Databricks Certified Machine Learning Professional Practice Mode

Community Discussion

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• Chose A0

  ,B - Correct answer s : A, B — `"accuracy"`, which reports the overall fraction of rows correctly classified across all ten classes.; `"weightedPrecision"`, which averages per-class precision weighted by each class's support in the dataset. A . `"accuracy"` is a valid `MulticlassClassificationEvaluator` metric name and directly reports the overall fraction of correctly classified rows across all classes, matching the request for a single correctness metric. B . `"weightedPrecision"` is a valid metric name that averages per-class precision weighted by class support, matching the request for a support-weighted precision average across the ten classes. C . `"f1"` is a valid `MulticlassClassificationEvaluator` metric, but it reports a precision/recall harmonic mean rather than a support-weighted precision average, so it does not satisfy the second requirement specifically. D . `"areaUnderROC"` belongs to `BinaryClassificationEvaluator` for two-class problems; it is not a valid `metricName` on `MulticlassClassificationEvaluator` for a ten-class problem. E . `"rmse"` is a `RegressionEvaluator` metric for continuous numeric targets; it is not a valid `metricName` on `MulticlassClassificationEvaluator` for categorical class labels. F . `"r2"` is a `RegressionEvaluator` metric describing explained variance for continuous targets; it is not defined for a multiclass categorical classification problem.