| 000 | 00826aam a2200193 4500 | ||
|---|---|---|---|
| 003 | OSt | ||
| 005 | 20221105162245.0 | ||
| 008 | 220824b |||||||| |||| 00| 0 eng d | ||
| 020 | _a9780367532468 | ||
| 040 | _c | ||
| 082 |
_a658.403 _bGRE |
||
| 100 |
_aGreenwell, Brandon M. _961596 |
||
| 245 | _aTree Based Methods for Statistical Learning in R | ||
| 260 |
_bCRC Press _c2022 _aBoca Raton |
||
| 300 | _a388p | ||
| 500 | _a1. Introduction 2. Binary recursive partitioning with CART 3. Conditional inference trees 4. "The hitchhiker's GUIDE to modern decision trees" 5. Ensemble algorithms 6. Peeking inside the "black box": post-hoc interpretability 7. Random forests 8. Gradient boosting machines | ||
| 600 |
_aR Programming - Statistics _962561 |
||
| 942 |
_2ddc _cLB _k658.403 _mGRE |
||
| 999 |
_c138816 _d138816 |
||