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School / Prep
ENSTBB
Internal code
BT7PRIAR
Description
Understand decision tree-based classification approaches (separation criteria, random forest improvements and isolation forest outlier detection) and hierarchical partitioning approaches (bottom-up/ top-down, separation criteria and quality, visualization).
Teaching hours
- CIIntegrated Courses12h
Mandatory prerequisites
1A: Programming and Artificial Intelligence I and II, or equivalents
Further information
Machine Learning: further development (regression, clustering, decision trees, etc.)
Assessment of knowledge
Initial assessment / Main session
| Type of assessment | Nature of assessment | Duration (in minutes) | Number of tests | Evaluation coefficient | Eliminatory evaluation mark | Remarks |
|---|---|---|---|---|---|---|
| Continuous control | Active Participation |