[2025-12-06T15:00:26.665Z] Running test renaissance-movie-lens_0 ... [2025-12-06T15:00:26.665Z] =============================================== [2025-12-06T15:00:26.665Z] renaissance-movie-lens_0 Start Time: Sat Dec 6 15:00:26 2025 Epoch Time (ms): 1765033226392 [2025-12-06T15:00:26.665Z] variation: NoOptions [2025-12-06T15:00:26.665Z] JVM_OPTIONS: [2025-12-06T15:00:26.665Z] { \ [2025-12-06T15:00:26.665Z] echo ""; echo "TEST SETUP:"; \ [2025-12-06T15:00:26.665Z] echo "Nothing to be done for setup."; \ [2025-12-06T15:00:26.665Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/../TKG/output_17650320453473/renaissance-movie-lens_0"; \ [2025-12-06T15:00:26.665Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/../TKG/output_17650320453473/renaissance-movie-lens_0"; \ [2025-12-06T15:00:26.665Z] echo ""; echo "TESTING:"; \ [2025-12-06T15:00:26.665Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/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_testList_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/../TKG/output_17650320453473/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-06T15:00:26.665Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/../TKG/output_17650320453473/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-06T15:00:26.665Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-06T15:00:26.665Z] echo "Nothing to be done for teardown."; \ [2025-12-06T15:00:26.665Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/../TKG/output_17650320453473/TestTargetResult"; [2025-12-06T15:00:26.665Z] [2025-12-06T15:00:26.665Z] TEST SETUP: [2025-12-06T15:00:26.665Z] Nothing to be done for setup. [2025-12-06T15:00:26.665Z] [2025-12-06T15:00:26.665Z] TESTING: [2025-12-06T15:00:27.618Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-12-06T15:00:27.619Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/output_17650320453473/renaissance-movie-lens_0/launcher-150026-6821106449326811651/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-12-06T15:00:27.619Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-12-06T15:00:27.619Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-12-06T15:00:31.769Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-12-06T15:00:38.501Z] 15:00:38.124 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. [2025-12-06T15:00:40.455Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-06T15:00:41.409Z] Training: 60056, validation: 20285, test: 19854 [2025-12-06T15:00:41.409Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-06T15:00:41.409Z] GC before operation: completed in 118.681 ms, heap usage 139.190 MB -> 75.633 MB. [2025-12-06T15:00:46.794Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T15:00:49.986Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T15:00:53.006Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T15:00:56.031Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T15:00:57.987Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T15:00:59.943Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T15:01:00.896Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T15:01:02.853Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T15:01:03.808Z] 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. [2025-12-06T15:01:03.808Z] The best model improves the baseline by 14.52%. [2025-12-06T15:01:03.808Z] Top recommended movies for user id 72: [2025-12-06T15:01:03.808Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-06T15:01:03.808Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-06T15:01:03.808Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-06T15:01:03.808Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-06T15:01:03.808Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-06T15:01:03.808Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (22489.579 ms) ====== [2025-12-06T15:01:03.808Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-06T15:01:03.808Z] GC before operation: completed in 150.710 ms, heap usage 415.380 MB -> 86.437 MB. [2025-12-06T15:01:06.839Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T15:01:09.859Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T15:01:11.821Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T15:01:14.842Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T15:01:16.799Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T15:01:17.752Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T15:01:19.705Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T15:01:20.662Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T15:01:20.662Z] 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. [2025-12-06T15:01:20.662Z] The best model improves the baseline by 14.52%. [2025-12-06T15:01:21.614Z] Top recommended movies for user id 72: [2025-12-06T15:01:21.614Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-06T15:01:21.614Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-06T15:01:21.614Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-06T15:01:21.614Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-06T15:01:21.614Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-06T15:01:21.614Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17416.367 ms) ====== [2025-12-06T15:01:21.614Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-06T15:01:21.615Z] GC before operation: completed in 129.519 ms, heap usage 205.148 MB -> 88.347 MB. [2025-12-06T15:01:23.572Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T15:01:26.594Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T15:01:28.553Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T15:01:30.511Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T15:01:32.261Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T15:01:33.218Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T15:01:35.311Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T15:01:36.263Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T15:01:37.216Z] 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. [2025-12-06T15:01:37.216Z] The best model improves the baseline by 14.52%. [2025-12-06T15:01:37.216Z] Top recommended movies for user id 72: [2025-12-06T15:01:37.216Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-06T15:01:37.216Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-06T15:01:37.216Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-06T15:01:37.216Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-06T15:01:37.216Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-06T15:01:37.216Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15573.176 ms) ====== [2025-12-06T15:01:37.216Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-06T15:01:37.216Z] GC before operation: completed in 148.256 ms, heap usage 492.372 MB -> 89.413 MB. [2025-12-06T15:01:39.174Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T15:01:41.137Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T15:01:44.159Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T15:01:46.120Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T15:01:48.079Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T15:01:49.034Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T15:01:50.994Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T15:01:51.949Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T15:01:52.901Z] 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. [2025-12-06T15:01:52.901Z] The best model improves the baseline by 14.52%. [2025-12-06T15:01:52.901Z] Top recommended movies for user id 72: [2025-12-06T15:01:52.901Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-06T15:01:52.901Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-06T15:01:52.901Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-06T15:01:52.901Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-06T15:01:52.901Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-06T15:01:52.901Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15546.864 ms) ====== [2025-12-06T15:01:52.901Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-06T15:01:52.901Z] GC before operation: completed in 153.662 ms, heap usage 345.294 MB -> 89.368 MB. [2025-12-06T15:01:54.856Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T15:01:57.888Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T15:01:59.852Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T15:02:02.880Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T15:02:03.836Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T15:02:05.795Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T15:02:06.747Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T15:02:08.701Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T15:02:08.701Z] 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. [2025-12-06T15:02:08.701Z] The best model improves the baseline by 14.52%. [2025-12-06T15:02:08.701Z] Top recommended movies for user id 72: [2025-12-06T15:02:08.701Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-06T15:02:08.701Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-06T15:02:08.701Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-06T15:02:08.701Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-06T15:02:08.701Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-06T15:02:08.701Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15770.995 ms) ====== [2025-12-06T15:02:08.701Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-06T15:02:08.701Z] GC before operation: completed in 116.598 ms, heap usage 199.787 MB -> 89.182 MB. [2025-12-06T15:02:10.662Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T15:02:12.624Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T15:02:15.643Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T15:02:17.601Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T15:02:18.555Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T15:02:19.508Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T15:02:21.464Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T15:02:22.420Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T15:02:22.420Z] 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. [2025-12-06T15:02:22.420Z] The best model improves the baseline by 14.52%. [2025-12-06T15:02:23.374Z] Top recommended movies for user id 72: [2025-12-06T15:02:23.374Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-06T15:02:23.374Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-06T15:02:23.374Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-06T15:02:23.374Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-06T15:02:23.374Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-06T15:02:23.374Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (14224.223 ms) ====== [2025-12-06T15:02:23.374Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-06T15:02:23.374Z] GC before operation: completed in 125.635 ms, heap usage 371.459 MB -> 89.813 MB. [2025-12-06T15:02:26.039Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T15:02:28.169Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T15:02:30.125Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T15:02:32.084Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T15:02:34.042Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T15:02:35.108Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T15:02:37.064Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T15:02:38.017Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T15:02:38.017Z] 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. [2025-12-06T15:02:38.017Z] The best model improves the baseline by 14.52%. [2025-12-06T15:02:38.989Z] Top recommended movies for user id 72: [2025-12-06T15:02:38.989Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-06T15:02:38.989Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-06T15:02:38.989Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-06T15:02:38.989Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-06T15:02:38.989Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-06T15:02:38.989Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15476.537 ms) ====== [2025-12-06T15:02:38.989Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-06T15:02:38.989Z] GC before operation: completed in 147.426 ms, heap usage 179.705 MB -> 89.439 MB. [2025-12-06T15:02:40.947Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T15:02:42.905Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T15:02:45.940Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T15:02:47.897Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T15:02:48.850Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T15:02:50.807Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T15:02:51.761Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T15:02:53.720Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T15:02:53.720Z] 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. [2025-12-06T15:02:53.720Z] The best model improves the baseline by 14.52%. [2025-12-06T15:02:53.720Z] Top recommended movies for user id 72: [2025-12-06T15:02:53.720Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-06T15:02:53.720Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-06T15:02:53.720Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-06T15:02:53.720Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-06T15:02:53.720Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-06T15:02:53.720Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15339.388 ms) ====== [2025-12-06T15:02:53.720Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-06T15:02:54.674Z] GC before operation: completed in 184.707 ms, heap usage 371.987 MB -> 89.994 MB. [2025-12-06T15:02:56.631Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T15:02:58.590Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T15:03:01.620Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T15:03:03.688Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T15:03:04.647Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T15:03:06.606Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T15:03:07.559Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T15:03:09.514Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T15:03:09.514Z] 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. [2025-12-06T15:03:09.514Z] The best model improves the baseline by 14.52%. [2025-12-06T15:03:09.514Z] Top recommended movies for user id 72: [2025-12-06T15:03:09.514Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-06T15:03:09.514Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-06T15:03:09.514Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-06T15:03:09.514Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-06T15:03:09.514Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-06T15:03:09.514Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15594.442 ms) ====== [2025-12-06T15:03:09.514Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-06T15:03:10.466Z] GC before operation: completed in 212.656 ms, heap usage 400.368 MB -> 89.741 MB. [2025-12-06T15:03:12.421Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T15:03:15.442Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T15:03:17.401Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T15:03:20.236Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T15:03:21.188Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T15:03:22.141Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T15:03:24.098Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T15:03:25.052Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T15:03:25.052Z] 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. [2025-12-06T15:03:25.052Z] The best model improves the baseline by 14.52%. [2025-12-06T15:03:26.019Z] Top recommended movies for user id 72: [2025-12-06T15:03:26.019Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-06T15:03:26.019Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-06T15:03:26.019Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-06T15:03:26.019Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-06T15:03:26.019Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-06T15:03:26.019Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15652.897 ms) ====== [2025-12-06T15:03:26.019Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-06T15:03:26.019Z] GC before operation: completed in 161.461 ms, heap usage 370.162 MB -> 89.999 MB. [2025-12-06T15:03:27.976Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T15:03:29.932Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T15:03:32.959Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T15:03:34.982Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T15:03:35.934Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T15:03:37.889Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T15:03:38.841Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T15:03:40.798Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T15:03:40.798Z] 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. [2025-12-06T15:03:40.798Z] The best model improves the baseline by 14.52%. [2025-12-06T15:03:40.798Z] Top recommended movies for user id 72: [2025-12-06T15:03:40.798Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-06T15:03:40.798Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-06T15:03:40.798Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-06T15:03:40.798Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-06T15:03:40.798Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-06T15:03:40.798Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15258.420 ms) ====== [2025-12-06T15:03:40.798Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-06T15:03:40.798Z] GC before operation: completed in 134.435 ms, heap usage 445.044 MB -> 89.775 MB. [2025-12-06T15:03:43.818Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T15:03:45.774Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T15:03:47.731Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T15:03:49.685Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T15:03:51.640Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T15:03:52.593Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T15:03:54.549Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T15:03:55.502Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T15:03:55.502Z] 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. [2025-12-06T15:03:55.502Z] The best model improves the baseline by 14.52%. [2025-12-06T15:03:56.457Z] Top recommended movies for user id 72: [2025-12-06T15:03:56.457Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-06T15:03:56.457Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-06T15:03:56.457Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-06T15:03:56.457Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-06T15:03:56.457Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-06T15:03:56.457Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14831.360 ms) ====== [2025-12-06T15:03:56.457Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-06T15:03:56.457Z] GC before operation: completed in 121.163 ms, heap usage 401.918 MB -> 89.957 MB. [2025-12-06T15:03:58.414Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T15:04:00.371Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T15:04:03.390Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T15:04:05.365Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T15:04:06.316Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T15:04:08.273Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T15:04:09.227Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T15:04:10.180Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T15:04:11.139Z] 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. [2025-12-06T15:04:11.139Z] The best model improves the baseline by 14.52%. [2025-12-06T15:04:11.139Z] Top recommended movies for user id 72: [2025-12-06T15:04:11.139Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-06T15:04:11.139Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-06T15:04:11.139Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-06T15:04:11.139Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-06T15:04:11.139Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-06T15:04:11.139Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14790.766 ms) ====== [2025-12-06T15:04:11.139Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-06T15:04:11.139Z] GC before operation: completed in 126.337 ms, heap usage 372.326 MB -> 90.031 MB. [2025-12-06T15:04:13.803Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T15:04:15.927Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T15:04:17.882Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T15:04:20.901Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T15:04:21.854Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T15:04:23.811Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T15:04:24.764Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T15:04:26.720Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T15:04:26.720Z] 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. [2025-12-06T15:04:26.720Z] The best model improves the baseline by 14.52%. [2025-12-06T15:04:26.720Z] Top recommended movies for user id 72: [2025-12-06T15:04:26.720Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-06T15:04:26.720Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-06T15:04:26.720Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-06T15:04:26.720Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-06T15:04:26.720Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-06T15:04:26.720Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15509.372 ms) ====== [2025-12-06T15:04:26.720Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-06T15:04:26.721Z] GC before operation: completed in 121.513 ms, heap usage 480.598 MB -> 90.027 MB. [2025-12-06T15:04:28.676Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T15:04:31.695Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T15:04:33.650Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T15:04:35.605Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T15:04:37.559Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T15:04:38.511Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T15:04:39.461Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T15:04:41.416Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T15:04:41.416Z] 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. [2025-12-06T15:04:41.416Z] The best model improves the baseline by 14.52%. [2025-12-06T15:04:41.416Z] Top recommended movies for user id 72: [2025-12-06T15:04:41.416Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-06T15:04:41.416Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-06T15:04:41.416Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-06T15:04:41.416Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-06T15:04:41.416Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-06T15:04:41.416Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14755.158 ms) ====== [2025-12-06T15:04:41.416Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-06T15:04:41.416Z] GC before operation: completed in 128.206 ms, heap usage 445.638 MB -> 90.228 MB. [2025-12-06T15:04:43.372Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T15:04:46.387Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T15:04:48.341Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T15:04:50.296Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T15:04:51.247Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T15:04:53.201Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T15:04:54.154Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T15:04:56.109Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T15:04:56.109Z] 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. [2025-12-06T15:04:56.109Z] The best model improves the baseline by 14.52%. [2025-12-06T15:04:56.109Z] Top recommended movies for user id 72: [2025-12-06T15:04:56.109Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-06T15:04:56.109Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-06T15:04:56.110Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-06T15:04:56.110Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-06T15:04:56.110Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-06T15:04:56.110Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14638.075 ms) ====== [2025-12-06T15:04:56.110Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-06T15:04:56.110Z] GC before operation: completed in 134.959 ms, heap usage 396.606 MB -> 89.975 MB. [2025-12-06T15:04:59.131Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T15:05:01.970Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T15:05:02.924Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T15:05:04.880Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T15:05:06.845Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T15:05:07.810Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T15:05:09.770Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T15:05:10.727Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T15:05:10.727Z] 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. [2025-12-06T15:05:10.727Z] The best model improves the baseline by 14.52%. [2025-12-06T15:05:11.680Z] Top recommended movies for user id 72: [2025-12-06T15:05:11.680Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-06T15:05:11.680Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-06T15:05:11.680Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-06T15:05:11.680Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-06T15:05:11.680Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-06T15:05:11.680Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14794.787 ms) ====== [2025-12-06T15:05:11.680Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-06T15:05:11.680Z] GC before operation: completed in 117.624 ms, heap usage 399.951 MB -> 90.048 MB. [2025-12-06T15:05:13.634Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T15:05:15.596Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T15:05:18.617Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T15:05:20.575Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T15:05:21.527Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T15:05:22.481Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T15:05:24.440Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T15:05:25.393Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T15:05:25.393Z] 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. [2025-12-06T15:05:25.393Z] The best model improves the baseline by 14.52%. [2025-12-06T15:05:26.346Z] Top recommended movies for user id 72: [2025-12-06T15:05:26.346Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-06T15:05:26.346Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-06T15:05:26.346Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-06T15:05:26.346Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-06T15:05:26.346Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-06T15:05:26.346Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14688.222 ms) ====== [2025-12-06T15:05:26.346Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-06T15:05:26.346Z] GC before operation: completed in 145.217 ms, heap usage 124.536 MB -> 89.625 MB. [2025-12-06T15:05:28.300Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T15:05:30.256Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T15:05:33.275Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T15:05:35.307Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T15:05:36.260Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T15:05:37.212Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T15:05:39.168Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T15:05:40.123Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T15:05:41.077Z] 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. [2025-12-06T15:05:41.077Z] The best model improves the baseline by 14.52%. [2025-12-06T15:05:41.077Z] Top recommended movies for user id 72: [2025-12-06T15:05:41.077Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-06T15:05:41.077Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-06T15:05:41.077Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-06T15:05:41.077Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-06T15:05:41.077Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-06T15:05:41.077Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14834.047 ms) ====== [2025-12-06T15:05:41.077Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-06T15:05:41.077Z] GC before operation: completed in 117.127 ms, heap usage 449.257 MB -> 90.091 MB. [2025-12-06T15:05:43.033Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T15:05:44.993Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T15:05:46.949Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T15:05:48.905Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T15:05:50.033Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T15:05:51.990Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T15:05:52.945Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T15:05:53.904Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T15:05:54.859Z] 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. [2025-12-06T15:05:54.859Z] The best model improves the baseline by 14.52%. [2025-12-06T15:05:54.859Z] Top recommended movies for user id 72: [2025-12-06T15:05:54.859Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-06T15:05:54.859Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-06T15:05:54.859Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-06T15:05:54.859Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-06T15:05:54.859Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-06T15:05:54.859Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (13525.478 ms) ====== [2025-12-06T15:05:54.859Z] ----------------------------------- [2025-12-06T15:05:54.859Z] renaissance-movie-lens_0_PASSED [2025-12-06T15:05:54.859Z] ----------------------------------- [2025-12-06T15:05:54.859Z] [2025-12-06T15:05:54.859Z] TEST TEARDOWN: [2025-12-06T15:05:54.859Z] Nothing to be done for teardown. [2025-12-06T15:05:54.859Z] renaissance-movie-lens_0 Finish Time: Sat Dec 6 15:05:54 2025 Epoch Time (ms): 1765033554610