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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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