[2026-03-05T17:54:38.996Z] Running test renaissance-movie-lens_0 ... [2026-03-05T17:54:38.996Z] =============================================== [2026-03-05T17:54:38.996Z] renaissance-movie-lens_0 Start Time: Thu Mar 5 17:54:38 2026 Epoch Time (ms): 1772733278635 [2026-03-05T17:54:38.996Z] variation: NoOptions [2026-03-05T17:54:38.996Z] JVM_OPTIONS: [2026-03-05T17:54:38.996Z] { \ [2026-03-05T17:54:38.996Z] echo ""; echo "TEST SETUP:"; \ [2026-03-05T17:54:38.996Z] echo "Nothing to be done for setup."; \ [2026-03-05T17:54:38.996Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17727318215358/renaissance-movie-lens_0"; \ [2026-03-05T17:54:38.996Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17727318215358/renaissance-movie-lens_0"; \ [2026-03-05T17:54:38.996Z] echo ""; echo "TESTING:"; \ [2026-03-05T17:54:38.996Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17727318215358/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-05T17:54:38.996Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17727318215358/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-05T17:54:38.996Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-05T17:54:38.996Z] echo "Nothing to be done for teardown."; \ [2026-03-05T17:54:38.996Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17727318215358/TestTargetResult"; [2026-03-05T17:54:38.996Z] [2026-03-05T17:54:38.996Z] TEST SETUP: [2026-03-05T17:54:38.996Z] Nothing to be done for setup. [2026-03-05T17:54:38.996Z] [2026-03-05T17:54:38.996Z] TESTING: [2026-03-05T17:54:48.761Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-03-05T17:55:04.734Z] 17:55:03.325 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. [2026-03-05T17:55:08.112Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-05T17:55:08.875Z] Training: 60056, validation: 20285, test: 19854 [2026-03-05T17:55:08.875Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-05T17:55:09.640Z] GC before operation: completed in 345.661 ms, heap usage 372.690 MB -> 74.513 MB. [2026-03-05T17:55:24.007Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T17:55:32.375Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T17:55:40.595Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T17:55:47.388Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T17:55:51.816Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T17:55:55.206Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T17:55:59.657Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T17:56:04.076Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T17:56:04.076Z] 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. [2026-03-05T17:56:04.840Z] The best model improves the baseline by 14.52%. [2026-03-05T17:56:04.840Z] Top recommended movies for user id 72: [2026-03-05T17:56:04.840Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T17:56:04.840Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T17:56:04.840Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T17:56:04.840Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T17:56:04.840Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T17:56:04.840Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (55526.750 ms) ====== [2026-03-05T17:56:04.840Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-05T17:56:05.599Z] GC before operation: completed in 284.784 ms, heap usage 243.866 MB -> 85.330 MB. [2026-03-05T17:56:12.423Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T17:56:19.207Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T17:56:24.748Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T17:56:30.306Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T17:56:33.694Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T17:56:37.090Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T17:56:39.532Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T17:56:42.945Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T17:56:43.713Z] 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. [2026-03-05T17:56:43.713Z] The best model improves the baseline by 14.52%. [2026-03-05T17:56:43.713Z] Top recommended movies for user id 72: [2026-03-05T17:56:43.713Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T17:56:43.713Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T17:56:43.713Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T17:56:43.713Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T17:56:43.713Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T17:56:43.713Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (38598.540 ms) ====== [2026-03-05T17:56:43.713Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-05T17:56:44.472Z] GC before operation: completed in 222.420 ms, heap usage 168.631 MB -> 87.385 MB. [2026-03-05T17:56:48.879Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T17:56:55.684Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T17:57:01.226Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T17:57:06.786Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T17:57:10.186Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T17:57:13.565Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T17:57:16.975Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T17:57:20.367Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T17:57:20.367Z] 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. [2026-03-05T17:57:20.367Z] The best model improves the baseline by 14.52%. [2026-03-05T17:57:21.128Z] Top recommended movies for user id 72: [2026-03-05T17:57:21.128Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T17:57:21.128Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T17:57:21.128Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T17:57:21.128Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T17:57:21.128Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T17:57:21.128Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (36761.765 ms) ====== [2026-03-05T17:57:21.128Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-05T17:57:21.128Z] GC before operation: completed in 273.810 ms, heap usage 178.295 MB -> 88.057 MB. [2026-03-05T17:57:31.474Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T17:57:36.951Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T17:57:42.610Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T17:57:51.023Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T17:57:53.487Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T17:57:55.269Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T17:57:59.629Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T17:58:02.969Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T17:58:02.969Z] 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. [2026-03-05T17:58:02.969Z] The best model improves the baseline by 14.52%. [2026-03-05T17:58:03.714Z] Top recommended movies for user id 72: [2026-03-05T17:58:03.714Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T17:58:03.714Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T17:58:03.714Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T17:58:03.714Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T17:58:03.714Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T17:58:03.714Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (42405.534 ms) ====== [2026-03-05T17:58:03.714Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-05T17:58:03.714Z] GC before operation: completed in 266.754 ms, heap usage 101.760 MB -> 88.349 MB. [2026-03-05T17:58:10.442Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T17:58:15.926Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T17:58:21.405Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T17:58:28.121Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T17:58:31.448Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T17:58:34.802Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T17:58:38.145Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T17:58:41.477Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T17:58:42.222Z] 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. [2026-03-05T17:58:42.222Z] The best model improves the baseline by 14.52%. [2026-03-05T17:58:42.972Z] Top recommended movies for user id 72: [2026-03-05T17:58:42.972Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T17:58:42.972Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T17:58:42.972Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T17:58:42.972Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T17:58:42.972Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T17:58:42.972Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (38821.070 ms) ====== [2026-03-05T17:58:42.972Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-05T17:58:42.972Z] GC before operation: completed in 309.360 ms, heap usage 208.857 MB -> 88.259 MB. [2026-03-05T17:58:48.437Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T17:58:53.892Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T17:58:59.365Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T17:59:04.835Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T17:59:08.176Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T17:59:11.522Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T17:59:14.854Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T17:59:18.234Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T17:59:18.234Z] 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. [2026-03-05T17:59:18.981Z] The best model improves the baseline by 14.52%. [2026-03-05T17:59:18.981Z] Top recommended movies for user id 72: [2026-03-05T17:59:18.981Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T17:59:18.981Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T17:59:18.981Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T17:59:18.981Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T17:59:18.981Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T17:59:18.981Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (35843.470 ms) ====== [2026-03-05T17:59:18.981Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-05T17:59:18.981Z] GC before operation: completed in 258.372 ms, heap usage 454.111 MB -> 88.951 MB. [2026-03-05T17:59:25.666Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T17:59:31.118Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T17:59:36.567Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T17:59:42.017Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T17:59:45.345Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T17:59:49.701Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T17:59:53.028Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T17:59:57.363Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T17:59:57.363Z] 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. [2026-03-05T17:59:57.363Z] The best model improves the baseline by 14.52%. [2026-03-05T17:59:57.363Z] Top recommended movies for user id 72: [2026-03-05T17:59:57.363Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T17:59:57.363Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T17:59:57.363Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T17:59:57.363Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T17:59:57.363Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T17:59:57.363Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (38526.661 ms) ====== [2026-03-05T17:59:57.363Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-05T17:59:58.114Z] GC before operation: completed in 290.196 ms, heap usage 418.466 MB -> 88.811 MB. [2026-03-05T18:00:03.586Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T18:00:07.948Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T18:00:13.427Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T18:00:18.870Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T18:00:21.810Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T18:00:25.276Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T18:00:27.703Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T18:00:31.034Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T18:00:31.783Z] 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. [2026-03-05T18:00:31.783Z] The best model improves the baseline by 14.52%. [2026-03-05T18:00:31.783Z] Top recommended movies for user id 72: [2026-03-05T18:00:31.783Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T18:00:31.783Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T18:00:31.783Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T18:00:31.783Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T18:00:31.783Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T18:00:31.783Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (33943.965 ms) ====== [2026-03-05T18:00:31.783Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-05T18:00:32.531Z] GC before operation: completed in 279.695 ms, heap usage 400.373 MB -> 89.033 MB. [2026-03-05T18:00:38.001Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T18:00:43.500Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T18:00:47.838Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T18:00:53.316Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T18:00:56.636Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T18:00:59.966Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T18:01:03.296Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T18:01:06.632Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T18:01:07.379Z] 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. [2026-03-05T18:01:07.379Z] The best model improves the baseline by 14.52%. [2026-03-05T18:01:07.379Z] Top recommended movies for user id 72: [2026-03-05T18:01:07.379Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T18:01:07.379Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T18:01:07.379Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T18:01:07.379Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T18:01:07.379Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T18:01:07.379Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (35575.780 ms) ====== [2026-03-05T18:01:07.379Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-05T18:01:08.130Z] GC before operation: completed in 337.909 ms, heap usage 177.770 MB -> 88.625 MB. [2026-03-05T18:01:16.221Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T18:01:22.958Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T18:01:28.413Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T18:01:33.860Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T18:01:37.182Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T18:01:41.506Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T18:01:45.859Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T18:01:54.375Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T18:01:55.140Z] 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. [2026-03-05T18:01:55.140Z] The best model improves the baseline by 14.52%. [2026-03-05T18:01:55.140Z] Top recommended movies for user id 72: [2026-03-05T18:01:55.140Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T18:01:55.140Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T18:01:55.140Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T18:01:55.140Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T18:01:55.140Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T18:01:55.140Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (47286.769 ms) ====== [2026-03-05T18:01:55.140Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-05T18:01:59.440Z] GC before operation: completed in 365.828 ms, heap usage 402.980 MB -> 89.073 MB. [2026-03-05T18:02:04.887Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T18:02:11.576Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T18:02:17.063Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T18:02:22.529Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T18:02:27.020Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T18:02:29.496Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T18:02:33.839Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T18:02:37.186Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T18:02:37.932Z] 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. [2026-03-05T18:02:37.932Z] The best model improves the baseline by 14.52%. [2026-03-05T18:02:37.932Z] Top recommended movies for user id 72: [2026-03-05T18:02:37.932Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T18:02:37.932Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T18:02:37.932Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T18:02:37.932Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T18:02:37.932Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T18:02:37.932Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (42247.626 ms) ====== [2026-03-05T18:02:37.932Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-05T18:02:38.678Z] GC before operation: completed in 331.124 ms, heap usage 242.459 MB -> 88.564 MB. [2026-03-05T18:02:44.700Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T18:02:50.170Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T18:02:55.647Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T18:03:02.321Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T18:03:06.703Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T18:03:10.010Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T18:03:13.340Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T18:03:16.664Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T18:03:16.664Z] 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. [2026-03-05T18:03:16.664Z] The best model improves the baseline by 14.52%. [2026-03-05T18:03:16.664Z] Top recommended movies for user id 72: [2026-03-05T18:03:16.664Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T18:03:16.664Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T18:03:16.664Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T18:03:16.664Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T18:03:16.664Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T18:03:16.664Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (38668.767 ms) ====== [2026-03-05T18:03:16.664Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-05T18:03:17.412Z] GC before operation: completed in 237.511 ms, heap usage 113.573 MB -> 88.668 MB. [2026-03-05T18:03:24.176Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T18:03:29.714Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T18:03:36.405Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T18:03:40.740Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T18:03:45.083Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T18:03:48.389Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T18:03:51.713Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T18:03:56.044Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T18:03:56.044Z] 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. [2026-03-05T18:03:56.044Z] The best model improves the baseline by 14.52%. [2026-03-05T18:03:56.786Z] Top recommended movies for user id 72: [2026-03-05T18:03:56.786Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T18:03:56.786Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T18:03:56.786Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T18:03:56.786Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T18:03:56.786Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T18:03:56.786Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (39414.858 ms) ====== [2026-03-05T18:03:56.786Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-05T18:03:56.786Z] GC before operation: completed in 312.793 ms, heap usage 109.267 MB -> 88.768 MB. [2026-03-05T18:04:02.233Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T18:04:08.962Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T18:04:14.435Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T18:04:19.977Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T18:04:23.304Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T18:04:26.647Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T18:04:29.981Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T18:04:33.314Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T18:04:33.315Z] 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. [2026-03-05T18:04:33.315Z] The best model improves the baseline by 14.52%. [2026-03-05T18:04:33.315Z] Top recommended movies for user id 72: [2026-03-05T18:04:33.315Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T18:04:33.315Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T18:04:33.315Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T18:04:33.315Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T18:04:33.315Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T18:04:33.315Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (36587.980 ms) ====== [2026-03-05T18:04:33.315Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-05T18:04:34.066Z] GC before operation: completed in 293.747 ms, heap usage 461.525 MB -> 89.021 MB. [2026-03-05T18:04:39.543Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T18:04:46.309Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T18:04:51.795Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T18:04:58.521Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T18:05:01.865Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T18:05:05.190Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T18:05:08.527Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T18:05:10.932Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T18:05:10.932Z] 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. [2026-03-05T18:05:11.678Z] The best model improves the baseline by 14.52%. [2026-03-05T18:05:11.678Z] Top recommended movies for user id 72: [2026-03-05T18:05:11.679Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T18:05:11.679Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T18:05:11.679Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T18:05:11.679Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T18:05:11.679Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T18:05:11.679Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (37847.686 ms) ====== [2026-03-05T18:05:11.679Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-05T18:05:11.679Z] GC before operation: completed in 267.220 ms, heap usage 254.719 MB -> 88.994 MB. [2026-03-05T18:05:16.531Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T18:05:21.996Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T18:05:27.578Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T18:05:33.033Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T18:05:36.377Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T18:05:39.699Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T18:05:44.081Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T18:05:47.429Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T18:05:48.173Z] 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. [2026-03-05T18:05:48.173Z] The best model improves the baseline by 14.52%. [2026-03-05T18:05:48.173Z] Top recommended movies for user id 72: [2026-03-05T18:05:48.173Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T18:05:48.173Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T18:05:48.173Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T18:05:48.173Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T18:05:48.173Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T18:05:48.173Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (36192.720 ms) ====== [2026-03-05T18:05:48.173Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-05T18:05:48.173Z] GC before operation: completed in 356.570 ms, heap usage 285.746 MB -> 88.925 MB. [2026-03-05T18:05:54.892Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T18:06:01.613Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T18:06:07.093Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T18:06:12.552Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T18:06:17.463Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T18:06:20.821Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T18:06:24.163Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T18:06:28.528Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T18:06:28.528Z] 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. [2026-03-05T18:06:29.285Z] The best model improves the baseline by 14.52%. [2026-03-05T18:06:29.285Z] Top recommended movies for user id 72: [2026-03-05T18:06:29.285Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T18:06:29.285Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T18:06:29.285Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T18:06:29.285Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T18:06:29.285Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T18:06:29.285Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (40780.002 ms) ====== [2026-03-05T18:06:29.285Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-05T18:06:29.285Z] GC before operation: completed in 376.709 ms, heap usage 174.815 MB -> 88.854 MB. [2026-03-05T18:06:37.423Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T18:06:42.899Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T18:06:48.403Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T18:06:55.103Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T18:06:58.833Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T18:07:02.168Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T18:07:05.495Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T18:07:09.856Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T18:07:09.856Z] 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. [2026-03-05T18:07:09.856Z] The best model improves the baseline by 14.52%. [2026-03-05T18:07:10.610Z] Top recommended movies for user id 72: [2026-03-05T18:07:10.610Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T18:07:10.610Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T18:07:10.610Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T18:07:10.610Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T18:07:10.610Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T18:07:10.610Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (40616.261 ms) ====== [2026-03-05T18:07:10.610Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-05T18:07:10.610Z] GC before operation: completed in 360.218 ms, heap usage 505.822 MB -> 89.119 MB. [2026-03-05T18:07:17.332Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T18:07:22.813Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T18:07:29.508Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T18:07:34.970Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T18:07:39.314Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T18:07:42.704Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T18:07:46.276Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T18:07:49.603Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T18:07:50.345Z] 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. [2026-03-05T18:07:50.345Z] The best model improves the baseline by 14.52%. [2026-03-05T18:07:51.084Z] Top recommended movies for user id 72: [2026-03-05T18:07:51.084Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T18:07:51.084Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T18:07:51.084Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T18:07:51.084Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T18:07:51.084Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T18:07:51.084Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (40111.695 ms) ====== [2026-03-05T18:07:51.084Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-05T18:07:51.084Z] GC before operation: completed in 364.380 ms, heap usage 196.419 MB -> 88.910 MB. [2026-03-05T18:07:57.801Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T18:08:03.254Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T18:08:09.942Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T18:08:16.675Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T18:08:20.000Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T18:08:23.322Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T18:08:26.682Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T18:08:29.114Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T18:08:29.857Z] 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. [2026-03-05T18:08:29.858Z] The best model improves the baseline by 14.52%. [2026-03-05T18:08:29.858Z] Top recommended movies for user id 72: [2026-03-05T18:08:29.858Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T18:08:29.858Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T18:08:29.858Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T18:08:29.858Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T18:08:29.858Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T18:08:29.858Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (38906.136 ms) ====== [2026-03-05T18:08:30.606Z] ----------------------------------- [2026-03-05T18:08:30.606Z] renaissance-movie-lens_0_PASSED [2026-03-05T18:08:30.606Z] ----------------------------------- [2026-03-05T18:08:30.606Z] [2026-03-05T18:08:30.606Z] TEST TEARDOWN: [2026-03-05T18:08:30.606Z] Nothing to be done for teardown. [2026-03-05T18:08:30.606Z] renaissance-movie-lens_0 Finish Time: Thu Mar 5 18:08:30 2026 Epoch Time (ms): 1772734110423