On the interpretability of the SVM model for predicting infant mortality in Bangladesh by Md Abu Sayeed, Azizur Rahman, Atikur Rahman, Rumana Rois

“…Abstract Background Although machine learning (ML) models are well-liked for their outperformance in prediction, greatly avoided due to the lack of intuition and explanation of their predictions. …”
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Current preeclampsia prediction model and biomarker by Anak Agung Ngurah Jaya Kusuma

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Nonlinear Autoregressive Model for Stability and Prediction by Salim M. Ahmad, Anas S. Youns, Manal S. Hamdi

“…A proposed nonlinear autoregressive model was employed to predict daily new COVID-19 infections in Iraq. …”
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Grey Model for Stream Flow Prediction by Vishnu B, Syamala P

“…Statistical indices for the developed models indicate their ability to predict stream flow in the river under study with reasonable accuracy.…”
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ON DESIGN OF PREDICTIVE MODEL FOR HEART DISEASE by Soumyendu Bhattacharjee, Susmita Das, Sangita Roy, Arpita Santra, Anasuya Sarkar, Moumita Pa, Biswarup Neogi

Subjects: “…predictive model…”
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Data Visualization and Prediction Model Analysis by Hua Ziyi

“…The purpose of this paper is to study the application of data visualization and compare different prediction models. In this work, I present three different prediction models and apply them on the US airline industry datasets by using Python as the programming language. …”
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Machine Learning for Non-Destructive Prediction of Sunflower Leaf Area by Joao Everthon da Silva Ribeiro, Antonio Gideilson Correia da Silva, Pablo Henrique de Almeida Oliveira, Josiana Micarla da Silva Oliveira, Alessandra Nunes da Silva, John Victor Lucas Lima, Ivan Euzebio da Silva, Ester Dos Santos Coelho, Isaque de Oliveira Leite, Elania Freire da Silva, Toshik Iarley da Silva, Lindomar Maria da Silveira, Aurelio Paes Barros Junior

“…Therefore, the present study aimed to develop and compare linear regression models and machine learning algorithms for the non-destructive prediction of leaf area in four sunflower cultivars (BRS 323, Altis 99, Sany 66, and BRS 442). …”
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Agent‐based versus correlative models of species distributions: Evaluation of predictive performance with real and simulated data by Jukka Sirén, Panu Somervuo, Otso Ovaskainen

“…Mechanistic species distribution models may provide a significant advantage in prediction compared to more commonly used correlative models when predicting new environmental conditions. …”
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Functional Prediction of Hypothetical Proteins from and Validation of the Predicted Models by Using ROC Curve Analysis by Md. Amran Gazi, Sultan Mahmud, Shah Mohammad Fahim, Mohammad Golam Kibria, Parag Palit, Md. Rezaul Islam, Humaira Rashid, Subhasish Das, Mustafa Mahfuz, Tahmeed Ahmeed

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Enhanced Neutrosophic Set and Machine Learning Approach for Kidney Disease Prediction by Humam M Al-Doori, Tareef S Alkellezli, Ahmed Abdelhafeez, Mohamed Eassaa, Mohamed S. Sawah, Ahmed A El-Douh

“…The machine learning (ML) models are applied for KD prediction with higher accuracy and precision. …”
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Incorporating genotype information in a precise prediction model for platinum sensitivity in epithelial ovarian cancer by Nai-Yi Du, Yan Li, Hui Zheng, Ya-Kun Liu, Lu-Sha Liu, Jianbang Xie, Shan Kang

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Comparing the Estimation Power of Machine Learning Models and Statistical Models in Predicting Profit Component Changes and Selecting the Optimal Model by Maryam Izadi, Ali Ashtab, Akbar Zavari Rezaei

“…After confirming the non-normality of the average accuracy of machine learning and statistical models for profit components using the Kolmogorov-Smirnov test, the non-parametric Mann-Whitney U test was used to compare the predictive accuracy of machine learning models and statistical models in predicting the direction of changes in profit components. …”
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Determinants Factors in Predicting Life Expectancy Using Machine Learning by B. Kouame Amos, I. V. Smirnov

“…However, with the existence of various conditions and complications witnessed in society today, several factors need to be taken into consideration to predict life expectancy. Therefore, various machine learning models have been developed to predict life expectancy.   …”
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Neural Network-Based Model for Predicting Preliminary Construction Cost as Part of Cost Predicting System by Diana Car-Pusic, Silvana Petruseva, Valentina Zileska Pancovska, Zlatko Zafirovski

“…A model for early construction cost prediction is useful for all construction project participants. …”
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Corrigendum: Incorporating genotype information in a precise prediction model for platinum sensitivity in epithelial ovarian cancer by Nai-Yi Du, Yan Li, Hui Zheng, Ya-Kun Liu, Lu-Sha Liu, Jianbang Xie, Shan Kang

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Improving machine learning models through explainable AI for predicting the level of dietary diversity among Ethiopian preschool children by Gizachew Mulu Setegn, Belayneh Endalamaw Dejene

“…Methods To Improve the ML Model for Predicting the Level of Dietary Diversity among Ethiopian Preschool Children. …”
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Construction of Discrimination Models in Prediction of Bankruptcy if Polish Non-Public Enterprises by Bernard Kokczyński

Subjects: “…bankruptcy prediction models…”
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Selection of Failure Data in Software Reliability Modeling Based on RVM by Xiaoming Yang, Jungang Lou, Zhangguo Shen, Wenjun Hu

Subjects: “…software reliability predicting model…”
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Selection of Failure Data in Software Reliability Modeling Based on RVM by Xiaoming Yang, Jungang Lou, Zhangguo Shen, Wenjun Hu

Subjects: “…software reliability predicting model;relevance vector machine;kernel function;software failure data;Mann-Kendall test…”
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Prediction of mechanical behavior of friction stir welded joints of AA3003 aluminum alloy by Ismail Chekalil, Abdelkader Miloudi, Marie-Pierre Planche, Abdelkader Ghazi

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