The statistical analyses used were a multiple logistic regression, multiple correspondence analysis, principal component and hierarchical cluster analysis. Of the 320 samples analysed, 192 samples were positive for some of the investigated toxic agents, of which 100 were positive for ethanol and 131 ...
Second level statistical analysis, multiple regression, was applied to the Z-value of preprocessed images using SPM12 toolbox (https://www.fil.ion.ucl.ac.uk/spm/software/spm12/). The results were FWE corrected withp < 0.05 is classified as significant. The covariates used are age, sex...
Hence, the availability of these data allows the use of ML techniques to build regression models for blood glucose level prediction. Show abstract Short-term prediction of future continuous glucose monitoring readings in type 1 diabetes: Development and validation of a neural network regression model ...
The descriptions are useful if you would like to run on another task (e.g., regression instead of classification) or want to change the settings for RDA (e.g., number of blocks, minimum/maximum number of examples used, model training hyperparameters, etc.). ...
which are less sensitive to idiosyncratic noises than within-subject functional connectivity analysis typically used with resting-state data119,171. With this in mind, we used a modest confound regression model informed by the rich literature on confound regression for resting-state functional connectivit...
Nighttime light remote sensing has been an increasingly important proxy for human activities. Despite an urgent need for long-term products and pilot explorations in synthesizing them, the publicly available long-term products are limited. A Night-Time L
Using the method of regression analysis, based on the data from Supplementary Table S2, the authors determined the dependence of business risks on the totality of risk management tools, resulting in the selection of the most effective risk management tools. In this case, the economic sense of ...
For more information, please refer to https://www.mdpi.com/openaccess. Feature papers represent the most advanced research with significant potential for high impact in the field. A Feature Paper should be a substantial original Article that involves several techniques or approaches, provides an ...
OpenMIC-2018: An Open Data-set for Multiple Instrument Recognition ConvNet featuresfromTransfer learning for music classification and regression tasks ~10 posts Music Genre Classification With TensorFlow, Towards Data Science, 2020-08-11. Music Genre Classification: Transformers vs Recurrent Neural Network...
You can use train_test_split() to solve classification problems the same way you do for regression analysis. In machine learning, classification problems involve training a model to apply labels to, or classify, the input values and sort your dataset into categories. In the tutorial Logistic Re...