[2026-04-02T21:50:18.482Z] Running test renaissance-movie-lens_0 ... [2026-04-02T21:50:18.482Z] =============================================== [2026-04-02T21:50:18.482Z] renaissance-movie-lens_0 Start Time: Thu Apr 2 21:50:17 2026 Epoch Time (ms): 1775166617029 [2026-04-02T21:50:18.482Z] variation: NoOptions [2026-04-02T21:50:18.482Z] JVM_OPTIONS: [2026-04-02T21:50:18.482Z] { \ [2026-04-02T21:50:18.482Z] echo ""; echo "TEST SETUP:"; \ [2026-04-02T21:50:18.482Z] echo "Nothing to be done for setup."; \ [2026-04-02T21:50:18.482Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17751649975867/renaissance-movie-lens_0"; \ [2026-04-02T21:50:18.482Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17751649975867/renaissance-movie-lens_0"; \ [2026-04-02T21:50:18.482Z] echo ""; echo "TESTING:"; \ [2026-04-02T21:50:18.482Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17751649975867/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-02T21:50:18.482Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17751649975867/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-02T21:50:18.482Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-02T21:50:18.482Z] echo "Nothing to be done for teardown."; \ [2026-04-02T21:50:18.482Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17751649975867/TestTargetResult"; [2026-04-02T21:50:18.482Z] [2026-04-02T21:50:18.482Z] TEST SETUP: [2026-04-02T21:50:18.482Z] Nothing to be done for setup. [2026-04-02T21:50:18.482Z] [2026-04-02T21:50:18.482Z] TESTING: [2026-04-02T21:50:18.482Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-04-02T21:50:18.482Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/output_17751649975867/renaissance-movie-lens_0/launcher-215017-5807858164849815972/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-04-02T21:50:18.482Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-04-02T21:50:18.482Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-04-02T21:50:24.035Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-04-02T21:50:33.621Z] 21:50:32.650 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-04-02T21:50:37.025Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-02T21:50:38.584Z] Training: 60056, validation: 20285, test: 19854 [2026-04-02T21:50:38.584Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-02T21:50:39.421Z] GC before operation: completed in 438.020 ms, heap usage 146.140 MB -> 75.416 MB. [2026-04-02T21:50:47.338Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T21:50:53.991Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T21:51:00.582Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T21:51:05.827Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T21:51:10.163Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T21:51:13.441Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T21:51:16.720Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T21:51:19.947Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T21:51:19.947Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-02T21:51:19.947Z] The best model improves the baseline by 14.34%. [2026-04-02T21:51:20.640Z] Top recommended movies for user id 72: [2026-04-02T21:51:20.640Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-02T21:51:20.640Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-02T21:51:20.640Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-02T21:51:20.640Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-02T21:51:20.640Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-02T21:51:20.640Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (41477.086 ms) ====== [2026-04-02T21:51:20.640Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-02T21:51:20.640Z] GC before operation: completed in 373.118 ms, heap usage 223.654 MB -> 100.665 MB. [2026-04-02T21:51:25.965Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T21:51:30.199Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T21:51:35.653Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T21:51:38.885Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T21:51:41.251Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T21:51:43.591Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T21:51:45.751Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T21:51:49.032Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T21:51:49.032Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-02T21:51:49.032Z] The best model improves the baseline by 14.34%. [2026-04-02T21:51:49.032Z] Top recommended movies for user id 72: [2026-04-02T21:51:49.032Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-02T21:51:49.032Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-02T21:51:49.032Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-02T21:51:49.032Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-02T21:51:49.032Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-02T21:51:49.032Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (28267.079 ms) ====== [2026-04-02T21:51:49.032Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-02T21:51:49.821Z] GC before operation: completed in 377.502 ms, heap usage 289.527 MB -> 87.453 MB. [2026-04-02T21:51:54.065Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T21:51:58.222Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T21:52:02.385Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T21:52:06.712Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T21:52:09.093Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T21:52:11.421Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T21:52:15.640Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T21:52:17.890Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T21:52:17.890Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-02T21:52:17.890Z] The best model improves the baseline by 14.34%. [2026-04-02T21:52:18.597Z] Top recommended movies for user id 72: [2026-04-02T21:52:18.597Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-02T21:52:18.597Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-02T21:52:18.597Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-02T21:52:18.597Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-02T21:52:18.597Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-02T21:52:18.597Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (28693.002 ms) ====== [2026-04-02T21:52:18.597Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-02T21:52:18.597Z] GC before operation: completed in 396.102 ms, heap usage 371.923 MB -> 88.300 MB. [2026-04-02T21:52:22.706Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T21:52:26.874Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T21:52:31.201Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T21:52:35.444Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T21:52:37.689Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T21:52:40.072Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T21:52:42.469Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T21:52:44.743Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T21:52:45.621Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-02T21:52:45.621Z] The best model improves the baseline by 14.34%. [2026-04-02T21:52:45.621Z] Top recommended movies for user id 72: [2026-04-02T21:52:45.621Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-02T21:52:45.621Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-02T21:52:45.621Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-02T21:52:45.621Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-02T21:52:45.621Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-02T21:52:45.621Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (27053.767 ms) ====== [2026-04-02T21:52:45.621Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-02T21:52:46.340Z] GC before operation: completed in 304.204 ms, heap usage 213.691 MB -> 88.301 MB. [2026-04-02T21:52:50.510Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T21:52:54.713Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T21:52:58.937Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T21:53:03.141Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T21:53:06.102Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T21:53:07.611Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T21:53:10.359Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T21:53:11.801Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T21:53:12.485Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-02T21:53:12.485Z] The best model improves the baseline by 14.34%. [2026-04-02T21:53:12.485Z] Top recommended movies for user id 72: [2026-04-02T21:53:12.485Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-02T21:53:12.485Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-02T21:53:12.485Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-02T21:53:12.485Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-02T21:53:12.485Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-02T21:53:12.485Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (26675.337 ms) ====== [2026-04-02T21:53:12.485Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-02T21:53:13.201Z] GC before operation: completed in 293.292 ms, heap usage 200.499 MB -> 88.204 MB. [2026-04-02T21:53:17.390Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T21:53:20.571Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T21:53:24.911Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T21:53:28.026Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T21:53:30.341Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T21:53:32.621Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T21:53:34.121Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T21:53:36.411Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T21:53:37.151Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-02T21:53:37.151Z] The best model improves the baseline by 14.34%. [2026-04-02T21:53:37.151Z] Top recommended movies for user id 72: [2026-04-02T21:53:37.151Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-02T21:53:37.151Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-02T21:53:37.151Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-02T21:53:37.151Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-02T21:53:37.151Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-02T21:53:37.151Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (24084.968 ms) ====== [2026-04-02T21:53:37.151Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-02T21:53:37.151Z] GC before operation: completed in 276.498 ms, heap usage 235.673 MB -> 88.592 MB. [2026-04-02T21:53:40.837Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T21:53:44.092Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T21:53:48.142Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T21:53:52.331Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T21:53:54.599Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T21:53:56.912Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T21:53:59.141Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T21:54:01.415Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T21:54:02.216Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-02T21:54:02.216Z] The best model improves the baseline by 14.34%. [2026-04-02T21:54:02.216Z] Top recommended movies for user id 72: [2026-04-02T21:54:02.216Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-02T21:54:02.216Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-02T21:54:02.216Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-02T21:54:02.216Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-02T21:54:02.216Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-02T21:54:02.216Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (24832.612 ms) ====== [2026-04-02T21:54:02.216Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-02T21:54:02.216Z] GC before operation: completed in 260.274 ms, heap usage 218.739 MB -> 88.588 MB. [2026-04-02T21:54:06.393Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T21:54:10.651Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T21:54:13.886Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T21:54:17.029Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T21:54:19.354Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T21:54:21.704Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T21:54:24.532Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T21:54:26.266Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T21:54:27.009Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-02T21:54:27.009Z] The best model improves the baseline by 14.34%. [2026-04-02T21:54:27.009Z] Top recommended movies for user id 72: [2026-04-02T21:54:27.009Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-02T21:54:27.009Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-02T21:54:27.009Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-02T21:54:27.009Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-02T21:54:27.009Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-02T21:54:27.009Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (24560.636 ms) ====== [2026-04-02T21:54:27.009Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-02T21:54:27.009Z] GC before operation: completed in 169.952 ms, heap usage 215.849 MB -> 88.749 MB. [2026-04-02T21:54:31.255Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T21:54:35.526Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T21:54:39.664Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T21:54:42.946Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T21:54:45.197Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T21:54:46.647Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T21:54:48.891Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T21:54:51.171Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T21:54:51.171Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-02T21:54:51.171Z] The best model improves the baseline by 14.34%. [2026-04-02T21:54:51.171Z] Top recommended movies for user id 72: [2026-04-02T21:54:51.171Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-02T21:54:51.171Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-02T21:54:51.171Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-02T21:54:51.171Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-02T21:54:51.171Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-02T21:54:51.171Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (24218.437 ms) ====== [2026-04-02T21:54:51.171Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-02T21:54:51.872Z] GC before operation: completed in 238.756 ms, heap usage 116.387 MB -> 88.509 MB. [2026-04-02T21:54:54.934Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T21:54:59.097Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T21:55:03.378Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T21:55:06.521Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T21:55:07.973Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T21:55:10.231Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T21:55:12.420Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T21:55:14.725Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T21:55:14.725Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-02T21:55:14.725Z] The best model improves the baseline by 14.34%. [2026-04-02T21:55:14.725Z] Top recommended movies for user id 72: [2026-04-02T21:55:14.725Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-02T21:55:14.725Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-02T21:55:14.725Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-02T21:55:14.725Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-02T21:55:14.725Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-02T21:55:14.725Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (23385.479 ms) ====== [2026-04-02T21:55:14.725Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-02T21:55:15.434Z] GC before operation: completed in 221.908 ms, heap usage 308.843 MB -> 89.017 MB. [2026-04-02T21:55:18.614Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T21:55:21.710Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T21:55:25.846Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T21:55:28.952Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T21:55:30.336Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T21:55:32.552Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T21:55:34.862Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T21:55:37.150Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T21:55:37.150Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-02T21:55:37.150Z] The best model improves the baseline by 14.34%. [2026-04-02T21:55:37.150Z] Top recommended movies for user id 72: [2026-04-02T21:55:37.150Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-02T21:55:37.150Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-02T21:55:37.150Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-02T21:55:37.150Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-02T21:55:37.150Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-02T21:55:37.150Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (22111.214 ms) ====== [2026-04-02T21:55:37.150Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-02T21:55:37.872Z] GC before operation: completed in 256.596 ms, heap usage 229.819 MB -> 88.694 MB. [2026-04-02T21:55:40.986Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T21:55:45.345Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T21:55:48.555Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T21:55:51.677Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T21:55:53.962Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T21:55:57.274Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T21:55:59.603Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T21:56:02.051Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T21:56:02.051Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-02T21:56:02.051Z] The best model improves the baseline by 14.34%. [2026-04-02T21:56:02.816Z] Top recommended movies for user id 72: [2026-04-02T21:56:02.816Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-02T21:56:02.816Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-02T21:56:02.816Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-02T21:56:02.816Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-02T21:56:02.816Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-02T21:56:02.816Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (24856.736 ms) ====== [2026-04-02T21:56:02.816Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-02T21:56:02.816Z] GC before operation: completed in 294.653 ms, heap usage 229.989 MB -> 88.865 MB. [2026-04-02T21:56:05.961Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T21:56:09.153Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T21:56:12.244Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T21:56:15.467Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T21:56:18.230Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T21:56:19.657Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T21:56:21.925Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T21:56:24.204Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T21:56:24.204Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-02T21:56:24.931Z] The best model improves the baseline by 14.34%. [2026-04-02T21:56:24.931Z] Top recommended movies for user id 72: [2026-04-02T21:56:24.931Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-02T21:56:24.931Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-02T21:56:24.931Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-02T21:56:24.931Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-02T21:56:24.931Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-02T21:56:24.931Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (21971.585 ms) ====== [2026-04-02T21:56:24.931Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-02T21:56:24.931Z] GC before operation: completed in 180.021 ms, heap usage 232.423 MB -> 88.953 MB. [2026-04-02T21:56:29.002Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T21:56:32.133Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T21:56:35.332Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T21:56:38.401Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T21:56:40.681Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T21:56:42.151Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T21:56:44.532Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T21:56:46.794Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T21:56:46.794Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-02T21:56:46.794Z] The best model improves the baseline by 14.34%. [2026-04-02T21:56:46.794Z] Top recommended movies for user id 72: [2026-04-02T21:56:46.794Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-02T21:56:46.794Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-02T21:56:46.794Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-02T21:56:46.794Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-02T21:56:46.794Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-02T21:56:46.794Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (21977.554 ms) ====== [2026-04-02T21:56:46.794Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-02T21:56:46.794Z] GC before operation: completed in 173.804 ms, heap usage 216.100 MB -> 88.742 MB. [2026-04-02T21:56:50.942Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T21:56:54.033Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T21:56:56.738Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T21:56:58.973Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T21:57:01.226Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T21:57:03.548Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T21:57:05.812Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T21:57:07.315Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T21:57:08.021Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-02T21:57:08.021Z] The best model improves the baseline by 14.34%. [2026-04-02T21:57:08.021Z] Top recommended movies for user id 72: [2026-04-02T21:57:08.021Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-02T21:57:08.021Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-02T21:57:08.021Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-02T21:57:08.021Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-02T21:57:08.021Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-02T21:57:08.021Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (21018.093 ms) ====== [2026-04-02T21:57:08.021Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-02T21:57:08.021Z] GC before operation: completed in 169.865 ms, heap usage 226.502 MB -> 89.032 MB. [2026-04-02T21:57:11.211Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T21:57:14.348Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T21:57:18.510Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T21:57:21.621Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T21:57:23.064Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T21:57:25.302Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T21:57:27.581Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T21:57:29.887Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T21:57:29.887Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-02T21:57:29.887Z] The best model improves the baseline by 14.34%. [2026-04-02T21:57:29.887Z] Top recommended movies for user id 72: [2026-04-02T21:57:29.887Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-02T21:57:29.887Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-02T21:57:29.887Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-02T21:57:29.887Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-02T21:57:29.887Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-02T21:57:29.887Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (21883.255 ms) ====== [2026-04-02T21:57:29.887Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-02T21:57:30.592Z] GC before operation: completed in 256.325 ms, heap usage 217.441 MB -> 88.802 MB. [2026-04-02T21:57:35.294Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T21:57:37.657Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T21:57:40.915Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T21:57:44.273Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T21:57:46.621Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T21:57:49.923Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T21:57:52.269Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T21:57:54.552Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T21:57:54.552Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-02T21:57:54.552Z] The best model improves the baseline by 14.34%. [2026-04-02T21:57:55.251Z] Top recommended movies for user id 72: [2026-04-02T21:57:55.251Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-02T21:57:55.251Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-02T21:57:55.251Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-02T21:57:55.251Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-02T21:57:55.251Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-02T21:57:55.251Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (24497.903 ms) ====== [2026-04-02T21:57:55.251Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-02T21:57:55.251Z] GC before operation: completed in 199.430 ms, heap usage 288.994 MB -> 88.977 MB. [2026-04-02T21:57:58.384Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T21:58:02.526Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T21:58:06.615Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T21:58:09.687Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T21:58:11.918Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T21:58:13.767Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T21:58:16.078Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T21:58:18.306Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T21:58:18.306Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-02T21:58:18.306Z] The best model improves the baseline by 14.34%. [2026-04-02T21:58:18.306Z] Top recommended movies for user id 72: [2026-04-02T21:58:18.306Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-02T21:58:18.306Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-02T21:58:18.306Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-02T21:58:18.306Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-02T21:58:18.306Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-02T21:58:18.306Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (23465.763 ms) ====== [2026-04-02T21:58:18.306Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-02T21:58:18.979Z] GC before operation: completed in 188.161 ms, heap usage 442.623 MB -> 92.296 MB. [2026-04-02T21:58:22.055Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T21:58:25.371Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T21:58:29.631Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T21:58:32.791Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T21:58:35.070Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T21:58:37.276Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T21:58:39.667Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T21:58:42.077Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T21:58:42.077Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-02T21:58:42.791Z] The best model improves the baseline by 14.34%. [2026-04-02T21:58:42.791Z] Top recommended movies for user id 72: [2026-04-02T21:58:42.791Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-02T21:58:42.791Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-02T21:58:42.791Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-02T21:58:42.791Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-02T21:58:42.791Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-02T21:58:42.791Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (23832.300 ms) ====== [2026-04-02T21:58:42.791Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-02T21:58:42.791Z] GC before operation: completed in 216.282 ms, heap usage 443.167 MB -> 92.413 MB. [2026-04-02T21:58:47.099Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-02T21:58:50.452Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-02T21:58:54.710Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-02T21:58:57.993Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-02T21:59:00.227Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-02T21:59:02.507Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-02T21:59:03.968Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-02T21:59:06.252Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-02T21:59:06.252Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-02T21:59:06.252Z] The best model improves the baseline by 14.34%. [2026-04-02T21:59:06.252Z] Top recommended movies for user id 72: [2026-04-02T21:59:06.252Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-02T21:59:06.252Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-02T21:59:06.252Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-02T21:59:06.252Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-02T21:59:06.252Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-02T21:59:06.252Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (23743.583 ms) ====== [2026-04-02T21:59:07.626Z] ----------------------------------- [2026-04-02T21:59:07.626Z] renaissance-movie-lens_0_PASSED [2026-04-02T21:59:07.626Z] ----------------------------------- [2026-04-02T21:59:07.626Z] [2026-04-02T21:59:07.626Z] TEST TEARDOWN: [2026-04-02T21:59:07.626Z] Nothing to be done for teardown. [2026-04-02T21:59:07.626Z] renaissance-movie-lens_0 Finish Time: Thu Apr 2 21:59:07 2026 Epoch Time (ms): 1775167147279