Update README.md

5d45357e · Tarun Shrivas · 14b24a42 · 5d45357e
Commit 5d45357e authored Jan 22, 2019 by Tarun Shrivas
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-This *beginner* level data set has 1728 rows and 7 columns.
-Derived from simple hierarchical decision model, this database may be useful for testing constructive induction and structure discovery methods.
-The data set could be used to evaluate cars according to the attributes listed in the data dictionary below.
+This *intermediate* level data set was derived from a decision-making model which was originally developed for research on multi-attribute decision making. 
+Decision making involves selection between seemingly conflicting alternatives. 

-This data set is recommended for learning and practicing your skills in **exploratory data analysis**, **data visualization**, and **classification modelling techniques**. 
-Feel free to explore the data set with multiple **supervised** and **unsupervised** learning techniques. The Following data dictionary gives more details on this data set:
+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.         
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+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:

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 ### 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). 
+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:       
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+ Marko Bohanec (marko.bohanec '@' ijs.si) 
+ Blaz Zupan (blaz.zupan '@' ijs.si)    
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