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These are the machine learning projects what I have done as part of udacity machine learning course and self learning

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MachineLearning Projects

Car Evaluation

Data Set Information:

Car Evaluation Database was derived from a simple hierarchical decision model originally developed for the demonstration of DEX, M. Bohanec, V. Rajkovic: Expert system for decision making. Sistemica 1(1), pp. 145-157, 1990.)

The model evaluates cars according to the following concept structure:

Car Evaluation is based on parameters

  • PRICE overall price
  • maint price of the maintenance
  • TECH technical characteristics
  • COMFORT comfort
  • Doors number of doors
  • persons capacity in terms of persons to carry
  • lug_boot the size of luggage boot
  • safety estimated safety of the car

Attributes:

  • buying: vhigh, high, med, low.
  • maint: vhigh, high, med, low.
  • doors: 2, 3, 4, 5more.
  • persons: 2, 4, more.
  • lug_boot: small, med, big.
  • safety: low, med, high.

To predict the car evaluation I have used adaboost classifer which have given 93% accuracy.

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These are the machine learning projects what I have done as part of udacity machine learning course and self learning

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