ROC curve for binary classification. حسب Nicodemus Songose Awarayi (18414494)

"…The study introduced a scheme for enhancing images to improve the quality of the datasets. Specifically, an image enhancement algorithm based on histogram equalization and bilateral filtering techniques was deployed to reduce noise and enhance the quality of the images. …"

Confusion matrix for binary classification. حسب Nicodemus Songose Awarayi (18414494)

"…The study introduced a scheme for enhancing images to improve the quality of the datasets. Specifically, an image enhancement algorithm based on histogram equalization and bilateral filtering techniques was deployed to reduce noise and enhance the quality of the images. …"

Classification standard of highway tunnels. حسب Chunquan Dai (16819414)

Classification thresholds for assessment of technical status of civil structures. حسب Chunquan Dai (16819414)

Hair removal preprocessing using the DullRazor algorithm before image generation. حسب Mujung Kim (22367223)

Summary of the AdaBoost classification for the two exercises SDT and SLST. حسب Jindřich Adolf (17334216)

Usability of CART algorithm for determining egg quality characteristics influencing fertility in the eggs of Japanese quail حسب Şenol Çelik (12801984)

"…In the study, usability of classification and regression tree (CART) data-mining algorithm as a classification tree method is necessary for poultry breeders to define proper cut-off values of egg quality characteristics that ensure Japanese quail eggs at good quality in fertility. …"

The data processing and analysis pipeline. حسب Xin Zhang (35492)

Data XGBOOST. حسب Xin Zhang (35492)

"…Extreme Gradient Boosting (XGBoost), a machine learning algorithm, was employed for binary classification (low-moderate vs. high physical activity). …"

Table_1_Near infrared spectroscopy for cooking time classification of cassava genotypes.docx حسب Massaine Bandeira e Sousa (7866242)

"…Classification of genotypes was carried out using the K-nearest neighbor algorithm (KNN) and partial least squares (PLS) models. …"

Datasets and their properties. حسب Olaide N. Oyelade (14047002)

"…However, the underlying deficiency of the single binary optimizer is transferred to the quality of the features selected. …"

Parameter settings. حسب Olaide N. Oyelade (14047002)

"…However, the underlying deficiency of the single binary optimizer is transferred to the quality of the features selected. …"

DataSheet_1_Near infrared spectroscopy for cooking time classification of cassava genotypes.docx حسب Massaine Bandeira e Sousa (7866242)

"…Classification of genotypes was carried out using the K-nearest neighbor algorithm (KNN) and partial least squares (PLS) models. …"

Testing results for classifying AD, MCI and NC. حسب Nicodemus Songose Awarayi (18414494)

"…The study introduced a scheme for enhancing images to improve the quality of the datasets. Specifically, an image enhancement algorithm based on histogram equalization and bilateral filtering techniques was deployed to reduce noise and enhance the quality of the images. …"

Summary of existing CNN models. حسب Nicodemus Songose Awarayi (18414494)

"…The study introduced a scheme for enhancing images to improve the quality of the datasets. Specifically, an image enhancement algorithm based on histogram equalization and bilateral filtering techniques was deployed to reduce noise and enhance the quality of the images. …"

Data_Sheet_1_Improving Crowdsourcing-Based Image Classification Through Expanded Input Elicitation and Machine Learning.PDF حسب Romena Yasmin (12970919)

An intelligent decision-making system for embryo transfer in reproductive technology: a machine learning-based approach حسب Sanaa Badr (20628838)

Table 1_Non-obtrusive monitoring of obstructive sleep apnea syndrome based on ballistocardiography: a preliminary study.docx حسب Biyong Zhang (20906192)

"…</p>Results<p>Cross-validated on 32 subjects, the proposed approach achieved an accuracy of 71.9% for four-class severity classification and 87.5% for binary classification (AHI less than 15 or not).…"

Demonstration data on the set up of consumer wearable device for exposure and health monitoring in population studies حسب Antonis Michanikou (8996667)

"…The Variables included in the first three excel tabs were the following: Participant ID (Unique serial number for patient participating in the study), % Time Before (Percentage of time with data before protocol implementation), % Time After (Percentage of time with data after protocol implementation), Timestamp (Date and time of event occurrence), Indoor/Outdoor (Categorical- Classification of GPS signals to Indoor and Outdoor and null(missing value) based on distance from participant home), Filling algorithm (Imputation algorithm), SSID (Wireless network name connected to the smartwatch), Wi-Fi Signal Strength (Connection strength via Wi-Fi between smartwatch and home’s wireless network. (0 maximum strength), IMEI (International mobile equipment identity. …"

Table_1_Pan-Genomic and Polymorphic Driven Prediction of Antibiotic Resistance in Elizabethkingia.xlsx حسب Bryan Naidenov (6915392)

"…Using core-SNPs and pan-genes in combination with six machine learning (ML) algorithms, binary classification of clindamycin and vancomycin resistance achieved f1 scores of 0.94 and 0.84, respectively. …"