[2026-04-22T14:32:25.377Z] Running test renaissance-movie-lens_0 ... [2026-04-22T14:32:25.377Z] =============================================== [2026-04-22T14:32:25.377Z] renaissance-movie-lens_0 Start Time: Wed Apr 22 14:32:24 2026 Epoch Time (ms): 1776868344710 [2026-04-22T14:32:25.377Z] variation: NoOptions [2026-04-22T14:32:25.377Z] JVM_OPTIONS: [2026-04-22T14:32:25.377Z] { \ [2026-04-22T14:32:25.377Z] echo ""; echo "TEST SETUP:"; \ [2026-04-22T14:32:25.377Z] echo "Nothing to be done for setup."; \ [2026-04-22T14:32:25.377Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17768671854959/renaissance-movie-lens_0"; \ [2026-04-22T14:32:25.377Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17768671854959/renaissance-movie-lens_0"; \ [2026-04-22T14:32:25.377Z] echo ""; echo "TESTING:"; \ [2026-04-22T14:32:25.377Z] "/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_17768671854959/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-22T14:32:25.377Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17768671854959/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-22T14:32:25.377Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-22T14:32:25.377Z] echo "Nothing to be done for teardown."; \ [2026-04-22T14:32:25.377Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17768671854959/TestTargetResult"; [2026-04-22T14:32:25.377Z] [2026-04-22T14:32:25.377Z] TEST SETUP: [2026-04-22T14:32:25.377Z] Nothing to be done for setup. [2026-04-22T14:32:25.377Z] [2026-04-22T14:32:25.377Z] TESTING: [2026-04-22T14:32:26.003Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-04-22T14:32:26.003Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/output_17768671854959/renaissance-movie-lens_0/launcher-143224-12894123074092483575/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-04-22T14:32:26.003Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-04-22T14:32:26.003Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-04-22T14:32:29.882Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-04-22T14:32:34.709Z] 14:32:33.807 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-04-22T14:32:36.806Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-22T14:32:36.806Z] Training: 60056, validation: 20285, test: 19854 [2026-04-22T14:32:36.806Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-22T14:32:37.451Z] GC before operation: completed in 179.570 ms, heap usage 154.109 MB -> 75.491 MB. [2026-04-22T14:32:44.798Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:32:48.299Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:32:52.454Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:32:55.093Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:32:56.408Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:33:00.417Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:33:00.417Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:33:01.850Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:33:02.499Z] 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. [2026-04-22T14:33:02.499Z] The best model improves the baseline by 14.34%. [2026-04-22T14:33:02.499Z] Top recommended movies for user id 72: [2026-04-22T14:33:02.499Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-22T14:33:02.499Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-22T14:33:02.499Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-22T14:33:02.499Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-22T14:33:02.499Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-22T14:33:02.499Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (25335.379 ms) ====== [2026-04-22T14:33:02.499Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-22T14:33:02.499Z] GC before operation: completed in 175.477 ms, heap usage 230.235 MB -> 96.865 MB. [2026-04-22T14:33:05.509Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:33:08.414Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:33:10.609Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:33:12.701Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:33:14.843Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:33:15.776Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:33:17.911Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:33:19.243Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:33:19.243Z] 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. [2026-04-22T14:33:19.244Z] The best model improves the baseline by 14.34%. [2026-04-22T14:33:19.877Z] Top recommended movies for user id 72: [2026-04-22T14:33:19.877Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-22T14:33:19.877Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-22T14:33:19.877Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-22T14:33:19.877Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-22T14:33:19.877Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-22T14:33:19.877Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16815.642 ms) ====== [2026-04-22T14:33:19.877Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-22T14:33:19.877Z] GC before operation: completed in 136.707 ms, heap usage 154.634 MB -> 87.617 MB. [2026-04-22T14:33:21.920Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:33:24.791Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:33:26.876Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:33:29.000Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:33:31.140Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:33:32.500Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:33:33.875Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:33:35.293Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:33:35.948Z] 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. [2026-04-22T14:33:35.948Z] The best model improves the baseline by 14.34%. [2026-04-22T14:33:35.948Z] Top recommended movies for user id 72: [2026-04-22T14:33:35.948Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-22T14:33:35.948Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-22T14:33:35.948Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-22T14:33:35.948Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-22T14:33:35.948Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-22T14:33:35.948Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16174.822 ms) ====== [2026-04-22T14:33:35.948Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-22T14:33:35.948Z] GC before operation: completed in 178.292 ms, heap usage 208.923 MB -> 88.273 MB. [2026-04-22T14:33:38.892Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:33:40.943Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:33:43.815Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:33:45.868Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:33:47.197Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:33:48.891Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:33:50.201Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:33:51.669Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:33:51.669Z] 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. [2026-04-22T14:33:51.669Z] The best model improves the baseline by 14.34%. [2026-04-22T14:33:51.669Z] Top recommended movies for user id 72: [2026-04-22T14:33:51.669Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-22T14:33:51.669Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-22T14:33:51.669Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-22T14:33:51.669Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-22T14:33:51.669Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-22T14:33:51.669Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15848.563 ms) ====== [2026-04-22T14:33:51.669Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-22T14:33:52.305Z] GC before operation: completed in 167.588 ms, heap usage 397.868 MB -> 88.979 MB. [2026-04-22T14:33:54.403Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:33:57.363Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:34:00.282Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:34:01.596Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:34:03.671Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:34:04.992Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:34:06.318Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:34:08.402Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:34:08.402Z] 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. [2026-04-22T14:34:08.402Z] The best model improves the baseline by 14.34%. [2026-04-22T14:34:08.402Z] Top recommended movies for user id 72: [2026-04-22T14:34:08.402Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-22T14:34:08.402Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-22T14:34:08.402Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-22T14:34:08.402Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-22T14:34:08.402Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-22T14:34:08.402Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16512.819 ms) ====== [2026-04-22T14:34:08.402Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-22T14:34:09.031Z] GC before operation: completed in 138.925 ms, heap usage 210.541 MB -> 88.650 MB. [2026-04-22T14:34:11.945Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:34:14.951Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:34:17.140Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:34:20.120Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:34:21.933Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:34:23.285Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:34:24.622Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:34:26.682Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:34:26.682Z] 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. [2026-04-22T14:34:26.682Z] The best model improves the baseline by 14.34%. [2026-04-22T14:34:26.682Z] Top recommended movies for user id 72: [2026-04-22T14:34:26.682Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-22T14:34:26.682Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-22T14:34:26.682Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-22T14:34:26.682Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-22T14:34:26.682Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-22T14:34:26.682Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18031.674 ms) ====== [2026-04-22T14:34:26.682Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-22T14:34:26.682Z] GC before operation: completed in 157.886 ms, heap usage 176.264 MB -> 88.828 MB. [2026-04-22T14:34:29.656Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:34:32.617Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:34:35.522Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:34:38.559Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:34:39.976Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:34:41.349Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:34:44.450Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:34:45.265Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:34:45.265Z] 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. [2026-04-22T14:34:45.265Z] The best model improves the baseline by 14.34%. [2026-04-22T14:34:45.265Z] Top recommended movies for user id 72: [2026-04-22T14:34:45.265Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-22T14:34:45.265Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-22T14:34:45.266Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-22T14:34:45.266Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-22T14:34:45.266Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-22T14:34:45.266Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (18257.385 ms) ====== [2026-04-22T14:34:45.266Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-22T14:34:45.266Z] GC before operation: completed in 204.824 ms, heap usage 351.307 MB -> 89.198 MB. [2026-04-22T14:34:48.267Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:34:50.410Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:34:53.952Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:34:56.154Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:34:57.587Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:34:59.008Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:35:02.329Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:35:02.329Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:35:02.329Z] 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. [2026-04-22T14:35:02.329Z] The best model improves the baseline by 14.34%. [2026-04-22T14:35:03.065Z] Top recommended movies for user id 72: [2026-04-22T14:35:03.065Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-22T14:35:03.065Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-22T14:35:03.065Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-22T14:35:03.065Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-22T14:35:03.065Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-22T14:35:03.065Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (17277.510 ms) ====== [2026-04-22T14:35:03.065Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-22T14:35:03.065Z] GC before operation: completed in 209.351 ms, heap usage 162.495 MB -> 89.017 MB. [2026-04-22T14:35:05.723Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:35:08.766Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:35:11.891Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:35:14.032Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:35:15.374Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:35:16.698Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:35:18.851Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:35:20.265Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:35:20.945Z] 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. [2026-04-22T14:35:20.945Z] The best model improves the baseline by 14.34%. [2026-04-22T14:35:20.945Z] Top recommended movies for user id 72: [2026-04-22T14:35:20.945Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-22T14:35:20.945Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-22T14:35:20.945Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-22T14:35:20.945Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-22T14:35:20.945Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-22T14:35:20.945Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (17993.391 ms) ====== [2026-04-22T14:35:20.945Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-22T14:35:20.945Z] GC before operation: completed in 206.179 ms, heap usage 204.479 MB -> 88.874 MB. [2026-04-22T14:35:24.010Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:35:27.092Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:35:29.232Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:35:31.512Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:35:32.871Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:35:35.101Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:35:36.665Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:35:38.139Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:35:38.139Z] 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. [2026-04-22T14:35:38.139Z] The best model improves the baseline by 14.34%. [2026-04-22T14:35:38.139Z] Top recommended movies for user id 72: [2026-04-22T14:35:38.139Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-22T14:35:38.139Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-22T14:35:38.139Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-22T14:35:38.139Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-22T14:35:38.139Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-22T14:35:38.139Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (17193.123 ms) ====== [2026-04-22T14:35:38.139Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-22T14:35:38.139Z] GC before operation: completed in 171.992 ms, heap usage 190.190 MB -> 89.150 MB. [2026-04-22T14:35:40.893Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:35:43.230Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:35:46.235Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:35:48.447Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:35:49.861Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:35:53.774Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:35:53.774Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:35:55.226Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:35:55.916Z] 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. [2026-04-22T14:35:55.916Z] The best model improves the baseline by 14.34%. [2026-04-22T14:35:55.916Z] Top recommended movies for user id 72: [2026-04-22T14:35:55.916Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-22T14:35:55.916Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-22T14:35:55.916Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-22T14:35:55.916Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-22T14:35:55.916Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-22T14:35:55.916Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (17382.467 ms) ====== [2026-04-22T14:35:55.916Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-22T14:35:55.916Z] GC before operation: completed in 196.658 ms, heap usage 227.964 MB -> 88.895 MB. [2026-04-22T14:35:59.024Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:36:02.112Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:36:08.373Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:36:08.373Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:36:10.554Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:36:11.961Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:36:14.138Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:36:15.541Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:36:15.541Z] 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. [2026-04-22T14:36:15.541Z] The best model improves the baseline by 14.34%. [2026-04-22T14:36:15.541Z] Top recommended movies for user id 72: [2026-04-22T14:36:15.541Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-22T14:36:15.541Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-22T14:36:15.541Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-22T14:36:15.541Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-22T14:36:15.541Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-22T14:36:15.541Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19777.256 ms) ====== [2026-04-22T14:36:15.541Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-22T14:36:16.172Z] GC before operation: completed in 161.181 ms, heap usage 465.725 MB -> 92.667 MB. [2026-04-22T14:36:19.138Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:36:21.340Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:36:23.689Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:36:25.927Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:36:28.093Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:36:32.211Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:36:32.211Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:36:32.875Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:36:32.875Z] 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. [2026-04-22T14:36:32.875Z] The best model improves the baseline by 14.34%. [2026-04-22T14:36:32.875Z] Top recommended movies for user id 72: [2026-04-22T14:36:32.875Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-22T14:36:32.875Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-22T14:36:32.875Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-22T14:36:32.875Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-22T14:36:32.875Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-22T14:36:32.875Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (16990.104 ms) ====== [2026-04-22T14:36:32.875Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-22T14:36:32.875Z] GC before operation: completed in 164.098 ms, heap usage 217.882 MB -> 89.217 MB. [2026-04-22T14:36:35.900Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:36:38.013Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:36:41.137Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:36:43.388Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:36:45.656Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:36:47.045Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:36:48.562Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:36:50.856Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:36:50.856Z] 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. [2026-04-22T14:36:50.856Z] The best model improves the baseline by 14.34%. [2026-04-22T14:36:50.856Z] Top recommended movies for user id 72: [2026-04-22T14:36:50.856Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-22T14:36:50.856Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-22T14:36:50.856Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-22T14:36:50.856Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-22T14:36:50.856Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-22T14:36:50.856Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (17720.982 ms) ====== [2026-04-22T14:36:50.856Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-22T14:36:50.856Z] GC before operation: completed in 169.476 ms, heap usage 302.758 MB -> 89.281 MB. [2026-04-22T14:36:53.857Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:36:56.030Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:36:59.186Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:37:01.335Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:37:03.105Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:37:04.481Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:37:05.887Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:37:07.341Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:37:07.341Z] 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. [2026-04-22T14:37:07.341Z] The best model improves the baseline by 14.34%. [2026-04-22T14:37:08.007Z] Top recommended movies for user id 72: [2026-04-22T14:37:08.008Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-22T14:37:08.008Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-22T14:37:08.008Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-22T14:37:08.008Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-22T14:37:08.008Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-22T14:37:08.008Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (16649.704 ms) ====== [2026-04-22T14:37:08.008Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-22T14:37:08.008Z] GC before operation: completed in 203.795 ms, heap usage 311.500 MB -> 89.414 MB. [2026-04-22T14:37:10.135Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:37:13.275Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:37:15.439Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:37:18.000Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:37:19.384Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:37:20.810Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:37:23.028Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:37:24.405Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:37:24.405Z] 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. [2026-04-22T14:37:24.405Z] The best model improves the baseline by 14.34%. [2026-04-22T14:37:24.405Z] Top recommended movies for user id 72: [2026-04-22T14:37:24.405Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-22T14:37:24.405Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-22T14:37:24.405Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-22T14:37:24.405Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-22T14:37:24.405Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-22T14:37:24.405Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (16814.813 ms) ====== [2026-04-22T14:37:24.405Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-22T14:37:25.057Z] GC before operation: completed in 196.989 ms, heap usage 217.280 MB -> 89.158 MB. [2026-04-22T14:37:27.196Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:37:30.269Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:37:33.285Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:37:35.524Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:37:36.960Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:37:38.386Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:37:40.073Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:37:42.371Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:37:42.371Z] 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. [2026-04-22T14:37:42.371Z] The best model improves the baseline by 14.34%. [2026-04-22T14:37:42.371Z] Top recommended movies for user id 72: [2026-04-22T14:37:42.371Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-22T14:37:42.371Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-22T14:37:42.371Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-22T14:37:42.371Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-22T14:37:42.371Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-22T14:37:42.371Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (17646.313 ms) ====== [2026-04-22T14:37:42.371Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-22T14:37:43.056Z] GC before operation: completed in 207.158 ms, heap usage 224.812 MB -> 89.416 MB. [2026-04-22T14:37:45.245Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:37:48.272Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:37:51.293Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:37:53.462Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:37:54.858Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:37:57.091Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:37:58.492Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:37:59.857Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:37:59.857Z] 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. [2026-04-22T14:37:59.857Z] The best model improves the baseline by 14.34%. [2026-04-22T14:38:00.522Z] Top recommended movies for user id 72: [2026-04-22T14:38:00.522Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-22T14:38:00.522Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-22T14:38:00.522Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-22T14:38:00.522Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-22T14:38:00.522Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-22T14:38:00.522Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (17571.896 ms) ====== [2026-04-22T14:38:00.522Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-22T14:38:00.522Z] GC before operation: completed in 170.683 ms, heap usage 355.523 MB -> 89.369 MB. [2026-04-22T14:38:03.551Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:38:05.650Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:38:07.809Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:38:10.097Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:38:12.285Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:38:13.698Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:38:15.324Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:38:16.756Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:38:16.756Z] 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. [2026-04-22T14:38:17.461Z] The best model improves the baseline by 14.34%. [2026-04-22T14:38:17.461Z] Top recommended movies for user id 72: [2026-04-22T14:38:17.461Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-22T14:38:17.461Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-22T14:38:17.461Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-22T14:38:17.461Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-22T14:38:17.461Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-22T14:38:17.461Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (16799.157 ms) ====== [2026-04-22T14:38:17.461Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-22T14:38:17.461Z] GC before operation: completed in 176.924 ms, heap usage 176.144 MB -> 89.076 MB. [2026-04-22T14:38:20.522Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T14:38:22.808Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T14:38:25.917Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T14:38:31.874Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T14:38:31.874Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T14:38:31.874Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T14:38:34.269Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T14:38:35.672Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T14:38:36.365Z] 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. [2026-04-22T14:38:36.365Z] The best model improves the baseline by 14.34%. [2026-04-22T14:38:36.365Z] Top recommended movies for user id 72: [2026-04-22T14:38:36.365Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-22T14:38:36.365Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-22T14:38:36.365Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-22T14:38:36.365Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-22T14:38:36.365Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-22T14:38:36.365Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18918.118 ms) ====== [2026-04-22T14:38:39.766Z] ----------------------------------- [2026-04-22T14:38:39.766Z] renaissance-movie-lens_0_PASSED [2026-04-22T14:38:39.766Z] ----------------------------------- [2026-04-22T14:38:39.766Z] [2026-04-22T14:38:39.766Z] TEST TEARDOWN: [2026-04-22T14:38:39.766Z] Nothing to be done for teardown. [2026-04-22T14:38:39.766Z] renaissance-movie-lens_0 Finish Time: Wed Apr 22 14:38:36 2026 Epoch Time (ms): 1776868716553