Baseline machine learning models for neuroimaging vectorized data: Neuroimaging Baseline Bot
Plug-and-play pipeline for classification models with adaptive grid-search, dimensionality reduction, model selection with extensive validation. Helpful for small samples with high-dimensional feature set, and written for classification on morphometrical or functional connectivity data in MRI studies. Yet suitable for all small samples with lots of correlated features.
Model validation includes repeated cross-validation, loo validation, and bootstrapping to ensure model stability.
Go to /tutorials/classification_linear_grid_tutorial for more details.
Pictured morprometry study in brain MR imaging. 