rust-vs-python-ml-bench/iris_svc_test_python_svm_training_results.json at main · RantAI-dev/rust-vs-python-ml-bench · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
{
  "framework": "scikit-learn",
  "language": "python",
  "task_type": "classical_ml",
  "model_name": "svc_svm",
  "dataset": "iris",
  "run_id": "test_python_svm",
  "timestamp": "2025-09-03T12:36:41.873929",
  "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": 0.002912612000727677,
    "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": 153.12890625,
    "average_memory_mb": 152.94140625,
    "peak_gpu_memory_mb": 0.0,
    "average_gpu_memory_mb": 0.0,
    "cpu_utilization_percent": 3.1,
    "gpu_utilization_percent": 0.0,
    "energy_consumption_joules": null,
    "network_io_mb": null
  },
  "quality_metrics": {
    "accuracy": 0.9666666666666667,
    "loss": null,
    "f1_score": 0.9665831244778613,
    "precision": 0.9696969696969696,
    "recall": 0.9666666666666667,
    "rmse": null,
    "mae": null,
    "r2_score": null,
    "perplexity": null,
    "episode_reward": null,
    "convergence_steps": null
  },
  "metadata": {
    "algorithm": "svc",
    "hyperparameters": {},
    "dataset_size": 150,
    "n_support_vectors": 47,
    "n_support": 47,
    "auc_roc": 0.9966666666666667,
    "auc_pr": 0.9939393939393938
  }
}