ML之catboost:基于自带Pool数据集实现二分类预测
        【摘要】 
                    ML之catboost:基于自带Pool数据集实现二分类预测 
 
 
 
基于自带Pool数据集实现二分类预测 
输出结果 
Learning rate set to 0.50:	learn: 0.9886498	total: 55.3ms	remaining: 1.6s1:	learn: 0.9387830	total: 56.6m...
    
    
    
    ML之catboost:基于自带Pool数据集实现二分类预测
基于自带Pool数据集实现二分类预测
输出结果
  
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      Learning rate set to 0.5
     
    
 
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      0:	learn: 0.9886498	total: 55.3ms	remaining: 1.6s
     
    
 
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      1:	learn: 0.9387830	total: 56.6ms	remaining: 793ms
     
    
 
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      2:	learn: 0.8972694	total: 57.7ms	remaining: 519ms
     
    
 
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      3:	learn: 0.8131495	total: 58.4ms	remaining: 379ms
     
    
 
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      4:	learn: 0.7399968	total: 59.2ms	remaining: 296ms
     
    
 
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      5:	learn: 0.6762510	total: 60.2ms	remaining: 241ms
     
    
 
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      6:	learn: 0.6205395	total: 61ms	remaining: 200ms
     
    
 
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      7:	learn: 0.5716785	total: 61.7ms	remaining: 170ms
     
    
 
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      8:	learn: 0.5286601	total: 62.4ms	remaining: 146ms
     
    
 
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      9:	learn: 0.4906324	total: 63.1ms	remaining: 126ms
     
    
 
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      10:	learn: 0.4568783	total: 63.8ms	remaining: 110ms
     
    
 
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      11:	learn: 0.4267950	total: 64.4ms	remaining: 96.6ms
     
    
 
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      12:	learn: 0.3998761	total: 68.7ms	remaining: 89.8ms
     
    
 
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      13:	learn: 0.3756948	total: 69.9ms	remaining: 79.9ms
     
    
 
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      14:	learn: 0.3538914	total: 71ms	remaining: 71ms
     
    
 
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      15:	learn: 0.3341614	total: 71.9ms	remaining: 62.9ms
     
    
 
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      16:
     
    
 
  
 文章来源: yunyaniu.blog.csdn.net,作者:一个处女座的程序猿,版权归原作者所有,如需转载,请联系作者。
原文链接:yunyaniu.blog.csdn.net/article/details/115711569
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