jee joint seat allocation: synthetic data generation

JEE Joint Seat Allocation: Synthetic Data Generation

IIT Madras Team

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

• 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.

• 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.

JEE(Main) and JEE(Adv) Ranking

Analysis of the data indicates that, there is a positive correlation between the two ranks.

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.

Snap Shot of the Final Data

Snap Shot of the Final Data

Comparative Analysis of JEE(Adv) 2013/2014 data with Synthetic data

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

Percentage variation in number of SC candidates in UR List

Percentage of candidates at each level in UR in both years is nearly same

Percentage variation in number of ST candidates in UR List

The Pattern is near similar for both the years

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

Course preference Synthetic Data with NIT engine Vs JEE(Adv)- 2013

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.