Every time anyone builds ML models, the focus quickly moves from overall numbers and highly technical measures of model health to how confident we are in each predicted result. In essence, can my model reliably deliver accurate results across the board? Aggregate metrics such as accuracy, recall, precision, R2, and AUPRC/AUROC are often not enough…
Neural Spectrogram Heatmapis an AI cycle prediction indicator: a wavelet spectrogram of every market cycle, with machine learning neural networks that forecast the next highs and lows and keep score of how far their forecasts land.
Polygenic risk scores (PRSs) are used to predict disease risk from genetic variants. They usually incorporate the influence of hundreds to millions of genetic variants. However, their adoption for clinical decision making is currently low, partly because historical genome-wide association studies (GWASs) have overwhelmingly evaluated European cohorts, resulting in severe accuracy drops when applied to…
