(A posterior probability of a testing data point, A, is estimated by the classification model as the probability that A will be classified as positive, denoted as P(+|A).) As the probability getting lower, the Naïve Bayesain classifier outperforms the SVM classifier, with a larger area under curve.
However, different classification models may highlight different sets of relevant genes, and sometimes genes that might be biologically representative are discarded by the classification model.
Furthermore, AUC score obtained by the classification model using these 55 features was 0.8803, indicating that this model has good discriminating power for drug combinations.
Spectra with predicted values greater than the Bayesian threshold are designated as belonging to a particular category, as defined by the classification model.
Based on the threshold levels indicated by the classification model, a prediction rule was then developed (Table 1) which assigned 1 point for a serum albumin level ≤ 24.5 g/L, 1 point for a CRP level > 228 mg/L and 1 point for a combination of WCC >12 × 10 mcL and respiratory rate > 17 resps/min as this proved more discriminatory than either value alone.
The top feature selected by this and all the classification models results in the division of chromosome 17 into two regions, one of them encompassing one or both large LL1 domains discussed above, implying that the distribution of fold change differs in the two regions of the chromosome.
To filter out the false positive from screening hits, the classification models by two-dimensional topological descriptors were built.
I'll present a method for jointly (1) learning to interpret open-ended natural language explanations, and (2) learning the classification models, by using explanations in conjunction with a small number of labeled examples of the concept.
The classification models obtained by MDR from the lung, prostate, lymphoma and breast expression data contain five, six, three and eight predictor genes, respectively.
Results Best performance of the classification models was carried out by decision trees, in all runs.
