Prediction model of algal blooms using logistic regression and confusion matrix

Yun, Hong-won

doi:10.11591/ijece.v11i3.pp2407-2413

Cited by 17 publications

(14 citation statements)

References 25 publications

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“…This metric quantifies the proportion of true positive cases that the system was able to detect and is particularly important in environments where minimizing false negatives is a priority. In simpler terms, sensitivity is the measure of how many of the total positive samples are correctly classified as positive classes [25]. This perspective provides a detailed assessment of the system's (3)…”

Section: Sensitivitymentioning

confidence: 99%

Expert system for diagnosing learning disorders in children

Andrade-Arenas,

Yactayo-Arias

2024

IJECE

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Given the urgent need for early detection of learning disorders such as dysgraphia, dyslexia, and dyscalculia in children, this study aimed to evaluate an expert system developed in Python to facilitate early diagnosis of these disorders. The background highlights the importance of providing parents, educators, and health professionals with an effective tool for early detection of these disorders. In 21 simulated cases, the system showed impressive performance with an accuracy rate of 95%, a precision of 100%, a sensitivity of 93%, and a specificity of 100%. Furthermore, the acceptability evaluation, conducted with 15 parents selected by convenience sampling, showed a high level of satisfaction, with an overall mean of 4.78 and a standard deviation of 0.45, indicating consistency in responses. In conclusion, this study confirms the effectiveness of the expert system in the early diagnosis of learning disabilities, providing parents, educators, and health professionals with a valuable tool. Despite these encouraging results, the need for additional research is recognized to address limitations and improve the external validity of the system to ensure its widespread utility and adaptability in real clinical settings.

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Section: Sensitivitymentioning

confidence: 99%

Expert system for diagnosing learning disorders in children

Andrade-Arenas,

Yactayo-Arias

2024

IJECE

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“…Confusion matrix is an easy to use and effective tool to perform a data classification and easy to be able to determine the results of classification (Yun, 2021). The confusion matrix can be used to carry out a work evaluation of a model and can be used to determine the results of the data mining process.…”

Section: Confusion Matrixmentioning

confidence: 99%

Implementation of the Naïve Bayes Method to Determine Student Interest in Gaming Laptops

Nasution¹,

Dar²,

Nasution³

2023

SinkrOn

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The development of the times resulted in the development of technology to date. With the existence of technology, many people have used technology to help their daily activities. In this study, the author will discuss the technology that is often used by students to help them with their assignments, namely laptops. Laptop is a technology that has been widely used by students, teachers and the public. Having a laptop can make things easier. Until now, each laptop brand continues to develop their laptop production laptops with good specifications. Until now, almost all laptop brands have made gaming laptops that are actually intended for people-people who play games. But with good specifications, gaming laptops can also be used for daily activities. With an attractive design and good specifications, of course you can attract student and public interest in gaming laptops. Therefore the authors made a study of student interest in gaming laptops. With good design and specifications on gaming laptops, the author aims to classify the number of students who are interested and not interested in gaming laptops. The classification will be carried out using the Naïve Bayes method with the number of sample data used as many as 100 student data in data mining. The classification results obtained were 55 students (55% representation) interested in gaming laptops and 45 students (45% representation) had no interest in gaming laptops. The results show that not all students are interested in gaming laptops, even though they have laptops design and great specs.

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“…The confusion matrix is an easy and effective tool to use to show the performance of a Classification and is very easy to use to determine the results. (Yun, 2021) Confusion matrix can be used to evaluate the work results of a model and can be used to determine the results of a data mining. The confusion matrix has several calculations, namely as follows.…”

Section: Confusion Matrixmentioning

confidence: 99%

Application of the K-Means Clustering Agorithm to Group Train Passengers in Labuhanbatu

Indah

Sari

Dar

2023

SinkrOn

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Transportation is an activity of moving things such as humans, animals, plants and goods from one place to another. To be able to implement transportation, we need a means of transportation that suits our needs. For in Indonesia, people are more inclined to land transportation. That's because land transportation already has a lot of vehicles. Land transportation already has many vehicles that can be used, both for private and for the public. Each vehicle has its uses and risks as well. Therefore we will do a data cluster from the trains. We chose the train, because the risk from using the train is very small, meaning that there is a lot of public interest in trains. So we want to do a cluster on rail passengers. The cluster that we do is to group passenger data based on the similarity of passenger data. We will do the cluster using the K-Means method. The K-Means method is very suitable when used to perform a cluster. K-Means will process widgets that are made according to the needs of the research. So after we enter the method in the widget pattern, the widget will process it to output the results from the cluster that we created. The cluster process using the K-Means method will be applied using the orange application. After we apply it, the data will later be clustered, we will cluster data as many as 3 clusters. Then the incoming data will appear in clusters 1, 2 and 3, both from business and executive classes

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Prediction model of algal blooms using logistic regression and confusion matrix

Cited by 17 publications

References 25 publications

Expert system for diagnosing learning disorders in children

Expert system for diagnosing learning disorders in children

Implementation of the Naïve Bayes Method to Determine Student Interest in Gaming Laptops

Application of the K-Means Clustering Agorithm to Group Train Passengers in Labuhanbatu

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