[2026-01-21T11:24:59.840Z] Running test renaissance-movie-lens_0 ... [2026-01-21T11:24:59.840Z] =============================================== [2026-01-21T11:24:59.840Z] renaissance-movie-lens_0 Start Time: Wed Jan 21 11:24:59 2026 Epoch Time (ms): 1768994699024 [2026-01-21T11:24:59.840Z] variation: NoOptions [2026-01-21T11:24:59.840Z] JVM_OPTIONS: [2026-01-21T11:24:59.840Z] { \ [2026-01-21T11:24:59.840Z] echo ""; echo "TEST SETUP:"; \ [2026-01-21T11:24:59.840Z] echo "Nothing to be done for setup."; \ [2026-01-21T11:24:59.840Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_1768993597924/renaissance-movie-lens_0"; \ [2026-01-21T11:24:59.840Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_1768993597924/renaissance-movie-lens_0"; \ [2026-01-21T11:24:59.840Z] echo ""; echo "TESTING:"; \ [2026-01-21T11:24:59.840Z] "/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_1768993597924/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-21T11:24:59.840Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_1768993597924/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-21T11:24:59.840Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-21T11:24:59.840Z] echo "Nothing to be done for teardown."; \ [2026-01-21T11:24:59.840Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_1768993597924/TestTargetResult"; [2026-01-21T11:24:59.840Z] [2026-01-21T11:24:59.840Z] TEST SETUP: [2026-01-21T11:24:59.840Z] Nothing to be done for setup. [2026-01-21T11:24:59.840Z] [2026-01-21T11:24:59.840Z] TESTING: [2026-01-21T11:24:59.840Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-21T11:24:59.840Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/output_1768993597924/renaissance-movie-lens_0/launcher-112459-4139206130679715064/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-21T11:24:59.840Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-21T11:24:59.840Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-21T11:25:04.601Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-01-21T11:25:10.590Z] 11:25:09.637 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. [2026-01-21T11:25:12.682Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-21T11:25:14.041Z] Training: 60056, validation: 20285, test: 19854 [2026-01-21T11:25:14.041Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-21T11:25:14.041Z] GC before operation: completed in 219.090 ms, heap usage 191.566 MB -> 75.595 MB. [2026-01-21T11:25:20.034Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:25:26.005Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:25:29.773Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:25:33.561Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:25:36.003Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:25:38.043Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:25:40.080Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:25:41.425Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:25:42.062Z] 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. [2026-01-21T11:25:42.062Z] The best model improves the baseline by 14.34%. [2026-01-21T11:25:42.062Z] Top recommended movies for user id 72: [2026-01-21T11:25:42.062Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:25:42.062Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:25:42.062Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:25:42.062Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:25:42.062Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:25:42.062Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (28368.000 ms) ====== [2026-01-21T11:25:42.062Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-21T11:25:42.698Z] GC before operation: completed in 183.224 ms, heap usage 234.739 MB -> 85.990 MB. [2026-01-21T11:25:45.549Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:25:49.346Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:25:52.210Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:25:55.061Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:25:57.101Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:25:59.178Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:26:01.237Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:26:03.305Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:26:03.305Z] 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. [2026-01-21T11:26:03.305Z] The best model improves the baseline by 14.34%. [2026-01-21T11:26:03.305Z] Top recommended movies for user id 72: [2026-01-21T11:26:03.305Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:26:03.305Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:26:03.305Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:26:03.305Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:26:03.305Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:26:03.305Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (21060.617 ms) ====== [2026-01-21T11:26:03.305Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-21T11:26:03.954Z] GC before operation: completed in 168.843 ms, heap usage 424.960 MB -> 88.212 MB. [2026-01-21T11:26:06.816Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:26:09.669Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:26:12.530Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:26:15.381Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:26:16.690Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:26:18.413Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:26:19.721Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:26:21.020Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:26:21.644Z] 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. [2026-01-21T11:26:21.644Z] The best model improves the baseline by 14.34%. [2026-01-21T11:26:21.644Z] Top recommended movies for user id 72: [2026-01-21T11:26:21.644Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:26:21.644Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:26:21.644Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:26:21.644Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:26:21.644Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:26:21.644Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17876.349 ms) ====== [2026-01-21T11:26:21.644Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-21T11:26:21.644Z] GC before operation: completed in 160.122 ms, heap usage 202.503 MB -> 88.276 MB. [2026-01-21T11:26:24.522Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:26:26.572Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:26:29.462Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:26:31.505Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:26:33.541Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:26:34.882Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:26:36.186Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:26:37.502Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:26:37.502Z] 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. [2026-01-21T11:26:37.502Z] The best model improves the baseline by 14.34%. [2026-01-21T11:26:38.133Z] Top recommended movies for user id 72: [2026-01-21T11:26:38.133Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:26:38.133Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:26:38.133Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:26:38.133Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:26:38.133Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:26:38.133Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16161.678 ms) ====== [2026-01-21T11:26:38.133Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-21T11:26:38.133Z] GC before operation: completed in 180.955 ms, heap usage 162.169 MB -> 88.722 MB. [2026-01-21T11:26:40.266Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:26:43.107Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:26:45.961Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:26:48.006Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:26:49.332Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:26:50.653Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:26:52.740Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:26:54.047Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:26:54.047Z] 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. [2026-01-21T11:26:54.047Z] The best model improves the baseline by 14.34%. [2026-01-21T11:26:54.047Z] Top recommended movies for user id 72: [2026-01-21T11:26:54.047Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:26:54.047Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:26:54.047Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:26:54.047Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:26:54.047Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:26:54.047Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16216.509 ms) ====== [2026-01-21T11:26:54.047Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-21T11:26:54.690Z] GC before operation: completed in 160.528 ms, heap usage 216.567 MB -> 88.636 MB. [2026-01-21T11:26:57.108Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:26:59.992Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:27:02.031Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:27:04.900Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:27:06.208Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:27:07.525Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:27:08.846Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:27:10.153Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:27:10.783Z] 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. [2026-01-21T11:27:10.783Z] The best model improves the baseline by 14.34%. [2026-01-21T11:27:10.783Z] Top recommended movies for user id 72: [2026-01-21T11:27:10.783Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:27:10.783Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:27:10.783Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:27:10.783Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:27:10.783Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:27:10.783Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16436.688 ms) ====== [2026-01-21T11:27:10.783Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-21T11:27:11.419Z] GC before operation: completed in 194.952 ms, heap usage 215.990 MB -> 89.047 MB. [2026-01-21T11:27:13.468Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:27:16.318Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:27:19.198Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:27:21.280Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:27:23.338Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:27:24.661Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:27:25.973Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:27:27.302Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:27:27.939Z] 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. [2026-01-21T11:27:27.939Z] The best model improves the baseline by 14.34%. [2026-01-21T11:27:27.939Z] Top recommended movies for user id 72: [2026-01-21T11:27:27.939Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:27:27.939Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:27:27.939Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:27:27.939Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:27:27.939Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:27:27.939Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16895.352 ms) ====== [2026-01-21T11:27:27.939Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-21T11:27:27.939Z] GC before operation: completed in 216.835 ms, heap usage 351.760 MB -> 89.281 MB. [2026-01-21T11:27:31.792Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:27:33.836Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:27:37.025Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:27:39.885Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:27:41.200Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:27:43.250Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:27:44.558Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:27:45.897Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:27:46.529Z] 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. [2026-01-21T11:27:46.529Z] The best model improves the baseline by 14.34%. [2026-01-21T11:27:46.529Z] Top recommended movies for user id 72: [2026-01-21T11:27:46.529Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:27:46.529Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:27:46.529Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:27:46.529Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:27:46.529Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:27:46.529Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (18369.606 ms) ====== [2026-01-21T11:27:46.529Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-21T11:27:46.529Z] GC before operation: completed in 185.286 ms, heap usage 153.660 MB -> 89.198 MB. [2026-01-21T11:27:49.407Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:27:52.589Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:27:55.431Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:27:57.471Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:27:59.516Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:28:00.814Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:28:02.862Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:28:04.180Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:28:04.180Z] 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. [2026-01-21T11:28:04.180Z] The best model improves the baseline by 14.34%. [2026-01-21T11:28:04.180Z] Top recommended movies for user id 72: [2026-01-21T11:28:04.180Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:28:04.180Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:28:04.180Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:28:04.180Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:28:04.180Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:28:04.180Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (17555.078 ms) ====== [2026-01-21T11:28:04.180Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-21T11:28:04.180Z] GC before operation: completed in 135.761 ms, heap usage 449.972 MB -> 92.716 MB. [2026-01-21T11:28:07.039Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:28:09.887Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:28:11.930Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:28:14.786Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:28:16.098Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:28:17.397Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:28:19.073Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:28:21.126Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:28:21.126Z] 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. [2026-01-21T11:28:21.126Z] The best model improves the baseline by 14.34%. [2026-01-21T11:28:21.126Z] Top recommended movies for user id 72: [2026-01-21T11:28:21.126Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:28:21.126Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:28:21.126Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:28:21.126Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:28:21.126Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:28:21.752Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (16974.538 ms) ====== [2026-01-21T11:28:21.752Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-21T11:28:21.752Z] GC before operation: completed in 170.736 ms, heap usage 397.108 MB -> 89.564 MB. [2026-01-21T11:28:24.622Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:28:26.676Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:28:29.517Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:28:32.360Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:28:33.657Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:28:34.980Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:28:36.280Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:28:38.321Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:28:38.321Z] 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. [2026-01-21T11:28:38.321Z] The best model improves the baseline by 14.34%. [2026-01-21T11:28:38.321Z] Top recommended movies for user id 72: [2026-01-21T11:28:38.321Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:28:38.321Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:28:38.321Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:28:38.321Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:28:38.321Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:28:38.321Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (16727.510 ms) ====== [2026-01-21T11:28:38.321Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-21T11:28:38.321Z] GC before operation: completed in 169.678 ms, heap usage 106.045 MB -> 88.857 MB. [2026-01-21T11:28:41.273Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:28:44.134Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:28:46.174Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:28:48.207Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:28:49.610Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:28:50.917Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:28:52.251Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:28:53.555Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:28:53.555Z] 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. [2026-01-21T11:28:54.180Z] The best model improves the baseline by 14.34%. [2026-01-21T11:28:54.180Z] Top recommended movies for user id 72: [2026-01-21T11:28:54.180Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:28:54.180Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:28:54.180Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:28:54.180Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:28:54.180Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:28:54.180Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15490.182 ms) ====== [2026-01-21T11:28:54.180Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-21T11:28:54.180Z] GC before operation: completed in 165.301 ms, heap usage 304.633 MB -> 89.329 MB. [2026-01-21T11:28:56.628Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:28:58.675Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:29:00.803Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:29:03.684Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:29:05.002Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:29:06.316Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:29:07.626Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:29:09.798Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:29:09.798Z] 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. [2026-01-21T11:29:09.798Z] The best model improves the baseline by 14.34%. [2026-01-21T11:29:09.798Z] Top recommended movies for user id 72: [2026-01-21T11:29:09.798Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:29:09.798Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:29:09.798Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:29:09.798Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:29:09.798Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:29:09.798Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15564.375 ms) ====== [2026-01-21T11:29:09.798Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-21T11:29:09.798Z] GC before operation: completed in 152.724 ms, heap usage 243.456 MB -> 89.368 MB. [2026-01-21T11:29:12.676Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:29:14.756Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:29:17.650Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:29:19.692Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:29:21.741Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:29:23.083Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:29:24.391Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:29:26.443Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:29:26.443Z] 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. [2026-01-21T11:29:26.443Z] The best model improves the baseline by 14.34%. [2026-01-21T11:29:26.443Z] Top recommended movies for user id 72: [2026-01-21T11:29:26.443Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:29:26.443Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:29:26.443Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:29:26.443Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:29:26.443Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:29:26.443Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (16517.380 ms) ====== [2026-01-21T11:29:26.443Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-21T11:29:26.443Z] GC before operation: completed in 203.131 ms, heap usage 221.315 MB -> 89.237 MB. [2026-01-21T11:29:29.309Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:29:31.341Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:29:33.391Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:29:35.850Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:29:37.150Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:29:38.522Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:29:39.830Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:29:41.126Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:29:41.756Z] 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. [2026-01-21T11:29:41.756Z] The best model improves the baseline by 14.34%. [2026-01-21T11:29:41.756Z] Top recommended movies for user id 72: [2026-01-21T11:29:41.756Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:29:41.756Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:29:41.756Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:29:41.756Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:29:41.756Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:29:41.756Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15013.786 ms) ====== [2026-01-21T11:29:41.756Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-21T11:29:41.756Z] GC before operation: completed in 214.199 ms, heap usage 248.236 MB -> 89.423 MB. [2026-01-21T11:29:44.602Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:29:46.669Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:29:48.707Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:29:51.555Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:29:52.863Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:29:53.486Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:29:55.519Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:29:56.143Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:29:56.769Z] 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. [2026-01-21T11:29:56.769Z] The best model improves the baseline by 14.34%. [2026-01-21T11:29:56.769Z] Top recommended movies for user id 72: [2026-01-21T11:29:56.769Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:29:56.769Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:29:56.769Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:29:56.769Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:29:56.769Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:29:56.769Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14892.154 ms) ====== [2026-01-21T11:29:56.769Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-21T11:29:56.769Z] GC before operation: completed in 152.708 ms, heap usage 303.867 MB -> 89.441 MB. [2026-01-21T11:29:58.800Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:30:00.830Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:30:03.281Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:30:04.582Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:30:05.881Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:30:07.190Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:30:08.491Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:30:09.790Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:30:09.790Z] 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. [2026-01-21T11:30:09.790Z] The best model improves the baseline by 14.34%. [2026-01-21T11:30:09.790Z] Top recommended movies for user id 72: [2026-01-21T11:30:09.790Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:30:09.790Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:30:09.790Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:30:09.790Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:30:09.790Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:30:09.790Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (13186.887 ms) ====== [2026-01-21T11:30:09.790Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-21T11:30:10.415Z] GC before operation: completed in 149.241 ms, heap usage 242.955 MB -> 89.402 MB. [2026-01-21T11:30:12.449Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:30:14.488Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:30:16.530Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:30:18.572Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:30:19.889Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:30:21.187Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:30:22.491Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:30:23.117Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:30:23.748Z] 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. [2026-01-21T11:30:23.748Z] The best model improves the baseline by 14.34%. [2026-01-21T11:30:23.748Z] Top recommended movies for user id 72: [2026-01-21T11:30:23.748Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:30:23.748Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:30:23.748Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:30:23.748Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:30:23.748Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:30:23.748Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (13497.630 ms) ====== [2026-01-21T11:30:23.748Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-21T11:30:23.748Z] GC before operation: completed in 164.404 ms, heap usage 244.538 MB -> 89.226 MB. [2026-01-21T11:30:25.781Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:30:27.835Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:30:30.687Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:30:32.722Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:30:34.028Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:30:35.335Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:30:36.641Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:30:37.948Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:30:38.572Z] 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. [2026-01-21T11:30:38.572Z] The best model improves the baseline by 14.34%. [2026-01-21T11:30:38.572Z] Top recommended movies for user id 72: [2026-01-21T11:30:38.572Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:30:38.572Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:30:38.572Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:30:38.572Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:30:38.572Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:30:38.572Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14589.485 ms) ====== [2026-01-21T11:30:38.572Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-21T11:30:38.572Z] GC before operation: completed in 178.626 ms, heap usage 242.500 MB -> 89.302 MB. [2026-01-21T11:30:40.602Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:30:43.446Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:30:45.486Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:30:47.536Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:30:48.172Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:30:49.474Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:30:50.772Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:30:52.122Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:30:53.138Z] 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. [2026-01-21T11:30:53.138Z] The best model improves the baseline by 14.34%. [2026-01-21T11:30:53.138Z] Top recommended movies for user id 72: [2026-01-21T11:30:53.138Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:30:53.138Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:30:53.138Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:30:53.138Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:30:53.138Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:30:53.138Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14474.975 ms) ====== [2026-01-21T11:30:53.762Z] ----------------------------------- [2026-01-21T11:30:53.762Z] renaissance-movie-lens_0_PASSED [2026-01-21T11:30:53.762Z] ----------------------------------- [2026-01-21T11:30:53.762Z] [2026-01-21T11:30:53.762Z] TEST TEARDOWN: [2026-01-21T11:30:53.762Z] Nothing to be done for teardown. [2026-01-21T11:30:53.762Z] renaissance-movie-lens_0 Finish Time: Wed Jan 21 11:30:53 2026 Epoch Time (ms): 1768995053109