Comparative Study on Performance Evaluation of Eager versus Lazy Learning Methods
The major revenue in banking sector is generated long term deposits from customers. Many marketing strategies are implemented to target potential customers by examining their impacted characteristics for decision making. Therefore, machine learning as a scientific computing has drawn many interest in...
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| Format: | Article |
| Language: | English |
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Universitas Kristen Maranatha
2024-12-01
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| Series: | JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) |
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| Online Access: | https://journal.maranatha.edu/index.php/jutisi/article/view/9197 |
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| _version_ | 1850183872042500096 |
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| author | Selvi Lukman Jimmy Loekito Pin Panji Yapinus |
| author_facet | Selvi Lukman Jimmy Loekito Pin Panji Yapinus |
| author_sort | Selvi Lukman |
| collection | DOAJ |
| description | The major revenue in banking sector is generated long term deposits from customers. Many marketing strategies are implemented to target potential customers by examining their impacted characteristics for decision making. Therefore, machine learning as a scientific computing has drawn many interest in finding best potential customers especially in predicting whether a long term deposit is subscribed or not. In this research, lazy and eager learning of K-Nearest Neighbours (KNN) and Random Forest (RF) is compared. The computation procedure of the prediction makes a sharp distinction between them and accordingly, RF is proven to be more superior than KNN in the term of Accuracy as much as 96%, Precision 93% and F1 score 0.97. Therefore, the ultimate performance of RF relies on the ability to handle non-linearities and its resistance to overfitting makes RF a suitable choice for many predictive applications.
Keywords— Classification; Easy learning; Lazy Learning, Term Deposit |
| format | Article |
| id | doaj-art-915136348fe84ab9a2e018893b3af5a2 |
| institution | OA Journals |
| issn | 2443-2210 2443-2229 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Universitas Kristen Maranatha |
| record_format | Article |
| series | JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) |
| spelling | doaj-art-915136348fe84ab9a2e018893b3af5a22025-08-20T02:17:13ZengUniversitas Kristen MaranathaJuTISI (Jurnal Teknik Informatika dan Sistem Informasi)2443-22102443-22292024-12-0110342042910.28932/jutisi.v10i3.91978797Comparative Study on Performance Evaluation of Eager versus Lazy Learning MethodsSelvi Lukman0Jimmy Loekito1Pin Panji Yapinus2Universitas Bina NusantaraUniversitas Kristen MaranathaUniversitas Kristen MaranathaThe major revenue in banking sector is generated long term deposits from customers. Many marketing strategies are implemented to target potential customers by examining their impacted characteristics for decision making. Therefore, machine learning as a scientific computing has drawn many interest in finding best potential customers especially in predicting whether a long term deposit is subscribed or not. In this research, lazy and eager learning of K-Nearest Neighbours (KNN) and Random Forest (RF) is compared. The computation procedure of the prediction makes a sharp distinction between them and accordingly, RF is proven to be more superior than KNN in the term of Accuracy as much as 96%, Precision 93% and F1 score 0.97. Therefore, the ultimate performance of RF relies on the ability to handle non-linearities and its resistance to overfitting makes RF a suitable choice for many predictive applications. Keywords— Classification; Easy learning; Lazy Learning, Term Deposithttps://journal.maranatha.edu/index.php/jutisi/article/view/9197classificationeasy learninglazy learningterm deposit |
| spellingShingle | Selvi Lukman Jimmy Loekito Pin Panji Yapinus Comparative Study on Performance Evaluation of Eager versus Lazy Learning Methods JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) classification easy learning lazy learning term deposit |
| title | Comparative Study on Performance Evaluation of Eager versus Lazy Learning Methods |
| title_full | Comparative Study on Performance Evaluation of Eager versus Lazy Learning Methods |
| title_fullStr | Comparative Study on Performance Evaluation of Eager versus Lazy Learning Methods |
| title_full_unstemmed | Comparative Study on Performance Evaluation of Eager versus Lazy Learning Methods |
| title_short | Comparative Study on Performance Evaluation of Eager versus Lazy Learning Methods |
| title_sort | comparative study on performance evaluation of eager versus lazy learning methods |
| topic | classification easy learning lazy learning term deposit |
| url | https://journal.maranatha.edu/index.php/jutisi/article/view/9197 |
| work_keys_str_mv | AT selvilukman comparativestudyonperformanceevaluationofeagerversuslazylearningmethods AT jimmyloekito comparativestudyonperformanceevaluationofeagerversuslazylearningmethods AT pinpanjiyapinus comparativestudyonperformanceevaluationofeagerversuslazylearningmethods |