Receiver operating characteristic curve. حسب Tingting Tong (11993299)

"…This study introduces a predictive framework for learning achievement based on ensemble learning techniques. Specifically, six distinct machine learning models are utilized to establish a base learner, with logistic regression serving as the meta learner to construct an ensemble model for predicting learning achievement. …"

Related parameter settings of each model. حسب Tingting Tong (11993299)

"…This study introduces a predictive framework for learning achievement based on ensemble learning techniques. Specifically, six distinct machine learning models are utilized to establish a base learner, with logistic regression serving as the meta learner to construct an ensemble model for predicting learning achievement. …"

Feature frequency distribution histogram. حسب Tingting Tong (11993299)

"…This study introduces a predictive framework for learning achievement based on ensemble learning techniques. Specifically, six distinct machine learning models are utilized to establish a base learner, with logistic regression serving as the meta learner to construct an ensemble model for predicting learning achievement. …"

Pearson correlation heatmap. حسب Tingting Tong (11993299)

"…This study introduces a predictive framework for learning achievement based on ensemble learning techniques. Specifically, six distinct machine learning models are utilized to establish a base learner, with logistic regression serving as the meta learner to construct an ensemble model for predicting learning achievement. …"

Details of the dataset. حسب Tingting Tong (11993299)

"…This study introduces a predictive framework for learning achievement based on ensemble learning techniques. Specifically, six distinct machine learning models are utilized to establish a base learner, with logistic regression serving as the meta learner to construct an ensemble model for predicting learning achievement. …"

Model explanation through SHAP. حسب Tingting Tong (11993299)

"…This study introduces a predictive framework for learning achievement based on ensemble learning techniques. Specifically, six distinct machine learning models are utilized to establish a base learner, with logistic regression serving as the meta learner to construct an ensemble model for predicting learning achievement. …"

Learning achievement. حسب Tingting Tong (11993299)

"…This study introduces a predictive framework for learning achievement based on ensemble learning techniques. Specifically, six distinct machine learning models are utilized to establish a base learner, with logistic regression serving as the meta learner to construct an ensemble model for predicting learning achievement. …"

Comparison of results with the existing model. حسب Tingting Tong (11993299)

"…This study introduces a predictive framework for learning achievement based on ensemble learning techniques. Specifically, six distinct machine learning models are utilized to establish a base learner, with logistic regression serving as the meta learner to construct an ensemble model for predicting learning achievement. …"

Statistics of participants. حسب Tingting Tong (11993299)

"…This study introduces a predictive framework for learning achievement based on ensemble learning techniques. Specifically, six distinct machine learning models are utilized to establish a base learner, with logistic regression serving as the meta learner to construct an ensemble model for predicting learning achievement. …"

Research framework. حسب Tingting Tong (11993299)

"…This study introduces a predictive framework for learning achievement based on ensemble learning techniques. Specifically, six distinct machine learning models are utilized to establish a base learner, with logistic regression serving as the meta learner to construct an ensemble model for predicting learning achievement. …"

Positive predictive values (PPVs) of the register-based algorithms to identify individuals with poststroke epilepsy (PSE). All algorithms required (i) a diagnostic code for stroke... حسب André Idegård (22041446)

الموضوعات:

Code. حسب Shamsuz Zoha (22339469)

CY45-0.5/1#9 Code file for data processing and prediction results. حسب Yanhua Xian (21417128)

All data and code of the paper are freely and fully available at GitHub https://github.com/aleedelarica/XDRL-for-finance. حسب Alejandra de-la-Rica-Escudero (20570535)

Matlab code of a function used in S2 File. حسب Hiroko Kato Solvang (5718250)

LaZeTrack Code and Data حسب Adrien Lacroix (21765233)

S1 Data - حسب Wenbing Shi (5806160)

الموضوعات:

light-cone VQA code and data حسب Xiaoyang Wang (19730914)

"…<h3>Code and data for article "Performance guarantees of light-cone variational quantum algorithms for the maximum cut problem".…"

<b>Correction of the Code, Data and Figure files for Figure 3 of "Quantum-enhanced simulated annealing using Rydberg atoms"</b> حسب Seokho Jeong (20596511)

Covariate balance between the subsidised JKN and the uninsured populations. حسب Vishalie Shah (7301909)

الموضوعات: