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Table 1 Properties of the real-world and synthetic datasets

From: Building efficient fuzzy regression trees for large scale and high dimensional problems

Dataset F \(\vert DS \vert\) \(C_1 (\downarrow )\) \(C_2 (\downarrow )\) \(C_4 (\uparrow )\)
Window\(_2\) 100 257,560 0.4973 0.1103 0.9919
Window\(_3\) 140 257,560 0.4973 0.0986 0.9918
Window\(_4\) 180 257,560 0.4973 0.0897 0.9917
Window\(_5\) 220 257,560 0.4973 0.0805 0.9917
Window\(_6\) 260 257,560 0.4973 0.0736 0.9917
Window\(_7\) 300 257,560 0.4973 0.0669 0.9917
Window\(_8\) 340 257,560 0.4973 0.0613 0.9917
Window\(_9\) 380 257,560 0.4973 0.0571 0.9917
\(f_1\) 1000 100,000 0.1614 0.0134 1.0000
\(f_{19}\) 1000 100,000 0.0512 0.0283 1.0000
\(f_2\) 100 1,000,000 0.0985 0.0961 1.0000
\(f_4\) 100 1,000,000 0.0243 0.0113 1.0000