[2026-01-12T10:39:38.366Z] Running test renaissance-movie-lens_0 ... [2026-01-12T10:39:38.973Z] =============================================== [2026-01-12T10:39:39.560Z] renaissance-movie-lens_0 Start Time: Mon Jan 12 05:39:39 2026 Epoch Time (ms): 1768214379519 [2026-01-12T10:39:40.104Z] variation: NoOptions [2026-01-12T10:39:40.575Z] JVM_OPTIONS: [2026-01-12T10:39:40.575Z] { \ [2026-01-12T10:39:40.575Z] echo ""; echo "TEST SETUP:"; \ [2026-01-12T10:39:40.575Z] echo "Nothing to be done for setup."; \ [2026-01-12T10:39:40.575Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17682097197127/renaissance-movie-lens_0"; \ [2026-01-12T10:39:40.575Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17682097197127/renaissance-movie-lens_0"; \ [2026-01-12T10:39:40.575Z] echo ""; echo "TESTING:"; \ [2026-01-12T10:39:40.575Z] "/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_17682097197127/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-12T10:39:40.575Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17682097197127/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-12T10:39:40.575Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-12T10:39:40.575Z] echo "Nothing to be done for teardown."; \ [2026-01-12T10:39:40.575Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17682097197127/TestTargetResult"; [2026-01-12T10:39:40.575Z] [2026-01-12T10:39:40.575Z] TEST SETUP: [2026-01-12T10:39:40.575Z] Nothing to be done for setup. [2026-01-12T10:39:40.575Z] [2026-01-12T10:39:40.575Z] TESTING: [2026-01-12T10:39:46.818Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-12T10:39:46.819Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/output_17682097197127/renaissance-movie-lens_0/launcher-053945-10854225922879660752/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-12T10:39:46.819Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-12T10:39:46.819Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-12T10:40:04.908Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-12T10:40:31.108Z] 05:40:28.843 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-12T10:40:39.089Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-12T10:40:40.838Z] Training: 60056, validation: 20285, test: 19854 [2026-01-12T10:40:40.838Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-12T10:40:41.410Z] GC before operation: completed in 419.001 ms, heap usage 306.206 MB -> 74.979 MB. [2026-01-12T10:41:19.195Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-12T10:41:38.133Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-12T10:42:00.356Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-12T10:42:16.459Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-12T10:42:27.546Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-12T10:42:39.130Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-12T10:42:58.478Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-12T10:43:07.682Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-12T10:43:08.258Z] 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. [2026-01-12T10:43:08.258Z] The best model improves the baseline by 14.52%. [2026-01-12T10:43:08.848Z] Top recommended movies for user id 72: [2026-01-12T10:43:08.848Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-12T10:43:08.848Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-12T10:43:08.848Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-12T10:43:08.848Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-12T10:43:08.848Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-12T10:43:08.848Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (147669.515 ms) ====== [2026-01-12T10:43:08.848Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-12T10:43:09.864Z] GC before operation: completed in 915.246 ms, heap usage 365.081 MB -> 88.938 MB. [2026-01-12T10:43:28.193Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-12T10:43:44.241Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-12T10:43:59.897Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-12T10:44:13.120Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-12T10:44:21.358Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-12T10:44:37.936Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-12T10:44:44.144Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-12T10:44:50.151Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-12T10:44:52.100Z] 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. [2026-01-12T10:44:52.100Z] The best model improves the baseline by 14.52%. [2026-01-12T10:44:52.679Z] Top recommended movies for user id 72: [2026-01-12T10:44:52.679Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-12T10:44:52.679Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-12T10:44:52.679Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-12T10:44:52.679Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-12T10:44:52.679Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-12T10:44:52.679Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (102930.828 ms) ====== [2026-01-12T10:44:52.679Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-12T10:44:53.221Z] GC before operation: completed in 309.903 ms, heap usage 192.490 MB -> 87.629 MB. [2026-01-12T10:45:19.352Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-12T10:45:35.493Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-12T10:45:49.336Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-12T10:46:03.158Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-12T10:46:10.903Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-12T10:46:20.252Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-12T10:46:36.962Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-12T10:46:42.272Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-12T10:46:43.449Z] 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. [2026-01-12T10:46:43.449Z] The best model improves the baseline by 14.52%. [2026-01-12T10:46:44.044Z] Top recommended movies for user id 72: [2026-01-12T10:46:44.044Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-12T10:46:44.044Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-12T10:46:44.044Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-12T10:46:44.044Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-12T10:46:44.044Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-12T10:46:44.044Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (110704.173 ms) ====== [2026-01-12T10:46:44.044Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-12T10:46:44.656Z] GC before operation: completed in 888.802 ms, heap usage 669.454 MB -> 91.968 MB. [2026-01-12T10:47:03.465Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-12T10:47:14.579Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-12T10:47:30.172Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-12T10:47:43.473Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-12T10:47:51.371Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-12T10:47:59.647Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-12T10:48:13.946Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-12T10:48:21.896Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-12T10:48:22.850Z] 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. [2026-01-12T10:48:22.850Z] The best model improves the baseline by 14.52%. [2026-01-12T10:48:23.324Z] Top recommended movies for user id 72: [2026-01-12T10:48:23.324Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-12T10:48:23.324Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-12T10:48:23.324Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-12T10:48:23.324Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-12T10:48:23.324Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-12T10:48:23.324Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (98821.927 ms) ====== [2026-01-12T10:48:23.324Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-12T10:48:24.201Z] GC before operation: completed in 372.751 ms, heap usage 1.123 GB -> 93.981 MB. [2026-01-12T10:48:43.381Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-12T10:48:58.782Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-12T10:49:22.033Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-12T10:49:31.993Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-12T10:49:42.183Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-12T10:49:51.739Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-12T10:49:59.059Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-12T10:50:05.385Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-12T10:50:05.386Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-12T10:50:05.386Z] The best model improves the baseline by 14.52%. [2026-01-12T10:50:06.556Z] Top recommended movies for user id 72: [2026-01-12T10:50:06.556Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-12T10:50:06.556Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-12T10:50:06.556Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-12T10:50:06.556Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-12T10:50:06.556Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-12T10:50:06.556Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (102765.614 ms) ====== [2026-01-12T10:50:06.556Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-12T10:50:07.042Z] GC before operation: completed in 391.448 ms, heap usage 311.201 MB -> 88.592 MB. [2026-01-12T10:50:22.484Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-12T10:50:35.461Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-12T10:50:51.833Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-12T10:51:07.843Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-12T10:51:13.996Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-12T10:51:20.107Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-12T10:51:26.084Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-12T10:51:35.008Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-12T10:51:35.008Z] 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. [2026-01-12T10:51:35.008Z] The best model improves the baseline by 14.52%. [2026-01-12T10:51:36.269Z] Top recommended movies for user id 72: [2026-01-12T10:51:36.269Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-12T10:51:36.269Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-12T10:51:36.269Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-12T10:51:36.269Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-12T10:51:36.269Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-12T10:51:36.269Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (89221.270 ms) ====== [2026-01-12T10:51:36.269Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-12T10:51:36.807Z] GC before operation: completed in 737.014 ms, heap usage 922.123 MB -> 93.462 MB. [2026-01-12T10:51:52.494Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-12T10:52:08.222Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-12T10:52:31.271Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-12T10:52:44.461Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-12T10:52:51.992Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-12T10:52:59.659Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-12T10:53:09.588Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-12T10:53:19.040Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-12T10:53:20.260Z] 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. [2026-01-12T10:53:20.260Z] The best model improves the baseline by 14.52%. [2026-01-12T10:53:20.739Z] Top recommended movies for user id 72: [2026-01-12T10:53:20.739Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-12T10:53:20.739Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-12T10:53:20.739Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-12T10:53:20.739Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-12T10:53:20.739Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-12T10:53:20.739Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (104012.403 ms) ====== [2026-01-12T10:53:20.739Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-12T10:53:21.213Z] GC before operation: completed in 406.642 ms, heap usage 1012.301 MB -> 93.742 MB. [2026-01-12T10:53:36.991Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-12T10:53:53.399Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-12T10:54:09.574Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-12T10:54:22.820Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-12T10:54:33.901Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-12T10:54:39.958Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-12T10:54:49.301Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-12T10:54:54.420Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-12T10:54:54.869Z] 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. [2026-01-12T10:54:54.869Z] The best model improves the baseline by 14.52%. [2026-01-12T10:54:56.068Z] Top recommended movies for user id 72: [2026-01-12T10:54:56.068Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-12T10:54:56.068Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-12T10:54:56.068Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-12T10:54:56.068Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-12T10:54:56.068Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-12T10:54:56.068Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (94349.750 ms) ====== [2026-01-12T10:54:56.068Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-12T10:54:56.565Z] GC before operation: completed in 834.128 ms, heap usage 279.636 MB -> 89.051 MB. [2026-01-12T10:55:12.097Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-12T10:55:27.889Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-12T10:55:44.215Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-12T10:55:59.693Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-12T10:56:08.873Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-12T10:56:17.789Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-12T10:56:25.163Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-12T10:56:33.883Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-12T10:56:33.883Z] 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. [2026-01-12T10:56:34.641Z] The best model improves the baseline by 14.52%. [2026-01-12T10:56:35.853Z] Top recommended movies for user id 72: [2026-01-12T10:56:35.853Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-12T10:56:35.853Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-12T10:56:35.853Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-12T10:56:35.853Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-12T10:56:35.853Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-12T10:56:35.853Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (99383.072 ms) ====== [2026-01-12T10:56:35.853Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-12T10:56:36.334Z] GC before operation: completed in 335.851 ms, heap usage 215.159 MB -> 88.854 MB. [2026-01-12T10:56:52.541Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-12T10:57:08.531Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-12T10:57:21.433Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-12T10:57:34.264Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-12T10:57:43.424Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-12T10:58:02.833Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-12T10:58:06.103Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-12T10:58:15.669Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-12T10:58:15.669Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-12T10:58:16.158Z] The best model improves the baseline by 14.52%. [2026-01-12T10:58:16.575Z] Top recommended movies for user id 72: [2026-01-12T10:58:16.575Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-12T10:58:16.575Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-12T10:58:16.575Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-12T10:58:16.575Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-12T10:58:16.575Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-12T10:58:16.575Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (100144.238 ms) ====== [2026-01-12T10:58:16.575Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-12T10:58:17.214Z] GC before operation: completed in 398.651 ms, heap usage 872.461 MB -> 93.360 MB. [2026-01-12T10:58:35.765Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-12T10:58:52.201Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-12T10:59:05.973Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-12T10:59:16.635Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-12T10:59:22.769Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-12T10:59:30.338Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-12T10:59:41.719Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-12T10:59:52.236Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-12T10:59:53.273Z] 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. [2026-01-12T10:59:53.273Z] The best model improves the baseline by 14.52%. [2026-01-12T10:59:53.760Z] Top recommended movies for user id 72: [2026-01-12T10:59:53.760Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-12T10:59:53.760Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-12T10:59:53.760Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-12T10:59:53.760Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-12T10:59:53.760Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-12T10:59:53.760Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (97032.632 ms) ====== [2026-01-12T10:59:53.760Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-12T10:59:54.851Z] GC before operation: completed in 887.079 ms, heap usage 351.947 MB -> 89.169 MB. [2026-01-12T11:00:10.359Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-12T11:00:28.609Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-12T11:00:41.697Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-12T11:00:54.632Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-12T11:01:03.650Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-12T11:01:14.691Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-12T11:01:22.751Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-12T11:01:30.453Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-12T11:01:32.012Z] 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. [2026-01-12T11:01:32.012Z] The best model improves the baseline by 14.52%. [2026-01-12T11:01:33.970Z] Top recommended movies for user id 72: [2026-01-12T11:01:33.970Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-12T11:01:33.970Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-12T11:01:33.970Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-12T11:01:33.970Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-12T11:01:33.970Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-12T11:01:33.970Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (99168.976 ms) ====== [2026-01-12T11:01:33.970Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-12T11:01:34.507Z] GC before operation: completed in 391.705 ms, heap usage 750.833 MB -> 92.995 MB. [2026-01-12T11:01:50.690Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-12T11:02:10.119Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-12T11:02:23.642Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-12T11:02:39.436Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-12T11:02:47.476Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-12T11:02:55.538Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-12T11:03:04.403Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-12T11:03:14.002Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-12T11:03:14.002Z] 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. [2026-01-12T11:03:14.494Z] The best model improves the baseline by 14.52%. [2026-01-12T11:03:14.494Z] Top recommended movies for user id 72: [2026-01-12T11:03:14.494Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-12T11:03:14.494Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-12T11:03:14.494Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-12T11:03:14.494Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-12T11:03:14.494Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-12T11:03:14.494Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (100275.406 ms) ====== [2026-01-12T11:03:14.494Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-12T11:03:15.001Z] GC before operation: completed in 346.878 ms, heap usage 433.986 MB -> 89.618 MB. [2026-01-12T11:03:33.999Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-12T11:03:49.329Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-12T11:04:02.743Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-12T11:04:16.101Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-12T11:04:25.634Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-12T11:04:31.764Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-12T11:04:38.983Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-12T11:04:45.262Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-12T11:04:45.746Z] 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. [2026-01-12T11:04:45.746Z] The best model improves the baseline by 14.52%. [2026-01-12T11:04:46.164Z] Top recommended movies for user id 72: [2026-01-12T11:04:46.164Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-12T11:04:46.164Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-12T11:04:46.164Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-12T11:04:46.164Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-12T11:04:46.164Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-12T11:04:46.164Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (91241.628 ms) ====== [2026-01-12T11:04:46.164Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-12T11:04:46.554Z] GC before operation: completed in 355.607 ms, heap usage 315.908 MB -> 89.128 MB. [2026-01-12T11:04:59.954Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-12T11:05:22.060Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-12T11:05:31.424Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-12T11:05:41.800Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-12T11:05:49.062Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-12T11:05:54.068Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-12T11:06:01.449Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-12T11:06:12.754Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-12T11:06:14.003Z] 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. [2026-01-12T11:06:14.487Z] The best model improves the baseline by 14.52%. [2026-01-12T11:06:14.974Z] Top recommended movies for user id 72: [2026-01-12T11:06:14.974Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-12T11:06:14.974Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-12T11:06:14.974Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-12T11:06:14.974Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-12T11:06:14.974Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-12T11:06:14.974Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (88416.336 ms) ====== [2026-01-12T11:06:14.974Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-12T11:06:15.522Z] GC before operation: completed in 552.237 ms, heap usage 496.302 MB -> 89.625 MB. [2026-01-12T11:06:34.212Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-12T11:06:47.693Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-12T11:07:03.257Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-12T11:07:16.139Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-12T11:07:22.327Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-12T11:07:29.758Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-12T11:07:41.389Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-12T11:07:49.585Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-12T11:07:50.105Z] 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. [2026-01-12T11:07:50.105Z] The best model improves the baseline by 14.52%. [2026-01-12T11:07:50.706Z] Top recommended movies for user id 72: [2026-01-12T11:07:50.706Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-12T11:07:50.706Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-12T11:07:50.706Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-12T11:07:50.706Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-12T11:07:50.706Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-12T11:07:50.706Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (94940.286 ms) ====== [2026-01-12T11:07:50.706Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-12T11:07:51.820Z] GC before operation: completed in 1191.391 ms, heap usage 844.363 MB -> 93.349 MB. [2026-01-12T11:08:10.317Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-12T11:08:21.134Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-12T11:08:33.991Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-12T11:08:47.332Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-12T11:08:57.197Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-12T11:09:06.812Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-12T11:09:14.688Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-12T11:09:22.324Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-12T11:09:22.852Z] 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. [2026-01-12T11:09:22.852Z] The best model improves the baseline by 14.52%. [2026-01-12T11:09:23.872Z] Top recommended movies for user id 72: [2026-01-12T11:09:23.872Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-12T11:09:23.872Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-12T11:09:23.872Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-12T11:09:23.872Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-12T11:09:23.872Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-12T11:09:23.872Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (92007.276 ms) ====== [2026-01-12T11:09:23.872Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-12T11:09:23.872Z] GC before operation: completed in 448.713 ms, heap usage 793.353 MB -> 93.142 MB. [2026-01-12T11:09:39.137Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-12T11:09:52.124Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-12T11:10:07.971Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-12T11:10:23.961Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-12T11:10:34.890Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-12T11:10:42.495Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-12T11:10:51.446Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-12T11:11:00.356Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-12T11:11:01.396Z] 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. [2026-01-12T11:11:01.396Z] The best model improves the baseline by 14.52%. [2026-01-12T11:11:02.461Z] Top recommended movies for user id 72: [2026-01-12T11:11:02.461Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-12T11:11:02.461Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-12T11:11:02.461Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-12T11:11:02.461Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-12T11:11:02.461Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-12T11:11:02.461Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (98389.122 ms) ====== [2026-01-12T11:11:02.461Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-12T11:11:02.901Z] GC before operation: completed in 364.087 ms, heap usage 146.047 MB -> 88.883 MB. [2026-01-12T11:11:16.297Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-12T11:11:39.486Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-12T11:11:55.862Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-12T11:12:11.837Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-12T11:12:21.382Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-12T11:12:32.795Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-12T11:12:41.187Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-12T11:12:49.868Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-12T11:12:50.900Z] 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. [2026-01-12T11:12:50.900Z] The best model improves the baseline by 14.52%. [2026-01-12T11:12:50.900Z] Top recommended movies for user id 72: [2026-01-12T11:12:50.900Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-12T11:12:50.900Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-12T11:12:50.900Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-12T11:12:50.900Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-12T11:12:50.900Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-12T11:12:50.900Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (108148.541 ms) ====== [2026-01-12T11:12:50.900Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-12T11:12:51.568Z] GC before operation: completed in 313.581 ms, heap usage 142.798 MB -> 88.995 MB. [2026-01-12T11:13:07.642Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-12T11:13:24.183Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-12T11:13:40.644Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-12T11:13:54.036Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-12T11:14:03.685Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-12T11:14:14.882Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-12T11:14:22.891Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-12T11:14:31.899Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-12T11:14:33.045Z] 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. [2026-01-12T11:14:33.045Z] The best model improves the baseline by 14.52%. [2026-01-12T11:14:34.650Z] Top recommended movies for user id 72: [2026-01-12T11:14:34.650Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-12T11:14:34.650Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-12T11:14:34.650Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-12T11:14:34.650Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-12T11:14:34.650Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-12T11:14:34.650Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (103524.633 ms) ====== [2026-01-12T11:14:40.375Z] ----------------------------------- [2026-01-12T11:14:40.375Z] renaissance-movie-lens_0_PASSED [2026-01-12T11:14:40.375Z] ----------------------------------- [2026-01-12T11:14:40.790Z] [2026-01-12T11:14:40.790Z] TEST TEARDOWN: [2026-01-12T11:14:40.790Z] Nothing to be done for teardown. [2026-01-12T11:14:41.228Z] renaissance-movie-lens_0 Finish Time: Mon Jan 12 06:14:41 2026 Epoch Time (ms): 1768216481102