[2026-01-31T11:36:21.648Z] Running test renaissance-movie-lens_0 ... [2026-01-31T11:36:21.648Z] =============================================== [2026-01-31T11:36:21.648Z] renaissance-movie-lens_0 Start Time: Sat Jan 31 06:36:20 2026 Epoch Time (ms): 1769859380211 [2026-01-31T11:36:21.648Z] variation: NoOptions [2026-01-31T11:36:21.648Z] JVM_OPTIONS: [2026-01-31T11:36:21.648Z] { \ [2026-01-31T11:36:21.648Z] echo ""; echo "TEST SETUP:"; \ [2026-01-31T11:36:21.648Z] echo "Nothing to be done for setup."; \ [2026-01-31T11:36:21.648Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17698547936278/renaissance-movie-lens_0"; \ [2026-01-31T11:36:21.648Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17698547936278/renaissance-movie-lens_0"; \ [2026-01-31T11:36:21.648Z] echo ""; echo "TESTING:"; \ [2026-01-31T11:36:21.649Z] "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//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 "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17698547936278/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-31T11:36:21.649Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17698547936278/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-31T11:36:21.649Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-31T11:36:21.649Z] echo "Nothing to be done for teardown."; \ [2026-01-31T11:36:21.649Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17698547936278/TestTargetResult"; [2026-01-31T11:36:21.649Z] [2026-01-31T11:36:21.649Z] TEST SETUP: [2026-01-31T11:36:21.649Z] Nothing to be done for setup. [2026-01-31T11:36:21.649Z] [2026-01-31T11:36:21.649Z] TESTING: [2026-01-31T11:36:23.480Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-31T11:36:23.480Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/output_17698547936278/renaissance-movie-lens_0/launcher-063621-6501461201792627372/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-31T11:36:23.480Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-31T11:36:23.480Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-31T11:36:46.421Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-31T11:37:17.583Z] 06:37:14.780 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-31T11:37:23.845Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-31T11:37:24.394Z] Training: 60056, validation: 20285, test: 19854 [2026-01-31T11:37:24.394Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-31T11:37:24.861Z] GC before operation: completed in 337.385 ms, heap usage 418.373 MB -> 74.470 MB. [2026-01-31T11:38:03.162Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:38:26.426Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:38:49.199Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:39:11.837Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:39:30.767Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:39:40.321Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:39:53.956Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:40:05.630Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:40:07.668Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:40:08.334Z] The best model improves the baseline by 14.52%. [2026-01-31T11:40:09.459Z] Top recommended movies for user id 72: [2026-01-31T11:40:09.459Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:40:09.459Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:40:09.459Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:40:09.459Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:40:09.459Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:40:09.459Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (164815.189 ms) ====== [2026-01-31T11:40:09.459Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-31T11:40:10.112Z] GC before operation: completed in 348.536 ms, heap usage 278.060 MB -> 88.544 MB. [2026-01-31T11:40:36.615Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:40:55.825Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:41:11.341Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:41:24.687Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:41:36.416Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:41:46.561Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:41:56.525Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:42:07.794Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:42:07.794Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:42:07.794Z] The best model improves the baseline by 14.52%. [2026-01-31T11:42:08.824Z] Top recommended movies for user id 72: [2026-01-31T11:42:08.824Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:42:08.824Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:42:08.824Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:42:08.824Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:42:08.824Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:42:08.824Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (118730.751 ms) ====== [2026-01-31T11:42:08.824Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-31T11:42:08.824Z] GC before operation: completed in 379.490 ms, heap usage 399.597 MB -> 87.222 MB. [2026-01-31T11:42:28.005Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:42:50.388Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:43:06.927Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:43:22.614Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:43:30.316Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:43:37.891Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:43:47.007Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:43:58.553Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:43:58.553Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:43:58.553Z] The best model improves the baseline by 14.52%. [2026-01-31T11:43:59.077Z] Top recommended movies for user id 72: [2026-01-31T11:43:59.077Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:43:59.077Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:43:59.077Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:43:59.077Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:43:59.077Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:43:59.077Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (110227.874 ms) ====== [2026-01-31T11:43:59.077Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-31T11:44:00.458Z] GC before operation: completed in 1003.858 ms, heap usage 534.201 MB -> 88.187 MB. [2026-01-31T11:44:22.883Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:44:41.844Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:44:55.262Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:45:13.998Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:45:22.245Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:45:31.591Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:45:41.095Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:45:48.621Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:45:49.075Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:45:49.075Z] The best model improves the baseline by 14.52%. [2026-01-31T11:45:49.690Z] Top recommended movies for user id 72: [2026-01-31T11:45:49.690Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:45:49.690Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:45:49.690Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:45:49.690Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:45:49.690Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:45:49.690Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (109222.276 ms) ====== [2026-01-31T11:45:49.690Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-31T11:45:50.936Z] GC before operation: completed in 1154.688 ms, heap usage 1.582 GB -> 94.288 MB. [2026-01-31T11:46:06.113Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:46:24.757Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:46:52.135Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:47:05.178Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:47:16.269Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:47:25.658Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:47:34.787Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:47:44.248Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:47:45.967Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:47:45.967Z] The best model improves the baseline by 14.52%. [2026-01-31T11:47:45.967Z] Top recommended movies for user id 72: [2026-01-31T11:47:45.967Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:47:45.967Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:47:45.967Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:47:45.967Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:47:45.967Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:47:45.967Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (115395.896 ms) ====== [2026-01-31T11:47:45.967Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-31T11:47:46.527Z] GC before operation: completed in 345.985 ms, heap usage 1.098 GB -> 100.208 MB. [2026-01-31T11:48:04.873Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:48:20.974Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:48:40.012Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:48:55.729Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:49:03.867Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:49:13.022Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:49:19.450Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:49:27.669Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:49:28.810Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:49:28.810Z] The best model improves the baseline by 14.52%. [2026-01-31T11:49:29.251Z] Top recommended movies for user id 72: [2026-01-31T11:49:29.251Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:49:29.251Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:49:29.251Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:49:29.251Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:49:29.251Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:49:29.251Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (102841.720 ms) ====== [2026-01-31T11:49:29.251Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-31T11:49:29.732Z] GC before operation: completed in 417.297 ms, heap usage 120.106 MB -> 94.229 MB. [2026-01-31T11:49:48.551Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:50:06.889Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:50:20.499Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:50:40.197Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:50:46.840Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:50:53.681Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:51:02.858Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:51:10.759Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:51:12.022Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:51:12.525Z] The best model improves the baseline by 14.52%. [2026-01-31T11:51:13.647Z] Top recommended movies for user id 72: [2026-01-31T11:51:13.647Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:51:13.647Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:51:13.647Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:51:13.647Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:51:13.647Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:51:13.647Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (103729.786 ms) ====== [2026-01-31T11:51:13.647Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-31T11:51:13.647Z] GC before operation: completed in 526.374 ms, heap usage 463.370 MB -> 88.594 MB. [2026-01-31T11:51:32.746Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:51:49.261Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:52:11.619Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:52:24.713Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:52:34.270Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:52:43.072Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:52:51.200Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:52:57.758Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:52:58.864Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:52:58.864Z] The best model improves the baseline by 14.52%. [2026-01-31T11:52:59.380Z] Top recommended movies for user id 72: [2026-01-31T11:52:59.380Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:52:59.380Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:52:59.380Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:52:59.380Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:52:59.380Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:52:59.380Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (105463.090 ms) ====== [2026-01-31T11:52:59.380Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-31T11:52:59.995Z] GC before operation: completed in 315.723 ms, heap usage 1.235 GB -> 94.417 MB. [2026-01-31T11:53:15.918Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:53:29.072Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:53:44.729Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:53:57.932Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:54:05.182Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:54:13.982Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:54:24.774Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:54:32.522Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:54:34.200Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:54:34.639Z] The best model improves the baseline by 14.52%. [2026-01-31T11:54:35.088Z] Top recommended movies for user id 72: [2026-01-31T11:54:35.088Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:54:35.088Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:54:35.088Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:54:35.088Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:54:35.088Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:54:35.088Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (95307.381 ms) ====== [2026-01-31T11:54:35.088Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-31T11:54:35.088Z] GC before operation: completed in 227.959 ms, heap usage 108.560 MB -> 88.402 MB. [2026-01-31T11:54:53.515Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:55:12.387Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:55:23.796Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:55:39.547Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:55:51.157Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:55:59.022Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:56:10.293Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:56:16.900Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:56:17.388Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:56:17.388Z] The best model improves the baseline by 14.52%. [2026-01-31T11:56:18.608Z] Top recommended movies for user id 72: [2026-01-31T11:56:18.608Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:56:18.608Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:56:18.608Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:56:18.608Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:56:18.608Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:56:18.608Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (103482.822 ms) ====== [2026-01-31T11:56:18.608Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-31T11:56:19.026Z] GC before operation: completed in 337.661 ms, heap usage 274.436 MB -> 88.633 MB. [2026-01-31T11:56:37.552Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:56:51.209Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:57:14.283Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:57:33.151Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:57:42.476Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:57:53.801Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:58:05.193Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:58:17.195Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:58:18.458Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:58:19.029Z] The best model improves the baseline by 14.52%. [2026-01-31T11:58:19.455Z] Top recommended movies for user id 72: [2026-01-31T11:58:19.455Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:58:19.455Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:58:19.455Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:58:19.455Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:58:19.455Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:58:19.455Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (120481.009 ms) ====== [2026-01-31T11:58:19.455Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-31T11:58:20.026Z] GC before operation: completed in 241.114 ms, heap usage 138.905 MB -> 88.293 MB. [2026-01-31T11:58:42.917Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:58:56.005Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:59:18.396Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:59:34.284Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:59:45.954Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:59:55.766Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T12:00:05.586Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T12:00:14.685Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T12:00:15.158Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T12:00:15.158Z] The best model improves the baseline by 14.52%. [2026-01-31T12:00:15.604Z] Top recommended movies for user id 72: [2026-01-31T12:00:15.604Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T12:00:15.604Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T12:00:15.604Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T12:00:15.604Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T12:00:15.604Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T12:00:15.604Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (115839.803 ms) ====== [2026-01-31T12:00:15.604Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-31T12:00:16.172Z] GC before operation: completed in 464.360 ms, heap usage 739.167 MB -> 92.379 MB. [2026-01-31T12:00:39.077Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T12:01:01.657Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T12:01:17.796Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T12:01:33.570Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T12:01:46.973Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T12:02:00.166Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T12:02:10.130Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T12:02:17.884Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T12:02:18.951Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T12:02:19.443Z] The best model improves the baseline by 14.52%. [2026-01-31T12:02:19.951Z] Top recommended movies for user id 72: [2026-01-31T12:02:19.951Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T12:02:19.951Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T12:02:19.951Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T12:02:19.951Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T12:02:19.951Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T12:02:19.951Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (124114.787 ms) ====== [2026-01-31T12:02:19.951Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-31T12:02:21.028Z] GC before operation: completed in 516.641 ms, heap usage 1.734 GB -> 95.138 MB. [2026-01-31T12:02:39.772Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T12:02:57.955Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T12:03:14.296Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T12:03:30.417Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T12:03:38.118Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T12:03:47.256Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T12:03:52.179Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T12:04:01.123Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T12:04:01.123Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T12:04:01.123Z] The best model improves the baseline by 14.52%. [2026-01-31T12:04:01.655Z] Top recommended movies for user id 72: [2026-01-31T12:04:01.655Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T12:04:01.655Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T12:04:01.655Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T12:04:01.655Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T12:04:01.655Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T12:04:01.655Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (100841.252 ms) ====== [2026-01-31T12:04:01.655Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-31T12:04:02.277Z] GC before operation: completed in 599.228 ms, heap usage 808.016 MB -> 92.623 MB. [2026-01-31T12:04:21.411Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T12:04:34.992Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T12:04:53.847Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T12:05:07.285Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T12:05:13.745Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T12:05:21.251Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T12:05:27.371Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T12:05:35.268Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T12:05:36.391Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T12:05:36.391Z] The best model improves the baseline by 14.52%. [2026-01-31T12:05:36.862Z] Top recommended movies for user id 72: [2026-01-31T12:05:36.862Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T12:05:36.862Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T12:05:36.862Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T12:05:36.862Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T12:05:36.862Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T12:05:36.862Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (94700.249 ms) ====== [2026-01-31T12:05:36.862Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-31T12:05:37.334Z] GC before operation: completed in 430.862 ms, heap usage 639.825 MB -> 92.495 MB. [2026-01-31T12:05:53.253Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T12:06:06.592Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T12:06:22.607Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T12:06:33.251Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T12:06:40.981Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T12:06:49.936Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T12:07:00.874Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T12:07:14.797Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T12:07:15.983Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T12:07:15.983Z] The best model improves the baseline by 14.52%. [2026-01-31T12:07:16.527Z] Top recommended movies for user id 72: [2026-01-31T12:07:16.527Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T12:07:16.527Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T12:07:16.527Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T12:07:16.527Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T12:07:16.527Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T12:07:16.527Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (98979.329 ms) ====== [2026-01-31T12:07:16.527Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-31T12:07:16.527Z] GC before operation: completed in 420.214 ms, heap usage 403.083 MB -> 92.127 MB. [2026-01-31T12:07:35.546Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T12:07:54.361Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T12:08:08.258Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T12:08:21.358Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T12:08:28.824Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T12:08:36.139Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T12:08:47.465Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T12:08:55.509Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T12:08:57.798Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T12:08:57.798Z] The best model improves the baseline by 14.52%. [2026-01-31T12:08:58.452Z] Top recommended movies for user id 72: [2026-01-31T12:08:58.452Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T12:08:58.452Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T12:08:58.452Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T12:08:58.452Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T12:08:58.452Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T12:08:58.452Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (101501.888 ms) ====== [2026-01-31T12:08:58.452Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-31T12:08:58.998Z] GC before operation: completed in 506.509 ms, heap usage 762.271 MB -> 92.605 MB. [2026-01-31T12:09:15.753Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T12:09:34.863Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T12:09:50.793Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T12:10:07.421Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T12:10:18.559Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T12:10:27.705Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T12:10:34.151Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T12:10:43.637Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T12:10:44.188Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T12:10:44.188Z] The best model improves the baseline by 14.52%. [2026-01-31T12:10:44.842Z] Top recommended movies for user id 72: [2026-01-31T12:10:44.842Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T12:10:44.842Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T12:10:44.842Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T12:10:44.842Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T12:10:44.842Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T12:10:44.842Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (106302.345 ms) ====== [2026-01-31T12:10:44.842Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-31T12:10:45.377Z] GC before operation: completed in 413.840 ms, heap usage 1.449 GB -> 97.893 MB. [2026-01-31T12:11:00.979Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T12:11:16.565Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T12:11:29.763Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T12:11:45.211Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T12:11:54.913Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T12:12:04.718Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T12:12:12.658Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T12:12:24.139Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T12:12:24.690Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T12:12:24.690Z] The best model improves the baseline by 14.52%. [2026-01-31T12:12:25.179Z] Top recommended movies for user id 72: [2026-01-31T12:12:25.179Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T12:12:25.179Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T12:12:25.179Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T12:12:25.180Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T12:12:25.180Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T12:12:25.180Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (99799.970 ms) ====== [2026-01-31T12:12:25.180Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-31T12:12:25.659Z] GC before operation: completed in 434.478 ms, heap usage 1.538 GB -> 94.661 MB. [2026-01-31T12:12:47.955Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T12:13:04.456Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T12:13:16.916Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T12:13:30.262Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T12:13:43.648Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T12:13:57.329Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T12:14:05.665Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T12:14:14.057Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T12:14:14.668Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T12:14:14.668Z] The best model improves the baseline by 14.52%. [2026-01-31T12:14:15.120Z] Top recommended movies for user id 72: [2026-01-31T12:14:15.120Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T12:14:15.120Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T12:14:15.120Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T12:14:15.120Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T12:14:15.120Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T12:14:15.120Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (109473.606 ms) ====== [2026-01-31T12:14:21.762Z] ----------------------------------- [2026-01-31T12:14:21.762Z] renaissance-movie-lens_0_PASSED [2026-01-31T12:14:21.762Z] ----------------------------------- [2026-01-31T12:14:21.762Z] [2026-01-31T12:14:21.762Z] TEST TEARDOWN: [2026-01-31T12:14:21.762Z] Nothing to be done for teardown. [2026-01-31T12:14:22.198Z] renaissance-movie-lens_0 Finish Time: Sat Jan 31 07:14:22 2026 Epoch Time (ms): 1769861662030