> Despite the equivalent classification performance of PCC and SEN in the SVM, PCC has reduced ability to detect mutational robustness.
The nanoString-mediated subgroup assay described in this report was significantly more cost effective than performing the equivalent classification using an array-based approach, averaging ~$60 USD per sample for our nanoString assay compared to ~$425 USD per sample for a modern Affymetrix expression array.
We compared this clustering with equivalent classifications defined by the EC hierarchy using the enzyme annotations in the BRENDA, PROSITE, InterPro and GO resources (See "Datasets" above).
Cavendish won the equivalent points classifications at the 2010 Vuelta a Espana and 2011 Tour de France and his feat at this year's Giro sees him join a group containing Uzbekistan's Djamolidine Abdoujaparov, Italy's Alessandro Petacchi, France's Laurent Jalabert and Belgian legend Merckx.
However, with random forest, the method yields almost equivalent classification accuracy, whereas KNN yields better accuracy than all other competing methods.
Clearly, λ transforms the number of chosen features into equivalent classification error in (14), and controls the balance between them.
It is designed for the extraction of alternative and equivalent classification models through iterative deletion of selected features.
Moving onto the diabetes dataset, we see that decision trees and KNN yield almost equivalent classification accuracy for the proposed method compared to other feature selection methods.
In Section 2, we give equivalent classification based on the coefficients (c_{k} ).
Our comparison with the support vector machine (SVM) also shows that, the GLD, together with the LNS, requires as much as 150 times lower training time to achieve an equivalent classification accuracy on some of the datasets.
