[2026-03-04T23:32:49.637Z] Running test renaissance-movie-lens_0 ... [2026-03-04T23:32:49.637Z] =============================================== [2026-03-04T23:32:49.637Z] renaissance-movie-lens_0 Start Time: Wed Mar 4 23:32:46 2026 Epoch Time (ms): 1772667166600 [2026-03-04T23:32:49.637Z] variation: NoOptions [2026-03-04T23:32:49.637Z] JVM_OPTIONS: [2026-03-04T23:32:49.637Z] { \ [2026-03-04T23:32:49.637Z] echo ""; echo "TEST SETUP:"; \ [2026-03-04T23:32:49.637Z] echo "Nothing to be done for setup."; \ [2026-03-04T23:32:49.637Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17726662801636/renaissance-movie-lens_0"; \ [2026-03-04T23:32:49.637Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17726662801636/renaissance-movie-lens_0"; \ [2026-03-04T23:32:49.637Z] echo ""; echo "TESTING:"; \ [2026-03-04T23:32:49.637Z] "/home/jenkins/workspace/Test_openjdk17_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_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17726662801636/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-04T23:32:49.637Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17726662801636/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-04T23:32:49.637Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-04T23:32:49.637Z] echo "Nothing to be done for teardown."; \ [2026-03-04T23:32:49.637Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17726662801636/TestTargetResult"; [2026-03-04T23:32:49.637Z] [2026-03-04T23:32:49.637Z] TEST SETUP: [2026-03-04T23:32:49.637Z] Nothing to be done for setup. [2026-03-04T23:32:49.637Z] [2026-03-04T23:32:49.637Z] TESTING: [2026-03-04T23:32:53.564Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-03-04T23:32:59.840Z] 23:32:58.283 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. [2026-03-04T23:33:02.407Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-04T23:33:02.407Z] Training: 60056, validation: 20285, test: 19854 [2026-03-04T23:33:02.407Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-04T23:33:02.407Z] GC before operation: completed in 148.180 ms, heap usage 294.205 MB -> 75.762 MB. [2026-03-04T23:33:10.574Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:33:12.877Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:33:14.447Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:33:22.014Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:33:22.014Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:33:22.014Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:33:22.968Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:33:23.923Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:33:24.875Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:33:24.875Z] The best model improves the baseline by 14.52%. [2026-03-04T23:33:24.875Z] Top recommended movies for user id 72: [2026-03-04T23:33:24.875Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:33:24.875Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:33:24.875Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:33:24.875Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:33:24.875Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:33:24.875Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (23199.102 ms) ====== [2026-03-04T23:33:24.875Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-04T23:33:24.875Z] GC before operation: completed in 142.400 ms, heap usage 199.962 MB -> 96.303 MB. [2026-03-04T23:33:27.901Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:33:29.861Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:33:32.886Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:33:34.847Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:33:36.812Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:33:37.767Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:33:39.731Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:33:40.686Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:33:41.641Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:33:41.641Z] The best model improves the baseline by 14.52%. [2026-03-04T23:33:41.641Z] Top recommended movies for user id 72: [2026-03-04T23:33:41.641Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:33:41.641Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:33:41.641Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:33:41.641Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:33:41.641Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:33:41.641Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16552.856 ms) ====== [2026-03-04T23:33:41.641Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-04T23:33:41.641Z] GC before operation: completed in 125.296 ms, heap usage 611.795 MB -> 92.250 MB. [2026-03-04T23:33:43.605Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:33:46.637Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:33:48.597Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:33:51.624Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:33:52.580Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:33:53.535Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:33:55.494Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:33:57.462Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:33:57.462Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:33:57.462Z] The best model improves the baseline by 14.52%. [2026-03-04T23:33:57.462Z] Top recommended movies for user id 72: [2026-03-04T23:33:57.462Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:33:57.462Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:33:57.462Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:33:57.462Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:33:57.462Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:33:57.462Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15937.740 ms) ====== [2026-03-04T23:33:57.462Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-04T23:33:57.462Z] GC before operation: completed in 139.663 ms, heap usage 248.532 MB -> 89.286 MB. [2026-03-04T23:34:00.491Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:34:02.451Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:34:04.412Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:34:07.439Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:34:08.394Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:34:10.353Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:34:11.387Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:34:13.349Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:34:13.349Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:34:13.349Z] The best model improves the baseline by 14.52%. [2026-03-04T23:34:13.350Z] Top recommended movies for user id 72: [2026-03-04T23:34:13.350Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:34:13.350Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:34:13.350Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:34:13.350Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:34:13.350Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:34:13.350Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15876.463 ms) ====== [2026-03-04T23:34:13.350Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-04T23:34:13.350Z] GC before operation: completed in 130.644 ms, heap usage 600.363 MB -> 93.284 MB. [2026-03-04T23:34:16.376Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:34:19.253Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:34:21.391Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:34:23.353Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:34:25.344Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:34:26.299Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:34:28.255Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:34:29.208Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:34:29.208Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:34:29.208Z] The best model improves the baseline by 14.52%. [2026-03-04T23:34:30.162Z] Top recommended movies for user id 72: [2026-03-04T23:34:30.162Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:34:30.162Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:34:30.162Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:34:30.162Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:34:30.162Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:34:30.162Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16149.727 ms) ====== [2026-03-04T23:34:30.162Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-04T23:34:30.162Z] GC before operation: completed in 141.974 ms, heap usage 242.317 MB -> 93.639 MB. [2026-03-04T23:34:32.121Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:34:34.080Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:34:37.149Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:34:39.108Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:34:40.064Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:34:42.028Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:34:42.983Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:34:43.939Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:34:44.896Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:34:44.896Z] The best model improves the baseline by 14.52%. [2026-03-04T23:34:44.896Z] Top recommended movies for user id 72: [2026-03-04T23:34:44.896Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:34:44.896Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:34:44.896Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:34:44.896Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:34:44.896Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:34:44.896Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (14817.420 ms) ====== [2026-03-04T23:34:44.896Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-04T23:34:44.896Z] GC before operation: completed in 131.729 ms, heap usage 167.886 MB -> 89.781 MB. [2026-03-04T23:34:46.859Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:34:48.827Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:34:51.856Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:34:53.820Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:34:54.775Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:34:55.743Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:34:57.703Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:34:58.660Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:34:58.660Z] 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. [2026-03-04T23:34:58.660Z] The best model improves the baseline by 14.52%. [2026-03-04T23:34:59.637Z] Top recommended movies for user id 72: [2026-03-04T23:34:59.637Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:34:59.637Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:34:59.637Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:34:59.637Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:34:59.637Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:34:59.637Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14281.156 ms) ====== [2026-03-04T23:34:59.637Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-04T23:34:59.637Z] GC before operation: completed in 122.349 ms, heap usage 119.429 MB -> 89.749 MB. [2026-03-04T23:35:01.602Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:35:03.562Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:35:05.526Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:35:07.486Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:35:09.445Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:35:10.400Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:35:13.111Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:35:13.111Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:35:14.065Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:35:14.065Z] The best model improves the baseline by 14.52%. [2026-03-04T23:35:14.065Z] Top recommended movies for user id 72: [2026-03-04T23:35:14.065Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:35:14.065Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:35:14.065Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:35:14.065Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:35:14.065Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:35:14.065Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (13868.003 ms) ====== [2026-03-04T23:35:14.065Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-04T23:35:14.065Z] GC before operation: completed in 118.938 ms, heap usage 193.132 MB -> 90.071 MB. [2026-03-04T23:35:15.023Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:35:18.049Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:35:21.075Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:35:23.033Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:35:23.987Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:35:25.947Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:35:26.903Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:35:27.858Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:35:28.813Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:35:28.813Z] The best model improves the baseline by 14.52%. [2026-03-04T23:35:28.813Z] Top recommended movies for user id 72: [2026-03-04T23:35:28.813Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:35:28.813Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:35:28.813Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:35:28.813Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:35:28.813Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:35:28.813Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15463.693 ms) ====== [2026-03-04T23:35:28.813Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-04T23:35:28.813Z] GC before operation: completed in 172.037 ms, heap usage 445.509 MB -> 93.784 MB. [2026-03-04T23:35:30.774Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:35:33.804Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:35:35.762Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:35:37.730Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:35:38.689Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:35:40.649Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:35:41.605Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:35:43.604Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:35:43.604Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:35:43.604Z] The best model improves the baseline by 14.52%. [2026-03-04T23:35:43.604Z] Top recommended movies for user id 72: [2026-03-04T23:35:43.604Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:35:43.604Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:35:43.604Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:35:43.604Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:35:43.604Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:35:43.604Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14816.140 ms) ====== [2026-03-04T23:35:43.604Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-04T23:35:43.604Z] GC before operation: completed in 127.625 ms, heap usage 347.678 MB -> 90.313 MB. [2026-03-04T23:35:46.630Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:35:49.654Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:35:52.683Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:35:54.644Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:35:55.599Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:35:56.556Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:35:58.516Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:35:59.471Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:35:59.471Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:35:59.471Z] The best model improves the baseline by 14.52%. [2026-03-04T23:36:00.426Z] Top recommended movies for user id 72: [2026-03-04T23:36:00.426Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:36:00.426Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:36:00.426Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:36:00.426Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:36:00.426Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:36:00.426Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (16213.731 ms) ====== [2026-03-04T23:36:00.426Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-04T23:36:00.426Z] GC before operation: completed in 121.077 ms, heap usage 490.335 MB -> 93.990 MB. [2026-03-04T23:36:02.386Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:36:05.833Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:36:06.789Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:36:08.755Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:36:09.710Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:36:10.664Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:36:12.626Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:36:13.579Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:36:14.532Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:36:14.532Z] The best model improves the baseline by 14.52%. [2026-03-04T23:36:14.532Z] Top recommended movies for user id 72: [2026-03-04T23:36:14.532Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:36:14.532Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:36:14.532Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:36:14.532Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:36:14.532Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:36:14.532Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14070.704 ms) ====== [2026-03-04T23:36:14.532Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-04T23:36:14.532Z] GC before operation: completed in 165.720 ms, heap usage 799.113 MB -> 94.346 MB. [2026-03-04T23:36:17.552Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:36:19.507Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:36:21.463Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:36:24.534Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:36:25.499Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:36:27.460Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:36:28.416Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:36:29.374Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:36:30.331Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:36:30.331Z] The best model improves the baseline by 14.52%. [2026-03-04T23:36:30.331Z] Top recommended movies for user id 72: [2026-03-04T23:36:30.331Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:36:30.331Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:36:30.331Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:36:30.331Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:36:30.331Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:36:30.331Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15833.816 ms) ====== [2026-03-04T23:36:30.331Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-04T23:36:30.331Z] GC before operation: completed in 141.619 ms, heap usage 178.976 MB -> 95.748 MB. [2026-03-04T23:36:32.291Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:36:34.254Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:36:37.280Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:36:39.239Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:36:40.196Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:36:41.153Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:36:43.251Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:36:44.206Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:36:44.206Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:36:44.206Z] The best model improves the baseline by 14.52%. [2026-03-04T23:36:44.206Z] Top recommended movies for user id 72: [2026-03-04T23:36:44.206Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:36:44.206Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:36:44.206Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:36:44.206Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:36:44.206Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:36:44.206Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (13981.050 ms) ====== [2026-03-04T23:36:44.206Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-04T23:36:44.206Z] GC before operation: completed in 137.068 ms, heap usage 130.459 MB -> 90.336 MB. [2026-03-04T23:36:47.231Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:36:49.190Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:36:51.151Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:36:53.111Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:36:55.559Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:36:55.559Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:36:57.519Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:36:58.475Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:36:58.475Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:36:58.475Z] The best model improves the baseline by 14.52%. [2026-03-04T23:36:58.475Z] Top recommended movies for user id 72: [2026-03-04T23:36:58.475Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:36:58.475Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:36:58.475Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:36:58.475Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:36:58.475Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:36:58.475Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14272.009 ms) ====== [2026-03-04T23:36:58.475Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-04T23:36:58.475Z] GC before operation: completed in 136.030 ms, heap usage 239.751 MB -> 90.238 MB. [2026-03-04T23:37:01.505Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:37:03.463Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:37:05.424Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:37:07.384Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:37:08.340Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:37:10.300Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:37:11.256Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:37:13.214Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:37:13.214Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:37:13.214Z] The best model improves the baseline by 14.52%. [2026-03-04T23:37:13.214Z] Top recommended movies for user id 72: [2026-03-04T23:37:13.214Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:37:13.214Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:37:13.214Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:37:13.214Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:37:13.214Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:37:13.214Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14229.293 ms) ====== [2026-03-04T23:37:13.214Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-04T23:37:13.214Z] GC before operation: completed in 137.136 ms, heap usage 114.064 MB -> 92.732 MB. [2026-03-04T23:37:15.202Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:37:17.168Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:37:20.193Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:37:22.159Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:37:23.113Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:37:24.066Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:37:26.027Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:37:26.986Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:37:26.986Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:37:26.986Z] The best model improves the baseline by 14.52%. [2026-03-04T23:37:26.986Z] Top recommended movies for user id 72: [2026-03-04T23:37:26.986Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:37:26.986Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:37:26.986Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:37:26.986Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:37:26.986Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:37:26.986Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (13916.691 ms) ====== [2026-03-04T23:37:26.986Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-04T23:37:26.986Z] GC before operation: completed in 133.981 ms, heap usage 182.109 MB -> 91.966 MB. [2026-03-04T23:37:30.011Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:37:31.978Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:37:33.940Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:37:35.900Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:37:36.855Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:37:37.811Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:37:39.770Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:37:40.725Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:37:40.725Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:37:40.725Z] The best model improves the baseline by 14.52%. [2026-03-04T23:37:41.679Z] Top recommended movies for user id 72: [2026-03-04T23:37:41.679Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:37:41.679Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:37:41.679Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:37:41.679Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:37:41.679Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:37:41.679Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (13862.642 ms) ====== [2026-03-04T23:37:41.679Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-04T23:37:41.679Z] GC before operation: completed in 145.263 ms, heap usage 686.830 MB -> 96.212 MB. [2026-03-04T23:37:43.644Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:37:45.605Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:37:47.563Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:37:49.532Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:37:51.977Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:37:51.977Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:37:53.938Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:37:54.893Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:37:54.893Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:37:54.893Z] The best model improves the baseline by 14.52%. [2026-03-04T23:37:54.893Z] Top recommended movies for user id 72: [2026-03-04T23:37:54.893Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:37:54.893Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:37:54.893Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:37:54.893Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:37:54.893Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:37:54.893Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (13832.986 ms) ====== [2026-03-04T23:37:54.893Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-04T23:37:54.893Z] GC before operation: completed in 129.428 ms, heap usage 610.707 MB -> 95.127 MB. [2026-03-04T23:37:57.919Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:37:59.880Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:38:01.840Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:38:03.982Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:38:04.935Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:38:05.888Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:38:07.909Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:38:08.865Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:38:08.865Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:38:08.865Z] The best model improves the baseline by 14.52%. [2026-03-04T23:38:08.865Z] Top recommended movies for user id 72: [2026-03-04T23:38:08.865Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:38:08.865Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:38:08.865Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:38:08.865Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:38:08.865Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:38:08.865Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (13940.903 ms) ====== [2026-03-04T23:38:09.818Z] ----------------------------------- [2026-03-04T23:38:09.818Z] renaissance-movie-lens_0_PASSED [2026-03-04T23:38:09.818Z] ----------------------------------- [2026-03-04T23:38:09.818Z] [2026-03-04T23:38:09.818Z] TEST TEARDOWN: [2026-03-04T23:38:09.818Z] Nothing to be done for teardown. [2026-03-04T23:38:09.818Z] renaissance-movie-lens_0 Finish Time: Wed Mar 4 23:38:09 2026 Epoch Time (ms): 1772667489261