Github user zhengruifeng commented on a diff in the pull request:
https://github.com/apache/spark/pull/11303#discussion_r53736887
--- Diff:
mllib/src/test/scala/org/apache/spark/mllib/evaluation/MulticlassMetricsSuite.scala
---
@@ -51,6 +51,9 @@ class MulticlassMetricsSuite extends SparkFunSuite with
MLlibTestSparkContext {
val f2measure0 = (1 + 2 * 2) * precision0 * recall0 / (2 * 2 *
precision0 + recall0)
val f2measure1 = (1 + 2 * 2) * precision1 * recall1 / (2 * 2 *
precision1 + recall1)
val f2measure2 = (1 + 2 * 2) * precision2 * recall2 / (2 * 2 *
precision2 + recall2)
+ val unweighted_kappa = 0.47058823529411764
--- End diff --
The three number are obtained via sklearn and ml_metrics.
In [4]: from sklearn.metrics import cohen_kappa_score
In [5]: from ml_metrics import quadratic_weighted_kappa,
linear_weighted_kappa, kappa
In [6]: preds = [0, 0, 0, 1, 1, 1, 1, 2, 2]
In [7]: labels = [0, 1, 0, 0, 1, 1, 1, 2, 0]
In [8]: cohen_kappa_score(preds, labels)
Out[8]: 0.47058823529411781
In [9]: quadratic_weighted_kappa(preds, labels)
Out[9]: 0.3571428571428571
In [10]: linear_weighted_kappa(preds, labels)
Out[10]: 0.4193548387096774
In [11]: kappa(preds, labels)
Out[11]: 0.47058823529411764
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