[2026-01-10T15:01:08.660Z] Running test renaissance-movie-lens_0 ... [2026-01-10T15:01:08.660Z] =============================================== [2026-01-10T15:01:08.660Z] renaissance-movie-lens_0 Start Time: Sat Jan 10 15:01:08 2026 Epoch Time (ms): 1768057268047 [2026-01-10T15:01:08.660Z] variation: NoOptions [2026-01-10T15:01:08.660Z] JVM_OPTIONS: [2026-01-10T15:01:08.660Z] { \ [2026-01-10T15:01:08.660Z] echo ""; echo "TEST SETUP:"; \ [2026-01-10T15:01:08.660Z] echo "Nothing to be done for setup."; \ [2026-01-10T15:01:08.660Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17680558265562/renaissance-movie-lens_0"; \ [2026-01-10T15:01:08.660Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17680558265562/renaissance-movie-lens_0"; \ [2026-01-10T15:01:08.660Z] echo ""; echo "TESTING:"; \ [2026-01-10T15:01:08.660Z] "/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_17680558265562/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-10T15:01:08.660Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17680558265562/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-10T15:01:08.660Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-10T15:01:08.660Z] echo "Nothing to be done for teardown."; \ [2026-01-10T15:01:08.660Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17680558265562/TestTargetResult"; [2026-01-10T15:01:08.660Z] [2026-01-10T15:01:08.660Z] TEST SETUP: [2026-01-10T15:01:08.660Z] Nothing to be done for setup. [2026-01-10T15:01:08.660Z] [2026-01-10T15:01:08.660Z] TESTING: [2026-01-10T15:01:09.617Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-10T15:01:09.617Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/output_17680558265562/renaissance-movie-lens_0/launcher-150108-6732853226581260746/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-10T15:01:09.617Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-10T15:01:09.617Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-10T15:01:13.795Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-10T15:01:20.538Z] 15:01:20.257 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. [2026-01-10T15:01:23.231Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-10T15:01:23.231Z] Training: 60056, validation: 20285, test: 19854 [2026-01-10T15:01:23.231Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-10T15:01:23.232Z] GC before operation: completed in 160.347 ms, heap usage 305.000 MB -> 75.646 MB. [2026-01-10T15:01:29.959Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T15:01:32.996Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T15:01:36.032Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T15:01:39.069Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T15:01:41.035Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T15:01:43.002Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T15:01:44.978Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T15:01:46.963Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T15:01:46.963Z] 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. [2026-01-10T15:01:46.963Z] The best model improves the baseline by 14.52%. [2026-01-10T15:01:46.963Z] Top recommended movies for user id 72: [2026-01-10T15:01:46.963Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T15:01:46.963Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T15:01:46.963Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T15:01:46.963Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T15:01:46.963Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T15:01:46.963Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (23525.054 ms) ====== [2026-01-10T15:01:46.963Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-10T15:01:46.963Z] GC before operation: completed in 142.139 ms, heap usage 100.030 MB -> 86.117 MB. [2026-01-10T15:01:49.996Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T15:01:51.965Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T15:01:55.009Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T15:01:58.070Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T15:01:59.028Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T15:02:01.007Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T15:02:02.984Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T15:02:04.953Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T15:02:04.953Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T15:02:04.953Z] The best model improves the baseline by 14.52%. [2026-01-10T15:02:04.953Z] Top recommended movies for user id 72: [2026-01-10T15:02:04.953Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T15:02:04.953Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T15:02:04.953Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T15:02:04.953Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T15:02:04.953Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T15:02:04.953Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17794.715 ms) ====== [2026-01-10T15:02:04.953Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-10T15:02:04.953Z] GC before operation: completed in 134.223 ms, heap usage 294.328 MB -> 88.598 MB. [2026-01-10T15:02:07.988Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T15:02:10.132Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T15:02:13.165Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T15:02:15.129Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T15:02:17.093Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T15:02:19.063Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T15:02:20.028Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T15:02:22.000Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T15:02:22.000Z] 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. [2026-01-10T15:02:22.000Z] The best model improves the baseline by 14.52%. [2026-01-10T15:02:22.000Z] Top recommended movies for user id 72: [2026-01-10T15:02:22.000Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T15:02:22.000Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T15:02:22.000Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T15:02:22.000Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T15:02:22.000Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T15:02:22.000Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17081.280 ms) ====== [2026-01-10T15:02:22.000Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-10T15:02:22.000Z] GC before operation: completed in 166.809 ms, heap usage 424.309 MB -> 89.342 MB. [2026-01-10T15:02:24.692Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T15:02:27.728Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T15:02:29.696Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T15:02:31.667Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T15:02:33.636Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T15:02:35.615Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T15:02:36.573Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T15:02:38.542Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T15:02:38.542Z] 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. [2026-01-10T15:02:38.542Z] The best model improves the baseline by 14.52%. [2026-01-10T15:02:38.542Z] Top recommended movies for user id 72: [2026-01-10T15:02:38.542Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T15:02:38.542Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T15:02:38.542Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T15:02:38.542Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T15:02:38.542Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T15:02:38.542Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16451.391 ms) ====== [2026-01-10T15:02:38.542Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-10T15:02:38.542Z] GC before operation: completed in 157.980 ms, heap usage 515.066 MB -> 89.774 MB. [2026-01-10T15:02:41.578Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T15:02:43.545Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T15:02:46.578Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T15:02:48.543Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T15:02:49.501Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T15:02:51.468Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T15:02:52.425Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T15:02:54.389Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T15:02:54.389Z] 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. [2026-01-10T15:02:54.389Z] The best model improves the baseline by 14.52%. [2026-01-10T15:02:54.389Z] Top recommended movies for user id 72: [2026-01-10T15:02:54.389Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T15:02:54.389Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T15:02:54.389Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T15:02:54.389Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T15:02:54.389Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T15:02:54.389Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15573.049 ms) ====== [2026-01-10T15:02:54.389Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-10T15:02:54.389Z] GC before operation: completed in 179.351 ms, heap usage 510.628 MB -> 89.683 MB. [2026-01-10T15:02:57.424Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T15:02:59.390Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T15:03:01.491Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T15:03:03.458Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T15:03:05.422Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T15:03:06.380Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T15:03:08.344Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T15:03:09.302Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T15:03:09.302Z] 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. [2026-01-10T15:03:09.302Z] The best model improves the baseline by 14.52%. [2026-01-10T15:03:10.260Z] Top recommended movies for user id 72: [2026-01-10T15:03:10.260Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T15:03:10.260Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T15:03:10.260Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T15:03:10.260Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T15:03:10.260Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T15:03:10.260Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15031.966 ms) ====== [2026-01-10T15:03:10.260Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-10T15:03:10.260Z] GC before operation: completed in 140.706 ms, heap usage 128.705 MB -> 89.615 MB. [2026-01-10T15:03:12.228Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T15:03:14.195Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T15:03:17.239Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T15:03:19.207Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T15:03:21.193Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T15:03:22.867Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T15:03:23.826Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T15:03:25.842Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T15:03:25.842Z] 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. [2026-01-10T15:03:25.842Z] The best model improves the baseline by 14.52%. [2026-01-10T15:03:25.842Z] Top recommended movies for user id 72: [2026-01-10T15:03:25.842Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T15:03:25.842Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T15:03:25.842Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T15:03:25.842Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T15:03:25.842Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T15:03:25.842Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15957.443 ms) ====== [2026-01-10T15:03:25.842Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-10T15:03:25.842Z] GC before operation: completed in 136.528 ms, heap usage 370.590 MB -> 89.922 MB. [2026-01-10T15:03:27.810Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T15:03:30.843Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T15:03:32.809Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T15:03:35.841Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T15:03:36.799Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T15:03:37.757Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T15:03:39.723Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T15:03:40.680Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T15:03:40.680Z] 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. [2026-01-10T15:03:40.680Z] The best model improves the baseline by 14.52%. [2026-01-10T15:03:41.638Z] Top recommended movies for user id 72: [2026-01-10T15:03:41.638Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T15:03:41.638Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T15:03:41.638Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T15:03:41.638Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T15:03:41.639Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T15:03:41.639Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15185.941 ms) ====== [2026-01-10T15:03:41.639Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-10T15:03:41.639Z] GC before operation: completed in 144.200 ms, heap usage 542.755 MB -> 93.577 MB. [2026-01-10T15:03:43.603Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T15:03:45.569Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T15:03:48.609Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T15:03:50.575Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T15:03:52.542Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T15:03:53.500Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T15:03:55.471Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T15:03:56.429Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T15:03:57.387Z] 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. [2026-01-10T15:03:57.387Z] The best model improves the baseline by 14.52%. [2026-01-10T15:03:57.387Z] Top recommended movies for user id 72: [2026-01-10T15:03:57.387Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T15:03:57.387Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T15:03:57.387Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T15:03:57.387Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T15:03:57.387Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T15:03:57.387Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15834.501 ms) ====== [2026-01-10T15:03:57.387Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-10T15:03:57.387Z] GC before operation: completed in 133.869 ms, heap usage 138.937 MB -> 89.565 MB. [2026-01-10T15:03:59.354Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T15:04:02.567Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T15:04:04.543Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T15:04:06.517Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T15:04:08.486Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T15:04:09.444Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T15:04:11.464Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T15:04:12.422Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T15:04:12.422Z] 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. [2026-01-10T15:04:12.422Z] The best model improves the baseline by 14.52%. [2026-01-10T15:04:13.380Z] Top recommended movies for user id 72: [2026-01-10T15:04:13.380Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T15:04:13.380Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T15:04:13.380Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T15:04:13.380Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T15:04:13.380Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T15:04:13.380Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15689.184 ms) ====== [2026-01-10T15:04:13.380Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-10T15:04:13.380Z] GC before operation: completed in 140.164 ms, heap usage 376.458 MB -> 90.165 MB. [2026-01-10T15:04:15.347Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T15:04:17.317Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T15:04:20.351Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T15:04:23.201Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T15:04:23.202Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T15:04:24.159Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T15:04:26.124Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T15:04:27.083Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T15:04:27.083Z] 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. [2026-01-10T15:04:27.083Z] The best model improves the baseline by 14.52%. [2026-01-10T15:04:28.041Z] Top recommended movies for user id 72: [2026-01-10T15:04:28.041Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T15:04:28.041Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T15:04:28.041Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T15:04:28.041Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T15:04:28.041Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T15:04:28.041Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14518.564 ms) ====== [2026-01-10T15:04:28.041Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-10T15:04:28.041Z] GC before operation: completed in 140.388 ms, heap usage 836.071 MB -> 94.001 MB. [2026-01-10T15:04:30.006Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T15:04:31.974Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T15:04:33.938Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T15:04:35.904Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T15:04:37.870Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T15:04:38.828Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T15:04:40.811Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T15:04:41.770Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T15:04:41.770Z] 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. [2026-01-10T15:04:41.770Z] The best model improves the baseline by 14.52%. [2026-01-10T15:04:42.730Z] Top recommended movies for user id 72: [2026-01-10T15:04:42.730Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T15:04:42.730Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T15:04:42.730Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T15:04:42.730Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T15:04:42.730Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T15:04:42.730Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14429.163 ms) ====== [2026-01-10T15:04:42.730Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-10T15:04:42.730Z] GC before operation: completed in 144.597 ms, heap usage 218.849 MB -> 89.906 MB. [2026-01-10T15:04:44.695Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T15:04:46.659Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T15:04:48.627Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T15:04:50.593Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T15:04:52.556Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T15:04:53.516Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T15:04:55.485Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T15:04:56.442Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T15:04:56.442Z] 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. [2026-01-10T15:04:56.442Z] The best model improves the baseline by 14.52%. [2026-01-10T15:04:56.442Z] Top recommended movies for user id 72: [2026-01-10T15:04:56.442Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T15:04:56.442Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T15:04:56.442Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T15:04:56.442Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T15:04:56.442Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T15:04:56.442Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14359.369 ms) ====== [2026-01-10T15:04:56.442Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-10T15:04:56.442Z] GC before operation: completed in 135.811 ms, heap usage 544.817 MB -> 93.740 MB. [2026-01-10T15:04:59.476Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T15:05:01.493Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T15:05:03.460Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T15:05:05.432Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T15:05:07.399Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T15:05:08.357Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T15:05:09.321Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T15:05:11.286Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T15:05:11.286Z] 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. [2026-01-10T15:05:11.286Z] The best model improves the baseline by 14.52%. [2026-01-10T15:05:11.286Z] Top recommended movies for user id 72: [2026-01-10T15:05:11.286Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T15:05:11.286Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T15:05:11.286Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T15:05:11.286Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T15:05:11.286Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T15:05:11.286Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14470.715 ms) ====== [2026-01-10T15:05:11.286Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-10T15:05:11.286Z] GC before operation: completed in 142.568 ms, heap usage 375.065 MB -> 90.137 MB. [2026-01-10T15:05:13.250Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T15:05:16.283Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T15:05:18.247Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T15:05:20.215Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T15:05:21.810Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T15:05:22.767Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T15:05:23.724Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T15:05:25.688Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T15:05:25.688Z] 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. [2026-01-10T15:05:25.688Z] The best model improves the baseline by 14.52%. [2026-01-10T15:05:25.688Z] Top recommended movies for user id 72: [2026-01-10T15:05:25.688Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T15:05:25.688Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T15:05:25.688Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T15:05:25.688Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T15:05:25.688Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T15:05:25.688Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14213.459 ms) ====== [2026-01-10T15:05:25.688Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-10T15:05:25.688Z] GC before operation: completed in 158.220 ms, heap usage 490.836 MB -> 90.483 MB. [2026-01-10T15:05:28.718Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T15:05:30.681Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T15:05:32.642Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T15:05:35.672Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T15:05:36.627Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T15:05:38.593Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T15:05:39.549Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T15:05:41.516Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T15:05:41.517Z] 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. [2026-01-10T15:05:41.517Z] The best model improves the baseline by 14.52%. [2026-01-10T15:05:41.517Z] Top recommended movies for user id 72: [2026-01-10T15:05:41.517Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T15:05:41.517Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T15:05:41.517Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T15:05:41.517Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T15:05:41.517Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T15:05:41.517Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15744.729 ms) ====== [2026-01-10T15:05:41.517Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-10T15:05:41.517Z] GC before operation: completed in 137.145 ms, heap usage 349.758 MB -> 90.141 MB. [2026-01-10T15:05:44.549Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T15:05:46.510Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T15:05:48.473Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T15:05:51.509Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T15:05:52.470Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T15:05:53.427Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T15:05:55.389Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T15:05:56.344Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T15:05:57.299Z] 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. [2026-01-10T15:05:57.299Z] The best model improves the baseline by 14.52%. [2026-01-10T15:05:57.299Z] Top recommended movies for user id 72: [2026-01-10T15:05:57.299Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T15:05:57.299Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T15:05:57.299Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T15:05:57.299Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T15:05:57.299Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T15:05:57.299Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15375.958 ms) ====== [2026-01-10T15:05:57.299Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-10T15:05:57.299Z] GC before operation: completed in 135.513 ms, heap usage 386.772 MB -> 90.275 MB. [2026-01-10T15:05:59.266Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T15:06:02.295Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T15:06:04.260Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T15:06:06.224Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T15:06:08.187Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T15:06:09.144Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T15:06:11.109Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T15:06:12.070Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T15:06:12.070Z] 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. [2026-01-10T15:06:12.070Z] The best model improves the baseline by 14.52%. [2026-01-10T15:06:12.070Z] Top recommended movies for user id 72: [2026-01-10T15:06:12.070Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T15:06:12.070Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T15:06:12.070Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T15:06:12.070Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T15:06:12.070Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T15:06:12.070Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15054.489 ms) ====== [2026-01-10T15:06:12.070Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-10T15:06:12.070Z] GC before operation: completed in 163.447 ms, heap usage 255.984 MB -> 89.997 MB. [2026-01-10T15:06:15.103Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T15:06:17.068Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T15:06:19.034Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T15:06:20.886Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T15:06:22.850Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T15:06:23.807Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T15:06:25.774Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T15:06:26.731Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T15:06:26.731Z] 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. [2026-01-10T15:06:26.731Z] The best model improves the baseline by 14.52%. [2026-01-10T15:06:27.687Z] Top recommended movies for user id 72: [2026-01-10T15:06:27.687Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T15:06:27.687Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T15:06:27.687Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T15:06:27.687Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T15:06:27.687Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T15:06:27.687Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14806.517 ms) ====== [2026-01-10T15:06:27.687Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-10T15:06:27.687Z] GC before operation: completed in 166.805 ms, heap usage 446.368 MB -> 90.232 MB. [2026-01-10T15:06:29.651Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T15:06:31.615Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T15:06:34.658Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T15:06:36.621Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T15:06:37.578Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T15:06:39.544Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T15:06:40.501Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T15:06:42.467Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T15:06:42.467Z] 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. [2026-01-10T15:06:42.467Z] The best model improves the baseline by 14.52%. [2026-01-10T15:06:42.467Z] Top recommended movies for user id 72: [2026-01-10T15:06:42.467Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T15:06:42.467Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T15:06:42.467Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T15:06:42.467Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T15:06:42.467Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T15:06:42.467Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15375.363 ms) ====== [2026-01-10T15:06:43.425Z] ----------------------------------- [2026-01-10T15:06:43.425Z] renaissance-movie-lens_0_PASSED [2026-01-10T15:06:43.425Z] ----------------------------------- [2026-01-10T15:06:43.425Z] [2026-01-10T15:06:43.425Z] TEST TEARDOWN: [2026-01-10T15:06:43.425Z] Nothing to be done for teardown. [2026-01-10T15:06:43.425Z] renaissance-movie-lens_0 Finish Time: Sat Jan 10 15:06:42 2026 Epoch Time (ms): 1768057602800