Top "Precision-recall" questions

Precision and Recall are statistical measures of performance for information retrieval algorithms based on binary classification.

Easy way of counting precision, recall and F1-score in R

I am using an rpart classifier in R. The question is - I would want to test the trained classifier …

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How to calculate precision and recall in Keras

I am building a multi-class classifier with Keras 2.02 (with Tensorflow backend),and I do not know how to calculate precision …

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sklearn metrics for multiclass classification

I have performed GaussianNB classification using sklearn. I tried to calculate the metrics using the following code: print accuracy_score(…

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What is a bad, decent, good, and excellent F1-measure range?

I understand F1-measure is a harmonic mean of precision and recall. But what values define how good/bad a …

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What does recall mean in Machine Learning?

What's the meaning of recall of a classifier, e.g. bayes classifier? please give an example. for example, the Precision = …

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precision, recall and f-measure in R

I haven't used R in a while, so maybe I'm just not used to it yet, but.. I have a …

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Precision/recall for multiclass-multilabel classification

I'm wondering how to calculate precision and recall measures for multiclass multilabel classification, i.e. classification where there are more …

machine-learning classification multilabel-classification precision-recall
F1 Score vs ROC AUC

I have the below F1 and AUC scores for 2 different cases Model 1: Precision: 85.11 Recall: 99.04 F1: 91.55 AUC: 69.94 Model 2: Precision: 85.1 Recall: 98.73 F1: 91.41 …

machine-learning auc precision-recall
ValueError: pos_label=1 is not a valid label: array(['neg', 'pos'], dtype='<U3')

I recieve this error while trying to obtain the recall score. X_test = test_pos_vec + test_neg_vec Y_…

python machine-learning precision precision-recall
Recall, Recall rate@k and precision in top-k recommendation

According to authors in 1, 2, and 3, Recall is the percentage of relevant items selected out of all the relevant items in …

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