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Parsing JSON records from /Users/adolfo/Desktop/reviews_lite.json | |
Successfully parsed 40000 elements from the JSON file /Users/adolfo/Desktop/reviews_lite.json | |
Reseñas cargadas. | |
Registros. 40000 | |
Tokenizing data and extracting features | |
10% complete | |
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Starting MaxEnt training with 28078 samples | |
Iteration 1 training accuracy 0.198447 | |
Iteration 2 training accuracy 0.435038 | |
Iteration 3 training accuracy 0.498825 | |
Iteration 4 training accuracy 0.522010 | |
Iteration 5 training accuracy 0.549719 | |
Iteration 6 training accuracy 0.595983 | |
Iteration 7 training accuracy 0.624866 | |
Iteration 8 training accuracy 0.644526 | |
Iteration 9 training accuracy 0.667854 | |
Iteration 10 training accuracy 0.682777 | |
Iteration 11 training accuracy 0.703042 | |
Iteration 12 training accuracy 0.724838 | |
Iteration 13 training accuracy 0.741185 | |
Iteration 14 training accuracy 0.755324 | |
Iteration 15 training accuracy 0.771173 | |
Iteration 16 training accuracy 0.784422 | |
Iteration 17 training accuracy 0.797884 | |
Iteration 18 training accuracy 0.807964 | |
Iteration 19 training accuracy 0.817758 | |
Iteration 20 training accuracy 0.828050 | |
Iteration 21 training accuracy 0.833784 | |
Iteration 22 training accuracy 0.838343 | |
Iteration 23 training accuracy 0.843935 | |
Iteration 24 training accuracy 0.850310 | |
Iteration 25 training accuracy 0.854726 | |
Iteration 26 training accuracy 0.858964 | |
Iteration 27 training accuracy 0.861671 | |
Iteration 28 training accuracy 0.864057 | |
Iteration 29 training accuracy 0.867726 | |
Iteration 30 training accuracy 0.868153 | |
Iteration 31 training accuracy 0.871572 | |
Iteration 32 training accuracy 0.873531 | |
Iteration 33 training accuracy 0.877769 | |
Iteration 34 training accuracy 0.878517 | |
Iteration 35 training accuracy 0.880369 | |
Iteration 36 training accuracy 0.881259 | |
Iteration 37 training accuracy 0.882826 | |
Iteration 38 training accuracy 0.884287 | |
Iteration 39 training accuracy 0.885355 | |
Iteration 40 training accuracy 0.886103 | |
Iteration 41 training accuracy 0.887991 | |
Iteration 42 training accuracy 0.888347 | |
Iteration 43 training accuracy 0.888632 | |
Iteration 44 training accuracy 0.889558 | |
Iteration 45 training accuracy 0.890234 | |
Iteration 46 training accuracy 0.890590 | |
Iteration 47 training accuracy 0.891018 | |
Iteration 48 training accuracy 0.891125 | |
Iteration 49 training accuracy 0.891160 | |
Iteration 50 training accuracy 0.891196 | |
Iteration 51 training accuracy 0.892122 | |
Iteration 52 training accuracy 0.892692 | |
Iteration 53 training accuracy 0.893190 | |
Iteration 54 training accuracy 0.893226 | |
Iteration 55 training accuracy 0.893582 | |
Iteration 56 training accuracy 0.893831 | |
Iteration 57 training accuracy 0.894081 | |
Iteration 58 training accuracy 0.894294 | |
Iteration 59 training accuracy 0.894366 | |
Iteration 60 training accuracy 0.894437 | |
Finished MaxEnt training in 16.09 seconds | |
Training (%): 89.42232352731676 | |
... |
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