[2026-02-26T23:02:33.985Z] Running test renaissance-movie-lens_0 ... [2026-02-26T23:02:33.985Z] =============================================== [2026-02-26T23:02:33.985Z] renaissance-movie-lens_0 Start Time: Thu Feb 26 23:02:33 2026 Epoch Time (ms): 1772146953658 [2026-02-26T23:02:33.985Z] variation: NoOptions [2026-02-26T23:02:33.985Z] JVM_OPTIONS: [2026-02-26T23:02:33.985Z] { \ [2026-02-26T23:02:33.985Z] echo ""; echo "TEST SETUP:"; \ [2026-02-26T23:02:33.985Z] echo "Nothing to be done for setup."; \ [2026-02-26T23:02:33.985Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17721461256330/renaissance-movie-lens_0"; \ [2026-02-26T23:02:33.985Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17721461256330/renaissance-movie-lens_0"; \ [2026-02-26T23:02:33.985Z] echo ""; echo "TESTING:"; \ [2026-02-26T23:02:33.985Z] "/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_17721461256330/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-26T23:02:33.985Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17721461256330/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-26T23:02:33.985Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-26T23:02:33.985Z] echo "Nothing to be done for teardown."; \ [2026-02-26T23:02:33.985Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17721461256330/TestTargetResult"; [2026-02-26T23:02:33.985Z] [2026-02-26T23:02:33.985Z] TEST SETUP: [2026-02-26T23:02:33.985Z] Nothing to be done for setup. [2026-02-26T23:02:33.985Z] [2026-02-26T23:02:33.985Z] TESTING: [2026-02-26T23:02:34.933Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-26T23:02:34.933Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/output_17721461256330/renaissance-movie-lens_0/launcher-230233-9849262870298388445/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-26T23:02:34.933Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-26T23:02:34.933Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-26T23:02:39.060Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-26T23:02:45.725Z] 23:02:45.319 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. [2026-02-26T23:02:47.671Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-26T23:02:48.619Z] Training: 60056, validation: 20285, test: 19854 [2026-02-26T23:02:48.619Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-26T23:02:48.619Z] GC before operation: completed in 131.365 ms, heap usage 235.710 MB -> 75.504 MB. [2026-02-26T23:02:53.971Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T23:02:56.978Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T23:02:59.974Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T23:03:02.982Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T23:03:03.928Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T23:03:05.910Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T23:03:07.857Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T23:03:08.802Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T23:03:09.748Z] 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. [2026-02-26T23:03:09.748Z] The best model improves the baseline by 14.52%. [2026-02-26T23:03:09.748Z] Top recommended movies for user id 72: [2026-02-26T23:03:09.748Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T23:03:09.748Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T23:03:09.748Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T23:03:09.748Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T23:03:09.748Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T23:03:09.748Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (21251.835 ms) ====== [2026-02-26T23:03:09.748Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-26T23:03:09.748Z] GC before operation: completed in 140.942 ms, heap usage 127.919 MB -> 92.785 MB. [2026-02-26T23:03:12.792Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T23:03:14.736Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T23:03:17.740Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T23:03:19.691Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T23:03:21.642Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T23:03:22.588Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T23:03:24.539Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T23:03:25.484Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T23:03:26.430Z] 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. [2026-02-26T23:03:26.430Z] The best model improves the baseline by 14.52%. [2026-02-26T23:03:26.430Z] Top recommended movies for user id 72: [2026-02-26T23:03:26.430Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T23:03:26.430Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T23:03:26.430Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T23:03:26.430Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T23:03:26.430Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T23:03:26.430Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16306.999 ms) ====== [2026-02-26T23:03:26.430Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-26T23:03:26.430Z] GC before operation: completed in 123.518 ms, heap usage 555.490 MB -> 91.996 MB. [2026-02-26T23:03:30.270Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T23:03:31.346Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T23:03:33.294Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T23:03:36.296Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T23:03:37.244Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T23:03:39.187Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T23:03:40.135Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T23:03:42.078Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T23:03:42.078Z] 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. [2026-02-26T23:03:42.078Z] The best model improves the baseline by 14.52%. [2026-02-26T23:03:42.078Z] Top recommended movies for user id 72: [2026-02-26T23:03:42.078Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T23:03:42.078Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T23:03:42.078Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T23:03:42.078Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T23:03:42.078Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T23:03:42.078Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16054.734 ms) ====== [2026-02-26T23:03:42.078Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-26T23:03:42.078Z] GC before operation: completed in 112.901 ms, heap usage 382.227 MB -> 89.215 MB. [2026-02-26T23:03:45.147Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T23:03:47.108Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T23:03:50.285Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T23:03:52.233Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T23:03:54.176Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T23:03:55.125Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T23:03:57.070Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T23:03:58.030Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T23:03:58.992Z] 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. [2026-02-26T23:03:58.992Z] The best model improves the baseline by 14.52%. [2026-02-26T23:03:58.992Z] Top recommended movies for user id 72: [2026-02-26T23:03:58.992Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T23:03:58.992Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T23:03:58.992Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T23:03:58.992Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T23:03:58.992Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T23:03:58.992Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16341.938 ms) ====== [2026-02-26T23:03:58.992Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-26T23:03:58.992Z] GC before operation: completed in 127.316 ms, heap usage 408.319 MB -> 89.571 MB. [2026-02-26T23:04:00.933Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T23:04:03.943Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T23:04:05.896Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T23:04:07.846Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T23:04:09.789Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T23:04:10.736Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T23:04:12.678Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T23:04:13.625Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T23:04:14.572Z] 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. [2026-02-26T23:04:14.572Z] The best model improves the baseline by 14.52%. [2026-02-26T23:04:14.572Z] Top recommended movies for user id 72: [2026-02-26T23:04:14.572Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T23:04:14.572Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T23:04:14.572Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T23:04:14.572Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T23:04:14.572Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T23:04:14.572Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15421.607 ms) ====== [2026-02-26T23:04:14.572Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-26T23:04:14.572Z] GC before operation: completed in 111.267 ms, heap usage 118.338 MB -> 89.116 MB. [2026-02-26T23:04:17.909Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T23:04:18.857Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T23:04:20.805Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T23:04:22.753Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T23:04:23.704Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T23:04:25.653Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T23:04:26.607Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T23:04:27.557Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T23:04:28.504Z] 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. [2026-02-26T23:04:28.504Z] The best model improves the baseline by 14.52%. [2026-02-26T23:04:28.504Z] Top recommended movies for user id 72: [2026-02-26T23:04:28.504Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T23:04:28.504Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T23:04:28.504Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T23:04:28.504Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T23:04:28.504Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T23:04:28.504Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (13947.575 ms) ====== [2026-02-26T23:04:28.504Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-26T23:04:28.504Z] GC before operation: completed in 134.854 ms, heap usage 102.852 MB -> 89.381 MB. [2026-02-26T23:04:30.450Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T23:04:33.453Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T23:04:35.396Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T23:04:37.338Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T23:04:39.284Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T23:04:40.231Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T23:04:42.181Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T23:04:43.132Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T23:04:43.132Z] 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. [2026-02-26T23:04:44.079Z] The best model improves the baseline by 14.52%. [2026-02-26T23:04:44.079Z] Top recommended movies for user id 72: [2026-02-26T23:04:44.079Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T23:04:44.080Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T23:04:44.080Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T23:04:44.080Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T23:04:44.080Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T23:04:44.080Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15262.641 ms) ====== [2026-02-26T23:04:44.080Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-26T23:04:44.080Z] GC before operation: completed in 120.079 ms, heap usage 371.674 MB -> 89.790 MB. [2026-02-26T23:04:46.049Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T23:04:49.058Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T23:04:51.004Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T23:04:52.956Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T23:04:53.902Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T23:04:55.844Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T23:04:56.791Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T23:04:58.733Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T23:04:58.733Z] 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. [2026-02-26T23:04:58.733Z] The best model improves the baseline by 14.52%. [2026-02-26T23:04:58.733Z] Top recommended movies for user id 72: [2026-02-26T23:04:58.733Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T23:04:58.733Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T23:04:58.733Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T23:04:58.733Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T23:04:58.733Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T23:04:58.733Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14985.111 ms) ====== [2026-02-26T23:04:58.733Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-26T23:04:58.733Z] GC before operation: completed in 123.990 ms, heap usage 292.504 MB -> 89.926 MB. [2026-02-26T23:05:00.679Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T23:05:03.691Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T23:05:05.634Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T23:05:07.580Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T23:05:09.523Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T23:05:10.469Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T23:05:12.411Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T23:05:13.358Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T23:05:13.358Z] 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. [2026-02-26T23:05:13.358Z] The best model improves the baseline by 14.52%. [2026-02-26T23:05:13.358Z] Top recommended movies for user id 72: [2026-02-26T23:05:13.358Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T23:05:13.359Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T23:05:13.359Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T23:05:13.359Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T23:05:13.359Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T23:05:13.359Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14758.877 ms) ====== [2026-02-26T23:05:13.359Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-26T23:05:14.303Z] GC before operation: completed in 137.738 ms, heap usage 492.196 MB -> 89.941 MB. [2026-02-26T23:05:16.248Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T23:05:18.193Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T23:05:21.860Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T23:05:22.805Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T23:05:23.752Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T23:05:25.695Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T23:05:26.645Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T23:05:28.606Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T23:05:28.606Z] 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. [2026-02-26T23:05:28.606Z] The best model improves the baseline by 14.52%. [2026-02-26T23:05:28.606Z] Top recommended movies for user id 72: [2026-02-26T23:05:28.606Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T23:05:28.606Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T23:05:28.606Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T23:05:28.606Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T23:05:28.606Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T23:05:28.606Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14730.688 ms) ====== [2026-02-26T23:05:28.606Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-26T23:05:28.606Z] GC before operation: completed in 112.937 ms, heap usage 108.865 MB -> 89.661 MB. [2026-02-26T23:05:30.549Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T23:05:32.492Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T23:05:34.444Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T23:05:36.385Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T23:05:38.342Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T23:05:39.289Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T23:05:40.236Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T23:05:42.180Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T23:05:42.180Z] 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. [2026-02-26T23:05:42.180Z] The best model improves the baseline by 14.52%. [2026-02-26T23:05:42.180Z] Top recommended movies for user id 72: [2026-02-26T23:05:42.180Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T23:05:42.180Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T23:05:42.180Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T23:05:42.180Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T23:05:42.180Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T23:05:42.180Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (13465.398 ms) ====== [2026-02-26T23:05:42.180Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-26T23:05:42.180Z] GC before operation: completed in 111.865 ms, heap usage 250.560 MB -> 89.489 MB. [2026-02-26T23:05:44.123Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T23:05:46.068Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T23:05:49.092Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T23:05:50.039Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T23:05:53.020Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T23:05:53.020Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T23:05:54.993Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T23:05:57.432Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T23:05:57.432Z] 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. [2026-02-26T23:05:57.432Z] The best model improves the baseline by 14.52%. [2026-02-26T23:05:57.432Z] Top recommended movies for user id 72: [2026-02-26T23:05:57.432Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T23:05:57.432Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T23:05:57.432Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T23:05:57.432Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T23:05:57.432Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T23:05:57.432Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (13677.752 ms) ====== [2026-02-26T23:05:57.432Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-26T23:05:57.432Z] GC before operation: completed in 114.428 ms, heap usage 291.672 MB -> 89.978 MB. [2026-02-26T23:06:00.845Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T23:06:00.845Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T23:06:03.184Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T23:06:06.270Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T23:06:06.270Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T23:06:10.375Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T23:06:10.375Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T23:06:12.715Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T23:06:12.715Z] 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. [2026-02-26T23:06:12.715Z] The best model improves the baseline by 14.52%. [2026-02-26T23:06:12.715Z] Top recommended movies for user id 72: [2026-02-26T23:06:12.715Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T23:06:12.715Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T23:06:12.715Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T23:06:12.715Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T23:06:12.715Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T23:06:12.715Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14895.415 ms) ====== [2026-02-26T23:06:12.715Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-26T23:06:12.715Z] GC before operation: completed in 135.513 ms, heap usage 170.977 MB -> 89.754 MB. [2026-02-26T23:06:15.930Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T23:06:15.930Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T23:06:18.275Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T23:06:21.355Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T23:06:24.375Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T23:06:24.375Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T23:06:26.285Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T23:06:26.285Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T23:06:26.285Z] 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. [2026-02-26T23:06:26.285Z] The best model improves the baseline by 14.52%. [2026-02-26T23:06:28.190Z] Top recommended movies for user id 72: [2026-02-26T23:06:28.190Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T23:06:28.190Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T23:06:28.190Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T23:06:28.190Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T23:06:28.190Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T23:06:28.190Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14879.388 ms) ====== [2026-02-26T23:06:28.190Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-26T23:06:28.190Z] GC before operation: completed in 117.136 ms, heap usage 159.732 MB -> 89.674 MB. [2026-02-26T23:06:28.190Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T23:06:30.985Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T23:06:32.867Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T23:06:38.469Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T23:06:38.469Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T23:06:38.469Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T23:06:40.093Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T23:06:40.093Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T23:06:43.710Z] 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. [2026-02-26T23:06:43.710Z] The best model improves the baseline by 14.52%. [2026-02-26T23:06:43.710Z] Top recommended movies for user id 72: [2026-02-26T23:06:43.710Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T23:06:43.710Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T23:06:43.710Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T23:06:43.710Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T23:06:43.710Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T23:06:43.710Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14593.866 ms) ====== [2026-02-26T23:06:43.710Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-26T23:06:43.710Z] GC before operation: completed in 118.741 ms, heap usage 391.607 MB -> 90.146 MB. [2026-02-26T23:06:43.710Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T23:06:46.799Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T23:06:55.776Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T23:06:55.777Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T23:06:55.777Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T23:06:55.777Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T23:06:55.777Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T23:06:55.777Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T23:06:56.846Z] 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. [2026-02-26T23:06:56.846Z] The best model improves the baseline by 14.52%. [2026-02-26T23:06:56.846Z] Top recommended movies for user id 72: [2026-02-26T23:06:56.846Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T23:06:56.846Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T23:06:56.846Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T23:06:56.846Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T23:06:56.846Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T23:06:56.846Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14907.863 ms) ====== [2026-02-26T23:06:56.846Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-26T23:06:56.846Z] GC before operation: completed in 144.163 ms, heap usage 370.912 MB -> 89.973 MB. [2026-02-26T23:06:57.793Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T23:06:59.735Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T23:07:01.688Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T23:07:03.659Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T23:07:05.605Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T23:07:06.550Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T23:07:07.497Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T23:07:08.445Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T23:07:09.391Z] 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. [2026-02-26T23:07:09.391Z] The best model improves the baseline by 14.52%. [2026-02-26T23:07:09.391Z] Top recommended movies for user id 72: [2026-02-26T23:07:09.391Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T23:07:09.391Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T23:07:09.391Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T23:07:09.391Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T23:07:09.391Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T23:07:09.391Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (13316.140 ms) ====== [2026-02-26T23:07:09.391Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-26T23:07:09.391Z] GC before operation: completed in 188.045 ms, heap usage 511.172 MB -> 90.230 MB. [2026-02-26T23:07:11.336Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T23:07:13.293Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T23:07:15.238Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T23:07:17.196Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T23:07:19.139Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T23:07:20.088Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T23:07:21.033Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T23:07:21.980Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T23:07:22.927Z] 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. [2026-02-26T23:07:22.927Z] The best model improves the baseline by 14.52%. [2026-02-26T23:07:22.927Z] Top recommended movies for user id 72: [2026-02-26T23:07:22.927Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T23:07:22.927Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T23:07:22.927Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T23:07:22.927Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T23:07:22.927Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T23:07:22.927Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (13398.495 ms) ====== [2026-02-26T23:07:22.927Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-26T23:07:22.927Z] GC before operation: completed in 111.316 ms, heap usage 182.290 MB -> 89.665 MB. [2026-02-26T23:07:24.877Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T23:07:26.823Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T23:07:29.824Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T23:07:31.793Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T23:07:32.743Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T23:07:34.817Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T23:07:35.765Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T23:07:36.713Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T23:07:37.660Z] 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. [2026-02-26T23:07:37.660Z] The best model improves the baseline by 14.52%. [2026-02-26T23:07:37.660Z] Top recommended movies for user id 72: [2026-02-26T23:07:37.660Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T23:07:37.660Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T23:07:37.660Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T23:07:37.660Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T23:07:37.660Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T23:07:37.660Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14522.029 ms) ====== [2026-02-26T23:07:37.660Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-26T23:07:37.660Z] GC before operation: completed in 114.516 ms, heap usage 350.182 MB -> 90.027 MB. [2026-02-26T23:07:39.615Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T23:07:42.710Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T23:07:44.659Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T23:07:46.608Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T23:07:47.583Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T23:07:49.523Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T23:07:50.468Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T23:07:51.415Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T23:07:52.361Z] 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. [2026-02-26T23:07:52.361Z] The best model improves the baseline by 14.52%. [2026-02-26T23:07:52.361Z] Top recommended movies for user id 72: [2026-02-26T23:07:52.361Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T23:07:52.361Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T23:07:52.361Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T23:07:52.361Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T23:07:52.361Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T23:07:52.361Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14483.108 ms) ====== [2026-02-26T23:07:52.361Z] ----------------------------------- [2026-02-26T23:07:52.361Z] renaissance-movie-lens_0_PASSED [2026-02-26T23:07:52.361Z] ----------------------------------- [2026-02-26T23:07:52.361Z] [2026-02-26T23:07:52.361Z] TEST TEARDOWN: [2026-02-26T23:07:52.361Z] Nothing to be done for teardown. [2026-02-26T23:07:52.361Z] renaissance-movie-lens_0 Finish Time: Thu Feb 26 23:07:52 2026 Epoch Time (ms): 1772147272080