[2026-02-28T23:23:22.084Z] Running test renaissance-movie-lens_0 ... [2026-02-28T23:23:22.084Z] =============================================== [2026-02-28T23:23:22.084Z] renaissance-movie-lens_0 Start Time: Sat Feb 28 23:23:21 2026 Epoch Time (ms): 1772321001979 [2026-02-28T23:23:22.084Z] variation: NoOptions [2026-02-28T23:23:23.044Z] JVM_OPTIONS: [2026-02-28T23:23:23.044Z] { \ [2026-02-28T23:23:23.044Z] echo ""; echo "TEST SETUP:"; \ [2026-02-28T23:23:23.044Z] echo "Nothing to be done for setup."; \ [2026-02-28T23:23:23.044Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17723194885488/renaissance-movie-lens_0"; \ [2026-02-28T23:23:23.044Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17723194885488/renaissance-movie-lens_0"; \ [2026-02-28T23:23:23.044Z] echo ""; echo "TESTING:"; \ [2026-02-28T23:23:23.044Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_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_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17723194885488/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-28T23:23:23.044Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17723194885488/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-28T23:23:23.044Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-28T23:23:23.044Z] echo "Nothing to be done for teardown."; \ [2026-02-28T23:23:23.044Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17723194885488/TestTargetResult"; [2026-02-28T23:23:23.044Z] [2026-02-28T23:23:23.044Z] TEST SETUP: [2026-02-28T23:23:23.044Z] Nothing to be done for setup. [2026-02-28T23:23:23.044Z] [2026-02-28T23:23:23.044Z] TESTING: [2026-02-28T23:23:23.044Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-28T23:23:23.044Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/output_17723194885488/renaissance-movie-lens_0/launcher-232322-2615150832946187611/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-28T23:23:23.044Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-28T23:23:23.044Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-28T23:23:31.241Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-28T23:23:41.693Z] 23:23:41.016 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-28T23:23:44.833Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-28T23:23:44.833Z] Training: 60056, validation: 20285, test: 19854 [2026-02-28T23:23:44.833Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-28T23:23:45.799Z] GC before operation: completed in 155.470 ms, heap usage 158.706 MB -> 75.867 MB. [2026-02-28T23:23:54.030Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:23:59.464Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:24:04.896Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:24:09.089Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:24:11.083Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:24:14.146Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:24:17.191Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:24:19.167Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:24:19.167Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-28T23:24:20.129Z] The best model improves the baseline by 14.52%. [2026-02-28T23:24:20.129Z] Top recommended movies for user id 72: [2026-02-28T23:24:20.129Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:24:20.129Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:24:20.129Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:24:20.129Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:24:20.129Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:24:20.129Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (34625.545 ms) ====== [2026-02-28T23:24:20.129Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-28T23:24:20.129Z] GC before operation: completed in 184.353 ms, heap usage 299.391 MB -> 86.620 MB. [2026-02-28T23:24:24.323Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:24:28.505Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:24:32.694Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:24:35.747Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:24:37.721Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:24:39.698Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:24:41.780Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:24:44.288Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:24:44.288Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-28T23:24:44.288Z] The best model improves the baseline by 14.52%. [2026-02-28T23:24:44.288Z] Top recommended movies for user id 72: [2026-02-28T23:24:44.288Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:24:44.288Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:24:44.288Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:24:44.288Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:24:44.288Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:24:44.288Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (24401.681 ms) ====== [2026-02-28T23:24:44.288Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-28T23:24:45.248Z] GC before operation: completed in 180.272 ms, heap usage 248.868 MB -> 88.696 MB. [2026-02-28T23:24:48.302Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:24:52.497Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:24:55.544Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:24:58.596Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:25:00.571Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:25:02.546Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:25:04.519Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:25:06.501Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:25:07.467Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-28T23:25:07.467Z] The best model improves the baseline by 14.52%. [2026-02-28T23:25:07.467Z] Top recommended movies for user id 72: [2026-02-28T23:25:07.467Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:25:07.467Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:25:07.467Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:25:07.467Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:25:07.467Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:25:07.468Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (22706.627 ms) ====== [2026-02-28T23:25:07.468Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-28T23:25:07.468Z] GC before operation: completed in 164.359 ms, heap usage 117.747 MB -> 89.195 MB. [2026-02-28T23:25:11.668Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:25:14.712Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:25:17.761Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:25:21.954Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:25:23.929Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:25:25.907Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:25:27.886Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:25:29.867Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:25:29.867Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-28T23:25:29.867Z] The best model improves the baseline by 14.52%. [2026-02-28T23:25:30.830Z] Top recommended movies for user id 72: [2026-02-28T23:25:30.831Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:25:30.831Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:25:30.831Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:25:30.831Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:25:30.831Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:25:30.831Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (22842.163 ms) ====== [2026-02-28T23:25:30.831Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-28T23:25:30.831Z] GC before operation: completed in 172.221 ms, heap usage 102.686 MB -> 92.279 MB. [2026-02-28T23:25:33.880Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:25:38.075Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:25:42.268Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:25:45.434Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:25:47.416Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:25:49.399Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:25:52.114Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:25:54.090Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:25:54.090Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-28T23:25:54.090Z] The best model improves the baseline by 14.52%. [2026-02-28T23:25:54.090Z] Top recommended movies for user id 72: [2026-02-28T23:25:54.090Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:25:54.090Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:25:54.090Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:25:54.090Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:25:54.090Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:25:54.090Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (23758.066 ms) ====== [2026-02-28T23:25:54.090Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-28T23:25:55.053Z] GC before operation: completed in 171.533 ms, heap usage 205.128 MB -> 89.568 MB. [2026-02-28T23:25:58.105Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:26:02.306Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:26:05.358Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:26:08.415Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:26:10.394Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:26:12.374Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:26:14.351Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:26:15.317Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:26:16.278Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-28T23:26:16.278Z] The best model improves the baseline by 14.52%. [2026-02-28T23:26:16.278Z] Top recommended movies for user id 72: [2026-02-28T23:26:16.278Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:26:16.278Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:26:16.278Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:26:16.278Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:26:16.278Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:26:16.278Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (21547.953 ms) ====== [2026-02-28T23:26:16.278Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-28T23:26:16.278Z] GC before operation: completed in 178.824 ms, heap usage 419.441 MB -> 90.244 MB. [2026-02-28T23:26:20.473Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:26:22.447Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:26:26.658Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:26:29.703Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:26:31.682Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:26:33.657Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:26:35.637Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:26:37.610Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:26:37.610Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-28T23:26:37.610Z] The best model improves the baseline by 14.52%. [2026-02-28T23:26:38.576Z] Top recommended movies for user id 72: [2026-02-28T23:26:38.576Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:26:38.576Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:26:38.576Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:26:38.576Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:26:38.576Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:26:38.576Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (21742.701 ms) ====== [2026-02-28T23:26:38.576Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-28T23:26:38.576Z] GC before operation: completed in 157.531 ms, heap usage 212.805 MB -> 89.857 MB. [2026-02-28T23:26:41.622Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:26:44.836Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:26:47.881Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:26:50.929Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:26:52.906Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:26:54.879Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:26:56.866Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:26:58.851Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:26:58.851Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-28T23:26:58.851Z] The best model improves the baseline by 14.52%. [2026-02-28T23:27:00.527Z] Top recommended movies for user id 72: [2026-02-28T23:27:00.527Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:27:00.527Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:27:00.527Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:27:00.527Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:27:00.527Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:27:00.527Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (21217.713 ms) ====== [2026-02-28T23:27:00.527Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-28T23:27:00.527Z] GC before operation: completed in 168.490 ms, heap usage 203.503 MB -> 90.073 MB. [2026-02-28T23:27:03.592Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:27:06.643Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:27:09.695Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:27:12.746Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:27:14.717Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:27:16.691Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:27:18.666Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:27:20.641Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:27:20.641Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-28T23:27:21.603Z] The best model improves the baseline by 14.52%. [2026-02-28T23:27:21.603Z] Top recommended movies for user id 72: [2026-02-28T23:27:21.603Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:27:21.603Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:27:21.603Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:27:21.603Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:27:21.603Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:27:21.603Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (21708.109 ms) ====== [2026-02-28T23:27:21.603Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-28T23:27:21.603Z] GC before operation: completed in 173.732 ms, heap usage 321.909 MB -> 90.108 MB. [2026-02-28T23:27:25.793Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:27:28.842Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:27:31.899Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:27:34.953Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:27:36.928Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:27:38.908Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:27:40.882Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:27:42.863Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:27:43.826Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-28T23:27:43.826Z] The best model improves the baseline by 14.52%. [2026-02-28T23:27:43.826Z] Top recommended movies for user id 72: [2026-02-28T23:27:43.826Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:27:43.826Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:27:43.826Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:27:43.826Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:27:43.826Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:27:43.826Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (22339.848 ms) ====== [2026-02-28T23:27:43.826Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-28T23:27:43.826Z] GC before operation: completed in 166.765 ms, heap usage 367.432 MB -> 90.373 MB. [2026-02-28T23:27:48.018Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:27:51.061Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:27:54.110Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:27:57.157Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:27:59.139Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:28:01.118Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:28:03.097Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:28:05.068Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:28:05.068Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-28T23:28:05.068Z] The best model improves the baseline by 14.52%. [2026-02-28T23:28:06.029Z] Top recommended movies for user id 72: [2026-02-28T23:28:06.029Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:28:06.029Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:28:06.029Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:28:06.029Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:28:06.029Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:28:06.029Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (21578.585 ms) ====== [2026-02-28T23:28:06.029Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-28T23:28:06.029Z] GC before operation: completed in 174.542 ms, heap usage 572.107 MB -> 93.617 MB. [2026-02-28T23:28:08.887Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:28:13.074Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:28:16.300Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:28:19.359Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:28:21.329Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:28:23.311Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:28:25.291Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:28:27.267Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:28:27.267Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-28T23:28:27.267Z] The best model improves the baseline by 14.52%. [2026-02-28T23:28:27.267Z] Top recommended movies for user id 72: [2026-02-28T23:28:27.267Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:28:27.267Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:28:27.267Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:28:27.267Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:28:27.267Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:28:27.267Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (21810.616 ms) ====== [2026-02-28T23:28:27.267Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-28T23:28:28.232Z] GC before operation: completed in 167.868 ms, heap usage 411.063 MB -> 90.326 MB. [2026-02-28T23:28:31.279Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:28:34.330Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:28:37.386Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:28:40.434Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:28:42.411Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:28:44.386Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:28:47.437Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:28:48.401Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:28:49.362Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-28T23:28:49.362Z] The best model improves the baseline by 14.52%. [2026-02-28T23:28:49.362Z] Top recommended movies for user id 72: [2026-02-28T23:28:49.362Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:28:49.362Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:28:49.362Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:28:49.362Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:28:49.362Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:28:49.362Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (21638.338 ms) ====== [2026-02-28T23:28:49.362Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-28T23:28:49.362Z] GC before operation: completed in 168.476 ms, heap usage 123.334 MB -> 90.083 MB. [2026-02-28T23:28:53.560Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:28:55.538Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:28:58.590Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:29:01.643Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:29:03.627Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:29:05.602Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:29:07.576Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:29:09.562Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:29:10.528Z] 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. [2026-02-28T23:29:10.528Z] The best model improves the baseline by 14.52%. [2026-02-28T23:29:10.528Z] Top recommended movies for user id 72: [2026-02-28T23:29:10.528Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:29:10.528Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:29:10.528Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:29:10.528Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:29:10.528Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:29:10.528Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20826.529 ms) ====== [2026-02-28T23:29:10.528Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-28T23:29:10.528Z] GC before operation: completed in 166.070 ms, heap usage 225.086 MB -> 90.028 MB. [2026-02-28T23:29:15.433Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:29:17.413Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:29:20.465Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:29:23.525Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:29:25.503Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:29:27.480Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:29:29.457Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:29:31.435Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:29:32.397Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-28T23:29:32.397Z] The best model improves the baseline by 14.52%. [2026-02-28T23:29:32.397Z] Top recommended movies for user id 72: [2026-02-28T23:29:32.397Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:29:32.397Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:29:32.397Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:29:32.397Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:29:32.397Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:29:32.397Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (21662.886 ms) ====== [2026-02-28T23:29:32.397Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-28T23:29:32.397Z] GC before operation: completed in 172.491 ms, heap usage 374.754 MB -> 90.497 MB. [2026-02-28T23:29:35.452Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:29:39.652Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:29:42.696Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:29:45.741Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:29:47.718Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:29:49.692Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:29:51.667Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:29:53.644Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:29:53.644Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-28T23:29:53.644Z] The best model improves the baseline by 14.52%. [2026-02-28T23:29:54.606Z] Top recommended movies for user id 72: [2026-02-28T23:29:54.606Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:29:54.606Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:29:54.606Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:29:54.606Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:29:54.606Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:29:54.606Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (21768.468 ms) ====== [2026-02-28T23:29:54.606Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-28T23:29:54.606Z] GC before operation: completed in 169.005 ms, heap usage 121.915 MB -> 90.674 MB. [2026-02-28T23:29:57.658Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:30:00.708Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:30:04.897Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:30:06.946Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:30:08.923Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:30:10.898Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:30:12.872Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:30:14.847Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:30:14.847Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-28T23:30:15.806Z] The best model improves the baseline by 14.52%. [2026-02-28T23:30:15.806Z] Top recommended movies for user id 72: [2026-02-28T23:30:15.806Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:30:15.806Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:30:15.806Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:30:15.806Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:30:15.806Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:30:15.806Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (21185.641 ms) ====== [2026-02-28T23:30:15.806Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-28T23:30:15.806Z] GC before operation: completed in 167.345 ms, heap usage 149.050 MB -> 90.109 MB. [2026-02-28T23:30:18.858Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:30:23.053Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:30:25.459Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:30:28.515Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:30:31.572Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:30:33.552Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:30:35.523Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:30:37.499Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:30:37.499Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-28T23:30:37.499Z] The best model improves the baseline by 14.52%. [2026-02-28T23:30:37.499Z] Top recommended movies for user id 72: [2026-02-28T23:30:37.499Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:30:37.499Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:30:37.499Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:30:37.499Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:30:37.499Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:30:37.499Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (21887.347 ms) ====== [2026-02-28T23:30:37.499Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-28T23:30:37.499Z] GC before operation: completed in 172.108 ms, heap usage 398.898 MB -> 90.311 MB. [2026-02-28T23:30:41.694Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:30:44.741Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:30:47.790Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:30:50.839Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:30:52.815Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:30:54.790Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:30:56.769Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:30:58.745Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:30:58.745Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-28T23:30:58.745Z] The best model improves the baseline by 14.52%. [2026-02-28T23:30:59.707Z] Top recommended movies for user id 72: [2026-02-28T23:30:59.707Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:30:59.707Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:30:59.707Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:30:59.707Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:30:59.707Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:30:59.707Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (21637.976 ms) ====== [2026-02-28T23:30:59.707Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-28T23:30:59.707Z] GC before operation: completed in 167.515 ms, heap usage 360.364 MB -> 90.422 MB. [2026-02-28T23:31:02.755Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:31:05.942Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:31:08.993Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:31:12.036Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:31:14.010Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:31:15.986Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:31:17.963Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:31:19.937Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:31:20.900Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-28T23:31:20.900Z] The best model improves the baseline by 14.52%. [2026-02-28T23:31:20.900Z] Top recommended movies for user id 72: [2026-02-28T23:31:20.900Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:31:20.900Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:31:20.900Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:31:20.900Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:31:20.900Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:31:20.900Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (21120.588 ms) ====== [2026-02-28T23:31:21.864Z] ----------------------------------- [2026-02-28T23:31:21.864Z] renaissance-movie-lens_0_PASSED [2026-02-28T23:31:21.864Z] ----------------------------------- [2026-02-28T23:31:21.864Z] [2026-02-28T23:31:21.864Z] TEST TEARDOWN: [2026-02-28T23:31:21.864Z] Nothing to be done for teardown. [2026-02-28T23:31:21.864Z] renaissance-movie-lens_0 Finish Time: Sat Feb 28 23:31:21 2026 Epoch Time (ms): 1772321481395