machine learning blink 9.5 (classifier evaluation using accuracy, sensitivity, specificity)
Published 5 years ago • 1.1K plays • Length 5:47
Download video MP4
Download video MP3
Similar videos
-
5:50
confusion matrix solved example accuracy precision recall f1 score prevalence by mahesh huddar
-
14:01
tp, fp, tn, fn, accuracy, precision, recall, f1-score, sensitivity, specificity, roc, auc
-
11:47
machine learning fundamentals: sensitivity and specificity
-
11:55
machine learning blink 2.4 (supervised learning: classification basic concept)
-
29:45
machine learning blink 10.1 (why dimensionality reduction?)
-
25:15
machine learning blink 3.1 (know your data: data covariance, domain shift and more)
-
6:06
sensitivity and specificity simplified
-
11:46
precision, recall, f1 score, true positive|deep learning tutorial 19 (tensorflow2.0, keras & python)
-
18:04
machine learning blink 4.1 (recap of ml3: data distribution, covariance, and bayes classifier)
-
6:50
machine learning blink 2.2 (anchoring randomization in cross-validation)
-
5:15
sensitivity, specificity, balanced accuracy | confusion matrix metrics part 6 | machine learning
-
0:42
the sensitivity, specificity, precision, recall sing-a-long!!!
-
16:06
machine learning - classification - sensitivity, specificity, roc, auc
-
3:50
sensitivity vs. specificity in machine learning
-
12:44
machine learning blink 2.5 (unsupervised learning: clustering)
-
11:26
machine learning blink 4.3 (finding the minima of multivariate loss functions)
-
2:17
why accuracy is not a good metric for classification algorithms in machine learning
Clip.africa.com - Privacy-policy