[2026-02-08T20:55:32.484Z] Running test renaissance-movie-lens_0 ... [2026-02-08T20:55:32.484Z] =============================================== [2026-02-08T20:55:32.484Z] renaissance-movie-lens_0 Start Time: Sun Feb 8 15:55:29 2026 Epoch Time (ms): 1770584130008 [2026-02-08T20:55:32.484Z] variation: NoOptions [2026-02-08T20:55:32.484Z] JVM_OPTIONS: [2026-02-08T20:55:32.484Z] { \ [2026-02-08T20:55:32.484Z] echo ""; echo "TEST SETUP:"; \ [2026-02-08T20:55:32.484Z] echo "Nothing to be done for setup."; \ [2026-02-08T20:55:32.484Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17705799239784/renaissance-movie-lens_0"; \ [2026-02-08T20:55:32.484Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17705799239784/renaissance-movie-lens_0"; \ [2026-02-08T20:55:32.484Z] echo ""; echo "TESTING:"; \ [2026-02-08T20:55:32.484Z] "/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_17705799239784/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-08T20:55:32.484Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17705799239784/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-08T20:55:32.484Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-08T20:55:32.484Z] echo "Nothing to be done for teardown."; \ [2026-02-08T20:55:32.484Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17705799239784/TestTargetResult"; [2026-02-08T20:55:32.484Z] [2026-02-08T20:55:32.484Z] TEST SETUP: [2026-02-08T20:55:32.484Z] Nothing to be done for setup. [2026-02-08T20:55:32.484Z] [2026-02-08T20:55:32.484Z] TESTING: [2026-02-08T20:55:34.153Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-08T20:55:34.153Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/output_17705799239784/renaissance-movie-lens_0/launcher-155530-10638069635276848470/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-08T20:55:34.153Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-08T20:55:34.153Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-08T20:56:01.024Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-08T20:56:27.753Z] 15:56:25.599 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. [2026-02-08T20:56:35.777Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-08T20:56:37.822Z] Training: 60056, validation: 20285, test: 19854 [2026-02-08T20:56:37.822Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-08T20:56:38.395Z] GC before operation: completed in 416.577 ms, heap usage 372.846 MB -> 74.553 MB. [2026-02-08T20:57:16.411Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T20:57:38.693Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T20:58:00.879Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T20:58:23.132Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T20:58:34.180Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T20:58:45.369Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T20:58:54.684Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T20:59:06.132Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T20:59:07.885Z] 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. [2026-02-08T20:59:07.885Z] The best model improves the baseline by 14.52%. [2026-02-08T20:59:08.465Z] Top recommended movies for user id 72: [2026-02-08T20:59:08.465Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T20:59:08.465Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T20:59:08.465Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T20:59:08.465Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T20:59:08.465Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T20:59:08.465Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (150581.678 ms) ====== [2026-02-08T20:59:08.465Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-08T20:59:09.755Z] GC before operation: completed in 957.301 ms, heap usage 172.019 MB -> 85.074 MB. [2026-02-08T20:59:32.868Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T20:59:52.019Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T21:00:11.318Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T21:00:30.635Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T21:00:41.882Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T21:00:53.109Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T21:01:06.319Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T21:01:17.882Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T21:01:18.515Z] 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. [2026-02-08T21:01:19.253Z] The best model improves the baseline by 14.52%. [2026-02-08T21:01:19.765Z] Top recommended movies for user id 72: [2026-02-08T21:01:19.765Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T21:01:19.765Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T21:01:19.765Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T21:01:19.765Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T21:01:19.765Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T21:01:19.765Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (130215.978 ms) ====== [2026-02-08T21:01:19.765Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-08T21:01:20.251Z] GC before operation: completed in 419.071 ms, heap usage 334.338 MB -> 87.328 MB. [2026-02-08T21:01:39.131Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T21:01:54.968Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T21:02:14.184Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T21:02:33.215Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T21:02:42.861Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T21:02:51.655Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T21:03:04.863Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T21:03:15.844Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T21:03:15.844Z] 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. [2026-02-08T21:03:16.420Z] The best model improves the baseline by 14.52%. [2026-02-08T21:03:16.886Z] Top recommended movies for user id 72: [2026-02-08T21:03:16.886Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T21:03:16.886Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T21:03:16.886Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T21:03:16.886Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T21:03:16.886Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T21:03:16.886Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (116359.955 ms) ====== [2026-02-08T21:03:16.886Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-08T21:03:16.886Z] GC before operation: completed in 279.103 ms, heap usage 271.910 MB -> 87.981 MB. [2026-02-08T21:03:35.713Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T21:03:57.466Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T21:04:14.181Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T21:04:30.455Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T21:04:42.089Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T21:04:49.305Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T21:04:58.585Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T21:05:07.785Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T21:05:07.785Z] 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. [2026-02-08T21:05:07.785Z] The best model improves the baseline by 14.52%. [2026-02-08T21:05:08.302Z] Top recommended movies for user id 72: [2026-02-08T21:05:08.302Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T21:05:08.302Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T21:05:08.302Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T21:05:08.302Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T21:05:08.302Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T21:05:08.302Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (111364.501 ms) ====== [2026-02-08T21:05:08.302Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-08T21:05:09.607Z] GC before operation: completed in 861.959 ms, heap usage 362.069 MB -> 88.428 MB. [2026-02-08T21:05:31.893Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T21:05:59.168Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T21:06:12.475Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T21:06:29.002Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T21:06:40.657Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T21:06:52.374Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T21:07:06.230Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T21:07:17.767Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T21:07:17.767Z] 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. [2026-02-08T21:07:17.767Z] The best model improves the baseline by 14.52%. [2026-02-08T21:07:18.286Z] Top recommended movies for user id 72: [2026-02-08T21:07:18.286Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T21:07:18.286Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T21:07:18.286Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T21:07:18.286Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T21:07:18.286Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T21:07:18.286Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (129306.011 ms) ====== [2026-02-08T21:07:18.286Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-08T21:07:18.745Z] GC before operation: completed in 309.899 ms, heap usage 306.601 MB -> 88.262 MB. [2026-02-08T21:07:37.841Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T21:07:57.517Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T21:08:11.703Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T21:08:30.532Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T21:08:36.964Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T21:08:46.440Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T21:08:57.755Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T21:09:09.784Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T21:09:09.784Z] 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. [2026-02-08T21:09:09.784Z] The best model improves the baseline by 14.52%. [2026-02-08T21:09:10.885Z] Top recommended movies for user id 72: [2026-02-08T21:09:10.886Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T21:09:10.886Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T21:09:10.886Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T21:09:10.886Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T21:09:10.886Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T21:09:10.886Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (112043.426 ms) ====== [2026-02-08T21:09:10.886Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-08T21:09:11.363Z] GC before operation: completed in 369.270 ms, heap usage 223.257 MB -> 91.872 MB. [2026-02-08T21:09:27.703Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T21:09:46.507Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T21:10:13.965Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T21:10:27.424Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T21:10:37.565Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T21:10:46.770Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T21:10:56.398Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T21:11:08.270Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T21:11:08.270Z] 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. [2026-02-08T21:11:08.270Z] The best model improves the baseline by 14.52%. [2026-02-08T21:11:08.270Z] Top recommended movies for user id 72: [2026-02-08T21:11:08.270Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T21:11:08.270Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T21:11:08.270Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T21:11:08.270Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T21:11:08.270Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T21:11:08.270Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (116986.691 ms) ====== [2026-02-08T21:11:08.270Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-08T21:11:08.916Z] GC before operation: completed in 493.246 ms, heap usage 1.008 GB -> 93.496 MB. [2026-02-08T21:11:28.084Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T21:11:47.696Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T21:12:04.257Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T21:12:20.025Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T21:12:31.418Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T21:12:39.411Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T21:12:48.708Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T21:12:59.628Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T21:13:00.154Z] 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. [2026-02-08T21:13:00.154Z] The best model improves the baseline by 14.52%. [2026-02-08T21:13:00.784Z] Top recommended movies for user id 72: [2026-02-08T21:13:00.784Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T21:13:00.784Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T21:13:00.784Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T21:13:00.784Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T21:13:00.784Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T21:13:00.784Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (111697.771 ms) ====== [2026-02-08T21:13:00.784Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-08T21:13:02.006Z] GC before operation: completed in 1206.410 ms, heap usage 621.570 MB -> 92.394 MB. [2026-02-08T21:13:17.733Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T21:13:36.383Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T21:13:52.405Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T21:14:11.167Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T21:14:19.343Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T21:14:28.926Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T21:14:36.789Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T21:14:45.751Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T21:14:45.751Z] 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. [2026-02-08T21:14:45.751Z] The best model improves the baseline by 14.52%. [2026-02-08T21:14:46.430Z] Top recommended movies for user id 72: [2026-02-08T21:14:46.430Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T21:14:46.430Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T21:14:46.430Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T21:14:46.430Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T21:14:46.430Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T21:14:46.430Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (104392.819 ms) ====== [2026-02-08T21:14:46.430Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-08T21:14:46.884Z] GC before operation: completed in 884.505 ms, heap usage 770.210 MB -> 92.444 MB. [2026-02-08T21:15:05.321Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T21:15:16.009Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T21:15:38.528Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T21:15:52.294Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T21:16:01.993Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T21:16:10.152Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T21:16:17.859Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T21:16:26.833Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T21:16:26.833Z] 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. [2026-02-08T21:16:26.833Z] The best model improves the baseline by 14.52%. [2026-02-08T21:16:28.097Z] Top recommended movies for user id 72: [2026-02-08T21:16:28.097Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T21:16:28.097Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T21:16:28.097Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T21:16:28.097Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T21:16:28.097Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T21:16:28.097Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (101336.683 ms) ====== [2026-02-08T21:16:28.097Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-08T21:16:28.516Z] GC before operation: completed in 439.904 ms, heap usage 1.105 GB -> 94.028 MB. [2026-02-08T21:16:47.322Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T21:17:03.943Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T21:17:17.800Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T21:17:33.994Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T21:17:43.542Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T21:17:53.685Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T21:18:04.349Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T21:18:11.482Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T21:18:11.947Z] 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. [2026-02-08T21:18:12.575Z] The best model improves the baseline by 14.52%. [2026-02-08T21:18:13.171Z] Top recommended movies for user id 72: [2026-02-08T21:18:13.171Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T21:18:13.171Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T21:18:13.171Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T21:18:13.171Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T21:18:13.171Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T21:18:13.171Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (104657.484 ms) ====== [2026-02-08T21:18:13.171Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-08T21:18:13.612Z] GC before operation: completed in 284.038 ms, heap usage 274.839 MB -> 88.544 MB. [2026-02-08T21:18:30.707Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T21:18:49.913Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T21:19:16.582Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T21:19:25.780Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T21:19:31.894Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T21:19:41.128Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T21:19:50.258Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T21:19:58.317Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T21:19:59.256Z] 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. [2026-02-08T21:19:59.256Z] The best model improves the baseline by 14.52%. [2026-02-08T21:19:59.863Z] Top recommended movies for user id 72: [2026-02-08T21:19:59.863Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T21:19:59.863Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T21:19:59.863Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T21:19:59.863Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T21:19:59.863Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T21:19:59.863Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (106310.323 ms) ====== [2026-02-08T21:19:59.863Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-08T21:20:00.427Z] GC before operation: completed in 462.207 ms, heap usage 329.609 MB -> 88.841 MB. [2026-02-08T21:20:16.258Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T21:20:34.593Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T21:20:53.578Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T21:21:11.181Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T21:21:21.495Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T21:21:29.508Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T21:21:37.422Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T21:21:44.916Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T21:21:45.456Z] 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. [2026-02-08T21:21:45.456Z] The best model improves the baseline by 14.52%. [2026-02-08T21:21:45.456Z] Top recommended movies for user id 72: [2026-02-08T21:21:45.457Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T21:21:45.457Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T21:21:45.457Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T21:21:45.457Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T21:21:45.457Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T21:21:45.457Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (105261.734 ms) ====== [2026-02-08T21:21:45.457Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-08T21:21:47.254Z] GC before operation: completed in 1394.459 ms, heap usage 1004.711 MB -> 93.706 MB. [2026-02-08T21:22:06.015Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T21:22:21.587Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T21:22:38.242Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T21:22:52.864Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T21:22:58.954Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T21:23:06.303Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T21:23:12.219Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T21:23:19.941Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T21:23:20.953Z] 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. [2026-02-08T21:23:20.953Z] The best model improves the baseline by 14.52%. [2026-02-08T21:23:20.953Z] Top recommended movies for user id 72: [2026-02-08T21:23:20.953Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T21:23:20.953Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T21:23:20.953Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T21:23:20.953Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T21:23:20.953Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T21:23:20.953Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (93996.218 ms) ====== [2026-02-08T21:23:20.953Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-08T21:23:21.529Z] GC before operation: completed in 367.994 ms, heap usage 813.188 MB -> 92.759 MB. [2026-02-08T21:23:44.258Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T21:23:59.832Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T21:24:12.714Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T21:24:23.603Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T21:24:31.240Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T21:24:38.534Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T21:24:50.203Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T21:25:00.219Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T21:25:01.397Z] 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. [2026-02-08T21:25:01.397Z] The best model improves the baseline by 14.52%. [2026-02-08T21:25:01.899Z] Top recommended movies for user id 72: [2026-02-08T21:25:01.899Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T21:25:01.899Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T21:25:01.899Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T21:25:01.899Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T21:25:01.899Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T21:25:01.899Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (100216.962 ms) ====== [2026-02-08T21:25:01.899Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-08T21:25:01.899Z] GC before operation: completed in 392.153 ms, heap usage 1.070 GB -> 94.257 MB. [2026-02-08T21:25:20.714Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T21:25:33.936Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T21:25:52.832Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T21:26:10.988Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T21:26:18.312Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T21:26:32.053Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T21:26:40.239Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T21:26:48.443Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T21:26:50.475Z] 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. [2026-02-08T21:26:50.475Z] The best model improves the baseline by 14.52%. [2026-02-08T21:26:50.475Z] Top recommended movies for user id 72: [2026-02-08T21:26:50.475Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T21:26:50.475Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T21:26:50.475Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T21:26:50.475Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T21:26:50.475Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T21:26:50.475Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (108608.551 ms) ====== [2026-02-08T21:26:50.475Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-08T21:26:50.985Z] GC before operation: completed in 444.497 ms, heap usage 187.379 MB -> 94.159 MB. [2026-02-08T21:27:09.566Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T21:27:22.509Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T21:27:35.599Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T21:27:48.809Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T21:27:57.593Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T21:28:05.279Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T21:28:14.499Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T21:28:20.682Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T21:28:20.682Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-08T21:28:21.163Z] The best model improves the baseline by 14.52%. [2026-02-08T21:28:21.163Z] Top recommended movies for user id 72: [2026-02-08T21:28:21.163Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T21:28:21.163Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T21:28:21.163Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T21:28:21.163Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T21:28:21.163Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T21:28:21.163Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (90129.436 ms) ====== [2026-02-08T21:28:21.163Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-08T21:28:21.668Z] GC before operation: completed in 312.929 ms, heap usage 624.746 MB -> 92.577 MB. [2026-02-08T21:28:40.509Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T21:28:52.087Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T21:29:08.229Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T21:29:21.864Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T21:29:30.055Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T21:29:36.650Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T21:29:45.089Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T21:29:56.301Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T21:29:56.851Z] 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. [2026-02-08T21:29:57.391Z] The best model improves the baseline by 14.52%. [2026-02-08T21:29:57.931Z] Top recommended movies for user id 72: [2026-02-08T21:29:57.931Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T21:29:57.931Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T21:29:57.931Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T21:29:57.931Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T21:29:57.931Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T21:29:57.931Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (96314.432 ms) ====== [2026-02-08T21:29:57.931Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-08T21:29:58.427Z] GC before operation: completed in 476.667 ms, heap usage 1006.182 MB -> 93.554 MB. [2026-02-08T21:30:14.487Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T21:30:29.924Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T21:30:45.619Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T21:31:01.774Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T21:31:10.394Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T21:31:19.770Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T21:31:30.849Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T21:31:40.003Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T21:31:40.003Z] 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. [2026-02-08T21:31:40.003Z] The best model improves the baseline by 14.52%. [2026-02-08T21:31:40.480Z] Top recommended movies for user id 72: [2026-02-08T21:31:40.480Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T21:31:40.480Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T21:31:40.480Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T21:31:40.480Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T21:31:40.480Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T21:31:40.480Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (102276.741 ms) ====== [2026-02-08T21:31:40.480Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-08T21:31:41.708Z] GC before operation: completed in 1132.849 ms, heap usage 183.152 MB -> 90.764 MB. [2026-02-08T21:32:00.735Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T21:32:14.258Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T21:32:28.216Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T21:32:44.602Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T21:32:49.633Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T21:32:56.977Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T21:33:06.206Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T21:33:12.479Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T21:33:13.035Z] 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. [2026-02-08T21:33:13.759Z] The best model improves the baseline by 14.52%. [2026-02-08T21:33:14.276Z] Top recommended movies for user id 72: [2026-02-08T21:33:14.276Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T21:33:14.276Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T21:33:14.276Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T21:33:14.276Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T21:33:14.276Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T21:33:14.276Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (92552.700 ms) ====== [2026-02-08T21:33:21.524Z] ----------------------------------- [2026-02-08T21:33:21.524Z] renaissance-movie-lens_0_PASSED [2026-02-08T21:33:21.524Z] ----------------------------------- [2026-02-08T21:33:21.524Z] [2026-02-08T21:33:21.524Z] TEST TEARDOWN: [2026-02-08T21:33:21.524Z] Nothing to be done for teardown. [2026-02-08T21:33:21.969Z] renaissance-movie-lens_0 Finish Time: Sun Feb 8 16:33:21 2026 Epoch Time (ms): 1770586401366