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. 2018 Apr 26;18(5):1339. doi: 10.3390/s18051339

Table 3.

Results of the 3-factor ANOVA evaluating the effects of architecture, sequence length, training method, and first-order interactions on mean classification accuracy. Significant results are displayed in bold.

Factor DF Sum of Squares F Ratio Prob >  F
Architecture 5 0.0090 10.0929 <0.0001
Sequence Length 1 0.0709 398.2276 <0.0001
Training Method 3 0.0021 3.9591 0.012
Sequence Length*Training Method 3 0.0073 13.7292 <0.0001
Architecture*Sequence Length 5 0.0029 3.2372 0.0116
Architecture*Training Method 15 0.0039 1.4701 0.1449