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Artificial Intelligence and Machine Learning

Evaluation Activity (Evaluating Neural Network Models)

Your Task
Evaluate the Neural Network-predictive modelling capability in the Orange Data Mining Application.

Assessment Description
There has been a recent advent of Neural Networks including applications in deep learning. Analytics professionals can run basic Deep Learning applications via the browser and no-code platforms as the algorithms use hardware accessed via the cloud to provide the required performance.
In this assessment, you will be implementing an image classification model. using Orange Data Mining's image analytics toolbox. You will be provided with a dataset containing images.

Assessment Instructions

In class: Implementation. Use the Orange data mining software to perform both deep learning- based image classification and classical predictive analytics tasks.
Image Classification -Construct a predictive model using the Image Analytics widgets in Orange.
Re-analyse the Assessment 1 dataset using random forests and neural networks - Construct a predictive model using the RF and NN widgets in Orange.
In class: Report. Based on the Orange output, answer the accompanying questions in the assessment sheet on the prediction accuracies of the neural network and random forest models. You must use the Google Docs report template provided to you. You may use Generative AI (eg: chatGPT) to enhance your research.

Orange workflow file (.ows), via the file submission dropbox.