Model seçimi: topluluk (ensemble) modelleri

Python ile Machine Learning Mülakat Sorularını Pratik Etme

Lisa Stuart

Data Scientist

Bootstrapping

Örnekleme (Bootstrapping)

¹ https://medium.com/@rrfd/boosting-bagging-and-stacking-ensemble-methods-with-sklearn-and-mlens-a455c0c982de

Orman

¹ https://www.sca.com/en/about-us/our-forest/

Gradient boosting

¹ https://blog.bigml.com/2017/03/14/introduction-to-boosted-trees/

¹ https://scikit-learn.org/stable/modules/classes.html#module-sklearn.ensemble

Fonksiyon	döndürür
`sklearn.ensemble.RandomForestClassifier`	Random Forest
`sklearn.ensemble.GradientBoostingClassifier`	Gradient Boosted Model
`sklearn.metrics.accuracy_score`	eğitilmiş model doğruluğu
`sklearn.metrics.confusion_matrix(y_test,y_pred)`	karmaşıklık matrisi
`sklearn.metrics.precision_score(y_test,y_pred)`	kesinlik (precision)
`sklearn.metrics.recall_score(y_test,y_pred)`	duyarlılık (recall)
`sklearn.metrics.f1_score(y_test,y_pred)`	f1 skoru

Python ile Machine Learning Mülakat Sorularını Pratik Etme