Rahim Rasool committed Jan 24, 2019 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 ``````Data Science Dojo
## Car Evaluation Data Set ### Predict acceptibility of a car --- ![](1190.jpg) --- `````` Rahim Rasool committed Feb 05, 2019 19 ``````This *beginner* level data set was derived from a decision-making model which was originally developed for research on multi-attribute decision making. `````` Rahim Rasool committed Jan 24, 2019 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 ``````Decision making involves selection between seemingly conflicting alternatives. The data set has 1728 rows and 7 columns in which car attributes such as price and technology are described across 6 attributes such as "Buying Price", "Maintenance", and "Safety" etc. There are multiple alternatives under each of the 6 attributes. Car's acceptability, the seventh attribute, is the outcome variable. This data set is recommended for learning and practicing your skills in **classification modelling techniques**. Feel free to explore the data set with multiple classification methods. The Following data dictionary gives more details on this data set: --- ### Data Dictionary | Column Position | Atrribute Name | Definition | Data Type | Example | % Null Ratios | |------------------- |---------------- |------------------------------------------------------------------------------------------- |------------- |------------------ |--------------- | | 1 | buying | Buying price of the car (v-high, high, med, low) | Qualitative | low, med, high | 0 | | 2 | maint | Price of the maintenance of car (v-high, high, med, low) | Qualitative | low, med, high | 0 | | 3 | doors | Number of doors (2, 3, 4, 5-more) | Qualitative | 2, 3, 4 | 0 | | 4 | persons | Capacity in terms of persons to carry (2, 4, more) | Qualitative | 2, 4, more | 0 | | 5 | lug_boot | The size of luggage boot (small, med, big) | Qualitative | small, med, big | 0 | | 6 | safety | Estimated safety of the car (low, med, high) | Qualitative | low, med, high | 0 | | 7 | class | Car acceptability (unacc: unacceptible, acc: acceptible, good: good, v-good: very good) | Qualitative | unacc, acc, good | 0 | --- ### Acknowledgement This data set has been sourced from the Machine Learning Repository of University of California, Irvine [Car Evaluation Data Set (UC Irvine)](https://archive.ics.uci.edu/ml/datasets/Car+Evaluation). The UCI page mentions following as the donor of the dataset: + Marko Bohanec (marko.bohanec '@' ijs.si) + Blaz Zupan (blaz.zupan '@' ijs.si) ``````