Machine Learning-Based Facial Beauty Prediction and Analysis of Frontal Facial Images Using Facial Landmarks and Traditional Image Descriptors

Table 10

Performance of each model according to R² Score for 11–25 features.

S. No.	Number of features	LR	KNN	RF	ANN
1.	11	0.2604	0.302	0.3344	0.2888
2.	12	0.1904	0.2509	0.2402	0.203
3.	13	0.2331	0.3945	0.0604	0.2264
4.	14	0.1892	0.4162	0.1029	0.213
5.	15	0.2082	0.3753	0.2676	-0.0114
6.	16	0.3303	0.3787	-0.003	0.0246
7.	17	0.3459	0.3462	0.2165	0.3288
8.	18	0.3457	0.309	0.2298	0.0178
9.	19	0.331	0.3952	0.1308	0.3096
10.	20	0.3369	0.3924	0.1395	0.3169
11.	21	0.3256	0.4021	0.1456	0.3178
12.	22	0.3248	0.4089	0.1324	0.316
13.	23	0.331	0.4097	0.1437	0.3099
14.	24	0.3358	0.3924	0.1587	0.3184
15.	25	0.3294	0.3910	0.1308	0.3269