Next, we extended the CNN with two more layers to get the hierarchical model described in Section 4. Interestingly, while this model attained a huge drop in the frame error rate (about 17%%), the word the error rate decreased only by 2.5%%.
The overall model attained a good fit (CFI =.92, TLI =.90, RMSEA =.04).
The model attained a good fit (CFI =.98, TLI =.98, RMSEA =.04).
The model attained a good fit with a non-significant value for χ = 5.48 (df = 3, p = 0.140) indicating that the model is able to properly reproduce the observed means, variances and covariances for the 4 items.
The model attains a considerable fit with significance of 0,844.
The model attains a considerable fit with significance of 0,932, which represents a high fidelity model.
The model attains a considerable fit with significance of 0,841, which means a very high quality of model.
Starting from the works [1, 2], climate-carbon cycle interactions in the global numerical models attain a lot of scientific attention.
As shown in Table 2, not all models attain a rate of success of 50%% in predicting the level and the slope, and higher success rates are achieved for the curvature.
Starting from the works [ 1, 2], climate-carbon cycle interactions in the global numerical models attain a lot of scientific attention.
