[2026-01-14T03:28:39.343Z] Running test renaissance-movie-lens_0 ... [2026-01-14T03:28:39.343Z] =============================================== [2026-01-14T03:28:39.343Z] renaissance-movie-lens_0 Start Time: Wed Jan 14 03:28:38 2026 Epoch Time (ms): 1768361318833 [2026-01-14T03:28:39.343Z] variation: NoOptions [2026-01-14T03:28:39.343Z] JVM_OPTIONS: [2026-01-14T03:28:39.343Z] { \ [2026-01-14T03:28:39.343Z] echo ""; echo "TEST SETUP:"; \ [2026-01-14T03:28:39.343Z] echo "Nothing to be done for setup."; \ [2026-01-14T03:28:39.344Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux_rerun/aqa-tests/TKG/../TKG/output_17683613157416/renaissance-movie-lens_0"; \ [2026-01-14T03:28:39.344Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux_rerun/aqa-tests/TKG/../TKG/output_17683613157416/renaissance-movie-lens_0"; \ [2026-01-14T03:28:39.344Z] echo ""; echo "TESTING:"; \ [2026-01-14T03:28:39.344Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux_rerun/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_openjdk17_hs_extended.perf_s390x_linux_rerun/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux_rerun/aqa-tests/TKG/../TKG/output_17683613157416/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-14T03:28:39.344Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux_rerun/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux_rerun/aqa-tests/TKG/../TKG/output_17683613157416/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-14T03:28:39.344Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-14T03:28:39.344Z] echo "Nothing to be done for teardown."; \ [2026-01-14T03:28:39.344Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux_rerun/aqa-tests/TKG/../TKG/output_17683613157416/TestTargetResult"; [2026-01-14T03:28:39.344Z] [2026-01-14T03:28:39.344Z] TEST SETUP: [2026-01-14T03:28:39.344Z] Nothing to be done for setup. [2026-01-14T03:28:39.344Z] [2026-01-14T03:28:39.344Z] TESTING: [2026-01-14T03:28:48.415Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-01-14T03:28:55.867Z] 03:28:55.488 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-01-14T03:28:59.035Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-14T03:28:59.704Z] Training: 60056, validation: 20285, test: 19854 [2026-01-14T03:28:59.704Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-14T03:29:00.375Z] GC before operation: completed in 401.322 ms, heap usage 257.084 MB -> 75.877 MB. [2026-01-14T03:29:09.625Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T03:29:16.647Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T03:29:21.728Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T03:29:29.268Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T03:29:32.387Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T03:29:36.407Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T03:29:38.587Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T03:29:41.756Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T03:29:42.457Z] 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. [2026-01-14T03:29:42.457Z] The best model improves the baseline by 14.34%. [2026-01-14T03:29:43.175Z] Top recommended movies for user id 72: [2026-01-14T03:29:43.175Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T03:29:43.175Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T03:29:43.175Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T03:29:43.175Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T03:29:43.175Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T03:29:43.175Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (42909.093 ms) ====== [2026-01-14T03:29:43.175Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-14T03:29:43.175Z] GC before operation: completed in 277.872 ms, heap usage 195.442 MB -> 101.658 MB. [2026-01-14T03:29:49.845Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T03:29:54.985Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T03:30:01.437Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T03:30:05.703Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T03:30:08.771Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T03:30:11.837Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T03:30:13.980Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T03:30:17.075Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T03:30:17.756Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-14T03:30:17.756Z] The best model improves the baseline by 14.34%. [2026-01-14T03:30:17.756Z] Top recommended movies for user id 72: [2026-01-14T03:30:17.756Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T03:30:17.756Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T03:30:17.756Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T03:30:17.756Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T03:30:17.756Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T03:30:17.756Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (34525.956 ms) ====== [2026-01-14T03:30:17.756Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-14T03:30:17.756Z] GC before operation: completed in 212.091 ms, heap usage 122.446 MB -> 87.889 MB. [2026-01-14T03:30:22.776Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T03:30:26.702Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T03:30:30.550Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T03:30:34.510Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T03:30:36.647Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T03:30:39.647Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T03:30:41.855Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T03:30:44.059Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T03:30:44.733Z] 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. [2026-01-14T03:30:44.733Z] The best model improves the baseline by 14.34%. [2026-01-14T03:30:44.733Z] Top recommended movies for user id 72: [2026-01-14T03:30:44.733Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T03:30:44.733Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T03:30:44.733Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T03:30:44.733Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T03:30:44.733Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T03:30:44.733Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (26691.144 ms) ====== [2026-01-14T03:30:44.733Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-14T03:30:44.733Z] GC before operation: completed in 202.412 ms, heap usage 534.345 MB -> 92.255 MB. [2026-01-14T03:30:49.657Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T03:30:54.702Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T03:30:58.647Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T03:31:02.605Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T03:31:04.776Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T03:31:06.983Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T03:31:09.965Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T03:31:12.998Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T03:31:12.998Z] 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. [2026-01-14T03:31:12.998Z] The best model improves the baseline by 14.34%. [2026-01-14T03:31:13.673Z] Top recommended movies for user id 72: [2026-01-14T03:31:13.674Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T03:31:13.674Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T03:31:13.674Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T03:31:13.674Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T03:31:13.674Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T03:31:13.674Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (28494.488 ms) ====== [2026-01-14T03:31:13.674Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-14T03:31:13.674Z] GC before operation: completed in 173.487 ms, heap usage 186.973 MB -> 91.012 MB. [2026-01-14T03:31:17.627Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T03:31:22.636Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T03:31:26.626Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T03:31:30.604Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T03:31:32.795Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T03:31:34.204Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T03:31:36.325Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T03:31:38.427Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T03:31:39.073Z] 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. [2026-01-14T03:31:39.073Z] The best model improves the baseline by 14.34%. [2026-01-14T03:31:39.073Z] Top recommended movies for user id 72: [2026-01-14T03:31:39.073Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T03:31:39.073Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T03:31:39.073Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T03:31:39.073Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T03:31:39.073Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T03:31:39.073Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (25505.887 ms) ====== [2026-01-14T03:31:39.073Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-14T03:31:39.073Z] GC before operation: completed in 202.756 ms, heap usage 198.134 MB -> 91.135 MB. [2026-01-14T03:31:42.931Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T03:31:46.933Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T03:31:50.889Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T03:31:53.946Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T03:31:56.109Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T03:31:58.324Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T03:32:00.430Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T03:32:02.523Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T03:32:02.523Z] 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. [2026-01-14T03:32:02.523Z] The best model improves the baseline by 14.34%. [2026-01-14T03:32:03.176Z] Top recommended movies for user id 72: [2026-01-14T03:32:03.176Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T03:32:03.176Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T03:32:03.176Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T03:32:03.176Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T03:32:03.176Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T03:32:03.176Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (23613.407 ms) ====== [2026-01-14T03:32:03.176Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-14T03:32:03.176Z] GC before operation: completed in 181.939 ms, heap usage 400.604 MB -> 89.609 MB. [2026-01-14T03:32:07.550Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T03:32:11.417Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T03:32:15.250Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T03:32:18.198Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T03:32:19.526Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T03:32:21.581Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T03:32:23.598Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T03:32:24.921Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T03:32:24.921Z] 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. [2026-01-14T03:32:24.921Z] The best model improves the baseline by 14.34%. [2026-01-14T03:32:24.921Z] Top recommended movies for user id 72: [2026-01-14T03:32:24.921Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T03:32:24.921Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T03:32:24.921Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T03:32:24.921Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T03:32:24.921Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T03:32:24.921Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (22011.375 ms) ====== [2026-01-14T03:32:24.921Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-14T03:32:25.544Z] GC before operation: completed in 171.169 ms, heap usage 219.261 MB -> 89.225 MB. [2026-01-14T03:32:28.402Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T03:32:31.318Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T03:32:34.216Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T03:32:36.261Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T03:32:38.308Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T03:32:39.613Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T03:32:41.682Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T03:32:42.999Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T03:32:42.999Z] 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. [2026-01-14T03:32:42.999Z] The best model improves the baseline by 14.34%. [2026-01-14T03:32:42.999Z] Top recommended movies for user id 72: [2026-01-14T03:32:42.999Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T03:32:42.999Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T03:32:42.999Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T03:32:42.999Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T03:32:42.999Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T03:32:42.999Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (17999.904 ms) ====== [2026-01-14T03:32:42.999Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-14T03:32:43.618Z] GC before operation: completed in 159.719 ms, heap usage 216.815 MB -> 91.260 MB. [2026-01-14T03:32:45.667Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T03:32:48.546Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T03:32:51.397Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T03:32:54.301Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T03:32:55.666Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T03:32:57.824Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T03:32:59.922Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T03:33:01.237Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T03:33:01.910Z] 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. [2026-01-14T03:33:01.910Z] The best model improves the baseline by 14.34%. [2026-01-14T03:33:01.910Z] Top recommended movies for user id 72: [2026-01-14T03:33:01.910Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T03:33:01.910Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T03:33:01.910Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T03:33:01.910Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T03:33:01.910Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T03:33:01.910Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18774.258 ms) ====== [2026-01-14T03:33:01.910Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-14T03:33:02.563Z] GC before operation: completed in 168.252 ms, heap usage 312.618 MB -> 89.586 MB. [2026-01-14T03:33:05.539Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T03:33:08.492Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T03:33:11.392Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T03:33:14.292Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T03:33:15.656Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T03:33:17.755Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T03:33:19.823Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T03:33:21.151Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T03:33:21.825Z] 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. [2026-01-14T03:33:21.825Z] The best model improves the baseline by 14.34%. [2026-01-14T03:33:21.825Z] Top recommended movies for user id 72: [2026-01-14T03:33:21.825Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T03:33:21.825Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T03:33:21.825Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T03:33:21.825Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T03:33:21.825Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T03:33:21.825Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19426.618 ms) ====== [2026-01-14T03:33:21.825Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-14T03:33:21.825Z] GC before operation: completed in 136.054 ms, heap usage 148.072 MB -> 90.746 MB. [2026-01-14T03:33:24.770Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T03:33:27.964Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T03:33:31.002Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T03:33:33.975Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T03:33:36.226Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T03:33:38.270Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T03:33:39.584Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T03:33:41.689Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T03:33:41.689Z] 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. [2026-01-14T03:33:41.689Z] The best model improves the baseline by 14.34%. [2026-01-14T03:33:42.339Z] Top recommended movies for user id 72: [2026-01-14T03:33:42.339Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T03:33:42.339Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T03:33:42.339Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T03:33:42.339Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T03:33:42.339Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T03:33:42.339Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (20174.799 ms) ====== [2026-01-14T03:33:42.339Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-14T03:33:42.339Z] GC before operation: completed in 189.189 ms, heap usage 397.783 MB -> 89.683 MB. [2026-01-14T03:33:45.305Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T03:33:48.371Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T03:33:51.399Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T03:33:54.339Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T03:33:55.651Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T03:33:56.948Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T03:33:59.050Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T03:34:01.157Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T03:34:01.157Z] 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. [2026-01-14T03:34:01.157Z] The best model improves the baseline by 14.34%. [2026-01-14T03:34:01.157Z] Top recommended movies for user id 72: [2026-01-14T03:34:01.157Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T03:34:01.157Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T03:34:01.157Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T03:34:01.157Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T03:34:01.157Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T03:34:01.157Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18930.198 ms) ====== [2026-01-14T03:34:01.157Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-14T03:34:01.157Z] GC before operation: completed in 205.450 ms, heap usage 142.551 MB -> 89.516 MB. [2026-01-14T03:34:04.166Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T03:34:07.066Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T03:34:10.069Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T03:34:12.970Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T03:34:15.016Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T03:34:16.358Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T03:34:18.465Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T03:34:20.625Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T03:34:20.625Z] 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. [2026-01-14T03:34:20.625Z] The best model improves the baseline by 14.34%. [2026-01-14T03:34:21.259Z] Top recommended movies for user id 72: [2026-01-14T03:34:21.259Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T03:34:21.259Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T03:34:21.259Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T03:34:21.259Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T03:34:21.259Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T03:34:21.259Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19574.547 ms) ====== [2026-01-14T03:34:21.259Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-14T03:34:21.259Z] GC before operation: completed in 158.222 ms, heap usage 171.800 MB -> 89.553 MB. [2026-01-14T03:34:24.252Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T03:34:27.127Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T03:34:31.016Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T03:34:33.104Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T03:34:35.234Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T03:34:37.369Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T03:34:39.546Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T03:34:41.696Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T03:34:41.696Z] 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. [2026-01-14T03:34:41.696Z] The best model improves the baseline by 14.34%. [2026-01-14T03:34:41.696Z] Top recommended movies for user id 72: [2026-01-14T03:34:41.696Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T03:34:41.696Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T03:34:41.696Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T03:34:41.696Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T03:34:41.696Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T03:34:41.696Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20783.142 ms) ====== [2026-01-14T03:34:41.696Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-14T03:34:42.357Z] GC before operation: completed in 146.152 ms, heap usage 386.271 MB -> 89.758 MB. [2026-01-14T03:34:45.448Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T03:34:48.865Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T03:34:51.866Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T03:34:54.818Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T03:34:56.142Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T03:34:58.295Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T03:35:00.454Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T03:35:01.815Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T03:35:02.453Z] 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. [2026-01-14T03:35:02.453Z] The best model improves the baseline by 14.34%. [2026-01-14T03:35:02.453Z] Top recommended movies for user id 72: [2026-01-14T03:35:02.453Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T03:35:02.453Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T03:35:02.453Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T03:35:02.453Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T03:35:02.453Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T03:35:02.453Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (20398.410 ms) ====== [2026-01-14T03:35:02.453Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-14T03:35:02.453Z] GC before operation: completed in 173.742 ms, heap usage 164.933 MB -> 89.583 MB. [2026-01-14T03:35:05.429Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T03:35:08.336Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T03:35:11.246Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T03:35:16.227Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T03:35:18.377Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T03:35:21.379Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T03:35:23.485Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T03:35:24.824Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T03:35:25.495Z] 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. [2026-01-14T03:35:25.495Z] The best model improves the baseline by 14.34%. [2026-01-14T03:35:25.495Z] Top recommended movies for user id 72: [2026-01-14T03:35:25.495Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T03:35:25.495Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T03:35:25.495Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T03:35:25.495Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T03:35:25.495Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T03:35:25.495Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (22938.767 ms) ====== [2026-01-14T03:35:25.495Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-14T03:35:25.495Z] GC before operation: completed in 166.400 ms, heap usage 235.443 MB -> 95.171 MB. [2026-01-14T03:35:29.452Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T03:35:33.502Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T03:35:37.448Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T03:35:40.357Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T03:35:41.728Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T03:35:43.886Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T03:35:45.997Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T03:35:48.130Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T03:35:48.130Z] 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. [2026-01-14T03:35:48.130Z] The best model improves the baseline by 14.34%. [2026-01-14T03:35:48.130Z] Top recommended movies for user id 72: [2026-01-14T03:35:48.130Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T03:35:48.130Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T03:35:48.130Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T03:35:48.130Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T03:35:48.130Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T03:35:48.130Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (22499.224 ms) ====== [2026-01-14T03:35:48.130Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-14T03:35:48.786Z] GC before operation: completed in 177.353 ms, heap usage 147.421 MB -> 91.623 MB. [2026-01-14T03:35:51.711Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T03:35:55.615Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T03:35:57.688Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T03:36:00.600Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T03:36:01.993Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T03:36:03.365Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T03:36:05.426Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T03:36:06.940Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T03:36:06.940Z] 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. [2026-01-14T03:36:06.940Z] The best model improves the baseline by 14.34%. [2026-01-14T03:36:07.599Z] Top recommended movies for user id 72: [2026-01-14T03:36:07.599Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T03:36:07.599Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T03:36:07.599Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T03:36:07.599Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T03:36:07.599Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T03:36:07.599Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18876.651 ms) ====== [2026-01-14T03:36:07.599Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-14T03:36:07.599Z] GC before operation: completed in 221.369 ms, heap usage 361.974 MB -> 89.764 MB. [2026-01-14T03:36:10.610Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T03:36:13.555Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T03:36:16.500Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T03:36:18.552Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T03:36:20.676Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T03:36:22.786Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T03:36:24.851Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T03:36:26.157Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T03:36:26.157Z] 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. [2026-01-14T03:36:26.157Z] The best model improves the baseline by 14.34%. [2026-01-14T03:36:26.856Z] Top recommended movies for user id 72: [2026-01-14T03:36:26.856Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T03:36:26.856Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T03:36:26.856Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T03:36:26.856Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T03:36:26.856Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T03:36:26.856Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19067.533 ms) ====== [2026-01-14T03:36:26.856Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-14T03:36:26.856Z] GC before operation: completed in 180.059 ms, heap usage 177.795 MB -> 89.476 MB. [2026-01-14T03:36:29.808Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T03:36:32.701Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T03:36:35.613Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T03:36:38.545Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T03:36:39.842Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T03:36:41.159Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T03:36:43.210Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T03:36:44.534Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T03:36:45.192Z] 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. [2026-01-14T03:36:45.192Z] The best model improves the baseline by 14.34%. [2026-01-14T03:36:45.192Z] Top recommended movies for user id 72: [2026-01-14T03:36:45.192Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T03:36:45.192Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T03:36:45.192Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T03:36:45.192Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T03:36:45.192Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T03:36:45.192Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18287.958 ms) ====== [2026-01-14T03:36:45.826Z] ----------------------------------- [2026-01-14T03:36:45.826Z] renaissance-movie-lens_0_PASSED [2026-01-14T03:36:45.826Z] ----------------------------------- [2026-01-14T03:36:45.826Z] [2026-01-14T03:36:45.826Z] TEST TEARDOWN: [2026-01-14T03:36:45.826Z] Nothing to be done for teardown. [2026-01-14T03:36:45.826Z] renaissance-movie-lens_0 Finish Time: Wed Jan 14 03:36:45 2026 Epoch Time (ms): 1768361805213