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  1. prepare:
  2. cmd: python gene_expressions/prepare.py data.pkl
  3. deps:
  4. - path: data/raw/actual.csv
  5. md5: b8d0bd345a4c32fbd81629924cffe804
  6. size: 511
  7. - path: data/raw/data_set_ALL_AML_independent.csv
  8. md5: 13f3c6c8c8f3369b96b5d6583ceff8c1
  9. size: 1860352
  10. - path: data/raw/data_set_ALL_AML_train.csv
  11. md5: 7583fdd11c5acd7b11253714265f8cd0
  12. size: 2039681
  13. - path: gene_expressions/prepare.py
  14. md5: 4d65988d79f0bf52b4ceb88c6ae4d9bb
  15. size: 4598
  16. outs:
  17. - path: data/prepared/data.pkl
  18. md5: 4512c1ec0b1ed91bbf7c0c42986342ff
  19. size: 4107520
  20. train:
  21. cmd: python gene_expressions/train.py data/prepared model.pkl
  22. deps:
  23. - path: data/prepared/data.pkl
  24. md5: 4512c1ec0b1ed91bbf7c0c42986342ff
  25. size: 4107520
  26. - path: gene_expressions/train.py
  27. md5: b780f8a952fa2cf5751e5e4c39ae3a66
  28. size: 3917
  29. outs:
  30. - path: model/random_forest_model.pkl
  31. md5: b98eb0d6842fcbabaadd2e902700f6a9
  32. size: 175687
  33. evaluation:
  34. cmd: python gene_expressions/evaluate.py ROC_AUC_curve.png Confusion_Matrix.png
  35. deps:
  36. - path: data/prepared/data.pkl
  37. md5: 4512c1ec0b1ed91bbf7c0c42986342ff
  38. size: 4107520
  39. - path: gene_expressions/evaluate.py
  40. md5: 2bf338c54f006924216dad59952f7e59
  41. size: 5133
  42. - path: model/random_forest_model.pkl
  43. md5: b98eb0d6842fcbabaadd2e902700f6a9
  44. size: 175687
  45. outs:
  46. - path: reports/metrics/eval.json
  47. md5: 27192e4338f62fd13e42b8e18d41bbc7
  48. size: 24
  49. - path: reports/plots/Confusion_Matrix.png
  50. md5: ea1ae63c2f21cbdb262e1c575b5d1b73
  51. size: 15878
  52. - path: reports/plots/ROC_AUC_curve.png
  53. md5: 6cdcdb0ec0ba3184bf8cc777e2abf2f5
  54. size: 23104
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