These above plots have the basic description of the ACLED India datasets fatalities

1. Fatalities Prediction (Regression)
Key Metric: MAE = 0.06
What This Means:
– On average, the model’s predictions are off by **0.06 fatalities per event**
– Given data’s original fatality statistics:
– Mean = 0.048
– 75% of events have 0 fatalities
– Critical Insight:
The model is slightly worse than simply predicting 0 for all events (baseline MAE = 0.05). This suggests:
– The model struggles to predict rare high-fatality events
– Most predictions cluster near 0 fatalities