Accuracy is 97.5%, which is 9,752 of 10,000 reviews called correctly. Precision on the negative class is 68.6%, which is 96 of the 140 flagged, and recall is 32.0%, which is 96 of the 300 negative reviews. The alert list holds 96 real complaints mixed with 44 false alarms, and 204 complaints are never flagged at all. On accuracy this threshold calls 52 more reviews correctly than the rule that flags nothing, 9,752 against 9,700 of 10,000, and it surfaces 96 of the 300 complaints against none. Both figures are reported because either one on its own hides the other. The 140 alerts fit inside the stated capacity of 1,000 a month, with room for 860 more. The lowest threshold that fits 1,000 alerts a month is 0.550. It raises 935 alerts and catches 234 of the 300 complaints, a recall of 78.0%. Negative reviews are 3 per cent of the batch, so the 300 negative reviews carry 3 per cent of the accuracy figure and the 9,700 positive ones carry the rest. A rule that never flags anything loses every complaint and still scores 97.0%. Sweeping the threshold, the highest accuracy available here is 97.5% at a threshold of 0.775, and that setting catches 79 of the 300 complaints on 104 alerts. It prints the same figure as the setting on screen at one decimal place, and the exact counts are 9,754 reviews called correctly there against 9,752 here. Compare it with the setting on screen before deciding which measure the choice should turn on.