diff options
Diffstat (limited to 'mllib/src/main/scala/org/apache/spark/mllib/evaluation/MulticlassMetrics.scala')
| -rw-r--r-- | mllib/src/main/scala/org/apache/spark/mllib/evaluation/MulticlassMetrics.scala | 17 |
1 files changed, 14 insertions, 3 deletions
diff --git a/mllib/src/main/scala/org/apache/spark/mllib/evaluation/MulticlassMetrics.scala b/mllib/src/main/scala/org/apache/spark/mllib/evaluation/MulticlassMetrics.scala index 5dde2bdb17..719695a338 100644 --- a/mllib/src/main/scala/org/apache/spark/mllib/evaluation/MulticlassMetrics.scala +++ b/mllib/src/main/scala/org/apache/spark/mllib/evaluation/MulticlassMetrics.scala @@ -139,7 +139,8 @@ class MulticlassMetrics @Since("1.1.0") (predictionAndLabels: RDD[(Double, Doubl * Returns precision */ @Since("1.1.0") - lazy val precision: Double = tpByClass.values.sum.toDouble / labelCount + @deprecated("Use accuracy.", "2.0.0") + lazy val precision: Double = accuracy /** * Returns recall @@ -148,14 +149,24 @@ class MulticlassMetrics @Since("1.1.0") (predictionAndLabels: RDD[(Double, Doubl * of all false negatives) */ @Since("1.1.0") - lazy val recall: Double = precision + @deprecated("Use accuracy.", "2.0.0") + lazy val recall: Double = accuracy /** * Returns f-measure * (equals to precision and recall because precision equals recall) */ @Since("1.1.0") - lazy val fMeasure: Double = precision + @deprecated("Use accuracy.", "2.0.0") + lazy val fMeasure: Double = accuracy + + /** + * Returns accuracy + * (equals to the total number of correctly classified instances + * out of the total number of instances.) + */ + @Since("2.0.0") + lazy val accuracy: Double = tpByClass.values.sum.toDouble / labelCount /** * Returns weighted true positive rate |