[2026-01-31T11:39:34.716Z] Running test renaissance-movie-lens_0 ... [2026-01-31T11:39:34.716Z] =============================================== [2026-01-31T11:39:34.716Z] renaissance-movie-lens_0 Start Time: Sat Jan 31 11:39:33 2026 Epoch Time (ms): 1769859573730 [2026-01-31T11:39:34.716Z] variation: NoOptions [2026-01-31T11:39:34.716Z] JVM_OPTIONS: [2026-01-31T11:39:34.716Z] { \ [2026-01-31T11:39:34.716Z] echo ""; echo "TEST SETUP:"; \ [2026-01-31T11:39:34.716Z] echo "Nothing to be done for setup."; \ [2026-01-31T11:39:34.716Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17698587585945/renaissance-movie-lens_0"; \ [2026-01-31T11:39:34.716Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17698587585945/renaissance-movie-lens_0"; \ [2026-01-31T11:39:34.716Z] echo ""; echo "TESTING:"; \ [2026-01-31T11:39:34.716Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_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_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17698587585945/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-31T11:39:34.716Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17698587585945/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-31T11:39:34.716Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-31T11:39:34.716Z] echo "Nothing to be done for teardown."; \ [2026-01-31T11:39:34.716Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17698587585945/TestTargetResult"; [2026-01-31T11:39:34.716Z] [2026-01-31T11:39:34.716Z] TEST SETUP: [2026-01-31T11:39:34.716Z] Nothing to be done for setup. [2026-01-31T11:39:34.716Z] [2026-01-31T11:39:34.716Z] TESTING: [2026-01-31T11:39:34.716Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-31T11:39:34.716Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/output_17698587585945/renaissance-movie-lens_0/launcher-113933-12288973269442477812/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-31T11:39:34.716Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-31T11:39:34.716Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-31T11:39:38.921Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-31T11:39:45.710Z] 11:39:44.996 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-31T11:39:47.690Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-31T11:39:47.690Z] Training: 60056, validation: 20285, test: 19854 [2026-01-31T11:39:47.690Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-31T11:39:48.658Z] GC before operation: completed in 138.112 ms, heap usage 208.625 MB -> 75.488 MB. [2026-01-31T11:39:52.865Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:39:57.099Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:40:00.161Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:40:02.145Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:40:04.128Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:40:06.119Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:40:07.086Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:40:09.099Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:40:09.099Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:40:09.099Z] The best model improves the baseline by 14.52%. [2026-01-31T11:40:09.099Z] Top recommended movies for user id 72: [2026-01-31T11:40:09.099Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:40:09.099Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:40:09.099Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:40:09.099Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:40:09.099Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:40:09.099Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (21148.854 ms) ====== [2026-01-31T11:40:09.099Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-31T11:40:09.099Z] GC before operation: completed in 117.690 ms, heap usage 301.512 MB -> 89.503 MB. [2026-01-31T11:40:12.155Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:40:14.143Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:40:17.199Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:40:19.189Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:40:21.171Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:40:22.136Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:40:24.121Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:40:25.092Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:40:25.092Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:40:25.092Z] The best model improves the baseline by 14.52%. [2026-01-31T11:40:26.059Z] Top recommended movies for user id 72: [2026-01-31T11:40:26.059Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:40:26.059Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:40:26.059Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:40:26.059Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:40:26.059Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:40:26.059Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16087.686 ms) ====== [2026-01-31T11:40:26.059Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-31T11:40:26.059Z] GC before operation: completed in 109.980 ms, heap usage 403.625 MB -> 88.490 MB. [2026-01-31T11:40:28.051Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:40:31.475Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:40:32.439Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:40:34.427Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:40:36.406Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:40:37.374Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:40:39.360Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:40:40.331Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:40:40.331Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:40:40.331Z] The best model improves the baseline by 14.52%. [2026-01-31T11:40:40.331Z] Top recommended movies for user id 72: [2026-01-31T11:40:40.331Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:40:40.331Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:40:40.331Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:40:40.331Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:40:40.331Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:40:40.331Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15024.417 ms) ====== [2026-01-31T11:40:40.331Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-31T11:40:41.297Z] GC before operation: completed in 133.712 ms, heap usage 238.497 MB -> 88.875 MB. [2026-01-31T11:40:43.278Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:40:45.261Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:40:47.251Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:40:50.313Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:40:51.281Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:40:53.262Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:40:54.231Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:40:55.196Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:40:56.169Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:40:56.169Z] The best model improves the baseline by 14.52%. [2026-01-31T11:40:56.169Z] Top recommended movies for user id 72: [2026-01-31T11:40:56.169Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:40:56.169Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:40:56.169Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:40:56.169Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:40:56.169Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:40:56.169Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15171.004 ms) ====== [2026-01-31T11:40:56.169Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-31T11:40:56.169Z] GC before operation: completed in 125.888 ms, heap usage 380.992 MB -> 89.464 MB. [2026-01-31T11:40:58.152Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:41:00.143Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:41:03.377Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:41:05.360Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:41:06.327Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:41:07.292Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:41:09.273Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:41:10.238Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:41:10.238Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:41:10.238Z] The best model improves the baseline by 14.52%. [2026-01-31T11:41:10.238Z] Top recommended movies for user id 72: [2026-01-31T11:41:10.238Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:41:10.238Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:41:10.238Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:41:10.238Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:41:10.238Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:41:10.238Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (14196.605 ms) ====== [2026-01-31T11:41:10.238Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-31T11:41:10.238Z] GC before operation: completed in 120.031 ms, heap usage 248.536 MB -> 89.211 MB. [2026-01-31T11:41:12.225Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:41:14.206Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:41:17.376Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:41:18.340Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:41:20.321Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:41:21.287Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:41:22.255Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:41:23.228Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:41:24.193Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:41:24.193Z] The best model improves the baseline by 14.52%. [2026-01-31T11:41:24.193Z] Top recommended movies for user id 72: [2026-01-31T11:41:24.193Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:41:24.193Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:41:24.193Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:41:24.193Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:41:24.193Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:41:24.193Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (13605.203 ms) ====== [2026-01-31T11:41:24.193Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-31T11:41:24.193Z] GC before operation: completed in 171.077 ms, heap usage 363.450 MB -> 89.720 MB. [2026-01-31T11:41:26.175Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:41:28.418Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:41:30.397Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:41:32.376Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:41:33.343Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:41:35.323Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:41:36.292Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:41:37.258Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:41:38.223Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:41:38.223Z] The best model improves the baseline by 14.52%. [2026-01-31T11:41:38.223Z] Top recommended movies for user id 72: [2026-01-31T11:41:38.223Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:41:38.223Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:41:38.223Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:41:38.223Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:41:38.223Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:41:38.223Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (13777.204 ms) ====== [2026-01-31T11:41:38.223Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-31T11:41:38.223Z] GC before operation: completed in 159.116 ms, heap usage 191.340 MB -> 89.435 MB. [2026-01-31T11:41:40.208Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:41:42.190Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:41:45.291Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:41:47.276Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:41:48.241Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:41:49.207Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:41:50.173Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:41:52.160Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:41:52.160Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:41:52.160Z] The best model improves the baseline by 14.52%. [2026-01-31T11:41:52.160Z] Top recommended movies for user id 72: [2026-01-31T11:41:52.160Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:41:52.160Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:41:52.160Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:41:52.160Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:41:52.160Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:41:52.160Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14071.192 ms) ====== [2026-01-31T11:41:52.160Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-31T11:41:52.160Z] GC before operation: completed in 141.373 ms, heap usage 489.498 MB -> 90.000 MB. [2026-01-31T11:41:54.137Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:41:56.114Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:41:59.183Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:42:01.161Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:42:02.131Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:42:03.095Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:42:04.060Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:42:06.046Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:42:06.046Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:42:06.046Z] The best model improves the baseline by 14.52%. [2026-01-31T11:42:06.046Z] Top recommended movies for user id 72: [2026-01-31T11:42:06.046Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:42:06.046Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:42:06.046Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:42:06.046Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:42:06.046Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:42:06.046Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (13628.012 ms) ====== [2026-01-31T11:42:06.046Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-31T11:42:06.046Z] GC before operation: completed in 163.065 ms, heap usage 812.252 MB -> 93.644 MB. [2026-01-31T11:42:08.026Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:42:10.006Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:42:11.994Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:42:13.975Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:42:15.955Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:42:16.922Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:42:17.888Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:42:19.873Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:42:19.873Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:42:19.873Z] The best model improves the baseline by 14.52%. [2026-01-31T11:42:19.873Z] Top recommended movies for user id 72: [2026-01-31T11:42:19.873Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:42:19.873Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:42:19.873Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:42:19.873Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:42:19.873Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:42:19.873Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (13713.954 ms) ====== [2026-01-31T11:42:19.873Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-31T11:42:19.873Z] GC before operation: completed in 125.396 ms, heap usage 293.559 MB -> 89.878 MB. [2026-01-31T11:42:21.852Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:42:25.075Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:42:26.042Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:42:28.027Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:42:30.020Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:42:30.990Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:42:31.958Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:42:33.983Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:42:33.983Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:42:33.983Z] The best model improves the baseline by 14.52%. [2026-01-31T11:42:33.983Z] Top recommended movies for user id 72: [2026-01-31T11:42:33.983Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:42:33.983Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:42:33.983Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:42:33.983Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:42:33.983Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:42:33.983Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (13930.294 ms) ====== [2026-01-31T11:42:33.983Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-31T11:42:33.983Z] GC before operation: completed in 118.083 ms, heap usage 178.957 MB -> 89.495 MB. [2026-01-31T11:42:35.961Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:42:37.941Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:42:40.996Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:42:41.962Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:42:43.943Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:42:44.908Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:42:46.885Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:42:47.861Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:42:47.861Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:42:47.861Z] The best model improves the baseline by 14.52%. [2026-01-31T11:42:47.861Z] Top recommended movies for user id 72: [2026-01-31T11:42:47.861Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:42:47.861Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:42:47.861Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:42:47.861Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:42:47.861Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:42:47.861Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14054.473 ms) ====== [2026-01-31T11:42:47.861Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-31T11:42:47.861Z] GC before operation: completed in 110.112 ms, heap usage 125.655 MB -> 89.628 MB. [2026-01-31T11:42:49.844Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:42:51.823Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:42:53.815Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:42:55.795Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:42:56.789Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:42:57.833Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:42:59.814Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:43:00.780Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:43:00.780Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:43:00.780Z] The best model improves the baseline by 14.52%. [2026-01-31T11:43:00.780Z] Top recommended movies for user id 72: [2026-01-31T11:43:00.780Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:43:00.780Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:43:00.780Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:43:00.780Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:43:00.780Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:43:00.780Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (12840.622 ms) ====== [2026-01-31T11:43:00.780Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-31T11:43:00.780Z] GC before operation: completed in 131.444 ms, heap usage 295.224 MB -> 89.906 MB. [2026-01-31T11:43:03.835Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:43:05.813Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:43:07.792Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:43:09.775Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:43:10.739Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:43:11.707Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:43:13.688Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:43:14.651Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:43:14.651Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:43:14.651Z] The best model improves the baseline by 14.52%. [2026-01-31T11:43:15.617Z] Top recommended movies for user id 72: [2026-01-31T11:43:15.617Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:43:15.617Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:43:15.617Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:43:15.617Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:43:15.617Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:43:15.617Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14024.481 ms) ====== [2026-01-31T11:43:15.617Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-31T11:43:15.617Z] GC before operation: completed in 110.692 ms, heap usage 202.943 MB -> 89.657 MB. [2026-01-31T11:43:17.594Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:43:20.418Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:43:21.386Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:43:23.367Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:43:25.349Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:43:26.461Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:43:27.424Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:43:28.389Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:43:28.389Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:43:28.389Z] The best model improves the baseline by 14.52%. [2026-01-31T11:43:29.355Z] Top recommended movies for user id 72: [2026-01-31T11:43:29.355Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:43:29.355Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:43:29.355Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:43:29.355Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:43:29.355Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:43:29.355Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (13641.443 ms) ====== [2026-01-31T11:43:29.355Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-31T11:43:29.355Z] GC before operation: completed in 119.389 ms, heap usage 293.864 MB -> 89.981 MB. [2026-01-31T11:43:31.332Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:43:33.315Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:43:35.292Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:43:37.269Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:43:38.234Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:43:40.213Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:43:41.178Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:43:42.142Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:43:42.142Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:43:42.142Z] The best model improves the baseline by 14.52%. [2026-01-31T11:43:42.142Z] Top recommended movies for user id 72: [2026-01-31T11:43:42.142Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:43:42.142Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:43:42.142Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:43:42.142Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:43:42.142Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:43:42.142Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (13436.857 ms) ====== [2026-01-31T11:43:42.142Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-31T11:43:43.108Z] GC before operation: completed in 110.741 ms, heap usage 286.724 MB -> 89.782 MB. [2026-01-31T11:43:45.097Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:43:47.078Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:43:49.063Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:43:51.047Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:43:52.015Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:43:52.981Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:43:54.969Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:43:55.944Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:43:55.944Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:43:55.944Z] The best model improves the baseline by 14.52%. [2026-01-31T11:43:56.912Z] Top recommended movies for user id 72: [2026-01-31T11:43:56.912Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:43:56.912Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:43:56.912Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:43:56.912Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:43:56.913Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:43:56.913Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (13890.181 ms) ====== [2026-01-31T11:43:56.913Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-31T11:43:56.913Z] GC before operation: completed in 112.716 ms, heap usage 371.653 MB -> 90.014 MB. [2026-01-31T11:43:58.959Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:44:00.935Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:44:02.910Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:44:04.888Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:44:06.865Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:44:07.833Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:44:09.813Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:44:10.779Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:44:10.779Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:44:10.779Z] The best model improves the baseline by 14.52%. [2026-01-31T11:44:10.779Z] Top recommended movies for user id 72: [2026-01-31T11:44:10.779Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:44:10.779Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:44:10.779Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:44:10.779Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:44:10.779Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:44:10.779Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14554.866 ms) ====== [2026-01-31T11:44:10.779Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-31T11:44:11.744Z] GC before operation: completed in 124.987 ms, heap usage 381.182 MB -> 89.832 MB. [2026-01-31T11:44:13.725Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:44:15.767Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:44:17.745Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:44:19.759Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:44:20.722Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:44:22.697Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:44:23.660Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:44:25.638Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:44:25.638Z] 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. [2026-01-31T11:44:25.638Z] The best model improves the baseline by 14.52%. [2026-01-31T11:44:25.638Z] Top recommended movies for user id 72: [2026-01-31T11:44:25.638Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:44:25.639Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:44:25.639Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:44:25.639Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:44:25.639Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:44:25.639Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14402.745 ms) ====== [2026-01-31T11:44:25.639Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-31T11:44:25.639Z] GC before operation: completed in 120.882 ms, heap usage 367.687 MB -> 90.020 MB. [2026-01-31T11:44:27.658Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T11:44:29.635Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T11:44:32.690Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T11:44:34.668Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T11:44:35.632Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T11:44:37.611Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T11:44:38.575Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T11:44:39.538Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T11:44:40.505Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T11:44:40.505Z] The best model improves the baseline by 14.52%. [2026-01-31T11:44:40.505Z] Top recommended movies for user id 72: [2026-01-31T11:44:40.505Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T11:44:40.505Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T11:44:40.505Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T11:44:40.505Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T11:44:40.505Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T11:44:40.505Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14471.046 ms) ====== [2026-01-31T11:44:40.505Z] ----------------------------------- [2026-01-31T11:44:40.505Z] renaissance-movie-lens_0_PASSED [2026-01-31T11:44:40.506Z] ----------------------------------- [2026-01-31T11:44:40.506Z] [2026-01-31T11:44:40.506Z] TEST TEARDOWN: [2026-01-31T11:44:40.506Z] Nothing to be done for teardown. [2026-01-31T11:44:40.506Z] renaissance-movie-lens_0 Finish Time: Sat Jan 31 11:44:40 2026 Epoch Time (ms): 1769859880255