Table 4 Notations with description.
From: Revolutionizing heart disease prediction with quantum-enhanced machine learning
S.No | Notation | Description |
|---|---|---|
1 | min(X) | Find minimum value in given data set X |
2 | max(X) | Find maximum value in given data set X |
3 | CSS | Chi square score |
4 | OF(i) | Observed frequency of feature ‘I’ |
5 | EF(i) | Expected frequency of feature ‘I’ |
6 | ry(ɵ) | Qubit rotation around y axis through an angle ɵ |
7 | < 0|σz|0 > and < 1|σz|1 > | States represented in Pauli-Z(σz) measurement |
8 | |ϕ(x′) > | Quantum states |
9 | v(ϕ(x′)) | Quantum feature map |
10 | hn | Hadamard gate |
11 | C(r) | Control register |
12 | T(r) | Training register |
13 | Te(r) | Temporary register |
14 | Tt(r) | Test register |
15 | Ta(r) | Target register |
16 | S0 | State of quantum registers |
17 | fi(x′) | Estimate of target variable |
18 | u(x,y) and u(x′) | Encode input data x and y into quantum state |
19 | < M > | Expectation measurement |
20 | N(T +) | Number of true positives |
21 | N(T−) | Number of true negatives |
22 | N(F +) | Number of false positives |
23 | N(F−) | Number of false negatives |
24 | P | Precision |
25 | A | Accuracy |
26 | R | Recall |
27 | Se | Sensitivity |
28 | Sp | Specificity |
29 | F | F1 score |
30 | T | Training time |
