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precision recall f1-score support
0 0.98 0.90 0.94 305
1 0.77 0.93 0.84 102
avg / total 0.92 0.91 0.91 407
what does avg/total mean? and how does it be computed? didn't find answer on the official website TAT
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It's either average or total. Average refers to the first 3: precision, recall and f1-score whereas total refers only to support. Edit: Just to be clear, the average refers to the weighted average, where each label's weight is its support. Follow this answer to receive notifications.
average=macro says the function to compute f1 for each label, and returns the average without considering the proportion for each label in the dataset. average=weighted says the function to compute f1 for each label, and returns the average considering the proportion for each label in the dataset.
A Classification report is used to measure the quality of predictions from a classification algorithm. How many predictions are True and how many are False. More specifically, True Positives, False Positives, True negatives and False Negatives are used to predict the metrics of a classification report as shown below.
It's either average or total. Average refers to the first 3: precision, recall and f1-score whereas total refers only to support.
Edit: Just to be clear, the average refers to the weighted average, where each label's weight is its support.
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