Ensemble GradientBoost for increasing classification accuracy of credit scoring

Lawi, Armin; Aziz, Firman; Syarif, Syafruddin

doi:10.1109/caipt.2017.8320700

Cited by 21 publications

(7 citation statements)

References 19 publications

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“…Supervised learning is the machine-learning task of learning a function that maps an input to an output on the basis of a labeled training set. There are numerous supervised learning algorithms, including linear regression, decision tree, random forest, k-nearest neighbor, logistic regression, naive Bayesian, GradientBoost, and adaptive boosting . Unsupervised learning is a type of machine learning that makes use of non-human-labeled data to analyze the internal structure of data sets for cluster analysis.…”

Section: Prospectsmentioning

confidence: 99%

Advanced Application of Raman Spectroscopy and Surface-Enhanced Raman Spectroscopy in Plant Disease Diagnostics: A Review

Weng

Wang

et al. 2021

J. Agric. Food Chem.

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Plant diseases result in 20–40% of agricultural loss every year worldwide. Timely detection of plant diseases can effectively prevent the development and spread of diseases and ensure the agricultural yield. High-throughput and rapid methods are in great demand. This review investigates the advanced application of Raman spectroscopy (RS) and surface-enhanced Raman spectroscopy (SERS) in the detection of plant diseases. The determination of bacterial diseases and stress-induced diseases, fungal diseases, viral diseases, pests in beans, and mycotoxins related to plant diseases using RS and SERS are discussed in detail. Then, biomarkers for RS and SERS detection are analyzed with regard to plant disease diagnosis. Finally, the advantages and challenges are further illustrated. Additionally, potential alternatives are proposed for the challenges. The review is expected to provide a reference and guidance for the use of RS and SERS in plant disease diagnostics.

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Section: Prospectsmentioning

confidence: 99%

Advanced Application of Raman Spectroscopy and Surface-Enhanced Raman Spectroscopy in Plant Disease Diagnostics: A Review

Weng

Wang

et al. 2021

J. Agric. Food Chem.

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“…After the simulation process with various input values using the Kleijnen approach [9], it was found that the application of decision trees to the data generated gave new insights and resulted in an accuracy rate of 80%. Some ensemble research conducted by [10]- [13] with several cases finding that the ensemble technique succeeded in increasing the performance of a single classification in measuring accuracy, precision, and recall.…”

Section: Introductionmentioning

confidence: 99%

Increasing electrical grid stability classification performance using ensemble bagging of C4.5 and classification and regression trees

Aziz

Lawi

2022

IJECE

Self Cite

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<span>The increasing demand for electricity every year makes the electricity infrastructure approach the maximum threshold value, thus affecting the stability of the electricity network. The decentralized smart grid control (DSGC) system has succeeded in maintaining the stability of the electricity network with various assumptions. The data mining approach on the DSGC system shows that the decision tree algorithm provides new knowledge, however, its performance is not yet optimal. This paper poses an ensemble bagging algorithm to reinforce the performance of decision trees C4.5 and classification and regression trees (CART). To evaluate the classification performance, 10-fold cross-validation was used on the grid data. The results showed that the ensemble bagging algorithm succeeded in increasing the performance of both methods in terms of accuracy by 5.6% for C4.5 and 5.3% for CART.</span>

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“…Although hybrid models combining two or more methods usually provide even higher classification accuracy (Lawi, et al, 2017) (Haoting, et al, 2018) (Hsieh, 2005), they are not included in this method assessment because they are more complex to implement and have low repeatability and incidence among studies. The ACC for each method is calculated using the arithmetic mean.…”

Section: Research Results and Discussionmentioning

confidence: 99%

“…Wise and sound lending by creating an effective borrower solvency assessment model can help lending companies improve their lending decisions and achieve higher profits , and it would also make it possible to reduce loans interest rates. Both parametric (Bakker & Odundo, 2019) and non-parametric (Tripathi, et al, 2021) methods can be used to assess the solvency of borrowers, as well as hybrid models with a combination of several methods (Lawi, et al, 2017) . Based on several studies, regression is one of the most used data mining algorithms that provide high accuracy of solvency determination (Zhou, et al, 2006) (Kleissner, 1998) (Schebesch & Stecking, 2005).…”

Section: Introductionmentioning

confidence: 99%

International Scientific Conference “New Challenges in Economic and Business Development – 2022: Responsible Growth” : Proceedings

2022

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The global aviation sector has never had a greater crisis than what it is experiencing during the COVID-19 pandemic. While passenger numbers are growing, COVID-19 remains a threat. This interdisciplinary study maps airport passenger services digitalization research referring to passenger satisfaction. The study tracks the influence of touchless airport services, as well as global pandemic COVID-19, focusing on the safety and encouragement of airport passengers. Study aims to identify a gap between the level of expectation and satisfaction of Riga International Airport (RIX) passengers. An empirical survey was conducted on passengers who have experience of using airport services prior to and during the COVID-19. In total, 1315 questionnaires were analysed by employing a SERVQUAL model. This study can be used to create policy recommendations in order to implement the safety measures and other types of airport services focusing on further improvement during and after COVID-19. Article concludes that COVID-19 changed passenger habits significantly, it left long lasting impact on confidence, and willingness to travel has been tempered by concerns over the risks of catching COVID-19. The lessons learned of COVID-19 require accelerating new processes with less face-to-face (F2F) contact enabling and encouraging all passengers, despite age, gender, education, race, disability or other personal qualities, the right having safe and user-friendly services.

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Ensemble GradientBoost for increasing classification accuracy of credit scoring

Cited by 21 publications

References 19 publications

Advanced Application of Raman Spectroscopy and Surface-Enhanced Raman Spectroscopy in Plant Disease Diagnostics: A Review

Advanced Application of Raman Spectroscopy and Surface-Enhanced Raman Spectroscopy in Plant Disease Diagnostics: A Review

Increasing electrical grid stability classification performance using ensemble bagging of C4.5 and classification and regression trees

International Scientific Conference “New Challenges in Economic and Business Development – 2022: Responsible Growth” : Proceedings

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