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Figure 10 | BMC Bioinformatics

Figure 10

From: SpectraClassifier 1.0: a user friendly, automated MRS-based classifier-development system

Figure 10

Reports tab. In this example three reports are shown. On the top left of this tab the Fisher LDA results for training cases are shown: each row of the table corresponds to one case, showing its identifier, the tumour types, the actual original class, the predicted class (obtained by the Fisher LDA method), and the corresponding X and Y coordinates for the representation in a projection space. On the top right the Fisher LDA probabilities results for training and testing cases are shown: each row of the table corresponds to one case, showing its identifier and the probabilities of belonging to each previously defined class (low-grade m, aggressive, low-grade g). In the bottom left there is the weights matrix report, showing the matrix of weights of the classifier, each of them associated to the corresponding spectral data vector feature (expressed in ppm).

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