good morning,

I am sure you are familiar with the titanic dataset predicting survival rate. I created regression model, one linear discriminant analysis model, one Naive Bayes model, and one K-Nearest Neighbor model to predict survival using the train set. I am suppose to predict the test set data using all four models. However, the test does not include the Survived variable. How can I complete this task?

Hi @Hesham Dabbas,

What is your source for the titanic.sav dataset?

I googled for it and found
https://github.com/datasciencedojo/datasets/blob/master/titanic.csv

The second variable in the file is "Survived", dichotomous, coded 0 and 1.   Is this the same dataset you are referencing?

good morning,

I am sure you are familiar with the titanic dataset predicting survival rate. I created regression model, one linear discriminant analysis model, one Naive Bayes model, and one K-Nearest Neighbor model to predict survival using the train set. I am suppose to predict the test set data using all four models. However, the test does not include the Survived variable. How can I complete this task?

good morning,

I am sure you are familiar with the titanic dataset predicting survival rate. I created regression model, one linear discriminant analysis model, one Naive Bayes model, and one K-Nearest Neighbor model to predict survival using the train set. I am suppose to predict the test set data using all four models. However, the test does not include the Survived variable. How can I complete this task?

Well, you can predict the outcomes in the test dataset (using the Scoring Wizard), and you can summarize those outcomes, but since you can't evaluate the quality of the predictions without the survived variables, maybe the instructor wants your predictions dataset.

You can compare the predictions across the different estimated models.  It would be interesting to see how well they agree.

good morning,

I am sure you are familiar with the titanic dataset predicting survival rate. I created regression model, one linear discriminant analysis model, one Naive Bayes model, and one K-Nearest Neighbor model to predict survival using the train set. I am suppose to predict the test set data using all four models. However, the test does not include the Survived variable. How can I complete this task?

Thank you. Do you have or recommend instruction on how to use the scoring wizard?

Well, you can predict the outcomes in the test dataset (using the Scoring Wizard), and you can summarize those outcomes, but since you can't evaluate the quality of the predictions without the survived variables, maybe the instructor wants your predictions dataset.

You can compare the predictions across the different estimated models.  It would be interesting to see how well they agree.

good morning,

I am sure you are familiar with the titanic dataset predicting survival rate. I created regression model, one linear discriminant analysis model, one Naive Bayes model, and one K-Nearest Neighbor model to predict survival using the train set. I am suppose to predict the test set data using all four models. However, the test does not include the Survived variable. How can I complete this task?