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Results tagged with supervised-learning
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user 43374
Supervised learning is a type of machine learning algorithm that learns a mapping function y = f(x) between input variables (x) and output variables (y). The two most common supervised learning tasks are classification and regression.
2
votes
Problem: Logistic Regression vs. Tree-based Model Performance on Small Imbalanced Dataset
Tree-based models tends to overfit on any data which is accessible. LR can generalise better. It's not always possible to achive good model score in real life (not Kaggle competition). Sometimes it's …
- 228
1
vote
Techniques for increase random forest classifier accuracy
You can try XGBoost or LightGBM, they often perform better than Random Forest
Try do not remove missing values, complex ensemble models such as RF and GBM treats it well, may be you lost some useful …
- 228