The challenges of interpreting ANOVA by dermatologists

Mahajan, Rahul; Kishore, Kamal; Jaswal, Vidushi

doi:10.4103/idoj.idoj_307_21

Indian Dermatol Online J

2022

DOI: 10.4103/idoj.idoj_307_21

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The challenges of interpreting ANOVA by dermatologists

Rahul Mahajan

Kamal Kishore

Vidushi Jaswal³

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Cited by 4 publications

(2 citation statements)

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“…The two-way ANOVA Table, with the individual and interaction effect of LR (column) and BS (rows)[30].…”

mentioning

confidence: 99%

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Interactive Effect of Learning Rate and Batch Size to Implement Transfer Learning for Brain Tumor Classification

et al. 2023

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For classifying brain tumors with small datasets, the knowledge-based transfer learning (KBTL) approach has performed very well in attaining an optimized classification model. However, its successful implementation is typically affected by different hyperparameters, specifically the learning rate (LR), batch size (BS), and their joint influence. In general, most of the existing research could not achieve the desired performance because the work addressed only one hyperparameter tuning. This study adopted a Cartesian product matrix-based approach, to interpret the effect of both hyperparameters and their interaction on the performance of models. To evaluate their impact, 56 two-tuple hyperparameters from the Cartesian product matrix were used as inputs to perform an extensive exercise, comprising 504 simulations for three cutting-edge architecture-based pre-trained Deep Learning (DL) models, ResNet18, ResNet50, and ResNet101. Additionally, the impact was also assessed by using three well-known optimizers (solvers): SGDM, Adam, and RMSProp. The performance assessment showed that the framework is an efficient framework to attain optimal values of two important hyperparameters (LR and BS) and consequently an optimized model with an accuracy of 99.56%. Further, our results showed that both hyperparameters have a significant impact individually as well as interactively, with a trade-off in between. Further, the evaluation space was extended by using the statistical ANOVA analysis to validate the main findings. \({F}\)—test returned with \({p < 0.05}\), confirming that both hyperparameters not only have a significant impact on the model performance independently, but that there exists an interaction between the hyperparameters for a combination of their levels.

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“…The two-way ANOVA Table, with the individual and interaction effect of LR (column) and BS (rows)[30].…”

mentioning

confidence: 99%

“…The dataset sample (the ResNet model's performances (accuracies) with SGDM) organized for ANOVA statistics[30].…”

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confidence: 99%

Interactive Effect of Learning Rate and Batch Size to Implement Transfer Learning for Brain Tumor Classification

et al. 2023

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Effect of auxiliary geometric devices on the accuracy of intraoral scans in full-arch implant-supported rehabilitations: An in vitro study

Canullo,

Pesce,

Caponio

et al. 2024

Journal of Dentistry

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Comparing the technological pedagogical content knowledge-practical proficiency of novice and experienced life sciences teachers

Ramnarain,

Malope

2023

SAJE

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The purpose of this study was to assess and compare the technological pedagogical content knowledge-practical (TPACK-Practical) proficiency of novice and experienced South African life sciences teachers. A quantitative design was followed and 155 life sciences teachers participated. A 17-item questionnaire was administered to establish the TPACK-P proficiency levels of the life sciences teachers. Five TPACK-P proficiency levels were identified based on the questionnaire responses, namely: level 0 (lack of use of information communications technology [ICT]); level 1 (basic understanding of ICT use); level 2 (simple adoption of ICT use); level 3 (infusive application of ICT); and level 4 (reflective application of ICT use). The ANOVA test showed that there was no significant difference between the TPACK-P proficiency of novice and experienced teachers. Based on responses to the questionnaire, the majority of the teachers who participated in the study demonstrated level 3 proficiency. A small percentage of teachers displayed levels 1, 2, and 4 proficiencies across the groups. We conclude with a recommendation for professional development to support the teachers’ TPACK-P better. The purpose of such a professional development programme should be to instil a deeper appreciation of ICT within life sciences teachers and to capacitate them to integrate ICT during their classroom practice, ultimately conducting lessons that are more meaningful to the learners.

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The challenges of interpreting ANOVA by dermatologists

Cited by 4 publications

References 9 publications

Interactive Effect of Learning Rate and Batch Size to Implement Transfer Learning for Brain Tumor Classification

Interactive Effect of Learning Rate and Batch Size to Implement Transfer Learning for Brain Tumor Classification

Effect of auxiliary geometric devices on the accuracy of intraoral scans in full-arch implant-supported rehabilitations: An in vitro study

Comparing the technological pedagogical content knowledge-practical proficiency of novice and experienced life sciences teachers

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