The prediction accuracy of simple versus hybrid models.

The prediction accuracy of simple versus hybrid models.

<p>The prediction accuracy of simple versus hybrid models.</p>

Kaydedildi:

Detaylı Bibliyografya
Yazar:	Uğur Ejder (22683228) (author)
Diğer Yazarlar:	Pınar Uskaner Hepsağ (22683231) (author)
Baskı/Yayın Bilgisi:	2025
Konular:	Biotechnology Ecology Cancer Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified small sample size lr &# 8211 evaluated using 5 assisted reproductive technologies artificial bee colony art ), yet address class imbalance support vector machine pharmaceutical supplement use enhance predictive performance abc hybrids outperformed abc hybrid counterparts local interpretable model abc hybrid model model performance supplement variables producing interpretable dietician support vitro fertilization synthetic minority studies rely sampling technique retrospective dataset regression tree random forest observed improvements nearest neighbors limited optimization influential features individual predictions improving prediction implemented alongside future studies four algorithms folic acid fold cross exploratory rather dietary data conventional algorithms concept study clinically directive binary representation baseline models algorithm models agnostic explanations accuracy ). 21 predictors
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

Benzer Materyaller

The comparison of the accuracy score of the benchmark and the proposed models.
Yazar:: Uğur Ejder (22683228)
Baskı/Yayın Bilgisi: (2025)

The accuracy score change matrix following model development.
Yazar:: Uğur Ejder (22683228)
Baskı/Yayın Bilgisi: (2025)

Comparison of baseline and hybrid machine learning models in predicting IVF outcomes (%).
Yazar:: Uğur Ejder (22683228)
Baskı/Yayın Bilgisi: (2025)

Confusion matrix of the ABC–LR–RF hybrid model for IVF outcome prediction.
Yazar:: Uğur Ejder (22683228)
Baskı/Yayın Bilgisi: (2025)

Calibration curve of the ABC–LR–RF hybrid model for IVF outcome prediction.
Yazar:: Uğur Ejder (22683228)
Baskı/Yayın Bilgisi: (2025)

ROC and PR–AUC curves of the ABC–LR–RF hybrid model for IVF outcome prediction.
Yazar:: Uğur Ejder (22683228)
Baskı/Yayın Bilgisi: (2025)

Top-performing model configuration and performance by algorithm type.
Yazar:: Uğur Ejder (22683228)
Baskı/Yayın Bilgisi: (2025)

The list of parameters of the modified data set for machine learning (<i>n</i> = 162).
Yazar:: Uğur Ejder (22683228)
Baskı/Yayın Bilgisi: (2025)

The statistical description of the original data set of the patients (<i>n</i> = 162).
Yazar:: Uğur Ejder (22683228)
Baskı/Yayın Bilgisi: (2025)

The most effective active substances for subfertility treatment.
Yazar:: Uğur Ejder (22683228)
Baskı/Yayın Bilgisi: (2025)

Flow diagram of the proposed model.
Yazar:: Uğur Ejder (22683228)
Baskı/Yayın Bilgisi: (2025)

Flow diagram of the conversion of drugs into active substances.
Yazar:: Uğur Ejder (22683228)
Baskı/Yayın Bilgisi: (2025)

Hospitals by region in Brazil, with a list of hospitals.
Yazar:: Roberta Moreira Wichmann (14259316)
Baskı/Yayın Bilgisi: (2025)

List of variables used to predict hospitalization mortality in the federated and local learning approaches.
Yazar:: Roberta Moreira Wichmann (14259316)
Baskı/Yayın Bilgisi: (2025)

Comparison of predictive performance between federated and local learning models.
Yazar:: Roberta Moreira Wichmann (14259316)
Baskı/Yayın Bilgisi: (2025)

Schematic visualization of the federated learning approaches.
Yazar:: Roberta Moreira Wichmann (14259316)
Baskı/Yayın Bilgisi: (2025)

Regional analysis of socioeconomic indicators and federated learning performance gain.
Yazar:: Roberta Moreira Wichmann (14259316)
Baskı/Yayın Bilgisi: (2025)

Raw performance metrics for the Random Forest (RF) model.
Yazar:: Roberta Moreira Wichmann (14259316)
Baskı/Yayın Bilgisi: (2025)

Raw performance metrics for the MLP model.
Yazar:: Roberta Moreira Wichmann (14259316)
Baskı/Yayın Bilgisi: (2025)

Raw performance metrics for the Logistic Regression (LR) model.
Yazar:: Roberta Moreira Wichmann (14259316)
Baskı/Yayın Bilgisi: (2025)

Evolution of the hyperparameter <i>t</i> in relation to the LR and MLP models.
Yazar:: Roberta Moreira Wichmann (14259316)
Baskı/Yayın Bilgisi: (2025)

Data for "Long-term surveillance of a woodland salamander community with a review of long-term field studies in plethodontids"
Yazar:: Richard Lehtinen (12908108)
Baskı/Yayın Bilgisi: (2025)

Category-level summary of genes with potentially distinct functions between Udai21 and Koshihikari.
Yazar:: Hiroki Ikeda (510280)
Baskı/Yayın Bilgisi: (2025)

Statistics for Udai21 pseudomolecule sequences.
Yazar:: Hiroki Ikeda (510280)
Baskı/Yayın Bilgisi: (2025)

Genome assembly and predicted gene BUSCO scores.
Yazar:: Hiroki Ikeda (510280)
Baskı/Yayın Bilgisi: (2025)

Genome assembly statistics for Udai21.
Yazar:: Hiroki Ikeda (510280)
Baskı/Yayın Bilgisi: (2025)

Classification of Udai21 and the World Rice Core Collection based on organelle genome data.
Yazar:: Hiroki Ikeda (510280)
Baskı/Yayın Bilgisi: (2025)

Classification of Udai21 and the World Rice Core Collection based on whole genome sequencing data.
Yazar:: Hiroki Ikeda (510280)
Baskı/Yayın Bilgisi: (2025)

Rice chromosome SNP density for five rice varieties.
Yazar:: Hiroki Ikeda (510280)
Baskı/Yayın Bilgisi: (2025)

Principal component analysis of Udai21 and the World Rice Core Collection.
Yazar:: Hiroki Ikeda (510280)
Baskı/Yayın Bilgisi: (2025)

Classification of Udai21 and the World Rice Core Collection based on ddRAD-Seq data.
Yazar:: Hiroki Ikeda (510280)
Baskı/Yayın Bilgisi: (2025)

Genes that functions were potentially distincted between Udai21 and Koshihikari.
Yazar:: Hiroki Ikeda (510280)
Baskı/Yayın Bilgisi: (2025)

Genes with high and moderate impact variants between Udai21 and Koshihikari.
Yazar:: Hiroki Ikeda (510280)
Baskı/Yayın Bilgisi: (2025)

Impact damage assessment of sandwich composite materials using non-destructive techniques
Yazar:: Tendai Chipanga (22571069)
Baskı/Yayın Bilgisi: (2025)

DATASET: Data-Driven Clinical Decision Trees and Generative Topographic Mapping to Guide Stroke Rehabilitation Program Allocation
Yazar:: Dimitrios-Sokratis Komaris (10266358)
Baskı/Yayın Bilgisi: (2025)

Resource and Environmental Carrying Capacity Assessment and Forecast Dataset and Code for Xuzhou City, China (2011–2023)
Yazar:: 楠姜 (21426950)
Baskı/Yayın Bilgisi: (2025)

Comparison of hierarchical classifier performance among four machine learning models for the early-loss, intermediate-loss, and late/no-loss groups.
Yazar:: Raiki Yoshimura (22676573)
Baskı/Yayın Bilgisi: (2025)

Comparison of multi-class classifier performance among four machine learning models for early-loss, intermediate-loss, and late/no-loss groups.
Yazar:: Raiki Yoshimura (22676573)
Baskı/Yayın Bilgisi: (2025)

Comparison of binary classifier performance among four machine learning models for early-loss, intermediate-loss, and late/no-loss groups.
Yazar:: Raiki Yoshimura (22676573)
Baskı/Yayın Bilgisi: (2025)

Comparison of performance of four machine learning models for long-term graft loss prediction.
Yazar:: Raiki Yoshimura (22676573)
Baskı/Yayın Bilgisi: (2025)

Cannot write session to /tmp/vufind_sessions/sess_4mo18saack6tik03it11l5417m