1 publication

• Published Subscription 23 Nov 2017

  A Review Paper on Comparison of Algorithms for Supervised Machine Learning

  By Abhishek Panjabi, Krupali H. Shah, Vyshali Lasitha, Param Pandya

  Abstract: AbstractSupervised learning attempts to create calculations that help deliver general speculations, which is able to do forecasts about future occasions. The objective of supervised learning is to manufacture a model of the segregation of class names in terms of predictor components. The classifier produced accordingly is then used to allocate class marks to the testing data where the estimations of the indicator elements are known, yet the estimation of the …

  Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 3, 2017 · pp. 11–16 Read article →