Performance metrics of various algorithms. by Pritam Chakraborty (9261302)

“…Initially, preference algorithms identify the most important features in various machine learning models, including logistic regression, K-nearest neighbor, decision tree, support vector machine (linear kernel), support vector machine ( RBF kernel), neural networks, etc. …”

Algorithm comparison - top performances. by Pritam Chakraborty (9261302)

“…Initially, preference algorithms identify the most important features in various machine learning models, including logistic regression, K-nearest neighbor, decision tree, support vector machine (linear kernel), support vector machine ( RBF kernel), neural networks, etc. …”

Ranking of features for each algorithm. by Pritam Chakraborty (9261302)

“…Initially, preference algorithms identify the most important features in various machine learning models, including logistic regression, K-nearest neighbor, decision tree, support vector machine (linear kernel), support vector machine ( RBF kernel), neural networks, etc. …”

Data Sheet 1_Fast forward modeling and response analysis of extra-deep azimuthal resistivity measurements in complex model.docx by Pan Zhang (206408)

Training, validation, and test mean squared error across 26 epochs, with the best validation performance at epoch 26. by Quxi Kuang (22493270)

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ROC curves for the training, validation, test, and combined datasets, illustrating the model’s classification performance. by Quxi Kuang (22493270)

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Error distribution of the proposed model for training, validation, and test datasets with zero error. by Quxi Kuang (22493270)

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Correlation between variables and cyber attack (label). by Quxi Kuang (22493270)

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The folder containing the code is provided as supportive documentation associated with this paper. by Quxi Kuang (22493270)

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Types of attacks and their descriptions. by Quxi Kuang (22493270)

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Confusion matrix. by Quxi Kuang (22493270)

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ROC curves for the training, validation, test, and combined datasets, illustrating the model’s classification performance. by Quxi Kuang (22493270)

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Reliability diagram for prediction of murmurs using HSMM confidence difference. by Andrew McDonald (2307400)

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Improved estimate of heart rate using RNN output. by Andrew McDonald (2307400)

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Confusion matrix for the cross-validated murmur detection task. by Andrew McDonald (2307400)

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Training and test performance of all the official entries on the clinical outcomes task. by Andrew McDonald (2307400)

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Separation of murmur, normal, and poor signal quality signals using HSMM confidences. by Andrew McDonald (2307400)

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Per-class results for the murmur detection task. by Andrew McDonald (2307400)

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Performance of different predictors on the clinical outcome task. by Andrew McDonald (2307400)

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Attributes classification based on MSD. by Tamer Abdel Latif Ali (21464041)