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Comparison of various AI approaches for predicting the value of used vehicles. Data cleaning, parameter tuning, and result analysis are present.

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andre3racks/car-value-prediction

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Data

Vehicle data is classified into 16 distinct columns:

  • [0] City
  • [1] Price
  • [2] Year
  • [3] Make
  • [4] Model
  • [5] Condition
  • [6] Cylinders
  • [7] Gas type
  • [8] Odometer
  • [9] Title status
  • [10] Transmission type
  • [11] Drive type
  • [12] Size
  • [13] Car type
  • [14] Color
  • [15] State

City

Column 0 Defunct - Don't use.

Price

Column 1 Currently untouched.

Year

Column 2 Set to age of car (2020 - < car year >)

Make

Column 3 Integer value based on index of make:

  • 0 - ACURA
  • 1 - ALFA-ROMEO
  • 2 - ASTON-MARTIN
  • 3 - AUDI
  • 4 - BMW
  • 5 - BUICK
  • 6 - CADILLAC
  • 7 - CHEVROLET'
  • 8 - CHRYSLER
  • 9 - DATSUN
  • 10 - DODGE'
  • 11 - FERRARI
  • 12 - FIAT
  • 13 - FORD
  • 14 - GMC
  • 15 - HARLEY-DAVIDSON
  • 16 - HENNESSEY
  • 17 - HONDA
  • 18 - HYUNDAI
  • 19 - INFINITI
  • 20 - JAGUAR
  • 21 - JEEP
  • 22 - KIA
  • 23 - LAND ROVER
  • 24 - LEXUS
  • 25 - LINCOLN
  • 26 - MAZDA
  • 27 - MERCEDES-BENZ
  • 28 - MERCURY
  • 29 - MINI
  • 30 - MITSUBISHI
  • 31 - MORGAN
  • 32 - NISSAN
  • 33 - PONTIAC
  • 34 - PORCHE
  • 35 - RAM
  • 36 - ROVER
  • 37 - SATURN
  • 38 - SUBARU
  • 39 - TESLA
  • 40 - TOYOTA
  • 41 - VOLKSWAGEN
  • 42 - VOLVO

Model

Column 4 Integer value based on index of make's model:

  • BMW:
    • 1 Series
    • 2 Series
    • 3 Series
    • 4 Series
    • 5 Series
    • 6 Series
    • 7 Series
    • 8 Series
    • X1
    • X2
    • X3
    • X4
    • X5
    • X6
    • Z3
    • Z4
    • M2 PERFORMANCE
    • M2
    • M3
    • M4
    • M5
    • M6
    • M7
    • M8
    • I3
    • I8
    • E3
    • E4

Condition

Column 5 Integer value based on index of condition:

  • 0 - New
  • 1 - Like new
  • 2 - Excellent
  • 3 - Good
  • 4 - Fair
  • 5 - Salvage

Cylinders

Column 6 Integer value based on index of number of cylinders:

  • 0 - 3 cylinders
  • 1 - 4 cylinders
  • 2 - 5 cylinders
  • 3 - 6 cylinders
  • 4 - 8 cylinders
  • 5 - 10 cylinders
  • 6 - 12 cylinders
  • 7 - other

Gas type

Column 7

  • 0 - Gas
  • 1 - Diesel
  • 2 - Other
  • 3 - Electric
  • 4 - Hybrid

Odometer

Column 8 Currently untouched.

Title status

Column 9 Integer value based on index of title status:

  • 0 - Clean
  • 1 - Rebuilt
  • 2 - Salvage
  • 3 - Lien
  • 4 - Missing
  • 5 - Parts only

Transmission type

Column 10 Integer value based on index of transmission type:

  • 0 - Manual
  • 1 - Automatic
  • 2 - Other

Drive type

Column 11 Integer value based on index of drive type:

  • 0 - 4WD
  • 1 - FWD
  • 2 - RWD

Size

Column 12 Integer value based on index of car size

  • 0 - Compact
  • 1 - Sub-compact
  • 2 - Mid-size
  • 3 - Full-size

Car type

Column 13 Integer value based on index of car type: *

Color

Column 14 Integer value based on index of vehicle color:

  • 0 - Black
  • 1 - White
  • 2 - Silver
  • 3 - Brown
  • 4 - Blue
  • 5- Grey
  • 6 - Red
  • 7 - Custom
  • 8 - Purple
  • 9 - Yellow
  • 10 - Green
  • 11 - Orange

State

Column 15 Integer value based on index of state the vehicle was listed in:

  • 0 - AL
  • 1 - AK
  • 2 - AZ
  • 3 - AR
  • 4 - CA
  • 5 - CO
  • 6 - CT
  • 7 - DC
  • 8 - DE
  • 9 - FL
  • 10 - GA
  • 11 - HI
  • 12 - ID
  • 13 - IL
  • 14 - IN
  • 15 - IA
  • 16 - KS
  • 17 - KY
  • 18 - LA
  • 19 - ME
  • 20 - MD
  • 21 - MA
  • 22 - MI
  • 23 - MN
  • 24- MS
  • 25 - MO
  • 26 - MT
  • 27 - NE
  • 28 - NV
  • 29 - NH
  • 30 - NJ
  • 31 - NM
  • 32 - NY
  • 33 - NC
  • 34 - ND
  • 35 - OH
  • 36 - OK
  • 37 - OR
  • 38 - PA
  • 39 - RI
  • 40 - SC
  • 41 - SD
  • 42 - TN
  • 43 - TX
  • 44 - UT
  • 45 - VT
  • 46 - VA
  • 47 - WA
  • 48 - WV
  • 49 - WI
  • 50 - WY

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Comparison of various AI approaches for predicting the value of used vehicles. Data cleaning, parameter tuning, and result analysis are present.

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