Inissiaatigut algolumeeria siunertarnermut tunniussatut ilisarnitsinni
Ilisarnaq sanarfik isumaginniqaat 10-t missilersorneqarnermi kingorna 50-ni ilisarnanut.
Qallunaat algortimi nunatsinni siunissaqataqarnera, 10-t missilersorneqarsinnaaneq, kingorna 50, qallunaat inuunermi saqqummersitsissoq, qallunaat siunertaqarnera nalunaarsuutigineqarsinnaanera. 

1. Data ineriartornera: Algortimip katersorneqarsinnaanngilaq, ineriartornera kingusinnerpaamik ilitaralugu. 
2. Ilisarnernut siunertaqarnera: 10-t missilersorneqarsinnaaneq, siunertaqarnera ilisarnernut tunngasut, chi-squared, ANOVA, mutual information.
3. Modeli siunertaqarnera: Dataset-imik pisinnaatitaaffik, regression, decision tree, random forest, support vector machine.
4. Training: Modeli siunertaqarnera kingorna, training, testing, ineriartornera.
5. Modeli evaluation: Modeli ineriartornera, accuracy, precision, recall, mean squared error.
6. Fine-tuning: Modeli siunertaqarnera, hyperparameter, grid search, random search.
7. Final model: Modeli siunertaqarnera, optimal hyperparameter, qallunaat inuunermi saqqummersitsissoq.