Hugging Face's logo

xpertsystems
/
cyb003-baseline-classifier

Tabular Classification
PyTorch
cybersecurity
malware
malware-behaviour
sandbox-analysis
edr
synthetic-data
xgboost
baseline
Eval Results (legacy)
Model card Files
xet
 Community
cyb003-baseline-classifier
File size: 2,484 Bytes
c6a80e7
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
{
  "purpose": "With n=100 samples and 10 classes, single-seed metrics carry test-fold variance. Multi-seed evaluation gives a more reliable performance picture.",
  "seeds_evaluated": [
    42,
    7,
    13,
    17,
    23,
    31,
    45,
    99,
    123,
    200
  ],
  "per_seed": [
    {
      "seed": 42,
      "test_n_classes": 10,
      "accuracy": 0.9177777777777778,
      "macro_f1": 0.7780699645112974,
      "macro_roc_auc_ovr": 0.979171667321058
    },
    {
      "seed": 7,
      "test_n_classes": 10,
      "accuracy": 0.8988888888888888,
      "macro_f1": 0.7959031264581272,
      "macro_roc_auc_ovr": 0.9762003477988086
    },
    {
      "seed": 13,
      "test_n_classes": 10,
      "accuracy": 0.9077777777777778,
      "macro_f1": 0.7844193419282306,
      "macro_roc_auc_ovr": 0.9756039083537456
    },
    {
      "seed": 17,
      "test_n_classes": 10,
      "accuracy": 0.9055555555555556,
      "macro_f1": 0.7793567708150484,
      "macro_roc_auc_ovr": 0.9725864270053698
    },
    {
      "seed": 23,
      "test_n_classes": 10,
      "accuracy": 0.9011111111111111,
      "macro_f1": 0.7669056364325609,
      "macro_roc_auc_ovr": 0.9731577510354572
    },
    {
      "seed": 31,
      "test_n_classes": 10,
      "accuracy": 0.9055555555555556,
      "macro_f1": 0.7825811291140096,
      "macro_roc_auc_ovr": 0.9757878099386051
    },
    {
      "seed": 45,
      "test_n_classes": 10,
      "accuracy": 0.9211111111111111,
      "macro_f1": 0.8065645535880511,
      "macro_roc_auc_ovr": 0.9754272516460774
    },
    {
      "seed": 99,
      "test_n_classes": 10,
      "accuracy": 0.8822222222222222,
      "macro_f1": 0.7589855352578547,
      "macro_roc_auc_ovr": 0.9722896806606615
    },
    {
      "seed": 123,
      "test_n_classes": 10,
      "accuracy": 0.9088888888888889,
      "macro_f1": 0.7938334664931561,
      "macro_roc_auc_ovr": 0.9790976919379577
    },
    {
      "seed": 200,
      "test_n_classes": 10,
      "accuracy": 0.8977777777777778,
      "macro_f1": 0.7938099428748325,
      "macro_roc_auc_ovr": 0.9734976569094487
    }
  ],
  "aggregate": {
    "accuracy_mean": 0.9046666666666667,
    "accuracy_std": 0.010337514088544894,
    "accuracy_min": 0.8822222222222222,
    "accuracy_max": 0.9211111111111111,
    "macro_f1_mean": 0.7840429467473169,
    "macro_f1_std": 0.013493004664905476,
    "roc_auc_mean": 0.9752820192607189,
    "roc_auc_std": 0.0023415667609269276
  },
  "published_artifact_seed": 42
}