Iddo Gal, Anke Grotlüschen, Dave Tout, Gabriele Kaiser
Numeracy, adult education, and vulnerable adults: a critical view of a neglected field
ZDM : the international journal on mathematics education
present study aimed assess use technicaltactical variables machine learning ml classifiers automatic classification passing difficulty dp level soccer matches illustrate use model best performance distinguish best passing players compared eight ml classifiers according accuracy performance classifying passing events using 35 technicaltactical variables based spatiotemporal data support vector machine svm algorithm achieved balanced accuracy 070 004 considering multiclass classification next illustrate use bestperforming classifier assessment players study 2522 pass actions classified svm algorithm low 539 medium 236 high difficulty passes 225 furthermore used successful rates lowdp mediumdp highdp inputs principal component analysis pca first principal component pc1 showed higher correlation highdp 080 followed mediumdp 073 lowdp accuracy 024 pc1 scores used rank best passing players information rich performance indication ranking best passing players teams applied offensive sequences analysis talent identification