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

Предметы:

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

Предметы:

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

Предметы:

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

Предметы:

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

Предметы:

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

Предметы:

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

Предметы:

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

Предметы:

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

Предметы:

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

Предметы:

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

Предметы:

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

Предметы:

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

Предметы: