Manufacturing of any alloy is not a simple process. Many complicated factors are involved in the making of a perfect alloy, from the temperature at which various metals are melted to the presence of impurities to the cooling temperature set to cool down the alloy. Very minor changes in any of these factors can affect the quality or grade of the alloy produced.
Given are 28 distinguishing factors in the manufacturing of an alloy, the objective is to build a Machine Learning model that can predict the grade of the product using these factors.
You are provided with 28 anonymized factors (f0 to f27) that influence the making of a perfect alloy that is to be used for various applications based on the grade/quality of the obtained product.
This is a beginner classfication dataset.
