predictive analytics workshop - the titanic case study . write a response ( at least 2 pragraphs ) that explains and examines

1. your simple survival predictor developed in activity one

2. how well your model performed on the testing set

3. this activity utilized only small subset of the avaliable data. what are the benefit of having a larger set of training data in the creation of a predictive model? is there an example data element in the sample provided that could leads to errors?

4. working with pen ana paper, it is difficult to consider possible combinations of passenger characteristics to create a more robust predictive models. special techniques.", such as segmentation and clustering allow for the creation of more than one predictive model based on the same dataset. in the provided data,"age" information was missing for many of the passengers. would seprate models for those with age and those without age make sense? why or why not

pls help me out.

the titanic case study

the case study is : predictive analytics workshop - The titanic case study

the titanic case study. ( thats the case study)

please I need help