Aeronautical imaging model with soft margin support vector machine. حسب Dongchen Dai (13822355)

Iteration diagram of genetic algorithm. حسب Ke Peng (2220973)

"…The GA-XGBoost classifier was identified as the best solution for the customer churn problem. (3) Using Shapley values, we explain how each feature affects the model results, and analyze the features that have a high impact on the model prediction, such as the total number of transactions in the past year, the amount of transactions in the past year, the number of products owned by customers, and the total sales balance. …"

Genetic algorithm flow chart. حسب Ke Peng (2220973)

"…The GA-XGBoost classifier was identified as the best solution for the customer churn problem. (3) Using Shapley values, we explain how each feature affects the model results, and analyze the features that have a high impact on the model prediction, such as the total number of transactions in the past year, the amount of transactions in the past year, the number of products owned by customers, and the total sales balance. …"

The Lift curve with Support Vector Machine model. حسب Xuefei Lin (12219118)

الموضوعات:

Results of genetic algorithm tuning parameters. حسب Ke Peng (2220973)

"…The GA-XGBoost classifier was identified as the best solution for the customer churn problem. (3) Using Shapley values, we explain how each feature affects the model results, and analyze the features that have a high impact on the model prediction, such as the total number of transactions in the past year, the amount of transactions in the past year, the number of products owned by customers, and the total sales balance. …"

The spatial vector organization schematic. حسب Haiyan Zhang (176919)

List of relevant studies using DL and ML algorithms for skin cancer identification. حسب Ahmad Naeem (15246749)

Boxplots of the ARI and log<i>L</i>(Θ) for the emEM, RndEM and the proposed algorithm MRIPEM. حسب Jie You (42305)

Boxplots of the ARI and log<i>L</i>(Θ) for the emEM, RndEM and the proposed algorithm MRIPEM. حسب Jie You (42305)

Boxplots of the ARI and log<i>L</i>(Θ) for the emEM, RndEM and the proposed algorithm MRIPEM. حسب Jie You (42305)

Boxplots of the ARI and log<i>L</i>(Θ) for the emEM, RndEM and the proposed algorithm MRIPEM. حسب Jie You (42305)

Feature selection using Boruta algorithm. حسب Shayla Naznin (13014015)

"…</p><p>Methods</p><p>Multiple machine learning (ML) algorithms were applied to data from the 2022 Bangladesh Demographic Health Survey, including Random Forest, Decision Tree, K-Nearest Neighbors, Logistic Regression, Support Vector Machine, XGBoost, LightGBM and Neural Networks. …"

The 452 registrations of the 750 feature vectors after dimension reduction using the AI algorithm autoencoder, the 6 clusters obtained with the DBSCAN clustering algorithm are colo... حسب Gerhard Fritsch (405224)

Deep Spectral Clustering (DSC) Algorithm: A convolutional autoencoder (CAE) is trained on input image stack (<i>S</i>) to extract latent feature vectors (<i>LFV</i>). حسب Creighton M. Lisowski (22756444)

The comparison of different ML algorithms on EN dataset in group AB.s. حسب Hakimeh Khojasteh (16748091)

The main workflow of the proposed algorithm. حسب Xin Li (51274)

Details of feature variables of the data set. حسب Ke Peng (2220973)

"…The GA-XGBoost classifier was identified as the best solution for the customer churn problem. (3) Using Shapley values, we explain how each feature affects the model results, and analyze the features that have a high impact on the model prediction, such as the total number of transactions in the past year, the amount of transactions in the past year, the number of products owned by customers, and the total sales balance. …"

Summary chart of SHAP feature analysis. حسب Ke Peng (2220973)

"…The GA-XGBoost classifier was identified as the best solution for the customer churn problem. (3) Using Shapley values, we explain how each feature affects the model results, and analyze the features that have a high impact on the model prediction, such as the total number of transactions in the past year, the amount of transactions in the past year, the number of products owned by customers, and the total sales balance. …"

Chi-square test for selected features. حسب Ke Peng (2220973)

"…The GA-XGBoost classifier was identified as the best solution for the customer churn problem. (3) Using Shapley values, we explain how each feature affects the model results, and analyze the features that have a high impact on the model prediction, such as the total number of transactions in the past year, the amount of transactions in the past year, the number of products owned by customers, and the total sales balance. …"

The algorithm for the Transformer-DN model. حسب Liang Na (22226855)