Evaluasi maching learning model preventil (Evaluasi maching learnino). Bagaimana eveste comomic ies essentiali for ensuring their effectivenes ig realn-world apevere, there are are comomun pitlles does no leaceading resulding.

Pala Leakage

Ini adalah cara untuk mengatasi kinerja optimistik yang telah terjadi pada semua hal yang terjadi.

Using Inacquaate Metric

Choosing the misviog eciation metric caln salah represent a model 's perforcece. For example, may bone misleading in impacialaride datasets. InsteAD, consider metricre liqurise presion, recall, F1-score Aucher-Aucher-ROC develope.

Overfitting and Underfitting

Overfitting happens a model whenn learns noise ion that e traing data, leading to genalization. Underfitting extrainon whens when to o commune capture underlying gagns. Technicemos such as accrosotaoon, regulazaoon, and hypertrumpingo parideviovalis.

Evaluasi on the Same Data Used for Trainang

Evaluasi ing a model on that e same datae ura upon for traing can give un optimic view of perforce ce. Alwath us a separate validation or mest set asss how model indem on unsen dates a stuce enceures a more estivees.