idle":"2022-07-11T17:06:07.951640Z","shell.execute_reply.started":"2022-07-11T17:06:07.940315Z","shell.execute_reply":"2022-07-11T17:06:07.950607Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"datas.shape","metadata":{"execution":{"iopub.status.busy":"2022-07-11T17:06:08.018854Z","iopub.execute_input":"2022-07-11T17:06:08.019792Z","iopub.status.idle":"2022-07-11T17:06:08.027489Z","shell.execute_reply.started":"2022-07-11T17:06:08.019714Z","shell.execute_reply":"2022-07-11T17:06:08.026485Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"datas.isna().sum()","metadata":{"execution":{"iopub.status.busy":"2022-07-11T17:06:08.169277Z","iopub.execute_input":"2022-07-11T17:06:08.170495Z","iopub.status.idle":"2022-07-11T17:06:08.182099Z","shell.execute_reply.started":"2022-07-11T17:06:08.170448Z","shell.execute_reply":"2022-07-11T17:06:08.180922Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"datas['VIP'].value_counts()","metadata":{"execution":{"iopub.status.busy":"2022-07-11T17:06:08.339658Z","iopub.execute_input":"2022-07-11T17:06:08.340437Z","iopub.status.idle":"2022-07-11T17:06:08.350930Z","shell.execute_reply.started":"2022-07-11T17:06:08.340393Z","shell.execute_reply":"2022-07-11T17:06:08.349864Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"datas=datas.fillna({\n       'HomePlanet':'Earth',\n        'CryoSleep':'False',\n     'Destination':'TRAPPIST-1e',\n             'VIP':'False'\n})","metadata":{"execution":{"iopub.status.busy":"2022-07-11T17:06:08.487045Z","iopub.execute_input":"2022-07-11T17:06:08.489401Z","iopub.status.idle":"2022-07-11T17:06:08.500995Z","shell.execute_reply.started":"2022-07-11T17:06:08.489354Z","shell.execute_reply":"2022-07-11T17:06:08.499880Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"datas.isna().sum()\n","metadata":{"execution":{"iopub.status.busy":"2022-07-11T17:06:08.654235Z","iopub.execute_input":"2022-07-11T17:06:08.655347Z","iopub.status.idle":"2022-07-11T17:06:08.665822Z","shell.execute_reply.started":"2022-07-11T17:06:08.655303Z","shell.execute_reply":"2022-07-11T17:06:08.664974Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"dataset = pd.get_dummies(datas, drop_first=True)","metadata":{"execution":{"iopub.status.busy":"2022-07-11T17:06:08.814084Z","iopub.execute_input":"2022-07-11T17:06:08.814857Z","iopub.status.idle":"2022-07-11T17:06:08.830703Z","shell.execute_reply.started":"2022-07-11T17:06:08.814819Z","shell.execute_reply":"2022-07-11T17:06:08.829472Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"dataset.head(7)","metadata":{"execution":{"iopub.status.busy":"2022-07-11T17:06:08.966543Z","iopub.execute_input":"2022-07-11T17:06:08.967229Z","iopub.status.idle":"2022-07-11T17:06:08.985943Z","shell.execute_reply.started":"2022-07-11T17:06:08.967178Z","shell.execute_reply":"2022-07-11T17:06:08.984490Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"X=dataset.iloc[:8693,:]\ntest=dataset.iloc[8693:,:]","metadata":{"execution":{"iopub.status.busy":"2022-07-11T17:06:09.104802Z","iopub.execute_input":"2022-07-11T17:06:09.107176Z","iopub.status.idle":"2022-07-11T17:06:09.112175Z","shell.execute_reply.started":"2022-07-11T17:06:09.107111Z","shell.execute_reply":"2022-07-11T17:06:09.110972Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test.shape","metadata":{"execution":{"iopub.status.busy":"2022-07-11T17:06:09.256092Z","iopub.execute_input":"2022-07-11T17:06:09.256515Z","iopub.status.idle":"2022-07-11T17:06:09.263047Z","shell.execute_reply.started":"2022-07-11T17:06:09.256479Z","shell.execute_reply":"2022-07-11T17:06:09.261971Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"y.head()","metadata":{"execution":{"iopub.status.busy":"2022-07-11T17:06:09.405790Z","iopub.execute_input":"2022-07-11T17:06:09.406897Z","iopub.status.idle":"2022-07-11T17:06:09.416272Z","shell.execute_reply.started":"2022-07-11T17:06:09.406845Z","shell.execute_reply":"2022-07-11T17:06:09.415221Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from sklearn.model_selection import train_test_split\n\ntrain_X, test_X, train_y, test_y = train_test_split(X, y, test_size=0.2, random_state=42)","metadata":{"execution":{"iopub.status.busy":"2022-07-11T17:06:09.644361Z","iopub.execute_input":"2022-07-11T17:06:09.645030Z","iopub.status.idle":"2022-07-11T17:06:09.654027Z","shell.execute_reply.started":"2022-07-11T17:06:09.644979Z","shell.execute_reply":"2022-07-11T17:06:09.653217Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from sklearn.model_selection import StratifiedKFold\nfolds = StratifiedKFold(n_splits=5)","metadata":{"execution":{"iopub.status.busy":"2022-07-11T17:06:09.889948Z","iopub.execute_input":"2022-07-11T17:06:09.890343Z","iopub.status.idle":"2022-07-11T17:06:09.894901Z","shell.execute_reply.started":"2022-07-11T17:06:09.890309Z","shell.execute_reply":"2022-07-11T17:06:09.893806Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from sklearn.model_selection import cross_val_score\n","metadata":{"execution":{"iopub.status.busy":"2022-07-11T17:06:10.050176Z","iopub.execute_input":"2022-07-11T17:06:10.050576Z","iopub.status.idle":"2022-07-11T17:06:10.055720Z","shell.execute_reply.started":"2022-07-11T17:06:10.050539Z","shell.execute_reply":"2022-07-11T17:06:10.054863Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from sklearn.svm import SVC\nmodel = SVC(C=2)\nmodel.fit(train_X,train_y)","metadata":{"execution":{"iopub.status.busy":"2022-07-11T17:06:10.265513Z","iopub.execute_input":"2022-07-11T17:06:10.266583Z","iopub.status.idle":"2022-07-11T17:06:12.147499Z","shell.execute_reply.started":"2022-07-11T17:06:10.266541Z","shell.execute_reply":"2022-07-11T17:06:12.146269Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"cross_val_score(model,X,y)","metadata":{"execution":{"iopub.status.busy":"2022-07-11T17:06:12.149848Z","iopub.execute_input":"2022-07-11T17:06:12.150308Z","iopub.status.idle":"2022-07-11T17:06:23.324186Z","shell.execute_reply.started":"2022-07-11T17:06:12.150266Z","shell.execute_reply":"2022-07-11T17:06:23.323009Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from sklearn.linear_model import LogisticRegression\nmodel_1=LogisticRegression()\nmodel_1.fit(train_X,train_y)","metadata":{"execution":{"iopub.status.busy":"2022-07-11T17:06:23.325595Z","iopub.execute_input":"2022-07-11T17:06:23.326181Z","iopub.status.idle":"2022-07-11T17:06:23.458915Z","shell.execute_reply.started":"2022-07-11T17:06:23.326100Z","shell.execute_reply":"2022-07-11T17:06:23.457555Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"cross_val_score(model_1,X, y)","metadata":{"execution":{"iopub.status.busy":"2022-07-11T17:06:23.462585Z","iopub.execute_input":"2022-07-11T17:06:23.463603Z","iopub.status.idle":"2022-07-11T17:06:24.132223Z","shell.execute_reply.started":"2022-07-11T17:06:23.463547Z","shell.execute_reply":"2022-07-11T17:06:24.131005Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from sklearn.naive_bayes import GaussianNB\nmode = GaussianNB()","metadata":{"execution":{"iopub.status.busy":"2022-07-11T17:06:24.134304Z","iopub.execute_input":"2022-07-11T17:06:24.135177Z","iopub.status.idle":"2022-07-11T17:06:24.141112Z","shell.execute_reply.started":"2022-07-11T17:06:24.135113Z","shell.execute_reply":"2022-07-11T17:06:24.139639Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"cross_val_score(mode,X, y)","metadata":{"execution":{"iopub.status.busy":"2022-07-11T17:06:24.143242Z","iopub.execute_input":"2022-07-11T17:06:24.144136Z","iopub.status.idle":"2022-07-11T17:06:24.228352Z","shell.execute_reply.started":"2022-07-11T17:06:24.144072Z","shell.execute_reply":"2022-07-11T17:06:24.227092Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from sklearn.ensemble import RandomForestClassifier\nmodl = RandomForestClassifier(n_estimators=40)","metadata":{"execution":{"iopub.status.busy":"2022-07-11T17:06:24.230529Z","iopub.execute_input":"2022-07-11T17:06:24.231449Z","iopub.status.idle":"2022-07-11T17:06:24.237893Z","shell.execute_reply.started":"2022-07-11T17:06:24.231397Z","shell.execute_reply":"2022-07-11T17:06:24.236415Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"\nmodl.fit(train_X,train_y)","metadata":{"execution":{"iopub.status.busy":"2022-07-11T17:06:24.239615Z","iopub.execute_input":"2022-07-11T17:06:24.246451Z","iopub.status.idle":"2022-07-11T17:06:24.526440Z","shell.execute_reply.started":"2022-07-11T17:06:24.246408Z","shell.execute_reply":"2022-07-11T17:06:24.525593Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"cross_val_score(modl,X, y)","metadata":{"execution":{"iopub.status.busy":"2022-07-11T17:06:24.527401Z","iopub.execute_input":"2022-07-11T17:06:24.527843Z","iopub.status.idle":"2022-07-11T17:06:25.966299Z","shell.execute_reply.started":"2022-07-11T17:06:24.527815Z","shell.execute_reply":"2022-07-11T17:06:25.965558Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from sklearn.ensemble import GradientBoostingClassifier #For Regression\ncl = GradientBoostingClassifier(n_estimators=100, learning_rate=0.5, max_depth=3)\ncl.fit(train_X,train_y)\ncl.score(test_X,test_y)","metadata":{"execution":{"iopub.status.busy":"2022-07-11T17:06:25.968517Z","iopub.execute_input":"2022-07-11T17:06:25.968965Z","iopub.status.idle":"2022-07-11T17:06:26.704855Z","shell.execute_reply.started":"2022-07-11T17:06:25.968938Z","shell.execute_reply":"2022-07-11T17:06:26.703736Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from sklearn.ensemble import AdaBoostClassifier #For Classification\nfrom sklearn.ensemble import AdaBoostRegressor #For Regression\nfrom sklearn.tree import DecisionTreeClassifier\ndtree = DecisionTreeClassifier()\nclr = AdaBoostClassifier(n_estimators=100, base_estimator=dtree,learning_rate=2)\nclr.fit(train_X,train_y)\nclr.score(test_X,test_y)","metadata":{"execution":{"iopub.status.busy":"2022-07-11T17:06:26.706311Z","iopub.execute_input":"2022-07-11T17:06:26.706628Z","iopub.status.idle":"2022-07-11T17:06:29.141950Z","shell.execute_reply.started":"2022-07-11T17:06:26.706599Z","shell.execute_reply":"2022-07-11T17:06:29.140867Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"predicted=cl.predict(test)","metadata":{"execution":{"iopub.status.busy":"2022-07-11T17:06:29.143198Z","iopub.execute_input":"2022-07-11T17:06:29.143525Z","iopub.status.idle":"2022-07-11T17:06:29.158702Z","shell.execute_reply.started":"2022-07-11T17:06:29.143495Z","shell.execute_reply":"2022-07-11T17:06:29.157266Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"prediction = pd.DataFrame(predicted,columns=['Transported']).to_csv('submissio.csv',index=False)\nresult=pd.read_csv('submissio.csv')\nresult=pd.concat([pas,result],axis='columns')\n#result=result.drop([1459],axis=0)\nresult.tail()","metadata":{"execution":{"iopub.status.busy":"2022-07-11T17:06:29.160240Z","iopub.execute_input":"2022-07-11T17:06:29.160893Z","iopub.status.idle":"2022-07-11T17:06:29.181774Z","shell.execute_reply.started":"2022-07-11T17:06:29.160854Z","shell.execute_reply":"2022-07-11T17:06:29.180383Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"prediction = pd.DataFrame(result, columns=['PassengerId','Transported']).to_csv('submission.csv',index=False)\nresults=pd.read_csv('submission.csv')\nresults.tail()","metadata":{"execution":{"iopub.status.busy":"2022-07-11T17:06:29.183344Z","iopub.execute_input":"2022-07-11T17:06:29.183903Z","iopub.status.idle":"2022-07-11T17:06:29.206763Z","shell.execute_reply.started":"2022-07-11T17:06:29.183870Z","shell.execute_reply":"2022-07-11T17:06:29.205929Z"},"trusted":true},"execution_count":null,"outputs":[]}]}