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synthetic_linear_linear_python_test_training_results.json
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62 lines (62 loc) · 1.66 KB
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{
"framework": "scikit-learn",
"language": "python",
"task_type": "classical_ml",
"model_name": "linear_regression",
"dataset": "synthetic_linear",
"run_id": "python_test",
"timestamp": "2025-09-03T13:04:24.852120",
"hardware_config": {
"cpu_model": "x86_64",
"cpu_cores": 16,
"cpu_threads": 16,
"memory_gb": 11.386898040771484,
"gpu_model": "NVIDIA GeForce RTX 3060 Laptop GPU",
"gpu_memory_gb": 6.0,
"storage_type": "NVMe SSD",
"storage_capacity_gb": 1000.0
},
"performance_metrics": {
"training_time_seconds": 0.0007398540001304355,
"inference_latency_ms": null,
"throughput_samples_per_second": null,
"convergence_epochs": null,
"tokens_per_second": null,
"latency_p50_ms": null,
"latency_p95_ms": null,
"latency_p99_ms": null
},
"resource_metrics": {
"peak_memory_mb": 155.11328125,
"average_memory_mb": 154.48828125,
"peak_gpu_memory_mb": 0.0,
"average_gpu_memory_mb": 0.0,
"cpu_utilization_percent": 97.45,
"gpu_utilization_percent": 0.0,
"energy_consumption_joules": null,
"network_io_mb": null
},
"quality_metrics": {
"accuracy": null,
"loss": null,
"f1_score": null,
"precision": null,
"recall": null,
"rmse": 0.10690066107982944,
"mae": 0.08467847379587028,
"r2_score": 0.9999997047756003,
"perplexity": null,
"episode_reward": null,
"convergence_steps": null
},
"metadata": {
"algorithm": "linear",
"hyperparameters": {},
"dataset_size": 1000,
"features": 20,
"cv_r2_mean": 0.9999997190135627,
"cv_r2_std": 3.442147015416116e-08,
"model_sparsity": 0.0,
"n_nonzero_coefficients": 20
}
}