Comparison of regression-based and machine learning techniques to explain alpha diversity of fish communities in streams of central and eastern IndiaFreshwater fishArtificial neural networkLinear mixed modelsMu
regional and global impacts on climate1,2,3. Where these patterns reoccur over time, they are typically described as modes of variability (MoV)4. Prominent MoV include the El Niño-Southern Oscillation (ENSO), characterised by large changes in the upper ...
On the other hand, models that are easily interpretable, e.g., models in which parameters can be interpreted as feature weights (such as regression) or models that maximize a simple rule, for example reward-driven models (such as q-learning) lack the capacity to model a relatively complex ...
Linear/Logistic Regressionglassbox model SHAP Kernel Explainerblackbox explainer LIMEblackbox explainer Morris Sensitivity Analysisblackbox explainer Partial Dependenceblackbox explainer Train a glassbox model Let's fit an Explainable Boosting Machine
While preparing for interviews in Data Science, it is essential to clearly understand a range of machine learning models -- with a concise explanation for each at the ready. Here, we summarize various machine learning models by highlighting the main points to help you communicate complex models....
Back To Basics, Part Uno: Linear Regression and Cost Function Data Science An illustrated guide on essential machine learning concepts Shreya Rao February 3, 2023 6 min read Must-Know in Statistics: The Bivariate Normal Projection Explained Data Science Derivation and practical examples of this...
Layer-wise relevance propagation:Bach, Sebastian, et al. "On pixel-wise explanations for non-linear classifier decisions by layer-wise relevance propagation." PloS one 10.7 (2015): e0130140. Shapley regression values:Lipovetsky, Stan, and Michael Conklin. "Analysis of regression in game theory ap...
Generate synthetic image data by randomly including or excluding features. Each pixel in an excluded feature is replaced with the value of the average image pixel. Fit a regression model using the presence or absence of image features for each synthetic image as binary regression predictors for the...
The catch of butterfly kingfish Gasterochisma melampus, a large pelagic species in southern temperate waters, is strongly biased (73%) towards females. Whether this is caused by differences in sex-specific spatiotemporal distributions or mortality of sexes is investigated herein. Analysis of sex ...
An explicitly solvable and instructive case is the white band-limited RKHS with N equal nonzero eigenvalues, a special case of which is linear regression. Later, we will observe that the mathematical description of rotation invariant kernels on isotropic distributions reduces to this simple model in...