Modify the forward selection process of greedy algorithm #12
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对备选特征做前向选择，即依次挑选特征加入训练集，如果得分高于当前最高分，则迭代最高分和特征集合，然后在迭代后的特征集合上继续执行前向选择。
随机选择过程对可能出现的特征组合进行去重
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对备选特征做前向选择，即依次挑选特征加入训练集，如果得分高于当前最高分，则迭代最高分和特征集合，然后在迭代后的特征集合上继续执行前向选择。
但是您的贪心前向选择过程中，每次使用的是基本特征（selectcol = self._Startcol[:]），如果第一次选择的特征所获得的增益最大的话，那么后续特征将无法加入到当前的特征集合中，前向选择将失效。