[2026-02-28T23:46:30.524Z] Running test renaissance-movie-lens_0 ... [2026-02-28T23:46:30.524Z] =============================================== [2026-02-28T23:46:31.083Z] renaissance-movie-lens_0 Start Time: Sat Feb 28 18:46:30 2026 Epoch Time (ms): 1772322390571 [2026-02-28T23:46:31.083Z] variation: NoOptions [2026-02-28T23:46:31.539Z] JVM_OPTIONS: [2026-02-28T23:46:31.539Z] { \ [2026-02-28T23:46:31.539Z] echo ""; echo "TEST SETUP:"; \ [2026-02-28T23:46:31.539Z] echo "Nothing to be done for setup."; \ [2026-02-28T23:46:31.539Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17723174186992/renaissance-movie-lens_0"; \ [2026-02-28T23:46:31.539Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17723174186992/renaissance-movie-lens_0"; \ [2026-02-28T23:46:31.539Z] echo ""; echo "TESTING:"; \ [2026-02-28T23:46:31.539Z] "/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_17723174186992/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-28T23:46:31.539Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17723174186992/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-28T23:46:31.539Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-28T23:46:31.539Z] echo "Nothing to be done for teardown."; \ [2026-02-28T23:46:31.539Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17723174186992/TestTargetResult"; [2026-02-28T23:46:31.539Z] [2026-02-28T23:46:31.539Z] TEST SETUP: [2026-02-28T23:46:31.539Z] Nothing to be done for setup. [2026-02-28T23:46:31.539Z] [2026-02-28T23:46:31.539Z] TESTING: [2026-02-28T23:46:33.848Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-28T23:46:33.849Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/output_17723174186992/renaissance-movie-lens_0/launcher-184632-2760503797168167098/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-28T23:46:33.849Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-28T23:46:33.849Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-28T23:46:59.665Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-28T23:47:25.564Z] 18:47:23.824 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. [2026-02-28T23:47:35.094Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-28T23:47:38.366Z] Training: 60056, validation: 20285, test: 19854 [2026-02-28T23:47:38.366Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-28T23:47:38.366Z] GC before operation: completed in 266.444 ms, heap usage 561.368 MB -> 75.192 MB. [2026-02-28T23:48:23.331Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:48:46.058Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:49:07.900Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:49:34.724Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:49:45.583Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:49:58.739Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:50:09.511Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:50:18.564Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:50:19.424Z] 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. [2026-02-28T23:50:19.982Z] The best model improves the baseline by 14.52%. [2026-02-28T23:50:21.134Z] Top recommended movies for user id 72: [2026-02-28T23:50:21.134Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:50:21.134Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:50:21.134Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:50:21.134Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:50:21.134Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:50:21.134Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (162931.697 ms) ====== [2026-02-28T23:50:21.135Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-28T23:50:21.658Z] GC before operation: completed in 524.572 ms, heap usage 226.688 MB -> 92.976 MB. [2026-02-28T23:50:48.072Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:51:07.169Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:51:22.721Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:51:38.193Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:51:49.345Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:52:00.892Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:52:12.379Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:52:21.812Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:52:22.399Z] 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. [2026-02-28T23:52:22.916Z] The best model improves the baseline by 14.52%. [2026-02-28T23:52:23.382Z] Top recommended movies for user id 72: [2026-02-28T23:52:23.382Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:52:23.382Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:52:23.382Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:52:23.382Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:52:23.382Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:52:23.382Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (121567.212 ms) ====== [2026-02-28T23:52:23.382Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-28T23:52:23.382Z] GC before operation: completed in 405.820 ms, heap usage 593.580 MB -> 91.326 MB. [2026-02-28T23:52:41.673Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:53:00.771Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:53:22.894Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:53:34.120Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:53:44.972Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:53:53.912Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:54:01.601Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:54:09.168Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:54:10.945Z] 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. [2026-02-28T23:54:10.945Z] The best model improves the baseline by 14.52%. [2026-02-28T23:54:11.489Z] Top recommended movies for user id 72: [2026-02-28T23:54:11.489Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:54:11.489Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:54:11.489Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:54:11.489Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:54:11.489Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:54:11.489Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (107693.706 ms) ====== [2026-02-28T23:54:11.489Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-28T23:54:12.025Z] GC before operation: completed in 477.121 ms, heap usage 1.175 GB -> 97.642 MB. [2026-02-28T23:54:34.938Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:54:52.851Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:55:08.726Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:55:24.765Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:55:31.185Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:55:40.628Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:55:51.672Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:56:00.720Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:56:00.720Z] 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. [2026-02-28T23:56:00.720Z] The best model improves the baseline by 14.52%. [2026-02-28T23:56:01.272Z] Top recommended movies for user id 72: [2026-02-28T23:56:01.272Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:56:01.272Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:56:01.272Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:56:01.272Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:56:01.272Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:56:01.272Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (109290.289 ms) ====== [2026-02-28T23:56:01.272Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-28T23:56:02.325Z] GC before operation: completed in 952.231 ms, heap usage 703.196 MB -> 92.498 MB. [2026-02-28T23:56:24.927Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:56:44.073Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:57:06.331Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:57:22.171Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:57:34.512Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:57:45.774Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:57:54.984Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:58:07.049Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:58:07.546Z] 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. [2026-02-28T23:58:07.546Z] The best model improves the baseline by 14.52%. [2026-02-28T23:58:09.298Z] Top recommended movies for user id 72: [2026-02-28T23:58:09.298Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:58:09.298Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:58:09.298Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:58:09.298Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:58:09.298Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:58:09.298Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (126956.714 ms) ====== [2026-02-28T23:58:09.298Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-28T23:58:09.298Z] GC before operation: completed in 334.993 ms, heap usage 181.185 MB -> 88.663 MB. [2026-02-28T23:58:27.495Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:58:45.879Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:59:05.009Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:59:21.608Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:59:31.399Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:59:42.796Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:59:56.487Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T00:00:07.855Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T00:00:07.855Z] 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. [2026-03-01T00:00:07.855Z] The best model improves the baseline by 14.52%. [2026-03-01T00:00:08.523Z] Top recommended movies for user id 72: [2026-03-01T00:00:08.523Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T00:00:08.523Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T00:00:08.523Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T00:00:08.523Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T00:00:08.523Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T00:00:08.523Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (119093.235 ms) ====== [2026-03-01T00:00:08.523Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-01T00:00:09.757Z] GC before operation: completed in 1355.929 ms, heap usage 353.663 MB -> 91.482 MB. [2026-03-01T00:00:28.459Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T00:00:43.749Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T00:00:59.471Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T00:01:14.875Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T00:01:24.439Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T00:01:35.767Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T00:01:45.214Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T00:01:58.308Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T00:02:00.482Z] 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. [2026-03-01T00:02:00.960Z] The best model improves the baseline by 14.52%. [2026-03-01T00:02:01.445Z] Top recommended movies for user id 72: [2026-03-01T00:02:01.445Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T00:02:01.445Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T00:02:01.445Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T00:02:01.445Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T00:02:01.445Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T00:02:01.445Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (111736.862 ms) ====== [2026-03-01T00:02:01.445Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-01T00:02:01.896Z] GC before operation: completed in 461.125 ms, heap usage 261.893 MB -> 89.104 MB. [2026-03-01T00:02:24.172Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T00:02:43.454Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T00:02:59.693Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T00:03:26.656Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T00:03:32.131Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T00:03:39.593Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T00:03:48.480Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T00:03:57.664Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T00:03:58.638Z] 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. [2026-03-01T00:03:58.638Z] The best model improves the baseline by 14.52%. [2026-03-01T00:03:58.638Z] Top recommended movies for user id 72: [2026-03-01T00:03:58.638Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T00:03:58.638Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T00:03:58.638Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T00:03:58.638Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T00:03:58.638Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T00:03:58.638Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (116729.464 ms) ====== [2026-03-01T00:03:58.638Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-01T00:03:59.146Z] GC before operation: completed in 510.035 ms, heap usage 1.140 GB -> 94.642 MB. [2026-03-01T00:04:21.421Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T00:04:37.265Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T00:04:55.621Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T00:05:06.662Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T00:05:12.695Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T00:05:21.883Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T00:05:31.329Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T00:05:39.624Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T00:05:40.149Z] 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. [2026-03-01T00:05:40.149Z] The best model improves the baseline by 14.52%. [2026-03-01T00:05:40.745Z] Top recommended movies for user id 72: [2026-03-01T00:05:40.745Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T00:05:40.745Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T00:05:40.745Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T00:05:40.745Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T00:05:40.745Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T00:05:40.745Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (101497.986 ms) ====== [2026-03-01T00:05:40.745Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-01T00:05:41.343Z] GC before operation: completed in 445.619 ms, heap usage 553.289 MB -> 92.960 MB. [2026-03-01T00:06:00.380Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T00:06:14.006Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T00:06:26.669Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T00:06:39.535Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T00:06:47.076Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T00:06:56.709Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T00:07:05.794Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T00:07:14.631Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T00:07:15.074Z] 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. [2026-03-01T00:07:15.074Z] The best model improves the baseline by 14.52%. [2026-03-01T00:07:15.584Z] Top recommended movies for user id 72: [2026-03-01T00:07:15.584Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T00:07:15.584Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T00:07:15.584Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T00:07:15.584Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T00:07:15.584Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T00:07:15.584Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (94202.481 ms) ====== [2026-03-01T00:07:15.584Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-01T00:07:16.048Z] GC before operation: completed in 425.242 ms, heap usage 162.337 MB -> 93.650 MB. [2026-03-01T00:07:35.300Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T00:07:50.682Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T00:08:03.289Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T00:08:15.721Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T00:08:22.321Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T00:08:33.779Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T00:08:43.089Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T00:08:52.593Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T00:08:54.553Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-01T00:08:54.553Z] The best model improves the baseline by 14.52%. [2026-03-01T00:08:55.133Z] Top recommended movies for user id 72: [2026-03-01T00:08:55.133Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T00:08:55.133Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T00:08:55.133Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T00:08:55.133Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T00:08:55.133Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T00:08:55.133Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (99124.401 ms) ====== [2026-03-01T00:08:55.133Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-01T00:08:55.768Z] GC before operation: completed in 421.174 ms, heap usage 826.047 MB -> 93.098 MB. [2026-03-01T00:09:14.713Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T00:09:30.650Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T00:09:49.314Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T00:10:03.117Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T00:10:09.568Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T00:10:17.332Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T00:10:26.848Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T00:10:36.252Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T00:10:36.721Z] 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. [2026-03-01T00:10:36.721Z] The best model improves the baseline by 14.52%. [2026-03-01T00:10:36.721Z] Top recommended movies for user id 72: [2026-03-01T00:10:36.721Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T00:10:36.721Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T00:10:36.721Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T00:10:36.721Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T00:10:36.721Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T00:10:36.721Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (101435.495 ms) ====== [2026-03-01T00:10:36.721Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-01T00:10:37.229Z] GC before operation: completed in 401.993 ms, heap usage 960.770 MB -> 93.992 MB. [2026-03-01T00:10:52.116Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T00:11:05.326Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T00:11:24.797Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T00:11:40.461Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T00:11:49.576Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T00:12:02.928Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T00:12:09.369Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T00:12:22.976Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T00:12:23.727Z] 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. [2026-03-01T00:12:23.727Z] The best model improves the baseline by 14.52%. [2026-03-01T00:12:24.994Z] Top recommended movies for user id 72: [2026-03-01T00:12:24.994Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T00:12:24.994Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T00:12:24.994Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T00:12:24.994Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T00:12:24.994Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T00:12:24.994Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (107664.710 ms) ====== [2026-03-01T00:12:24.994Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-01T00:12:25.551Z] GC before operation: completed in 464.584 ms, heap usage 334.528 MB -> 89.510 MB. [2026-03-01T00:12:45.094Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T00:13:00.956Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T00:13:20.286Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T00:13:39.153Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T00:13:48.599Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T00:14:00.395Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T00:14:09.829Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T00:14:20.729Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T00:14:21.254Z] 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. [2026-03-01T00:14:21.254Z] The best model improves the baseline by 14.52%. [2026-03-01T00:14:23.029Z] Top recommended movies for user id 72: [2026-03-01T00:14:23.029Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T00:14:23.029Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T00:14:23.029Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T00:14:23.029Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T00:14:23.029Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T00:14:23.029Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (117449.995 ms) ====== [2026-03-01T00:14:23.029Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-01T00:14:23.029Z] GC before operation: completed in 322.720 ms, heap usage 205.895 MB -> 89.044 MB. [2026-03-01T00:14:38.859Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T00:14:58.088Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T00:15:17.398Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T00:15:36.186Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T00:15:47.503Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T00:15:56.725Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T00:16:07.833Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T00:16:16.758Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T00:16:17.698Z] 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. [2026-03-01T00:16:17.698Z] The best model improves the baseline by 14.52%. [2026-03-01T00:16:18.678Z] Top recommended movies for user id 72: [2026-03-01T00:16:18.678Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T00:16:18.678Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T00:16:18.678Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T00:16:18.678Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T00:16:18.678Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T00:16:18.678Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (115262.425 ms) ====== [2026-03-01T00:16:18.678Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-01T00:16:18.678Z] GC before operation: completed in 338.637 ms, heap usage 245.211 MB -> 89.403 MB. [2026-03-01T00:16:37.720Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T00:16:56.247Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T00:17:19.139Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T00:17:34.306Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T00:17:41.711Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T00:17:50.410Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T00:17:59.885Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T00:18:07.346Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T00:18:07.844Z] 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. [2026-03-01T00:18:07.844Z] The best model improves the baseline by 14.52%. [2026-03-01T00:18:08.371Z] Top recommended movies for user id 72: [2026-03-01T00:18:08.371Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T00:18:08.371Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T00:18:08.371Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T00:18:08.371Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T00:18:08.371Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T00:18:08.371Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (109711.788 ms) ====== [2026-03-01T00:18:08.371Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-01T00:18:10.179Z] GC before operation: completed in 1507.443 ms, heap usage 1.027 GB -> 94.550 MB. [2026-03-01T00:18:32.862Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T00:18:43.985Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T00:18:57.156Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T00:19:09.906Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T00:19:15.940Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T00:19:25.366Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T00:19:33.044Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T00:19:40.708Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T00:19:41.213Z] 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. [2026-03-01T00:19:41.709Z] The best model improves the baseline by 14.52%. [2026-03-01T00:19:42.157Z] Top recommended movies for user id 72: [2026-03-01T00:19:42.157Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T00:19:42.157Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T00:19:42.157Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T00:19:42.157Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T00:19:42.157Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T00:19:42.157Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (92069.918 ms) ====== [2026-03-01T00:19:42.157Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-01T00:19:42.681Z] GC before operation: completed in 355.138 ms, heap usage 249.929 MB -> 89.231 MB. [2026-03-01T00:20:01.735Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T00:20:20.136Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T00:20:36.186Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T00:20:49.238Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T00:20:56.657Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T00:21:07.612Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T00:21:19.325Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T00:21:28.437Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T00:21:29.018Z] 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. [2026-03-01T00:21:29.019Z] The best model improves the baseline by 14.52%. [2026-03-01T00:21:31.048Z] Top recommended movies for user id 72: [2026-03-01T00:21:31.048Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T00:21:31.048Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T00:21:31.048Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T00:21:31.048Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T00:21:31.048Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T00:21:31.048Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (108219.138 ms) ====== [2026-03-01T00:21:31.048Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-01T00:21:31.048Z] GC before operation: completed in 294.925 ms, heap usage 159.483 MB -> 89.122 MB. [2026-03-01T00:21:47.121Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T00:22:06.371Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T00:22:24.999Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T00:22:41.412Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T00:22:49.550Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T00:22:58.918Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T00:23:10.279Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T00:23:19.685Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T00:23:22.254Z] 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. [2026-03-01T00:23:22.254Z] The best model improves the baseline by 14.52%. [2026-03-01T00:23:22.744Z] Top recommended movies for user id 72: [2026-03-01T00:23:22.744Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T00:23:22.744Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T00:23:22.744Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T00:23:22.744Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T00:23:22.744Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T00:23:22.744Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (111608.844 ms) ====== [2026-03-01T00:23:22.744Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-01T00:23:22.744Z] GC before operation: completed in 368.828 ms, heap usage 233.317 MB -> 89.414 MB. [2026-03-01T00:23:38.510Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-01T00:23:54.924Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-01T00:24:11.444Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-01T00:24:30.300Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-01T00:24:41.367Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-01T00:24:52.505Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-01T00:25:03.632Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-01T00:25:14.913Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-01T00:25:15.970Z] 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. [2026-03-01T00:25:15.970Z] The best model improves the baseline by 14.52%. [2026-03-01T00:25:16.425Z] Top recommended movies for user id 72: [2026-03-01T00:25:16.425Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-01T00:25:16.425Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-01T00:25:16.425Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-01T00:25:16.425Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-01T00:25:16.425Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-01T00:25:16.425Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (113520.356 ms) ====== [2026-03-01T00:25:22.339Z] ----------------------------------- [2026-03-01T00:25:22.339Z] renaissance-movie-lens_0_PASSED [2026-03-01T00:25:22.339Z] ----------------------------------- [2026-03-01T00:25:22.339Z] [2026-03-01T00:25:22.339Z] TEST TEARDOWN: [2026-03-01T00:25:22.339Z] Nothing to be done for teardown. [2026-03-01T00:25:22.755Z] renaissance-movie-lens_0 Finish Time: Sat Feb 28 19:25:22 2026 Epoch Time (ms): 1772324722663