Visual Programming with orange tool In this particular blog, we will discuss more features of the Orange tool. To learn the basics of Orange Tool then see my previous blog named Getting started with Orange Tool. In this blog, I will show how to split our data into training data and testing data in Orange, how to use cross-validation in Orange. Creating the workflow: First, we use the File widget in the canvas and load the inbuilt titanic dataset in the workflow. Next, send the input data to the widget Data Sampler . Data Sampler selects a subset of data instances from an input data set. It outputs a sampled and a complementary data set (with instances from the input set that is not included in the sampled data set). The output is processed after the input data set is provided and Sample Data is pressed. Here I sampled the data 70% output sampled data and 30% will be complementary data set. Now send the sample data from Data Sampler...