scenario,classifier,n_features,precision,recall,f1
LEX+META,MLP,9,0.998,0.9966,0.9973
TOPIC+META,MLP,8,1.0,0.9939,0.997
META,MLP,6,1.0,0.9932,0.9966
SEM+META,MLP,7,0.9986,0.9926,0.9956
TEXT+META,MLP,12,0.9993,0.9899,0.9946
LEX+META,LR,9,0.9986,0.9899,0.9942
TOPIC+META,LR,8,0.9959,0.9905,0.9932
TEXT+META,LR,12,0.9986,0.9872,0.9929
META,LR,6,1.0,0.9845,0.9922
SEM+META,LR,7,0.9986,0.9845,0.9915
TEXT,LR,6,0.9891,0.9189,0.9527
TEXT,MLP,6,0.9897,0.9128,0.9497