| Keyword | CPC | PCC | Volume | Score |
|---|---|---|---|---|
| confusion matrix code for cnn | 0.16 | 0.6 | 5300 | 58 |
| cnn confusion matrix python code | 1.23 | 0.1 | 836 | 52 |
| confusion matrix for cnn | 0.53 | 0.9 | 5483 | 61 |
| confusion matrix for cnn model | 1.88 | 0.5 | 4183 | 71 |
| code for confusion matrix | 1.96 | 0.7 | 3488 | 9 |
| confusion matrix r code | 1.06 | 0.5 | 5025 | 62 |
| confusion matrix code in ml | 1.46 | 0.5 | 8237 | 37 |
| confusion matrix code in machine learning | 0.5 | 0.1 | 2702 | 77 |
| confusion matrix numerical example | 0.68 | 0.3 | 7961 | 34 |
| confusion matrix for knn | 0.66 | 0.7 | 7559 | 77 |
| confusion matrix for model | 0.71 | 0.4 | 5503 | 65 |
| question on confusion matrix | 0.43 | 0.8 | 5084 | 44 |
| understanding a confusion matrix | 1.3 | 0.5 | 3312 | 70 |
| confusion matrix questions and answers pdf | 0.73 | 1 | 6487 | 14 |
| explain the confusion matrix | 1.26 | 0.5 | 8523 | 92 |
| how to understand confusion matrix | 1.59 | 0.3 | 9062 | 72 |
| what is the confusion matrix | 0.83 | 0.3 | 8128 | 69 |
| describe the confusion matrix with example | 0.47 | 1 | 2191 | 10 |
| image of confusion matrix | 0.27 | 0.3 | 2691 | 60 |
| how to find the confusion matrix | 1.18 | 0.8 | 1941 | 65 |
| interpretation of confusion matrix | 1.73 | 0.1 | 4294 | 51 |
| cm confusion_matrix | 0.6 | 0.3 | 7129 | 68 |
