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| author | Vink <mike1994vink@gmail.com> | 2020-09-23 09:41:41 +0200 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2020-09-23 09:41:41 +0200 |
| commit | dcf6ecd796d429c23045faf3536d4fdde45d5014 (patch) | |
| tree | 6b42918f92f9232967353e6a108f3eb98638bd76 | |
| parent | caff8054fe03bd28ad5873538ec22b828c1f2f38 (diff) | |
Update README.md
| -rw-r--r-- | README.md | 5 |
1 files changed, 3 insertions, 2 deletions
@@ -8,12 +8,13 @@ - [X] [tree_pred functie](https://github.com/Vinkage/2020_data_mining_assignments/blob/da8ca975fb9d11d3801fef66344736e675734c42/assignment1.py#L77-L103) met efficiente conditional branches - [ ] tree_pred_b een functie die een lijst van tree kan gebruiken om een voorspelling te maken voor rows in een data array x +- [ ] Figure out how we want to compute the confusion matrix (scipy?) +- [ ] Test prediction of single tree on pima indians data with nmin 20 and minleaf 5, check with confusion matrix in [link to assignment](http://www.cs.uu.nl/docs/vakken/mdm/assignment1-2020.pdf) + ## Part2, data analysis: - [ ] Datasets collecten uit de literature - [ ] Datasets describen, exploren/plotten/formatten als het nodig is -- [ ] Figure out how to compute accuracy, precision, recall for predictions in python -- [ ] Figure out how we want to compute the confusion matrix (scipy?) ### Official steps  |