Step 3: According to the labels of k instances, forecast the label of each test instance xi (in this paper, the result is judged as positive if the number of labels is more than k/2, otherwise, negative).
Step 3: According to the labels of k training instances and the conditional probability associated to each label, forecast the probability of the xi instance and then acquire the forecast results (here ≥ 0.5 is taken); Repeat for each test instance.
In order to further investigate the situations of each label, the forecast results of Average_Precision on different syndrome labels by using ML-kNN and kNN with different k values are illustrated in Figure 3, where the horizontal coordinate stands for the k value, and longitudinal coordinate stands for results of Average_Precision.
Step 4: Combine n groups of results to obtain the forecast result of multiple labels and assess the forecast results according to multiple label evaluation criteria.
The StarMine earnings forecast for Cemex is labeled a "Bold Estimate".
350,000 copies were shipped worldwide by the first week of March 2005; 20,000 were sent to America, double the record labels' January forecast.
The notion that methylation reactions involved in the biosynthesis of some natural products might involve chemistry other than SN2 was forecasted by early labeling studies demonstrating that net retention of the methyl configuration occurred, not inversion as expected of a SN2 mechanism.
Step 4: Evaluate the forecast results according to multi label evaluation criteria.
In the kNN algorithm, the syndrome diagnosis of CHD is split into several single label problems to perform forecast, then the results are combined.
4) Different labels result in different forecast results; although clinical values are shown from the results on the whole, the result of z5 is slightly greater than 50%.
