Uploaded November 2020 | Updated September 2026, 2 weeks ago
In this video I give a quick introduction to modelling with Orange using a logistic regression model and a random forest model.
Orange allows for quick and easy data analysis. It can be used as your definitive analysis or as a first look at your data, before you take a deeper dice using Python.
After importing the data, I take a look at descriptive statistics and visualizing the data. I create both types of models and compare them looking at the AUC of the ROC curve, as well as using a confusion matrix.
Orange allows you to simply drag nodes onto a canvas to do all your analysis. Give it a try.
In this video I give a quick introduction to modelling with Orange using a logistic regression model and a random forest model.
Orange allows for quick and easy data analysis. It can be used as your definitive analysis or as a first look at your data, before you take a deeper dice using Python.
After importing the data, I take a look at descriptive statistics and visualizing the data. I create both types of models and compare them looking at the AUC of the ROC curve, as well as using a confusion matrix.
Orange allows you to simply drag nodes onto a canvas to do all your analysis. Give it a try.
