Sounds like a regression problem. Try linear regression and advance to more sophisticated methods (such as SVM regression) if it doesn't work.
There's no telling which method will work best. Experiment with various, try different sets of features and algorithmic settings, and measure, measure, measure.
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听起来像是一个回归问题。尝试线性回归，如果不起作用，则继续使用更复杂的方法（例如 SVM 回归）。
没有人知道哪种方法最有效。进行各种实验，尝试不同的功能集和算法设置，然后测量、测量、测量。
Sounds like a regression problem. Try linear regression and advance to more sophisticated methods (such as SVM regression) if it doesn't work.
There's no telling which method will work best. Experiment with various, try different sets of features and algorithmic settings, and measure, measure, measure.
我会研究回归：给定变量向量，它将给出某个值的预测。
岭回归应该表现良好。
I'd look into Regressions : given vector of variables it'll give a forecast for some value.
Ridge regression should do well.