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=== Ewaluacja (F1) === F1 (micro): 0.0000 F1 (macro): 0.0000 === Classification Report (skrót) === precision recall f1-score support 0 0.00 0.00 0.00 839 1 0.00 0.00 0.00 482 2 0.00 0.00 0.00 326 3 0.00 0.00 0.00 473 4 0.00 0.00 0.00 547 5 0.00 0.00 0.00 195 6 0.00 0.00 0.00 283 7 0.00 0.00 0.00 449 8 0.00 0.00 0.00 120 9 0.00 0.00 0.00 260 10 0.00 0.00 0.00 415 11 0.00 0.00 0.00 155 12 0.00 0.00 0.00 57 13 0.00 0.00 0.00 179 14 0.00 0.00 0.00 121 15 0.00 0.00 0.00 539 16 0.00 0.00 0.00 16 17 0.00 0.00 0.00 293 18 0.00 0.00 0.00 396 19 0.00 0.00 0.00 32 20 0.00 0.00 0.00 301 21 0.00 0.00 0.00 23 22 0.00 0.00 0.00 229 23 0.00 0.00 0.00 29 24 0.00 0.00 0.00 118 25 0.00 0.00 0.00 272 26 0.00 0.00 0.00 204 27 0.00 0.00 0.00 2850 micro avg 0.00 0.00 0.00 10203 macro avg 0.00 0.00 0.00 10203 weighted avg 0.00 0.00 0.00 10203 samples avg 0.00 0.00 0.00 10203 Przykład nr 1 Tekst: ['i really wanted him to be wearing cowboy boots but will still upvote for those rain boots <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV>'] Prawdziwe etykiety: [0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] Przewidywane etykiety: [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] Przykład nr 2 Tekst: ['how to pretend to be the woman who had her face ripped off by <OOV> the <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV>'] Prawdziwe etykiety: [0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] Przewidywane etykiety: [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] Przykład nr 3 Tekst: ['good for you name you deserved a nice drink to end a year where you made an impact in peoples lives cheers <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV>'] Prawdziwe etykiety: [1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0] Przewidywane etykiety: [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] Przykład nr 4 Tekst: ['this is the greatest analogy <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV>'] Prawdziwe etykiety: [1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] Przewidywane etykiety: [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] Przykład nr 5 Tekst: ["totally fair all i was trying to remind everyone is don't fall in love with your crushes <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV> <OOV>"] Prawdziwe etykiety: [0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] Przewidywane etykiety: [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
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