Tag: Cross-validation

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Recent Related Articles to Cross-validation

Why Is Data Validation Important? - Amplitude, Inc. - MarketScreener

Added to Collection on: 2022-12-18 03:54:28

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Articles
Business
Data quality
Pharmaceutical industry
Validity
Clinical data management
Quality
Validation
Data validation
Cross-validation
Data cleansing

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Predicting graft failure in pediatric liver transplantation based on early biomarkers using ...

Added to Collection on: 2022-12-27 10:32:08

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Statistical inference
Statistics
Model selection
Probability and statistics
Machine learning
Computational statistics
Estimation theory
Regression analysis
Cross-validation
Linear regression
Feature selection
Lasso

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Predicting early breast cancer recurrence from histopathological images in the Carolina ...

Added to Collection on: 2023-11-11 19:01:34

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Computational neuroscience
Machine learning
Statistical classification
Cross-validation
Model selection
Support vector machine
Convolutional neural network
Training, validation, and test data sets
Artificial neural network

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External Validation of Machine Learning and EEG for Continuous Pain Intensity Prediction in ...

Added to Collection on: 2023-11-13 22:15:12

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Neurotechnology
Brain–computer interfacing
Electroencephalography
Electrophysiology
Neurophysiology
Validation
Machine learning
Regression analysis
Cross-validation

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Machine learning approaches for estimating interfacial tension between oil/gas and oil/water systems

Added to Collection on: 2024-01-09 17:23:08

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Machine learning
Robust statistics
Summary statistics
Data mining
4
Quartile
Root-mean-square deviation
Interquartile range
Anomaly detection
Outlier
Cross-validation
Artificial neural network

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Data-driven models for the prediction of coronary atherosclerotic plaque progression/regression

Added to Collection on: 2024-01-17 15:45:20

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Model selection
Business intelligence
Intravascular ultrasound
Medical ultrasonography
Statistical models
Regression analysis
Cross-validation
Feature selection
Predictive modelling
Prediction
Machine learning
Pullback

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Comparison of the effects of imputation methods for missing data in predictive modelling of ...

Added to Collection on: 2024-02-16 12:29:07

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Missing data
Imputation
Regression analysis
Data set
Root-mean-square deviation
Statistics
Cross-validation
Bootstrapping
Categorical variable
Mean squared error
Predictive mean matching
Analysis of clinical trials

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DCGAN-DTA: Predicting drug-target binding affinity with deep convolutional generative ...

Added to Collection on: 2024-05-09 13:39:26

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Medicinal chemistry
Mean squared error
Cross-validation
BindingDB
Quantitative structure?activity relationship
Regression analysis
DTA

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A Solution to Leakage in Applied Machine Learning | Built In

Added to Collection on: 2024-11-06 15:54:00

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Machine learning
Model selection
Validity
Leakage
Statistical classification
Cross-validation
Training, validation, and test data sets
Data pre-processing
Feature selection
Imputation
Statistical model validation
Leak
Sayash Kapoor
Arvind Narayanan

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Predicting the compressive strength of high-performance concrete using an interpretable ... - Nature

Added to Collection on: 2024-11-16 16:08:15

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Machine learning
Model selection
Hyperparameter
Root mean square deviation
Mean absolute percentage error
Similarity
Cross-validation
Neural network
Errors and residuals
Compressive strength

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