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: front bearing temperature | : indicator function |
: rear bearing temperature | : 5 number of nearest neighbor samples |
: cooling water inlet temperature | : the number of attributes |
: winding temperature | : the number of optimal attributes |
: winding temperature | : Matthew correlation coefficient |
: winding temperature | : average of |
: winding temperature | : the number of data sets |
: winding temperature | : the number of decision trees |
: winding temperature | : new samples |
: classification accuracy | : , probability that the sample contains the attribute |
: average of | : probability of being in degree |
: the th decision tree | : the number of data sets not extracted |
: state degree | : the number of incorrect classification from data sets not extracted |
: state degree at time | : time |
: error rate of classification | : , weight for the th decision tree |
: false positive | : data value of generator at time |
: false positive | : , the number of samples classified correctly for the th tree |
: harmonic average of minority class accuracy and recall | : the number of pretested sample |
: average of | : some sample |
: Gini index | : samples are randomly selected from nearest neighbor samples |
: geometric average correct rate | : random number between (0,1) |
: average of | : true positive |
: comprehensive assessment result | : true positive |
: , assessment result of th decision tree | : the corresponding category |
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