Here we compare ML models for Classifying cancer dataset. We used 4 supervised learning models for this classification, namely, Logistic Regression (LR), Decision Tree (DT), Naive Bayes (NB), and k-Nearest Neighbor (kNN). Each model require highly similar code lines. Receiver operating characteristic (ROC) curve is used to evaluate the best classifier for the given dataset.
-
Notifications
You must be signed in to change notification settings - Fork 0
nirmitsakre/Model_comparison_ML
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Supervised Learning models evaluation
Topics
Resources
Stars
Watchers
Forks
Packages 0
No packages published