Confusion matrix
Term · Chemistry · MLC-T-CHM-002426
A tabular summary used to evaluate the performance of a classification model by comparing its predicted classifications against the actual, known outcomes. The matrix displays the counts of true positives, true negatives, false positives, and false negatives in a square grid where rows represent the actual class and columns represent the predicted class. From these four outcomes, metrics such as accuracy, precision, and recall can be calculated.
| Identifier | MLC-T-CHM-002426 |
|---|---|
| Field | Chemistry |
| Subject | Chemistry and Human Health |
| References | PAC, 2016, 88, 239. 'Glossary of terms used in computational drug design, part II (IUPAC Recommendations 2015)' on page 244 (https://doi.org/10.1515/pac-2012-1204) |
| See also | False negative; False positive; True negative; True positive |
Record as JSON
{
"id": "MLC-T-CHM-002426",
"term": "Confusion matrix",
"field": "Chemistry",
"definition": "A tabular summary used to evaluate the performance of a classification model by comparing its predicted classifications against the actual, known outcomes. The matrix displays the counts of true positives, true negatives, false positives, and false negatives in a square grid where rows represent the actual class and columns represent the predicted class. From these four outcomes, metrics such as accuracy, precision, and recall can be calculated.",
"subject": "Chemistry and Human Health",
"see_also": [
"false negative",
"false positive",
"true negative",
"true positive"
],
"references": [
"PAC, 2016, 88, 239. 'Glossary of terms used in computational drug design, part II (IUPAC Recommendations 2015)' on page 244 (https://doi.org/10.1515/pac-2012-1204)"
],
"url": "https://mlchart.com/terminology/chemistry/confusion-matrix/"
}
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