Common ML Algorithms

1. The variable that a model aims to predict.
4. Learning type where the model learns from labeled data.
6. Learning type where the model identifies patterns in unlabeled data.
11. The process of teaching a model using data.
13. Metric used to evaluate classification models by measuring correct predictions.
14. A mathematical representation used to make predictions based on data.
15. Unsupervised learning task to group similar data points.

2. Dataset used to evaluate the final performance of a model.
3. Supervised learning task to predict continuous numeric values.
5. Popular Python library for machine learning tasks.
7. Dimensionality reduction technique to reduce data features.
8. A tree based algorithm used for both classification and regression tasks.
9. The output of a model when applied to new data.
10. ...........Matrix to evaluate classification models by showing true and false predictions.
12. The independent variables used by the model to make predictions.