A Distributed Framework for Predictive Analytics Using Big Data and MapReduce Parallel Programming

<table class="algorithm-group"><tr><td><table class="algorithm" id="alg4"><tr><td> </td><td>Function REDUCE-1I (MAP-II output)</td></tr><tr><td> </td><td>   read &lt; Dataset_id, (y_predict, y_test)&gt;</td></tr><tr><td> </td><td>   for all the <i>z</i> partitions</td></tr><tr><td> </td><td>      compute MSE, RMSE, and determination coefficient (<i>R</i><sup>2</sup>) from y_predict and y_test</td></tr><tr><td> </td><td>   find the average value of MSE, RMSE, and determination coefficient (<i>R</i><sup>2</sup>)</td></tr><tr><td> </td><td>   output &lt; Dataset id, (MSE, RMSE, and determination coefficient (<i>R</i><sup>2</sup>)&gt;</td></tr><tr><td> </td><td>end</td></tr></table></td></tr></table>

<div> Reduce function of MapReduce-II</div>

Mathematical Problems in Engineering

alg4

Algorithm 4

Algorithm 4: A Distributed Framework for Predictive Analytics Using Big Data and MapReduce Parallel Programming 