Model evaluation and prediction using orange software, for example, machine learning classification

In this video, you will learn how to make predictions using different machine learning classifications such as SVM, neural network, and random forest. This video also highlights the model evaluation and prediction techniques using orange software. You will learn the confusion matrix of the models.
#SVM
#MachineLearninginOrange
#ModelPrediction
#ModelEvaluation
#NeuralNetwork

[@ilusoriob]

Thanks! Very clear explanation.

[@atanumanna5974]

The analysis is good. Orange is a beautiful software. I am also use it.

[@edhurtor]

Excellent!

[@SomeGuy-cw9rw]

I've used it and it's beautiful. But how in the heck to you take it from model to real data?

[@JKGMo1995]

thank you :)

[@SomeGuy-cw9rw]

I want to export the predictions but haven’t figured that out. Does anyone know how to do that?

[@srishivani.m9b294]

🎉

[@MIZRAIM1984]

hey, buddy. At 08:11 you deleted the correct link of SVM and kept discussing the confusion matrix by Random Forest (previous model) as if it was by SVM.

[@saurabh303]

If target value is not available. Then can orange be used if yes how????

[@mohdsajidkhan9255]

what is test and score results .... no explaination about setting what you did on test data .... what is going to work on remaining data .... you not connect test and score with reaminig data......