Please select all the columns which you think can be used as features.
Remember, our task is to build a machine learning model to predict what sorts of people were likely to survive.
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30 Comments
Sorry, I am unable to understand why 'Name' is not an attribute.
Upvote ShareGood question! The reason "Name" is not considered a useful attribute (feature) in most machine learning models is due to it's Lack of Predictive Power. A person’s name does not have a direct relationship with survival probability.
Upvote ShareThanks, Shubh.
However I want to report a bug in your online application.
I have already completed this section ,till the end and marked it as completed . when I logiged in today then application has took me to question number 3 . Is it that this section is not recorded as Completed at backend.
Upvote ShareHi Kulwinder,
Thank you for bringing this to our notice. We will surely look into it.
Upvote Sharehow is parch a feature? it has the same value across all instances
Upvote ShareHi Harshit,
In above case, we are just showing 5 records from the whole dataset. So, in other records, patch may contain multiple values. Parch is the number of Parents/Children Aboard. You can see the whole dataset at: https://www.kaggle.com/competitions/titanic/data
1 Upvote ShareExcept name and Passenger id
2 Upvote ShareHi,
Please select the respective options above and then click on the Submit Answer button to complete this assignment.
Thanks.
Upvote ShareHow does embarked matter?
Upvote ShareHi,
Embarked denotes the port of embarkation, here C = Cherbourg, Q = Queenstown, S = Southampton. I believe the allocation of berths depends the same. You can find more about the features from the Kaggle page of this dataset:
https://www.kaggle.com/c/titanic/data
Thanks.
Upvote ShareI am not getting the answer, can anybody tell me correct answer.
Upvote ShareHi,
The answer is available below the question.
Thanks.
Upvote Sharehello there is no option to see the result ?? why is that so?
Upvote ShareHi,
This question is to test the learner's understanding. Please go through the problem statement and answer the question.
All the best!
Upvote Sharewhy not Parch ?
Upvote ShareHi,
Parch is the number of Parents/Children Aboard. Does it contribute towards survival rate? What do you think?
Thanks.
Upvote ShareThen please remove Parch from the answer list.
Kindly correct the list of answers, I wanted to know why Parch is among the answers.
"Age, Sex, Embarked, Pclass, SibSp, Parch, Fare" on selecting this I was able to proceed further. Try submitting these answers.
Kindly check. Thanks
Upvote ShareThanks, I always follow your responses. Really usefull and equally important for learning.
Upvote ShareHi,
Thank you for your kind words. Parch is among the answer because it is one of the features that contribute towards the survival rate.
Thanks.
Upvote Sharei have all tried all answers but still showing wrong
Upvote ShareThis comment has been removed.
Of all the available options, I selected : Age, Name, Sex, Embarked, Pclass, Sibsp, Fare (PassengerID - not selected as it is unique for each instance. Parch - not selected since all instance have same value of 0). Still it says Incorrect answer. Can you please correct me where am I going wrong?
Upvote ShareHi,
Can you use Name as a feature? How will you use names to predict if that person can survive or not? These questions should help you choose the correct options.
Thanks.
Upvote ShareHi Team,
As per the dataset, other than "survived" all of the coloumns can be used as features but even if I select all or a set of features such as
1. Age,Sex,Embarked,SibSp,Parch
2. Age,Sex,Embarked,SibSp,Parch,Fare
It does not point me to the answer. Please help out here on the actual answer.
Upvote ShareHi,
The question asks out of all the columns listed above, which are the ones you can use as features. Can you use all of these columns as features?
Thanks.
Upvote Sharehi,
Upvote Sharein this question, for me looks like Age, Sex, PClass,SibSp and Parch should be sufficient features for modelling. Please help in better understanding.
Hi,
The question here has asked to list all the features that can be used for modelling, not the minimum number of features.
Thanks.
-- Rajtilak Bhattacharjee
Upvote ShareYeah, but in order to solve the problem and around the context, why do we need fare. If we include Fare then we can have Name as well. I am trying to understand the significance within the context of the given problem. Appreciate clarifications.
Upvote ShareHi,
The Fare has a direct correlation with Class. And even though we are not considering Name here, it too can be used as a feature. How? The name, if you notice it, contains Mr. Miss. etc to denote gender/status. So we can easily infer from the data whether more women or men survived this tragedy. However, for that we need to extract the feature which is beyond the scope of this topic, and also it might not be much of an useful feature since not all passengers have used same salutation. So we have not included Name even though we have included Fare.
Thanks.
-- Rajtilak Bhattacharjee
Upvote Share