Successful sets were those reaching classification accuracy higher than a threshold (80%).
Objectives To determine whether case studies presented on a completed McKenzie assessment form, commonly used in the McKenzie educational training programme, contain sufficient information to permit a therapist to reach a classification of the patient.
The problem consists in, given a dataset where each object is described by a set of features, finding a subset of the original features such that a classifier that runs on data containing only these features would reach high classification accuracy.
Figure 4A shows the spectral bins which were used to reach maximal classification accuracy (for power) in each subject.
Next, the number of samples that reach the classification target mask (e.g., STN or striatum) was measured.
The output was manually refined by visual inspection of the spectrograms so as to reach a classification of different call types according to the descriptions in Zann (1996).
Therefore, an attribute selection task pursues the following goals: (i) to reach better classification results, (ii) to generate more efficient models, and (iii) to reduce the data dimensionality and therefore computational costs.
This is one of the most important open issues in the implementation of REACH, because classification according to irritation and acute toxicity is fundamental for the safe handling of chemicals, especially in the workplace.
Given that each feature corresponded to a 0.5 Hz wide spectral bin this meant that both methods required on average approximately 17 Hz (one third of the 50 Hz bandwidth available) to reach optimal classification.
Using a subset of 16 significant deregulated miRNAs, we were able to reach a classification accuracy of 97.4%, a specificity of 95% and a sensitivity of 98.9% by supervised analysis.
For example for the dataset shown in Figure 3 (hem 1) 22 features were used to reach maximal classification accuracy (for power), the position of these features in the frequency spectrum however depends on the input order to the classifier (see methods).
