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A multidimensional analysis of machine learning methods performance in the classification of bioactive compounds was carried out.
For each instance we compared the methods performance in terms of reaching optimality, deviation from the optimal solution and calculation-time.
Open image in new window Fig. 10 Hybrid ANFIS methods' performance in the training and testing datasets.
In recent years, many comparative studies of different machine learning methods performance in ligand-based virtual screening have been reported [2, 3].
The methods performance in predicting the pattern of prevalence in a number of countries (Cote d'Ivoire, Ghana, Kenya, Malawi, Tanzania and Uganda) was assessed using both internal (leave-one-out cross validation and partitioned data hold-back) and external validation approaches.
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The majority of diagnostic samples and all samples with unfavorable DNA quality yielded Cts>29, performing much worse than the artificial template standards included to test for method performance in the DxS kit (Figure 1C).
The activity mean value is recovered but the method performance in correspondence to the edges needs further investigation.
Figure 6 shows the relationship between the percentage of overlap and our method performance in F-scores with (fscore_gold_entity) and without using gold entities (fscore_text-mined_entity).
However, they did not measure the impact of their DIR method performance in term of dose accumulation, especially in the high gradient zone.
This heuristic is useful for filtering or ranking, however it does not tell us much about method performance in the face of noise.
In addition, the study of the FD-MD method performance in premature neonates will also be crucial in order to characterize the effects of the thick CSF layer in this population.
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