Model Library

Statistical Engines

Every engine reports a confidence score with each result. No engine promises certainty — outputs are probabilistic estimates.

Statistical

Regression Analysis

Median confidence96%

Probabilistic

Monte Carlo Simulations

Median confidence98%

Probabilistic

Bayesian Analysis

Median confidence94%

Probabilistic

Markov Chains

Median confidence88%

Temporal

Time Series Forecasting

Median confidence91%

Temporal

ARIMA

Median confidence89%

Temporal

Prophet Forecasting

Median confidence90%

ML

Random Forests

Median confidence93%

ML

Gradient Boosting

Median confidence94%

ML

Neural Networks

Median confidence87%

Classification

Logistic Regression

Median confidence92%

Classification

Decision Trees

Median confidence90%

Unsupervised

K-Means Clustering

Median confidence88%

Unsupervised

Principal Component Analysis

Median confidence91%

Statistical

Correlation Analysis

Median confidence95%