what variable is used as target variable

uCertify DAT-610-10093 V 19 COURSE - DAT610 - Optimization and Risk Assessment MY LIBRARY JupyterLab - Mozilla Fir. Send text keystrokes 07:45 AM D ) A G JupyterLab - Mozilla Firefolbuser002aipl) Activity Evidence O X JupyterLab X Question 2: Which variable is used as the target CA 0 7 127.0.0.1:8897/lab . .. IIN 1 9 E variable in the multiple logistic regression model? File Edit View Run Kernel Tabs Settings Help Multiple_LogReg.ipynb X Code Python 3 O O Name [2]: df = sns . load_dataset ("titanic") PART C: Making Downloads df = df[ [ 'survived' , 'sex' , 'age' , ' fare' , 'pclass' ]] . dropna() Music df . head ( ) Predictions and Evaluating Pictures [2] : survived sex age fare pclass Public 0 male 22.0 7.2500 the Accuracy seaborn-data 1 female 38.0 71.2833 ITEM LIST Templates STEP 1 2 1 female 26.0 7.9250 Videos In the Input cell, type the following code to make 3 1 female 35.0 53.1000 VirtualBox VMs predictions on the test data, and then click the Run 0 male 35.0 8.0500 ( ) button: aio.sh [3]: df [ sex' ] = df [ ' sex' ] . map({'male' : 0, 'female' : 1}) 2 defs.py y_pred = model . predict(X_test) 2 gaussian_anomaly_detection.py [4] : X = df[ [ 'sex' , 'age' , 'fare' , 'pclass' ]] gaussian_anomaly_detection... y = df [ ' survived' ] STEP 2 2 get-pip.py [5]: X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42) In the Input cell, type the following code to generate jupyter.png a confusion matrix, and then click the Run ( ) jupyter.sh [6]: model = LogisticRegression (max_iter=200) button: JupyterLab.sh model. fit (X_train, y_train) . Multinomial_LogReg.ipynb [6] : LogisticRegression Multiple_LogReg.ipynb LogisticRegression (max_iter=200) conf_matrix = confusion_matrix(y_test Untitled.ipynb print ( "Confusion Matrix: \ ", conf_mat 0 s_ 2 ) No Kernel! | Idle Mode: Command Ln 1, Col 1 Multiple_LogReg.ipynb