[2025-12-13T15:20:48.935Z] Running test renaissance-movie-lens_0 ... [2025-12-13T15:20:48.935Z] =============================================== [2025-12-13T15:20:48.935Z] renaissance-movie-lens_0 Start Time: Sat Dec 13 15:20:47 2025 Epoch Time (ms): 1765639247856 [2025-12-13T15:20:48.935Z] variation: NoOptions [2025-12-13T15:20:48.935Z] JVM_OPTIONS: [2025-12-13T15:20:48.935Z] { \ [2025-12-13T15:20:48.935Z] echo ""; echo "TEST SETUP:"; \ [2025-12-13T15:20:48.935Z] echo "Nothing to be done for setup."; \ [2025-12-13T15:20:48.935Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/../TKG/output_17656386693802/renaissance-movie-lens_0"; \ [2025-12-13T15:20:48.935Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/../TKG/output_17656386693802/renaissance-movie-lens_0"; \ [2025-12-13T15:20:48.935Z] echo ""; echo "TESTING:"; \ [2025-12-13T15:20:48.935Z] "/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_17656386693802/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-13T15:20:48.935Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/../TKG/output_17656386693802/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-13T15:20:48.935Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-13T15:20:48.935Z] echo "Nothing to be done for teardown."; \ [2025-12-13T15:20:48.935Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/../TKG/output_17656386693802/TestTargetResult"; [2025-12-13T15:20:48.935Z] [2025-12-13T15:20:48.935Z] TEST SETUP: [2025-12-13T15:20:48.935Z] Nothing to be done for setup. [2025-12-13T15:20:48.935Z] [2025-12-13T15:20:48.935Z] TESTING: [2025-12-13T15:20:48.935Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-12-13T15:20:48.935Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/output_17656386693802/renaissance-movie-lens_0/launcher-152048-7005133292075840160/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-12-13T15:20:48.935Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-12-13T15:20:48.935Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-12-13T15:20:54.347Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-12-13T15:21:01.098Z] 15:21:00.168 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-12-13T15:21:03.766Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-13T15:21:03.766Z] Training: 60056, validation: 20285, test: 19854 [2025-12-13T15:21:03.766Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-13T15:21:03.766Z] GC before operation: completed in 158.991 ms, heap usage 326.623 MB -> 75.781 MB. [2025-12-13T15:21:09.221Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T15:21:12.441Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T15:21:15.481Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T15:21:18.523Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T15:21:20.494Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T15:21:22.464Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T15:21:24.434Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T15:21:25.397Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T15:21:26.358Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-13T15:21:26.358Z] The best model improves the baseline by 14.52%. [2025-12-13T15:21:26.358Z] Top recommended movies for user id 72: [2025-12-13T15:21:26.358Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-13T15:21:26.358Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-13T15:21:26.358Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-13T15:21:26.358Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-13T15:21:26.358Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-13T15:21:26.358Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (22754.325 ms) ====== [2025-12-13T15:21:26.358Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-13T15:21:26.358Z] GC before operation: completed in 160.714 ms, heap usage 302.436 MB -> 99.833 MB. [2025-12-13T15:21:29.400Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T15:21:32.442Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T15:21:34.413Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T15:21:37.454Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T15:21:38.413Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T15:21:40.381Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T15:21:41.341Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T15:21:43.314Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T15:21:43.314Z] 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. [2025-12-13T15:21:43.314Z] The best model improves the baseline by 14.52%. [2025-12-13T15:21:44.275Z] Top recommended movies for user id 72: [2025-12-13T15:21:44.275Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-13T15:21:44.275Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-13T15:21:44.275Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-13T15:21:44.275Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-13T15:21:44.275Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-13T15:21:44.275Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17393.199 ms) ====== [2025-12-13T15:21:44.275Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-13T15:21:44.275Z] GC before operation: completed in 142.113 ms, heap usage 112.904 MB -> 88.640 MB. [2025-12-13T15:21:46.250Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T15:21:49.294Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T15:21:52.334Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T15:21:54.316Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T15:21:56.289Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T15:21:58.259Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T15:21:59.219Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T15:22:01.195Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T15:22:01.195Z] 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. [2025-12-13T15:22:01.195Z] The best model improves the baseline by 14.52%. [2025-12-13T15:22:01.195Z] Top recommended movies for user id 72: [2025-12-13T15:22:01.195Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-13T15:22:01.195Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-13T15:22:01.195Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-13T15:22:01.195Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-13T15:22:01.195Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-13T15:22:01.195Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17421.106 ms) ====== [2025-12-13T15:22:01.195Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-13T15:22:01.195Z] GC before operation: completed in 145.164 ms, heap usage 382.553 MB -> 89.650 MB. [2025-12-13T15:22:04.240Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T15:22:07.280Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T15:22:10.006Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T15:22:11.978Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T15:22:13.956Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T15:22:14.916Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T15:22:16.889Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T15:22:18.857Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T15:22:18.857Z] 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. [2025-12-13T15:22:18.857Z] The best model improves the baseline by 14.52%. [2025-12-13T15:22:18.857Z] Top recommended movies for user id 72: [2025-12-13T15:22:18.857Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-13T15:22:18.857Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-13T15:22:18.857Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-13T15:22:18.857Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-13T15:22:18.857Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-13T15:22:18.857Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (17248.714 ms) ====== [2025-12-13T15:22:18.857Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-13T15:22:18.857Z] GC before operation: completed in 166.262 ms, heap usage 372.794 MB -> 89.845 MB. [2025-12-13T15:22:21.896Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T15:22:23.868Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T15:22:26.905Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T15:22:28.872Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T15:22:29.833Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T15:22:31.801Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T15:22:32.771Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T15:22:34.741Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T15:22:34.741Z] 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. [2025-12-13T15:22:34.741Z] The best model improves the baseline by 14.52%. [2025-12-13T15:22:34.741Z] Top recommended movies for user id 72: [2025-12-13T15:22:34.741Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-13T15:22:34.741Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-13T15:22:34.741Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-13T15:22:34.741Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-13T15:22:34.741Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-13T15:22:34.741Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15704.224 ms) ====== [2025-12-13T15:22:34.741Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-13T15:22:34.741Z] GC before operation: completed in 149.041 ms, heap usage 196.736 MB -> 89.496 MB. [2025-12-13T15:22:37.781Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T15:22:39.748Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T15:22:41.716Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T15:22:43.698Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T15:22:45.665Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T15:22:46.625Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T15:22:47.587Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T15:22:49.568Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T15:22:49.568Z] 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. [2025-12-13T15:22:49.568Z] The best model improves the baseline by 14.52%. [2025-12-13T15:22:49.568Z] Top recommended movies for user id 72: [2025-12-13T15:22:49.568Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-13T15:22:49.568Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-13T15:22:49.568Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-13T15:22:49.568Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-13T15:22:49.568Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-13T15:22:49.568Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (14928.403 ms) ====== [2025-12-13T15:22:49.568Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-13T15:22:49.568Z] GC before operation: completed in 153.770 ms, heap usage 150.203 MB -> 89.833 MB. [2025-12-13T15:22:52.613Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T15:22:54.613Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T15:22:56.595Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T15:22:59.637Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T15:23:01.495Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T15:23:02.465Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T15:23:04.434Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T15:23:05.394Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T15:23:05.394Z] 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. [2025-12-13T15:23:05.394Z] The best model improves the baseline by 14.52%. [2025-12-13T15:23:06.353Z] Top recommended movies for user id 72: [2025-12-13T15:23:06.353Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-13T15:23:06.353Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-13T15:23:06.353Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-13T15:23:06.353Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-13T15:23:06.353Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-13T15:23:06.353Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15941.661 ms) ====== [2025-12-13T15:23:06.353Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-13T15:23:06.353Z] GC before operation: completed in 129.053 ms, heap usage 368.586 MB -> 90.062 MB. [2025-12-13T15:23:08.329Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T15:23:10.301Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T15:23:13.338Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T15:23:15.312Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T15:23:17.284Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T15:23:18.246Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T15:23:19.210Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T15:23:21.182Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T15:23:21.182Z] 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. [2025-12-13T15:23:21.182Z] The best model improves the baseline by 14.52%. [2025-12-13T15:23:21.182Z] Top recommended movies for user id 72: [2025-12-13T15:23:21.182Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-13T15:23:21.182Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-13T15:23:21.182Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-13T15:23:21.182Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-13T15:23:21.182Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-13T15:23:21.182Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15144.569 ms) ====== [2025-12-13T15:23:21.182Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-13T15:23:21.182Z] GC before operation: completed in 117.711 ms, heap usage 225.601 MB -> 90.039 MB. [2025-12-13T15:23:24.228Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T15:23:26.203Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T15:23:28.172Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T15:23:30.141Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T15:23:31.101Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T15:23:32.062Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T15:23:34.030Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T15:23:34.992Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T15:23:34.992Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-13T15:23:34.992Z] The best model improves the baseline by 14.52%. [2025-12-13T15:23:35.951Z] Top recommended movies for user id 72: [2025-12-13T15:23:35.951Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-13T15:23:35.951Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-13T15:23:35.951Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-13T15:23:35.951Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-13T15:23:35.951Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-13T15:23:35.951Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14194.205 ms) ====== [2025-12-13T15:23:35.951Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-13T15:23:35.951Z] GC before operation: completed in 121.564 ms, heap usage 270.084 MB -> 89.996 MB. [2025-12-13T15:23:37.931Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T15:23:39.901Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T15:23:41.876Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T15:23:43.856Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T15:23:45.838Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T15:23:46.803Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T15:23:47.762Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T15:23:48.723Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T15:23:49.685Z] 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. [2025-12-13T15:23:49.685Z] The best model improves the baseline by 14.52%. [2025-12-13T15:23:49.685Z] Top recommended movies for user id 72: [2025-12-13T15:23:49.685Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-13T15:23:49.685Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-13T15:23:49.685Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-13T15:23:49.685Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-13T15:23:49.685Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-13T15:23:49.685Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14018.883 ms) ====== [2025-12-13T15:23:49.685Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-13T15:23:49.685Z] GC before operation: completed in 145.774 ms, heap usage 262.801 MB -> 90.247 MB. [2025-12-13T15:23:51.654Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T15:23:54.693Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T15:23:56.665Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T15:23:59.361Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T15:24:00.320Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T15:24:02.289Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T15:24:03.249Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T15:24:05.343Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T15:24:05.343Z] 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. [2025-12-13T15:24:05.343Z] The best model improves the baseline by 14.52%. [2025-12-13T15:24:05.343Z] Top recommended movies for user id 72: [2025-12-13T15:24:05.343Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-13T15:24:05.343Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-13T15:24:05.343Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-13T15:24:05.343Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-13T15:24:05.343Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-13T15:24:05.343Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15440.212 ms) ====== [2025-12-13T15:24:05.343Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-13T15:24:05.343Z] GC before operation: completed in 141.207 ms, heap usage 399.183 MB -> 90.058 MB. [2025-12-13T15:24:07.333Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T15:24:10.380Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T15:24:12.348Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T15:24:14.316Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T15:24:16.284Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T15:24:17.243Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T15:24:19.213Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T15:24:20.175Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T15:24:20.175Z] 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. [2025-12-13T15:24:21.134Z] The best model improves the baseline by 14.52%. [2025-12-13T15:24:21.134Z] Top recommended movies for user id 72: [2025-12-13T15:24:21.134Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-13T15:24:21.134Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-13T15:24:21.134Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-13T15:24:21.134Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-13T15:24:21.134Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-13T15:24:21.134Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15446.981 ms) ====== [2025-12-13T15:24:21.134Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-13T15:24:21.134Z] GC before operation: completed in 140.068 ms, heap usage 126.299 MB -> 89.975 MB. [2025-12-13T15:24:23.102Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T15:24:25.072Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T15:24:28.120Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T15:24:30.104Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T15:24:32.075Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T15:24:33.035Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T15:24:35.030Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T15:24:35.990Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T15:24:35.990Z] 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. [2025-12-13T15:24:35.990Z] The best model improves the baseline by 14.52%. [2025-12-13T15:24:35.990Z] Top recommended movies for user id 72: [2025-12-13T15:24:35.990Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-13T15:24:35.990Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-13T15:24:35.990Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-13T15:24:35.990Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-13T15:24:35.990Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-13T15:24:35.990Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15429.883 ms) ====== [2025-12-13T15:24:35.990Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-13T15:24:36.950Z] GC before operation: completed in 142.864 ms, heap usage 388.016 MB -> 90.428 MB. [2025-12-13T15:24:38.924Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T15:24:40.894Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T15:24:43.956Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T15:24:45.965Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T15:24:46.928Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T15:24:49.615Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T15:24:49.615Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T15:24:51.594Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T15:24:51.594Z] 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. [2025-12-13T15:24:51.594Z] The best model improves the baseline by 14.52%. [2025-12-13T15:24:51.594Z] Top recommended movies for user id 72: [2025-12-13T15:24:51.594Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-13T15:24:51.594Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-13T15:24:51.594Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-13T15:24:51.594Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-13T15:24:51.594Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-13T15:24:51.594Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15236.360 ms) ====== [2025-12-13T15:24:51.594Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-13T15:24:51.594Z] GC before operation: completed in 214.181 ms, heap usage 386.776 MB -> 90.310 MB. [2025-12-13T15:24:54.636Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T15:24:56.609Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T15:24:58.584Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T15:25:01.631Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T15:25:02.606Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T15:25:03.712Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T15:25:05.681Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T15:25:06.643Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T15:25:06.643Z] 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. [2025-12-13T15:25:06.643Z] The best model improves the baseline by 14.52%. [2025-12-13T15:25:06.643Z] Top recommended movies for user id 72: [2025-12-13T15:25:06.643Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-13T15:25:06.643Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-13T15:25:06.643Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-13T15:25:06.643Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-13T15:25:06.643Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-13T15:25:06.643Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14956.609 ms) ====== [2025-12-13T15:25:06.643Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-13T15:25:06.643Z] GC before operation: completed in 150.166 ms, heap usage 291.646 MB -> 90.379 MB. [2025-12-13T15:25:09.685Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T15:25:11.654Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T15:25:14.696Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T15:25:16.667Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T15:25:17.632Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T15:25:19.611Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T15:25:21.583Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T15:25:22.542Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T15:25:22.542Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-13T15:25:22.542Z] The best model improves the baseline by 14.52%. [2025-12-13T15:25:22.542Z] Top recommended movies for user id 72: [2025-12-13T15:25:22.542Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-13T15:25:22.542Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-13T15:25:22.542Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-13T15:25:22.542Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-13T15:25:22.542Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-13T15:25:22.542Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15875.406 ms) ====== [2025-12-13T15:25:22.542Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-13T15:25:23.504Z] GC before operation: completed in 181.306 ms, heap usage 558.112 MB -> 93.760 MB. [2025-12-13T15:25:25.474Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T15:25:27.449Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T15:25:30.493Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T15:25:32.463Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T15:25:33.426Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T15:25:35.395Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T15:25:36.368Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T15:25:38.362Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T15:25:38.362Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-13T15:25:38.362Z] The best model improves the baseline by 14.52%. [2025-12-13T15:25:38.362Z] Top recommended movies for user id 72: [2025-12-13T15:25:38.362Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-13T15:25:38.362Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-13T15:25:38.362Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-13T15:25:38.362Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-13T15:25:38.362Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-13T15:25:38.362Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15445.435 ms) ====== [2025-12-13T15:25:38.362Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-13T15:25:38.362Z] GC before operation: completed in 148.236 ms, heap usage 519.342 MB -> 90.678 MB. [2025-12-13T15:25:41.403Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T15:25:43.081Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T15:25:45.051Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T15:25:48.098Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T15:25:49.077Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T15:25:50.047Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T15:25:51.007Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T15:25:52.980Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T15:25:52.980Z] 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. [2025-12-13T15:25:52.980Z] The best model improves the baseline by 14.52%. [2025-12-13T15:25:52.980Z] Top recommended movies for user id 72: [2025-12-13T15:25:52.980Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-13T15:25:52.980Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-13T15:25:52.980Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-13T15:25:52.980Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-13T15:25:52.980Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-13T15:25:52.980Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14360.467 ms) ====== [2025-12-13T15:25:52.980Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-13T15:25:52.980Z] GC before operation: completed in 149.462 ms, heap usage 443.126 MB -> 90.359 MB. [2025-12-13T15:25:56.088Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T15:25:58.072Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T15:26:04.478Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T15:26:04.478Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T15:26:04.478Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T15:26:04.478Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T15:26:06.451Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T15:26:07.412Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T15:26:08.373Z] 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. [2025-12-13T15:26:08.373Z] The best model improves the baseline by 14.52%. [2025-12-13T15:26:08.373Z] Top recommended movies for user id 72: [2025-12-13T15:26:08.373Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-13T15:26:08.373Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-13T15:26:08.373Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-13T15:26:08.373Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-13T15:26:08.373Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-13T15:26:08.373Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14927.566 ms) ====== [2025-12-13T15:26:08.373Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-13T15:26:08.373Z] GC before operation: completed in 188.113 ms, heap usage 488.720 MB -> 90.559 MB. [2025-12-13T15:26:10.348Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T15:26:12.495Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T15:26:15.545Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T15:26:17.549Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T15:26:18.523Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T15:26:20.527Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T15:26:21.493Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T15:26:23.485Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T15:26:23.485Z] 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. [2025-12-13T15:26:23.485Z] The best model improves the baseline by 14.52%. [2025-12-13T15:26:23.485Z] Top recommended movies for user id 72: [2025-12-13T15:26:23.485Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-13T15:26:23.485Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-13T15:26:23.485Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-13T15:26:23.485Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-13T15:26:23.485Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-13T15:26:23.485Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15270.433 ms) ====== [2025-12-13T15:26:24.447Z] ----------------------------------- [2025-12-13T15:26:24.447Z] renaissance-movie-lens_0_PASSED [2025-12-13T15:26:24.447Z] ----------------------------------- [2025-12-13T15:26:24.447Z] [2025-12-13T15:26:24.447Z] TEST TEARDOWN: [2025-12-13T15:26:24.447Z] Nothing to be done for teardown. [2025-12-13T15:26:24.447Z] renaissance-movie-lens_0 Finish Time: Sat Dec 13 15:26:23 2025 Epoch Time (ms): 1765639583696