DATASET: Data-Driven Clinical Decision Trees and Generative Topographic Mapping to Guide Stroke Rehabilitation Program Allocation per Dimitrios-Sokratis Komaris (10266358)

Matèries: “…Classification and regression trees (CART)…”

ROC and PR–AUC curves of the ABC–LR–RF hybrid model for IVF outcome prediction. per Uğur Ejder (22683228)

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The accuracy score change matrix following model development. per Uğur Ejder (22683228)

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The comparison of the accuracy score of the benchmark and the proposed models. per Uğur Ejder (22683228)

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Top-performing model configuration and performance by algorithm type. per Uğur Ejder (22683228)

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The prediction accuracy of simple versus hybrid models. per Uğur Ejder (22683228)

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Flow diagram of the proposed model. per Uğur Ejder (22683228)

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The statistical description of the original data set of the patients (<i>n</i> = 162). per Uğur Ejder (22683228)

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Comparison of baseline and hybrid machine learning models in predicting IVF outcomes (%). per Uğur Ejder (22683228)

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The most effective active substances for subfertility treatment. per Uğur Ejder (22683228)

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Confusion matrix of the ABC–LR–RF hybrid model for IVF outcome prediction. per Uğur Ejder (22683228)

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The list of parameters of the modified data set for machine learning (<i>n</i> = 162). per Uğur Ejder (22683228)

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Flow diagram of the conversion of drugs into active substances. per Uğur Ejder (22683228)

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Calibration curve of the ABC–LR–RF hybrid model for IVF outcome prediction. per Uğur Ejder (22683228)

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