Standard synthetic data generators often smooth over "spikes" in data because they view them as noise. Solidsquad-ssq, however, allows users to toggle . This is critical for fraud detection models; if you smooth out the fraud patterns, the model learns nothing. SSQ keeps the rare events intact while changing the actual identifiers. Solidsquad-ssq
is a decentralized cryptocurrency project operating primarily on the Solana blockchain. It functions as a community-driven token with a focus on utility, staking rewards, and long-term ecosystem development. Solidsquad-ssq
synthetic_data = engine.generate(n_rows=100000) ssq_score = engine.evaluate(your_sensitive_data, synthetic_data) print(f"Fidelity Score: ssq_score") # Typically >94% Solidsquad-ssq