Credit Card Fraud Classification Using Applied Machine Learning – A Comparative Study of 24 ML Algorithms حسب Kelechi Amamba (21022064)

"…<p dir="ltr">Credit Card Fraud Classification Using Applied Machine Learning – A Comparative Study of 24 ML Algorithms</p><p dir="ltr">This study describes an empirical evaluation of 24 machine learning models, including Logistic Regression, Decision Trees, Random Forests, Support Vector Machines and Neural Networks using a highly imbalanced fraud dataset that reflects the real-world where the data was culled from. …"

Flowchart of the framework of text classification algorithm for subordinate classes of tourist attractions. حسب Lu Xiao (314030)

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Statistical analysis of characteristics of the BRFSS_2015 data set. حسب Lang Deng (5681033)

Performance comparison of the same models of the different data set. حسب Lang Deng (5681033)

The POFIF-C samples from the real data sets. حسب Salem A. Alyami (10572611)

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Models outperformed by the model with same feature set but compressed, Bitcoin OTC dataset, fraction. حسب Agata Skorupka (20469080)

الموضوعات:

Models outperformed by the model with same feature set but compressed, Bitcoin Alpha dataset, fraction. حسب Agata Skorupka (20469080)

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The list of parameters of the modified data set for machine learning (<i>n</i> = 162). حسب Uğur Ejder (22683228)

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The grid settings near the manikin. حسب Feng Gao (3548)

"…Results show that under the comprehensive consideration of calculation accuracy, calculation time and memory occupancy, using sinusoidal expiratory boundary conditions combined with the PISO algorithm, with the RNG <i>k-ε</i> model during expiratory phase, and switching into the laminar flow during inspiratory phase, is the optimal strategy of simulating human breathing.…"

The effect of test set size and number of nodes on the values of confusion matrix using SVM combined with the uniform window. حسب Abeer Aljohani (18497914)

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Data augmentation. حسب Chunhua Yang (346871)

A study of Mandelbrot and Julia Sets via Picard–Thakur iteration with s-convexity - The raw data files used to obtain the plots in the paper حسب Bashir Nawaz (20917970)

Table 1_Early stroke detection through machine learning in the prehospital setting.xlsx حسب María Ríos Delgado (22004942)

T2-Flair model training process using labeled data. حسب Fengning Liang (20927493)

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T2-Flair model training process using all data. حسب Fengning Liang (20927493)

الموضوعات:

T2-Flair model training process using all data. حسب Fengning Liang (20927493)

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Data of the validation set with a sample size of 1000. حسب Liyu Lin (5760167)

Data of the validation set with a sample size of 500. حسب Liyu Lin (5760167)

Data of the validation set with a sample size of 200. حسب Liyu Lin (5760167)

Confusion matrix heat map of the test set in Shanghai and Hunan Province. حسب Lu Xiao (314030)

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