This data set consists of Placement data of students in a XYZ campus. It includes secondary and higher secondary school percentage and specialization.

Data Description

Some of the columns in the data are listed below:

gender: Gender of the candidate (male/female)
ssc_b: senior secondary board
ssc_p: senior secondary percentage scored
hsc_b: higher secondary board
hsc_p: higher secondary percentage scored
hsc_s: higher secondary subject
degree_p: percentage scored in degree/graduation
etest_p: entrance test percentage scored
mba_p: mba percentage scored
specialization: mba specialization
workex: work experience
status: placed or not placed (target variable)

Saving Prediction File & Sample Submission

You can find more details on how to save a prediction file here: https://discuss.dphi.tech/t/how-to-submit-predictions/548

Sample submission: You should submit a CSV file with a header row and the sample submission can be found below:

prediction

Placed

Placed

Not Placed

Not Placed

Placed

Not Placed

Placed

Placed

Placed

Not Placed

.

.

.

Etc.

Note that the header name should be ‘prediction’ else it will throw an evaluation error.

Notebook Submission

Steps to follow to submit your notebook:

Go to the Notebook section on this challenge page
Click on the 'Upload Notebook' button on top left corner as shown in the image below:
Make sure to make the visibility of your notebook as 'public' while uploading the notebook.
Provide Notebook Title, Summary, add some tags, go to next, chose a file and click on Upload.

Acknowledgement

This dataset is sourced from UCI Machine Learning Repository.

Data Sprint #42: Campus Recruitment

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