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

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

Subjects:

Iteration diagram of genetic algorithm. by 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. by 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. …”

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

Feature selection using Boruta algorithm. by 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. …”

Results of genetic algorithm tuning parameters. by 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 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... by 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>). by Creighton M. Lisowski (22756444)

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

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

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

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

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

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

Details of feature variables of the data set. by 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. by 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. by 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. …”

Bash script for downloading records using Feature Generator API. by Paul J. Albert (10515299)

Overview of features used. by David Kilroy (10661225)

“…To do this, we utilize Trending Customer Needs (TCN)—a monthly dataset of trending keyphrase customer needs occurring in new products during 2011-2021 across multiple categories of Consumer Packaged Goods e.g. toothpaste, eyeliner, beer, etc. …”