Test Result : RandomForestClassifierSuite

0 failures (±0)
16 tests (±0)
Took 28 sec.

All Tests

Test nameDurationStatus
Binary classification with continuous features and node Id cache: comparing DecisionTree vs. RandomForest(numTrees = 1)0.52 secPassed
Binary classification with continuous features: comparing DecisionTree vs. RandomForest(numTrees = 1)0.97 secPassed
Feature importance with toy data0.21 secPassed
Fitting without numClasses in metadata0.3 secPassed
SPARK-33398: Load RandomForestClassificationModel prior to Spark 3.00.5 secPassed
alternating categorical and continuous features with multiclass labels to test indexing0.32 secPassed
model support predict leaf index60 msPassed
params4 msPassed
predictRaw and predictProbability2.9 secPassed
prediction on single instance0.43 secPassed
read/write2.4 secPassed
should support all NumericType labels and not support other types1.4 secPassed
subsampling rate in RandomForest0.73 secPassed
summary for binary and multiclass3.3 secPassed
training with sample weights13 secPassed
tree params0.49 secPassed