MAPPING THE SKIES

Have you ever looked up to the sky in a clear night?

Meet the objects

  • STAR:
"A ball of gas burning ________ of miles away"
PUMBA
The Lion King (1994)
  • GALAXY:
A group of _________ of stars.
billions
Please, insert some absurdly huge number here
  • QUASAR:
A galaxy with an extremely luminous core, about _______ regular galaxies, located __________ light-years away.
Please insert some other completely insane number here
billions

What if ?

Earth was the size of a grain of sand (~1mm)

SUN

10 cm

12 m

SOLAR SYSTEM

~1 Km

LIGHT-YEAR

~750 Km

Who is who?

 

900 LY

 

9,000,000,000 LY

 

~100,000,000 LY

Earth to Moon and back

Earth to Pluto and back

Almost a REAL Light Year

five times

Dataset

SLOAN DIGITAL SKY SURVEY

MAP THE ENTIRE UNIVERSE

10,6

13,2

15,4

9,9

Dataset

1%

500,000 objects

5 light features

Pipeline Model

Logistic Regression

Stratified Train Test Split

F1 Macro

Training 10 models with default settings

10,000 objects

Test (2%)

EDA

Data Cleaning

Pre-

processing

Transform Columns

Standard Scaler

Stochastic Gradient Descent

K-Nearest Neighbors

Naive-Bayes

Decision Tree

ADA Boost

Bagging Classifier

Extra Trees

Gradient Boost

Random Forest

Fine-tuning

3 best models

Final

Training

Model

Random Forest

F1 Macro = 0.99

97.27%  QUASARS

Classifies correctly

99.57%  GALAXIES

99.97%   STARS

The secret?

Redshift: 52% feature importance

Conclusions

  • Universe is BIG

  • Light from objects can tell us a lot, even from extreme distances

  • Model is accurate, but always can be improved

Thank

You!!

What is a Light-year?

The distance that light travels in a year

9,461,000,000,000 KM

Pipeline Model

  • Logistic Regression
  • Stochastic Gradient Descent
  • K-Nearest Neighbors
  • Naive-Bayes
  • Decision Tree
  • Stratified Train Test Split: 10,000 objects to Test (2%)
  • Exploratory Data Analysis
  • Data Cleaning
  • Preprocessing: Transform columns, Standard Scaling
  • Training 10 models with default settings
  • Fine-tuning 3 chosen models
  • Final training

F1 Macro

  • ADA Boost
  • Bagging Classifier
  • Extra Trees
  • Gradient Boost
  • Random Forest
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