jee joint seat allocation: synthetic data generation
TRANSCRIPT
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JEE Joint Seat Allocation: Synthetic Data Generation
IIT Madras Team
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Course Preference-Data Generation Engine
JEE(Main) (5 Lakh)
Candidates
Category Selector &
Gender Selector
Advanced Rank
Generator
Final Data
NIT Closing Rank
Lookup Table for IIT
and NIT
IIT Closing Ranks
Choice Generator
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• Assign one of GEN/OBC/SC/ST category • Assign PwD if applicable. • Assign gender after category allocation. • For JEE(Adv) third gender provision is carried out ( if they have any
course restriction then accordingly the program could be tuned) In CML rank, it ensures
~ 66 % GEN ~ 30 % OBC ~ 3% SC ~ 0.8% ST Appropriately set PwD.
In addition, the candidates will be listed in
appropriate category rank lists, if so.
Category Selector
This percentage obtained is
based on JEE(Adv) 2013,2014 data.
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• Start with JEE Advanced Rank = JEE Main Rank.
• Randomly choose a candidate and pick a neighbour at an offset • of atmost 20 away from its main rank.
• Swap their advanced ranks.
• Repeat this for 5,00,000 * 20.
Advanced Rank Generator
First 20,000 candidates allotted with Advanced ranks taking into consideration of all categories.
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JEE(Main) and JEE(Adv) Ranking
Analysis of the data indicates that, there is a positive correlation between the two ranks.
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Choice Generator
ANALYSIS OF JEE( ADV) 2013 & 2014
DATA
Category
Popular Courses (based on closing
ranks)
Rank
The candidates choice fillings string considered to be Ambitious, Rational, Safe and Random
Number of Programs with IIT/NIT: 217/612
Choice Generator Is highly
tunable/flexible.
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Snap Shot of the Final Data
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Snap Shot of the Final Data
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Comparative Analysis of JEE(Adv) 2013/2014 data with Synthetic data
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Percentage variation in number of OBC candidates in UR List
Number of candidates between any two percentages is the Same - in the last two years data
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Percentage variation in number of SC candidates in UR List
Percentage of candidates at each level in UR in both years is nearly same
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Percentage variation in number of ST candidates in UR List
The Pattern is near similar for both the years
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Course Preferences at Different Rank Levels with only IIT
• The results indicates popularity of the courses for different Ranks- Irrespective of Category • The data arrived at based on first preference
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Course preference Synthetic Data with NIT engine Vs JEE(Adv)- 2013
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Highlights
• Ranks for 5 Lakh JEE(Main) candidates along with their category and gender is generated
• JEE( Adv) ranks for seat filling accommodating all categories were carried out.
• Gender classification is carried out. Provision carried out for third gender.
• Course choice filling for IITs (20,000 candidates) and NITs (5 Lakhs inclusive of JEE(adv) candidates) were carried out.
• The candidates choice fillings string for IITs and NITs considered to be Ambitious, Rational, Safe and Random
• Synthetic data has similarity with last few years data of JEE (adv) in terms of distribution of category candidates in CML, course choices, length of string etc.