Exoplanet Data Analysis Dashboard
Real-time visualization of NASA KOI dataset
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Dataset Overview & Metrics
Comprehensive analysis of NASA's Kepler Objects of Interest database
S'kaiNet Neural Classification Engine
Advanced ensemble machine learning pipeline featuring XGBoost, Random Forest, and deep neural networks. Our AI engine analyzes orbital mechanics, photometric signatures, and stellar characteristics to achieve 87% accuracy in exoplanet detection and classification.
Primary Classification Analysis
Core statistical analysis of exoplanet classifications and distributions
Interactive Correlation Analysis
Advanced multi-dimensional analysis and feature relationships
Advanced Detection Metrics
Specialized analysis for planetary detection and system characteristics
Statistical & Correlation Analysis
Mathematical relationships and feature correlations in the dataset