A Review on Linear Regression Comprehensive in Machine Learning

Maulud, Dastan Hussen; Abdulazeez, Adnan Mohsin

doi:10.38094/jastt1457

Cited by 657 publications

(258 citation statements)

References 50 publications

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“…We conducted two experiments to evaluate the accuracy of two machine learning modelsprediction and classification-by changing polynomial degrees and data set features. [12] The first experiment aimed to find a machine learning model that predicts indoor humidity based on other environmental elements such as temperature and wind speed. This experiment compared and evaluated the accuracy of three models created with sixteen data sets using polynomial degrees of 1, 2, and 3, respectively, to determine which was the most optimal one.…”

Section: Methodsmentioning

confidence: 99%

An Intelligent System to Automate Humidity Monitoring and Humidifier Control using Internet-of-Things (IoT) and Artificial Intelligence

Zhang¹,

Sun²

2021

Computer Science and Information Technology Trends

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Air conditioners are widely used in family homes all over the world. However, the side effects of using air conditioners and dehumidification can cause health problems if people remain in lowhumidity environments. This paper traces the development of a software application and system to create an intelligent humidifier that automatically turns on or off for convenience or for those who cannot engage manual control. We applied our application to a humidifier for several days and conducted a qualitative evaluation of the approach. Results affirmed the usability and capacity of our automatic control system.

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Section: Methodsmentioning

confidence: 99%

An Intelligent System to Automate Humidity Monitoring and Humidifier Control using Internet-of-Things (IoT) and Artificial Intelligence

Zhang¹,

Sun²

2021

Computer Science and Information Technology Trends

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“…The KDD Cup-99 data set has been developed by the 1998 DARPA IDS validation data set processing of the TCPdump segment. This data set is prepared by Stolfo et al Of Lincoln Labs, U.S.A [32], [33]. DARPA-98 consists of approximately 4 gigabytes of compressed raw (binary) TCP-dump data from 7 weeks of network traffic, converted into approximately 5 million link logs, each containing about 100 bytes.…”

Section: Data Setsmentioning

confidence: 99%

Application of Machine Learning Approaches in Intrusion Detection System

Aziz

Abdulazeez

2021

JSCDM

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The rapid development of technology reveals several safety concerns for making life more straightforward. The advance of the Internet over the years has increased the number of attacks on the Internet. The IDS is one supporting layer for data protection. Intrusion Detection Systems (IDS) offer a healthy market climate and prevent misgivings in the network. Recently, IDS has been used to recognize and distinguish safety risks using Machine Learning (ML). This paper proposed a comparative analysis of the different ML algorithms used in IDS and aimed to identify intrusions with SVM, J48, and Naive Bayes. Intrusion is also classified. Work with the KDD-CUP data set, and their performance has been checked with the WEKA software. A comparison of techniques such as J48, SVM, and Naïve Bayes showed that the accuracy of j48 is the higher one which was (99.96%).

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“…The simple linear regression is inputted with only a single independent variable while MLR portray relationship for multiple independent variables. On the other hand, the polynomial regression differs significantly when compared to both MLR and simple linear regression in that it analyzes on a relationship modeled by nth degree polynomial while the former two regressions are modeled linearly [21][22]26].…”

Section: B Regressionmentioning

confidence: 99%

Untitled

2021

IJGCA

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Technological advancement has brought the masses unprecedented convenience, but unnoticed by many, a population neglected through the age of technology has been the visually impaired population. The visually impaired population has grown through ages with as much desire as everyone else to adventure but lack the confidence and support to do so. Time has transported society to a new phase condensed in big data, but to the visually impaired population, this quick-pace living lifestyle, along with the unpredictable nature of natural disaster and COVID-19 pandemic, has dropped them deeper into a feeling of disconnection from the society. Our application uses the global positioning system to support the visually impaired in independent navigation, alerts them in face of natural disasters, and reminds them to sanitize their devices during the COVID-19 pandemic.

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A Review on Linear Regression Comprehensive in Machine Learning

Cited by 657 publications

References 50 publications

An Intelligent System to Automate Humidity Monitoring and Humidifier Control using Internet-of-Things (IoT) and Artificial Intelligence

An Intelligent System to Automate Humidity Monitoring and Humidifier Control using Internet-of-Things (IoT) and Artificial Intelligence

Application of Machine Learning Approaches in Intrusion Detection System

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