![Table 2 from Fuzzy complex numbers and their application for classifiers performance evaluation | Semantic Scholar Table 2 from Fuzzy complex numbers and their application for classifiers performance evaluation | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/3aee161b31d2adf0750b411f19244d98d097be4e/32-Table6-1.png)
Table 2 from Fuzzy complex numbers and their application for classifiers performance evaluation | Semantic Scholar
![Table 1 from DETC 98 / MECH-5887 A CLASSIFICATION SCHEME FOR PLANAR 4 R , SPHERICAL 4 R , AND SPATIAL RCCC LINKAGES TO FACILITATE COMPUTER ANIMATION | Semantic Scholar Table 1 from DETC 98 / MECH-5887 A CLASSIFICATION SCHEME FOR PLANAR 4 R , SPHERICAL 4 R , AND SPATIAL RCCC LINKAGES TO FACILITATE COMPUTER ANIMATION | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/4fb31ea48a66178a8701d1bcd5a6b7b074c70777/4-Table1-1.png)
Table 1 from DETC 98 / MECH-5887 A CLASSIFICATION SCHEME FOR PLANAR 4 R , SPHERICAL 4 R , AND SPATIAL RCCC LINKAGES TO FACILITATE COMPUTER ANIMATION | Semantic Scholar
![SOLVED: Compute the 1-R classification on the following dataset. Based on the classification result, derive a contingency table (confusion matrix) and compute sensitivity and FP-rate. Outlook Sunny Sunny Overcast Rainy Rainy Rainy SOLVED: Compute the 1-R classification on the following dataset. Based on the classification result, derive a contingency table (confusion matrix) and compute sensitivity and FP-rate. Outlook Sunny Sunny Overcast Rainy Rainy Rainy](https://cdn.numerade.com/ask_images/eec8638193ee4a30b19641dfaf6286df.jpg)