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Yash Vasudevayash@analysis.hub
YV

Cross-Report Analytics Hub

Comparative model performance, statistical variance, and trend correlations across published reports.

Published Reports
4
100% Validated
ML Models Trained
2 Models
Avg R² = 0.852 (CPI & Rainfall)
Data Points Analyzed
5.5M+
Observed Records
Historical Horizon
25 Years
2001 – 2026
Machine Learning Model Performance Comparison
Goodness of fit (R² Score) & Test Error across trained models
Category Focus & Report Distribution
Proportion of published analytical domains
Macro Trends Overlay: Annual Inflation vs Delhi Rainfall (2018–2025)
Comparing annual CPI YoY growth (%) against annual cumulative rainfall (mm)
Cross-Report Methodology & Benchmark Matrix
Performance metrics for ML trained models and domain statistics for exploratory studies
Report Title Domain Methodology / Algorithm Sample Size Model Metrics (R² / MAE) Primary Report Metric Status
India Crime Analysis (2001–2013) Crime Spatial Leaflet + Exploratory EDA 19 Datasets (36 States) N/A (Exploratory Study) 85.1% Judicial Backlog (94.6M) Completed
CPI Inflation Analysis Economics ARIMA(1,1,1) + Linear Reg 156 Months (2013-2025) R² = 0.8840 | MAE = 1.35 90% Cumulative CPI Rise Completed
Rainfall Analysis in Delhi Climate & Weather XGBoost Regressor (tweedie) 20,000+ Days (2018-2025) R² = 0.8200 | MAE = 1.83 mm 7,842 mm Max Rainfall Completed
IPL Performance Analysis (2019–2026) Sports Multi-Season EDA & Trajectory Analysis 25+ Datasets (102 Players) N/A (Exploratory Study) 31.9% Max Franchise Dependence (Buttler) Completed
Judicial & Social Dynamics
Public crime data reveals a 49.6% cumulative expansion in IPC crimes alongside an 85.1% trial backlog in courts, emphasizing systemic delays in justice delivery.
Seasonality & Economic Synchronization
Food inflation spikes in the CPI report closely track monsoon fluctuations, while spatial crime concentration highlights regional enforcement priorities.
Sports Performance & Franchise Risk
IPL analysis reveals severe franchise vulnerability when single-player run dependence exceeds 28% (e.g. RR 2019 at 31.9% and RCB 2023 at 31.4%), while trajectory modeling quantifies meteor arcs vs volume accumulators.