Sentence examples for label ratios from inspiring English sources

The label ratios used are 2%, 3 %, 4 % and 5

In the experiments, we find that GM-SMCC consistently out-performs other algorithms across all label ratios.

We see from Figure 3 that GM-SMCC (the black line) has the best performance (lies under the other curves) across all evaluation metrics and label ratios.

The product of label ratios in Equation 5 is transformed, through the exponential function in Equation 6, into a sum of free energies, which determines the free energy of microstate j relative to that of the reference microstate 1.

Figure 3 shows the convergence curve of the RNMF algorithm on the problem (1) (at 5% label ratio).

Figures 6(a) and 6(b) show the convergence curves of the proposed algorithm on the problem (1) and (2) (at 5% label ratio), respectively.

The numbers in boldface (on each row of the tables) indicate the best results for each label ratio over the methods.

For each label ratio, a win (or loss) is counted when RNMF is significantly better (or worse) than the compared algorithm over 10 runs.

We also use the receiver operating characteristics (ROC) curve [ 32] to present results for the protein localization prediction problem with 5% of label ratio.

We test the performance of GM-SMCC and EGM-SMCC on the KDD Cup 2001 dataset with different label ratio from 3%to10%0%.

We find that GM-SMCC presents good classification performance when α = 3. Next, we fix α = 3 and vary β from 0 to 0.4 on problem (2) using 5% label ratio.