Catalog

https://orbisapi.com/proxy/lift-and-gain-chart-calculator-api-cc29ac

Diagnose overfitting/underfitting from train/val accuracy gap, loss gap and parameter-to-sample ratio.

Recommend dimensionality reduction method (PCA, UMAP, t-SNE, LDA) from data type and purpose.

https://orbisapi.com/proxy/cox-regression-scorer-api-5ee8bc

Rank features by random forest importance with cumulative variance and low-importance elimination candidates.

Score survival analysis metrics: event rate, hazard rate, median survival and survival at key time percentiles.

Apply logistic regression coefficients to predict probabilities with odds ratios and accuracy scoring.

Score clustering quality using Davies-Bouldin index from labeled data points

Score clustering quality using Davies-Bouldin index from labeled data points. Returns Excellent-Poor rating.

https://orbisapi.com/proxy/pca-variance-explainer-api-448b19

Detect univariate anomalies using Z-score or IQR method with severity classification.

Calculate DPMO, sigma level, yield and improvement roadmap from defect counts or DPMO input.

Estimate Kaplan-Meier survival curves with confidence intervals from event and censoring data.

Calculate Cp, Cpk, Cpm process capability indices with DPMO, sigma level and Six Sigma grade.

Test Granger causality between two time series across multiple lags

Test Granger causality between two time series across multiple lags. Returns F-statistics per lag.

Calculate exponentially weighted moving averages with configurable alpha

Calculate exponentially weighted moving averages with configurable alpha. Includes MACD calculation.

Detect autocorrelation in time series using ACF, Durbin-Watson and significant lag identification.

Analyze SPC control charts with UCL/LCL, out-of-control detection, Nelson rules and Cpk calculation.

Calculate rolling mean, std dev, min, max, median and sum with configurable window size.

Test regression residuals for heteroscedasticity using variance ratio and residual correlation analysis.

Calculate Variance Inflation Factor per feature to detect multicollinearity in regression models.

https://orbisapi.com/proxy/information-gain-scorer-api-016608

Calculate mutual information and normalized MI between two variables with variation of information.

Calculate Shannon/natural/log10 entropy and normalized entropy for any categorical distribution.

Calculate precision-recall curve and AUC-PR with F-beta optimization at configurable beta value.