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  • 数据挖掘算法

    1  C4.5                    15.54
    2  C4.5-auto               14.46
    3  C4.5 rules              14.94
    4  Voted ID3 (0.6)         15.64
    5  Voted ID3 (0.8)         16.47
    6  T2                      16.84
    7  1R                      19.54
    8  NBTree                  14.10
    9  CN2                     16.00
    10 HOODG                   14.82
    11 FSS Naive Bayes         14.05
    12 IDTM (Decision table)   14.46
    13 Naive-Bayes             16.12
    14 Nearest-neighbor (1)    21.42
    15 Nearest-neighbor (3)    20.35
    16 OC1                     15.04
    17 Pebls                   Crashed.  Unknown why (bounds WERE increased)
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  • 原文地址:https://www.cnblogs.com/eaglezzb/p/4176476.html
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