gridsearchtvsplit

    脚本代码

    脚本结果

    1. com.alibaba.alink.pipeline.tuning.GridSearchCV
    2. [ {
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    5. "paramName" : "numTrees",
    6. "paramValue" : 3
    7. }, {
    8. "stage" : "RandomForestClassifier",
    9. "paramName" : "subsamplingRatio",
    10. "paramValue" : 1.0
    11. } ],
    12. "metric" : 0.8922549257899725
    13. }, {
    14. "param" : [ {
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    16. "paramName" : "numTrees",
    17. "paramValue" : 3
    18. }, {
    19. "stage" : "RandomForestClassifier",
    20. "paramName" : "subsamplingRatio",
    21. "paramValue" : 0.99
    22. } ],
    23. "metric" : 0.8920255970548456
    24. }, {
    25. "param" : [ {
    26. "stage" : "RandomForestClassifier",
    27. "paramName" : "numTrees",
    28. "paramValue" : 3
    29. }, {
    30. "stage" : "RandomForestClassifier",
    31. "paramName" : "subsamplingRatio",
    32. "paramValue" : 0.98
    33. } ],
    34. "metric" : 0.8944982480437225
    35. }, {
    36. "param" : [ {
    37. "stage" : "RandomForestClassifier",
    38. "paramName" : "numTrees",
    39. "paramValue" : 6
    40. }, {
    41. "stage" : "RandomForestClassifier",
    42. "paramName" : "subsamplingRatio",
    43. "paramValue" : 1.0
    44. } ],
    45. "metric" : 0.8923867598288401
    46. }, {
    47. "param" : [ {
    48. "stage" : "RandomForestClassifier",
    49. "paramName" : "numTrees",
    50. "paramValue" : 6
    51. }, {
    52. "stage" : "RandomForestClassifier",
    53. "paramName" : "subsamplingRatio",
    54. "paramValue" : 0.99
    55. } ],
    56. "metric" : 0.9012141767959505
    57. }, {
    58. "param" : [ {
    59. "stage" : "RandomForestClassifier",
    60. "paramName" : "numTrees",
    61. "paramValue" : 6
    62. }, {
    63. "stage" : "RandomForestClassifier",
    64. "paramValue" : 0.98
    65. } ],
    66. "metric" : 0.8993774036693788
    67. "param" : [ {
    68. "stage" : "RandomForestClassifier",
    69. "paramName" : "numTrees",
    70. "paramValue" : 9
    71. }, {
    72. "stage" : "RandomForestClassifier",
    73. "paramName" : "subsamplingRatio",
    74. "paramValue" : 1.0
    75. } ],
    76. "metric" : 0.8981738808130779
    77. }, {
    78. "param" : [ {
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    80. "paramName" : "numTrees",
    81. "paramValue" : 9
    82. }, {
    83. "stage" : "RandomForestClassifier",
    84. "paramName" : "subsamplingRatio",
    85. "paramValue" : 0.99
    86. } ],
    87. "metric" : 0.9029671873892725
    88. }, {
    89. "param" : [ {
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    91. "paramName" : "numTrees",
    92. "paramValue" : 9
    93. }, {
    94. "stage" : "RandomForestClassifier",
    95. "paramName" : "subsamplingRatio",
    96. "paramValue" : 0.98
    97. } ],
    98. "metric" : 0.905228896323363
    99. } ]
    100. rf tv tuning
    101. com.alibaba.alink.pipeline.tuning.GridSearchTVSplit
    102. [ {
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    104. "stage" : "RandomForestClassifier",
    105. "paramName" : "numTrees",
    106. "paramValue" : 3
    107. }, {
    108. "stage" : "RandomForestClassifier",
    109. "paramName" : "subsamplingRatio",
    110. "paramValue" : 1.0
    111. } ],
    112. "metric" : 0.9022694229691741
    113. }, {
    114. "param" : [ {
    115. "stage" : "RandomForestClassifier",
    116. "paramName" : "numTrees",
    117. "paramValue" : 3
    118. }, {
    119. "stage" : "RandomForestClassifier",
    120. "paramName" : "subsamplingRatio",
    121. "paramValue" : 0.99
    122. } ],
    123. "metric" : 0.8963559966080328
    124. }, {
    125. "param" : [ {
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    127. "paramName" : "numTrees",
    128. "paramValue" : 3
    129. }, {
    130. "stage" : "RandomForestClassifier",
    131. "paramName" : "subsamplingRatio",
    132. } ],
    133. }, {
    134. "param" : [ {
    135. "stage" : "RandomForestClassifier",
    136. "paramName" : "numTrees",
    137. "paramValue" : 6
    138. }, {
    139. "stage" : "RandomForestClassifier",
    140. "paramName" : "subsamplingRatio",
    141. "paramValue" : 1.0
    142. } ],
    143. "metric" : 0.8982021117392784
    144. }, {
    145. "param" : [ {
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    147. "paramName" : "numTrees",
    148. "paramValue" : 6
    149. }, {
    150. "stage" : "RandomForestClassifier",
    151. "paramName" : "subsamplingRatio",
    152. "paramValue" : 0.99
    153. } ],
    154. "metric" : 0.9031851535310546
    155. }, {
    156. "param" : [ {
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    158. "paramName" : "numTrees",
    159. "paramValue" : 6
    160. }, {
    161. "stage" : "RandomForestClassifier",
    162. "paramName" : "subsamplingRatio",
    163. "paramValue" : 0.98
    164. } ],
    165. "metric" : 0.9034443322241488
    166. }, {
    167. "param" : [ {
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    169. "paramName" : "numTrees",
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    171. }, {
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    175. } ],
    176. "metric" : 0.8993474753000145
    177. }, {
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    188. }, {
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    197. } ],
    198. "metric" : 0.9129786771786127
    199. } ]