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Table 6 Precision (P), recall (R), and F1-measure (F) 10-fold cross validation results on training data

From: Personality-dependent content selection in natural language generation systems

 Context infoSpeaker idsPersonality info
ClassPRFPRFPRF
isYoung0.560.500.520.340.600.480.500.660.58
Race0.780.810.790.400.580.490.630.620.65
Emotion0.680.570.620.550.820.640.700.830.73
Smile0.700.650.690.380.640.500.580.650.60
Eyebrows0.620.680.590.610.850.690.740.890.79
hair.colour0.700.590.650.470.690.570.650.720.66
hair.length0.690.790.720.520.780.590.660.750.67
Ponytail0.860.980.870.810.890.830.890.910.89
eye.colour0.680.760.720.600.820.670.780.890.81
Mean0.700.700.690.520.740.610.680.770.71
  1. Best F1 results are highlighted