PREDIKCIJA BROJA INDEKSNIH POENA IGRAČA U ABA LIGI SA FOKUSOM NA PRIKUPLJANJU I EKSPLORATIVNOJ ANALIZI PODATAKA
Apstrakt
Ovaj rad se bavi predikcijom broja indeksnih poena koje igrač ostvari na košarkaškoj utakmici. Fokus rada je na prikupljanju i eksplorativnoj analizi podataka. Prikupljanje podataka je vršeno sa sajta eurobasket.com pomoću tehnika web-scrapinga. Nakon sređivanja skupa podataka, ekstrakcije obeležja i eksplorativne analize podataka vršena je predikcija pomoću tri različita regresora: Lasso, Random Forest i LightGBM. Optimizacijom hiperparametara implementacija ovih algoritama došlo se do modela pomoću kojih je vršena predikcija broja indeksnih poena. Najbolje rezultate među njima pokazao je model LASSO regresije sa srednjom apsolutnom greškom MAE = 5.617. Izneti su predlozi za poboljšanje skupa podataka, a samim tim i za dalji razvoj ovog rešenja.
Reference
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