[2026-01-31T10:39:54.369Z] Running test renaissance-movie-lens_0 ... [2026-01-31T10:39:54.369Z] =============================================== [2026-01-31T10:39:54.369Z] renaissance-movie-lens_0 Start Time: Sat Jan 31 10:39:53 2026 Epoch Time (ms): 1769855993631 [2026-01-31T10:39:54.369Z] variation: NoOptions [2026-01-31T10:39:54.369Z] JVM_OPTIONS: [2026-01-31T10:39:54.369Z] { \ [2026-01-31T10:39:54.369Z] echo ""; echo "TEST SETUP:"; \ [2026-01-31T10:39:54.369Z] echo "Nothing to be done for setup."; \ [2026-01-31T10:39:54.369Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17698545732452/renaissance-movie-lens_0"; \ [2026-01-31T10:39:54.369Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17698545732452/renaissance-movie-lens_0"; \ [2026-01-31T10:39:54.369Z] echo ""; echo "TESTING:"; \ [2026-01-31T10:39:54.369Z] "/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_17698545732452/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-31T10:39:54.369Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17698545732452/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-31T10:39:54.369Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-31T10:39:54.369Z] echo "Nothing to be done for teardown."; \ [2026-01-31T10:39:54.369Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17698545732452/TestTargetResult"; [2026-01-31T10:39:54.369Z] [2026-01-31T10:39:54.369Z] TEST SETUP: [2026-01-31T10:39:54.369Z] Nothing to be done for setup. [2026-01-31T10:39:54.369Z] [2026-01-31T10:39:54.369Z] TESTING: [2026-01-31T10:39:55.024Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-31T10:39:55.024Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/output_17698545732452/renaissance-movie-lens_0/launcher-103953-1324419155926330021/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-31T10:39:55.024Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-31T10:39:55.024Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-31T10:39:59.812Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-01-31T10:40:05.799Z] 10:40:05.046 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. [2026-01-31T10:40:07.803Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-31T10:40:09.118Z] Training: 60056, validation: 20285, test: 19854 [2026-01-31T10:40:09.118Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-31T10:40:09.118Z] GC before operation: completed in 240.267 ms, heap usage 230.988 MB -> 75.530 MB. [2026-01-31T10:40:16.499Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:40:22.842Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:40:26.747Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:40:30.661Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:40:32.803Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:40:34.913Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:40:37.016Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:40:39.189Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:40:39.189Z] 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. [2026-01-31T10:40:39.830Z] The best model improves the baseline by 14.34%. [2026-01-31T10:40:39.830Z] Top recommended movies for user id 72: [2026-01-31T10:40:39.830Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-31T10:40:39.830Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-31T10:40:39.830Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-31T10:40:39.830Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-31T10:40:39.830Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-31T10:40:39.830Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (30502.327 ms) ====== [2026-01-31T10:40:39.830Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-31T10:40:39.830Z] GC before operation: completed in 214.748 ms, heap usage 316.152 MB -> 96.145 MB. [2026-01-31T10:40:42.746Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:40:46.600Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:40:50.416Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:40:52.470Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:40:54.605Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:40:56.629Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:40:58.700Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:41:00.038Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:41:00.656Z] 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. [2026-01-31T10:41:00.656Z] The best model improves the baseline by 14.34%. [2026-01-31T10:41:00.656Z] Top recommended movies for user id 72: [2026-01-31T10:41:00.656Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-31T10:41:00.656Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-31T10:41:00.656Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-31T10:41:00.656Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-31T10:41:00.656Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-31T10:41:00.656Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (20860.465 ms) ====== [2026-01-31T10:41:00.656Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-31T10:41:01.284Z] GC before operation: completed in 181.844 ms, heap usage 148.460 MB -> 87.510 MB. [2026-01-31T10:41:04.227Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:41:07.288Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:41:10.633Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:41:13.499Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:41:14.841Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:41:16.981Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:41:19.020Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:41:20.339Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:41:20.978Z] 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. [2026-01-31T10:41:20.978Z] The best model improves the baseline by 14.34%. [2026-01-31T10:41:20.978Z] Top recommended movies for user id 72: [2026-01-31T10:41:20.978Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-31T10:41:20.978Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-31T10:41:20.978Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-31T10:41:20.978Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-31T10:41:20.978Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-31T10:41:20.978Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (19888.767 ms) ====== [2026-01-31T10:41:20.978Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-31T10:41:20.978Z] GC before operation: completed in 199.910 ms, heap usage 166.616 MB -> 88.204 MB. [2026-01-31T10:41:23.898Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:41:26.825Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:41:29.778Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:41:32.673Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:41:34.849Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:41:36.203Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:41:38.325Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:41:40.499Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:41:40.499Z] 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. [2026-01-31T10:41:40.499Z] The best model improves the baseline by 14.34%. [2026-01-31T10:41:40.499Z] Top recommended movies for user id 72: [2026-01-31T10:41:40.499Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-31T10:41:40.499Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-31T10:41:40.499Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-31T10:41:40.499Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-31T10:41:40.499Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-31T10:41:40.499Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19546.588 ms) ====== [2026-01-31T10:41:40.499Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-31T10:41:41.137Z] GC before operation: completed in 210.755 ms, heap usage 139.668 MB -> 88.489 MB. [2026-01-31T10:41:44.118Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:41:47.037Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:41:49.849Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:41:51.921Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:41:53.280Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:41:55.366Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:41:57.674Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:41:58.961Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:41:59.576Z] 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. [2026-01-31T10:41:59.576Z] The best model improves the baseline by 14.34%. [2026-01-31T10:41:59.576Z] Top recommended movies for user id 72: [2026-01-31T10:41:59.576Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-31T10:41:59.576Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-31T10:41:59.576Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-31T10:41:59.576Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-31T10:41:59.576Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-31T10:41:59.576Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (18654.590 ms) ====== [2026-01-31T10:41:59.576Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-31T10:41:59.576Z] GC before operation: completed in 153.423 ms, heap usage 114.390 MB -> 88.394 MB. [2026-01-31T10:42:02.395Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:42:05.258Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:42:08.141Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:42:10.222Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:42:12.282Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:42:13.586Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:42:15.618Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:42:16.899Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:42:16.899Z] 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. [2026-01-31T10:42:16.899Z] The best model improves the baseline by 14.34%. [2026-01-31T10:42:16.899Z] Top recommended movies for user id 72: [2026-01-31T10:42:16.899Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-31T10:42:16.899Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-31T10:42:16.899Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-31T10:42:16.899Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-31T10:42:16.899Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-31T10:42:16.899Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (17514.318 ms) ====== [2026-01-31T10:42:16.899Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-31T10:42:17.517Z] GC before operation: completed in 205.729 ms, heap usage 300.211 MB -> 89.135 MB. [2026-01-31T10:42:20.389Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:42:23.268Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:42:26.219Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:42:29.181Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:42:31.428Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:42:33.639Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:42:35.789Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:42:37.155Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:42:37.827Z] 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. [2026-01-31T10:42:37.827Z] The best model improves the baseline by 14.34%. [2026-01-31T10:42:37.827Z] Top recommended movies for user id 72: [2026-01-31T10:42:37.827Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-31T10:42:37.827Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-31T10:42:37.827Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-31T10:42:37.828Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-31T10:42:37.828Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-31T10:42:37.828Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20715.825 ms) ====== [2026-01-31T10:42:37.828Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-31T10:42:38.478Z] GC before operation: completed in 212.705 ms, heap usage 248.462 MB -> 88.994 MB. [2026-01-31T10:42:41.449Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:42:44.542Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:42:48.148Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:42:51.165Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:42:53.311Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:42:54.747Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:42:57.051Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:42:59.241Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:42:59.856Z] 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. [2026-01-31T10:42:59.856Z] The best model improves the baseline by 14.34%. [2026-01-31T10:42:59.856Z] Top recommended movies for user id 72: [2026-01-31T10:42:59.856Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-31T10:42:59.856Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-31T10:42:59.856Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-31T10:42:59.856Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-31T10:42:59.856Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-31T10:42:59.856Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (21502.700 ms) ====== [2026-01-31T10:42:59.856Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-31T10:42:59.856Z] GC before operation: completed in 168.396 ms, heap usage 301.537 MB -> 89.335 MB. [2026-01-31T10:43:03.809Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:43:07.789Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:43:11.718Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:43:14.691Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:43:16.040Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:43:18.149Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:43:20.342Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:43:22.498Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:43:22.498Z] 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. [2026-01-31T10:43:22.498Z] The best model improves the baseline by 14.34%. [2026-01-31T10:43:22.498Z] Top recommended movies for user id 72: [2026-01-31T10:43:22.498Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-31T10:43:22.498Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-31T10:43:22.498Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-31T10:43:22.498Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-31T10:43:22.498Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-31T10:43:22.498Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (22746.992 ms) ====== [2026-01-31T10:43:22.498Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-31T10:43:23.159Z] GC before operation: completed in 190.997 ms, heap usage 234.153 MB -> 89.069 MB. [2026-01-31T10:43:26.016Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:43:28.088Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:43:30.917Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:43:32.924Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:43:34.220Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:43:35.683Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:43:37.710Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:43:39.026Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:43:39.640Z] 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. [2026-01-31T10:43:39.640Z] The best model improves the baseline by 14.34%. [2026-01-31T10:43:39.640Z] Top recommended movies for user id 72: [2026-01-31T10:43:39.640Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-31T10:43:39.641Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-31T10:43:39.641Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-31T10:43:39.641Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-31T10:43:39.641Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-31T10:43:39.641Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (17010.958 ms) ====== [2026-01-31T10:43:39.641Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-31T10:43:40.320Z] GC before operation: completed in 219.381 ms, heap usage 216.426 MB -> 89.195 MB. [2026-01-31T10:43:42.388Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:43:45.239Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:43:47.368Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:43:50.142Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:43:51.428Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:43:52.769Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:43:54.848Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:43:56.896Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:43:56.896Z] 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. [2026-01-31T10:43:56.896Z] The best model improves the baseline by 14.34%. [2026-01-31T10:43:56.896Z] Top recommended movies for user id 72: [2026-01-31T10:43:56.896Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-31T10:43:56.896Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-31T10:43:56.896Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-31T10:43:56.896Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-31T10:43:56.896Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-31T10:43:56.896Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (16916.328 ms) ====== [2026-01-31T10:43:56.896Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-31T10:43:57.540Z] GC before operation: completed in 215.778 ms, heap usage 222.006 MB -> 89.034 MB. [2026-01-31T10:44:00.626Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:44:02.672Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:44:05.568Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:44:08.528Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:44:09.920Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:44:11.285Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:44:13.344Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:44:15.389Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:44:15.389Z] 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. [2026-01-31T10:44:15.389Z] The best model improves the baseline by 14.34%. [2026-01-31T10:44:15.389Z] Top recommended movies for user id 72: [2026-01-31T10:44:15.389Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-31T10:44:15.389Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-31T10:44:15.389Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-31T10:44:15.389Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-31T10:44:15.389Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-31T10:44:15.389Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18268.636 ms) ====== [2026-01-31T10:44:15.389Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-31T10:44:16.029Z] GC before operation: completed in 188.127 ms, heap usage 191.636 MB -> 89.093 MB. [2026-01-31T10:44:18.075Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:44:20.967Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:44:24.246Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:44:25.588Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:44:27.645Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:44:28.966Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:44:31.071Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:44:32.360Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:44:32.983Z] 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. [2026-01-31T10:44:32.983Z] The best model improves the baseline by 14.34%. [2026-01-31T10:44:32.983Z] Top recommended movies for user id 72: [2026-01-31T10:44:32.983Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-31T10:44:32.983Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-31T10:44:32.983Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-31T10:44:32.983Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-31T10:44:32.983Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-31T10:44:32.983Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (17177.454 ms) ====== [2026-01-31T10:44:32.984Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-31T10:44:32.984Z] GC before operation: completed in 189.518 ms, heap usage 351.500 MB -> 89.542 MB. [2026-01-31T10:44:35.849Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:44:38.866Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:44:41.834Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:44:44.819Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:44:46.183Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:44:48.363Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:44:49.700Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:44:51.830Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:44:51.830Z] 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. [2026-01-31T10:44:51.830Z] The best model improves the baseline by 14.34%. [2026-01-31T10:44:52.479Z] Top recommended movies for user id 72: [2026-01-31T10:44:52.479Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-31T10:44:52.479Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-31T10:44:52.479Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-31T10:44:52.479Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-31T10:44:52.479Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-31T10:44:52.479Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19085.289 ms) ====== [2026-01-31T10:44:52.479Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-31T10:44:52.479Z] GC before operation: completed in 185.074 ms, heap usage 119.323 MB -> 88.934 MB. [2026-01-31T10:44:55.433Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:44:59.324Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:45:03.278Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:45:05.356Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:45:07.525Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:45:09.706Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:45:11.119Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:45:12.998Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:45:13.647Z] 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. [2026-01-31T10:45:13.647Z] The best model improves the baseline by 14.34%. [2026-01-31T10:45:13.647Z] Top recommended movies for user id 72: [2026-01-31T10:45:13.647Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-31T10:45:13.647Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-31T10:45:13.647Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-31T10:45:13.647Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-31T10:45:13.647Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-31T10:45:13.647Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (21437.401 ms) ====== [2026-01-31T10:45:13.647Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-31T10:45:14.302Z] GC before operation: completed in 273.007 ms, heap usage 216.066 MB -> 89.329 MB. [2026-01-31T10:45:17.306Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:45:20.247Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:45:24.331Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:45:26.497Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:45:28.737Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:45:30.057Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:45:33.089Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:45:34.471Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:45:35.108Z] 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. [2026-01-31T10:45:35.108Z] The best model improves the baseline by 14.34%. [2026-01-31T10:45:35.108Z] Top recommended movies for user id 72: [2026-01-31T10:45:35.108Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-31T10:45:35.108Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-31T10:45:35.108Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-31T10:45:35.108Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-31T10:45:35.108Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-31T10:45:35.108Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (21267.646 ms) ====== [2026-01-31T10:45:35.108Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-31T10:45:35.732Z] GC before operation: completed in 185.971 ms, heap usage 348.973 MB -> 89.391 MB. [2026-01-31T10:45:39.754Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:45:42.886Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:45:45.901Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:45:49.889Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:45:52.002Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:45:53.387Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:45:56.350Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:45:57.733Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:45:58.386Z] 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. [2026-01-31T10:45:58.386Z] The best model improves the baseline by 14.34%. [2026-01-31T10:45:58.386Z] Top recommended movies for user id 72: [2026-01-31T10:45:58.386Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-31T10:45:58.386Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-31T10:45:58.386Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-31T10:45:58.386Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-31T10:45:58.386Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-31T10:45:58.386Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (22802.946 ms) ====== [2026-01-31T10:45:58.386Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-31T10:45:58.386Z] GC before operation: completed in 201.059 ms, heap usage 167.420 MB -> 89.211 MB. [2026-01-31T10:46:02.358Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:46:05.699Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:46:08.735Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:46:11.651Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:46:13.818Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:46:15.224Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:46:17.518Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:46:19.744Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:46:19.744Z] 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. [2026-01-31T10:46:19.744Z] The best model improves the baseline by 14.34%. [2026-01-31T10:46:20.385Z] Top recommended movies for user id 72: [2026-01-31T10:46:20.385Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-31T10:46:20.385Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-31T10:46:20.385Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-31T10:46:20.385Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-31T10:46:20.385Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-31T10:46:20.385Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (21550.410 ms) ====== [2026-01-31T10:46:20.385Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-31T10:46:20.385Z] GC before operation: completed in 180.439 ms, heap usage 248.275 MB -> 89.219 MB. [2026-01-31T10:46:23.410Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:46:27.257Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:46:30.218Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:46:33.238Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:46:35.371Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:46:36.716Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:46:38.837Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:46:40.162Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:46:40.800Z] 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. [2026-01-31T10:46:40.800Z] The best model improves the baseline by 14.34%. [2026-01-31T10:46:40.800Z] Top recommended movies for user id 72: [2026-01-31T10:46:40.800Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-31T10:46:40.800Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-31T10:46:40.800Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-31T10:46:40.800Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-31T10:46:40.800Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-31T10:46:40.800Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (20517.324 ms) ====== [2026-01-31T10:46:40.800Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-31T10:46:40.800Z] GC before operation: completed in 222.220 ms, heap usage 400.829 MB -> 89.577 MB. [2026-01-31T10:46:43.792Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:46:46.758Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:46:49.679Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:46:53.047Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:46:54.374Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:46:56.471Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:46:57.824Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:46:59.896Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:46:59.896Z] 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. [2026-01-31T10:46:59.896Z] The best model improves the baseline by 14.34%. [2026-01-31T10:46:59.896Z] Top recommended movies for user id 72: [2026-01-31T10:46:59.896Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-31T10:46:59.896Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-31T10:46:59.896Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-31T10:46:59.896Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-31T10:46:59.896Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-31T10:46:59.896Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19080.531 ms) ====== [2026-01-31T10:47:00.507Z] ----------------------------------- [2026-01-31T10:47:00.507Z] renaissance-movie-lens_0_PASSED [2026-01-31T10:47:00.507Z] ----------------------------------- [2026-01-31T10:47:00.507Z] [2026-01-31T10:47:00.507Z] TEST TEARDOWN: [2026-01-31T10:47:00.507Z] Nothing to be done for teardown. [2026-01-31T10:47:00.507Z] renaissance-movie-lens_0 Finish Time: Sat Jan 31 10:47:00 2026 Epoch Time (ms): 1769856420170