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Table 9 Month-wise recommendations accuracy of mastered domains and targets on effectiveness measure

From: Machine learning-based ABA treatment recommendation and personalization for autism spectrum disorder: an exploratory study

Participant Age in months Gender Similarity model Collaborative filtering model
    Months 1–3 Months 4–6 Months 1–6 Months 1–3 Months 4–6 Months 1–6
    Domain code Target code Domain code Target code Domain code Target code Domain code Target code Domain code Target code Domain code Target code
Participant 1 50.4 Male 88 98 94 91 82 93 80 40 80 50 80 80
Participant 2 60 Male 88 87 94 89 82 84 60 60 60 60 80 60
Participant 3 60 Male 71 96 94 92 76 92 60 40 100 60 80 40
Participant 4 72 Male 71 90 94 96 76 90 60 60 80 40 80 80
Participant 5 48 Male 100 78 94 90 94 91 100 100 60 80 60 50
Participant 6 57.6 Male 100 99 94 96 94 89 80 50 80 60 60 50
Participant 7 66 Female 88 87 94 93 100 91 60 60 60 40 80 40
Participant 8 55.2 Female 88 97 94 91 100 92 100 100 100 80 100 80
Participant 9 31.2 Male 65 98 71 96 53 99 80 80 80 60 100 80
Participant 10 57.6 Male 65 89 71 90 53 60 80 60 100 100 60 60
Participant 11 45.6 Male 94 92 53 99 82 82 80 80 60 80 80 40
Participant 12 50.4 Male 94 96 53 60 82 92 100 40 40 40 80 40
Participant 13 54 Male 71 99 94 87 94 93 60 60 50 50 60 40
Participant 14 46.8 Male 71 60 94 99 94 91 40 40 40 60 40 40
Participant 15 49.2 Male 94 93 88 87 88 92 70 60 40 40 80 50
Participant 16 49.3 Male 94 95 88 91 88 90 100 100 80 60 100 50
Participant 17 33.6 Male 71 91 65 98 88 87 100 100 40 50 40 60
Participant 18 62.4 Male 71 91 65 89 88 91 60 60 60 50 100 60
Participant 19 45.6 Female 88 87 94 85 76 99 80 40 40 40 50 50
Participant 20 37.2 Male 88 91 94 88 88 90 60 80 80 60 80 60
Participant 21 40.8 Male 76 92 88 83 94 92 60 60 60 40 40 40
Participant 22 48 Male 76 90 88 93 94 96 100 100 60 40 100 80
Participant 23 27.6 Male 76 88 88 93 82 97 60 50 40 40 100 80
Participant 24 55.2 Male 76 92 88 81 82 87 80 50 100 60 80 40
Participant 25 54 Male 94 87 100 91 94 90 80 40 40 60 80 60
Participant 26 62.4 Male 94 99 100 92 94 96 80 50 40 50 80 60
Participant 27 48 Male 82 93 82 93 71 91 60 100 40 60 100 100
Participant 28 26.4 Male 82 84 82 84 76 91 80 100 40 40 100 40
Participant 29 56.4 Male 65 91 76 92 71 92 60 40 50 60 60 80
Avg. Score 50.3 26M,3F 82.1 90.68 85.31 89.96 84 90.34 74.82 65.51 62.06 55.51 76.89 58.27