Classification algorithm implemented in SPARTA. by Baptiste Ruiz (20285217)

Histogram of classification the AUC indicators for classification after imputing the heart disease dataset. by Xing Chen (140292)

Overall flowchart of the algorithm. by Yu Fang (219603)

Subjects:

RF classification algorithm comparison before and after dataset expansion. by Chao Tang (10925)

Comparison of resnet classification algorithm before and after dataset expansion. by Chao Tang (10925)

State-of-the-Art Skin Disease Classification Using Ensemble Learning and Advanced Image Processing by Nirupama (22148684)

“…Therefore, this paper proposes a novel and reliable skin disease classification framework by integrating advanced preprocessing, feature extraction, and ensemble learning approaches to enhance diagnostic accuracy. …”

Steps of grasshopper optimisation algorithm. by Shakti Kundu (21445612)

Subjects: “…grasshopper optimisation algorithm…”

Accuracy of cross-prediction classification (PR-AUC) results using two classification algorithms for the two CRC datasets by Yu et al. [ by Xinyu Han (2237545)

Gender classification. by W. El Atifi (21625438)

Table 2_Intelligent grading of sugarcane leaf disease severity by integrating physiological traits with the SSA-XGBoost algorithm.docx by Xinrui Wang (488330)

“…After min-max normalization, six classification models—KNN, AdaBoost, Random Forest (RF), Logistic Regression (LR), Decision Tree (DT), and XGBoost—were developed, and the Sparrow Search Algorithm (SSA) was employed to optimize hyperparameters for enhanced performance.…”

Table 1_Intelligent grading of sugarcane leaf disease severity by integrating physiological traits with the SSA-XGBoost algorithm.xlsx by Xinrui Wang (488330)

“…After min-max normalization, six classification models—KNN, AdaBoost, Random Forest (RF), Logistic Regression (LR), Decision Tree (DT), and XGBoost—were developed, and the Sparrow Search Algorithm (SSA) was employed to optimize hyperparameters for enhanced performance.…”

Accuracy of cross-prediction classification (PR-AUC) results using two classification algorithms for the two T2D datasets by Qin et al. [ by Xinyu Han (2237545)

Predictive performance of algorithms for multiclass classification by serogroup of bacterial meningitis: weighted average per algorithm (AUC-ROC). by Audêncio Victor (10400699)

Comparison between different various models used for plant leaf disease detection and classification. by Abdullah Sheneamer (19169236)

Subjects:

MLP classification. by André G. Coimbra (21354135)

Subjects:

Comparison of ResNet Classification Algorithm Expansion Experiments with Similar Data Enhancement Models. by Chao Tang (10925)

Fuzzy rule algorithm for severity assessment. by Chatla Subbarayudu (21368330)

Predictive performance of algorithms for multiclass classification by serogroup of bacterial meningitis (AUC-ROC). by Audêncio Victor (10400699)

Naive Bayes classification. by André G. Coimbra (21354135)

Subjects:

Various skin diseases. by Shakti Kundu (21445612)

Subjects: “…grasshopper optimisation algorithm…”