hardware_metrics_xgboost_runraw.md

/home/acergn100_6/run_xgboost_with_monitoring.sh: line 35: python: command not found

Post-run GPU State

name, memory.total [MiB], driver_version, temperature.gpu, utilization.gpu [%], clocks.current.sm [MHz], clocks.current.memory [MHz] NVIDIA GB10, [N/A], 580.142, 42, 0 %, 2405 MHz, [N/A]

Post-run CPU Thermal

acpitz: 52C acpitz: 43C acpitz: 52C acpitz: 43C acpitz: 43C acpitz: 43C acpitz: 43C

GPU Utilization During Run (sampled every 2s)

Timestamp,Temp(C),GPU_Util(%),Mem_Util(%),Clock(MHz) 42,0,0,2405

Summary

Total runtime: 0s Peak GPU temp: 42C Peak GPU util: 0% [XGBoost] v3.2.0

XGBoost END-TO-END: Raw CSVs → Scores Raw data: /home/acergn100_6/smart-city-management/data/raw

── PHASE 1: LOAD RAW DATA ── [E5 Solar Readiness] → 4268 sites (0.02s) [E3 Electric Consumption] → 147 developments (1.90s) [E4 EV Stations] → 1322 stations (0.00s) [E7 LL84 Monthly (2.2M rows)] → 46543 properties (4.96s) [E10 Benchmarking] → 44613 properties (1.13s) [W1 Tonnage] → 59 districts (0.01s) [W2 311 Complaints] → 77 districts (11.33s) [W7 Compost] → 591 sites (0.00s) [W8 Transfer Stations] → 19 NYC stations (0.00s)

── BUILDING FEATURE MATRIX ── [BBL joins (E10)] → 0 matched (0.01s) [E7 energy join via BBL] → 3133 matched (0.03s) [District joins (W1+W2)] → 0 with waste data (0.00s) [Spatial: EV stations] → done (0.06s) [Spatial: Composting] → done (0.02s) [Spatial: Transfer stations] → done (0.00s)

Feature matrix: 4268 sites × 31 features

── PHASE 4: TRAIN & SCORE ── [XGBoost] GPU mode energy_score: 0.46s mean=44.2 range=[16, 99] waste_score: 0.23s mean=56.8 range=[31, 99] nexus_score: 0.23s mean=43.3 range=[19, 99]

── PHASE 5: SAVE RESULTS ──

[SAVED] /home/acergn100_6/smart-city-management/data/gold/ranked_sites_xgboost_raw.parquet — 4268 sites [SAVED] /home/acergn100_6/smart-city-management/data/gold/top50_xgboost_raw.json

[IMPORTANCE] Top 10 features for nexus_score: is_ej gain: 18252.2 solar_kwh gain: 1763.8 e7_avg_total gain: 285.9 roof_good gain: 237.9 ghg gain: 164.4 solar_savings gain: 154.5 sqft gain: 153.4 ev_1km gain: 150.7 boro_bronx gain: 146.3 nearest_compost_m gain: 88.2

TOP 10 (by Nexus Score): ─────────────────────────────────────────────────────────────────

1 E: 72 W: 95 N: 99 Staten Island Ocean Breeze Indoor Athletic Facili

2 E: 90 W: 85 N: 99 Bronx Public Safety Answering Center II

3 E: 87 W: 92 N: 99 Brooklyn K276

4 E: 79 W: 75 N: 99 Manhattan Life Family Shelter

5 E: 78 W: 95 N: 99 Queens Q042

6 E: 89 W: 76 N: 99 Manhattan M485

7 E: 99 W: 70 N: 99 Manhattan Henry J. Carter Hospital

8 E: 78 W: 88 N: 98 Brooklyn K422

9 E: 88 W: 79 N: 98 Bronx X036

10 E: 77 W: 81 N: 97 Manhattan M520

─────────────────────────────────────────────────────────────────

================================================================= COMPLETE — 21.0s total Data loading: 20.0s Training: 0.9s (3 models) Sites scored: 4268 Throughput: 204 sites/sec Features: 31

Post-run GPU State

name, memory.total [MiB], driver_version, temperature.gpu, utilization.gpu [%], clocks.current.sm [MHz], clocks.current.memory [MHz] NVIDIA GB10, [N/A], 580.142, 44, 66 %, 2528 MHz, [N/A]

Post-run CPU Thermal

acpitz: 57C acpitz: 46C acpitz: 57C acpitz: 45C acpitz: 47C acpitz: 46C acpitz: 48C

GPU Utilization During Run (sampled every 2s)

Timestamp,Temp(C),GPU_Util(%),Mem_Util(%),Clock(MHz) 42,0,0,2405 42,0,0,2405 43,0,0,2405 43,0,0,2405 43,0,0,2405 43,0,0,2405 43,0,0,2405 43,0,0,2405 43,0,0,2405 44,0,0,2405 44,0,0,2405

Summary

Total runtime: 21s Peak GPU temp: 44C Peak GPU util: 0%