Get fairness metrics

get/models/{modelId}/fairnessMetrics
Internal-Use Only

Returns the fairness metrics that are associated with the specified model ID.

Request Samples

1

Response Samples

1{
2 "items": {
3 "VariableName": [
4 {
5 "mce": {
6 "label": "Misclassification Rate",
7 "value": 0.07420815
8 },
9 "mcll": {
10 "label": "Multi-Class Log Loss",
11 "value": 0.19954976
12 },
13 "tpr": {
14 "label": "True Positive Rate",
15 "value": 0.41747573
16 },
17 "ks": {
18 "label": "KS (Youden)",
19 "value": 0.6539542
20 },
21 "ase": {},
22 "rase": {},
23 "predictedEvent": {
24 "label": "Average Prediction for Event",
25 "value": 0.11574166
26 },
27 "avgyhat": {},
28 "nobs": {
29 "label": "Number of Observations",
30 "value": 1105
31 },
32 "level": {
33 "label": "Variable Level",
34 "value": "Female"
35 }
36 },
37 {
38 "mce": {
39 "label": "Misclassification Rate",
40 "value": 0.2026964
41 },
42 "mcll": {
43 "label": "Multi-Class Log Loss",
44 "value": 0.4360413
45 },
46 "tpr": {
47 "label": "True Positive Rate",
48 "value": 0.606461
49 },
50 "ks": {
51 "label": "KS (Youden)",
52 "value": 0.5439809
53 },
54 "ase": {},
55 "rase": {},
56 "predictedEvent": {
57 "label": "Average Prediction for Event",
58 "value": 0.32324785
59 },
60 "avgyhat": {},
61 "nobs": {
62 "label": "Number of Observations",
63 "value": 2151
64 },
65 "level": {
66 "label": "Variable Level",
67 "value": "Male"
68 }
69 }
70 ]
71 }
72}

Path Parameters

NameTypeRequiredDescription
modelId
string
true

The unique identifier for the model.

Query Parameters

NameTypeRequiredDescription
limit
integer<int32>
false

The maximum number of items to return in this request.

Default:
20
modelVersionId
string
false

The unique identifier for the model version.

start
integer<int32>
false

The 0-based start index of a paginated request.

>= 0
Default:
0

Responses

StatusMeaningDescription
200OKThe request succeeded.HeadersSchema
404Not FoundNo model exists at the requested path.Schema