gcp_bigquery_client/model/
binary_confusion_matrix.rs

1//! Confusion matrix for binary classification models.
2
3#[derive(Debug, Default, Clone, Serialize, Deserialize)]
4#[serde(rename_all = "camelCase")]
5pub struct BinaryConfusionMatrix {
6    /// The fraction of actual positive predictions that had positive actual labels.
7    pub precision: Option<f64>,
8    /// Number of false samples predicted as true.
9    pub false_positives: Option<i64>,
10    /// Threshold value used when computing each of the following metric.
11    pub positive_class_threshold: Option<f64>,
12    /// The fraction of predictions given the correct label.
13    pub accuracy: Option<f64>,
14    /// The fraction of actual positive labels that were given a positive prediction.
15    pub recall: Option<f64>,
16    /// The equally weighted average of recall and precision.
17    pub f_1_score: Option<f64>,
18    /// Number of true samples predicted as true.
19    pub true_positives: Option<i64>,
20    /// Number of false samples predicted as false.
21    pub false_negatives: Option<i64>,
22    /// Number of true samples predicted as false.
23    pub true_negatives: Option<i64>,
24}