[2025-12-16T09:54:41.965Z] Running test renaissance-movie-lens_0 ... [2025-12-16T09:54:42.306Z] =============================================== [2025-12-16T09:54:42.306Z] renaissance-movie-lens_0 Start Time: Tue Dec 16 09:54:41 2025 Epoch Time (ms): 1765878881989 [2025-12-16T09:54:42.306Z] variation: NoOptions [2025-12-16T09:54:42.306Z] JVM_OPTIONS: [2025-12-16T09:54:42.306Z] { \ [2025-12-16T09:54:42.306Z] echo ""; echo "TEST SETUP:"; \ [2025-12-16T09:54:42.306Z] echo "Nothing to be done for setup."; \ [2025-12-16T09:54:42.306Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17658754598044/renaissance-movie-lens_0"; \ [2025-12-16T09:54:42.306Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17658754598044/renaissance-movie-lens_0"; \ [2025-12-16T09:54:42.306Z] echo ""; echo "TESTING:"; \ [2025-12-16T09:54:42.306Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_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_riscv64_linux_testList_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17658754598044/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-16T09:54:42.306Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17658754598044/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-16T09:54:42.306Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-16T09:54:42.306Z] echo "Nothing to be done for teardown."; \ [2025-12-16T09:54:42.306Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17658754598044/TestTargetResult"; [2025-12-16T09:54:42.306Z] [2025-12-16T09:54:42.306Z] TEST SETUP: [2025-12-16T09:54:42.306Z] Nothing to be done for setup. [2025-12-16T09:54:42.306Z] [2025-12-16T09:54:42.306Z] TESTING: [2025-12-16T09:54:44.710Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-12-16T09:54:44.710Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/output_17658754598044/renaissance-movie-lens_0/launcher-095442-6689963832837742444/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-12-16T09:54:44.710Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-12-16T09:54:44.710Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-12-16T09:55:07.793Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-12-16T09:55:41.217Z] 09:55:36.401 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. [2025-12-16T09:55:47.162Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-16T09:55:49.539Z] Training: 60056, validation: 20285, test: 19854 [2025-12-16T09:55:49.539Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-16T09:55:49.879Z] GC before operation: completed in 601.600 ms, heap usage 325.293 MB -> 75.700 MB. [2025-12-16T09:56:18.002Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:56:31.198Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:56:42.068Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:56:55.340Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:57:01.327Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:57:07.258Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:57:14.612Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:57:21.912Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:57:22.244Z] 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. [2025-12-16T09:57:22.575Z] The best model improves the baseline by 14.52%. [2025-12-16T09:57:23.741Z] Top recommended movies for user id 72: [2025-12-16T09:57:23.741Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-16T09:57:23.741Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-16T09:57:23.741Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-16T09:57:23.741Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-16T09:57:23.741Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-16T09:57:23.741Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (93485.008 ms) ====== [2025-12-16T09:57:23.742Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-16T09:57:24.476Z] GC before operation: completed in 827.622 ms, heap usage 133.931 MB -> 86.123 MB. [2025-12-16T09:57:35.416Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:57:46.286Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:57:57.168Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:58:06.100Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:58:12.060Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:58:17.984Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:58:23.971Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:58:29.928Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:58:30.645Z] 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. [2025-12-16T09:58:30.974Z] The best model improves the baseline by 14.52%. [2025-12-16T09:58:31.305Z] Top recommended movies for user id 72: [2025-12-16T09:58:31.305Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-16T09:58:31.305Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-16T09:58:31.305Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-16T09:58:31.305Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-16T09:58:31.305Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-16T09:58:31.305Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (67143.837 ms) ====== [2025-12-16T09:58:31.305Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-16T09:58:32.493Z] GC before operation: completed in 858.457 ms, heap usage 321.699 MB -> 88.571 MB. [2025-12-16T09:58:43.402Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:58:52.357Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:59:01.275Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:59:08.570Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:59:14.503Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:59:19.274Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:59:24.229Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:59:28.994Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:59:29.346Z] 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. [2025-12-16T09:59:29.677Z] The best model improves the baseline by 14.52%. [2025-12-16T09:59:30.388Z] Top recommended movies for user id 72: [2025-12-16T09:59:30.388Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-16T09:59:30.388Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-16T09:59:30.388Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-16T09:59:30.388Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-16T09:59:30.388Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-16T09:59:30.388Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (57930.215 ms) ====== [2025-12-16T09:59:30.388Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-16T09:59:31.121Z] GC before operation: completed in 996.132 ms, heap usage 957.859 MB -> 93.614 MB. [2025-12-16T09:59:41.992Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:59:49.321Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:59:56.621Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T10:00:05.850Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T10:00:10.632Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T10:00:15.402Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T10:00:20.005Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T10:00:24.842Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T10:00:25.995Z] 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. [2025-12-16T10:00:25.996Z] The best model improves the baseline by 14.52%. [2025-12-16T10:00:26.710Z] Top recommended movies for user id 72: [2025-12-16T10:00:26.710Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-16T10:00:26.710Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-16T10:00:26.710Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-16T10:00:26.710Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-16T10:00:26.710Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-16T10:00:26.710Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (55443.962 ms) ====== [2025-12-16T10:00:26.710Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-16T10:00:27.442Z] GC before operation: completed in 908.217 ms, heap usage 185.326 MB -> 89.248 MB. [2025-12-16T10:00:36.497Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T10:00:45.429Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T10:00:52.739Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T10:01:01.662Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T10:01:06.432Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T10:01:11.283Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T10:01:16.258Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T10:01:21.123Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T10:01:21.861Z] 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. [2025-12-16T10:01:21.861Z] The best model improves the baseline by 14.52%. [2025-12-16T10:01:25.007Z] Top recommended movies for user id 72: [2025-12-16T10:01:25.007Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-16T10:01:25.007Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-16T10:01:25.007Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-16T10:01:25.007Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-16T10:01:25.007Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-16T10:01:25.007Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (54901.519 ms) ====== [2025-12-16T10:01:25.007Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-16T10:01:25.007Z] GC before operation: completed in 932.242 ms, heap usage 449.614 MB -> 89.691 MB. [2025-12-16T10:01:31.923Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T10:01:39.618Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T10:01:47.610Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T10:01:54.920Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T10:01:59.782Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T10:02:04.575Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T10:02:10.522Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T10:02:14.397Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T10:02:15.112Z] 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. [2025-12-16T10:02:15.112Z] The best model improves the baseline by 14.52%. [2025-12-16T10:02:15.836Z] Top recommended movies for user id 72: [2025-12-16T10:02:15.836Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-16T10:02:15.836Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-16T10:02:15.836Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-16T10:02:15.836Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-16T10:02:15.836Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-16T10:02:15.836Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (52307.994 ms) ====== [2025-12-16T10:02:15.836Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-16T10:02:16.574Z] GC before operation: completed in 937.710 ms, heap usage 517.009 MB -> 90.119 MB. [2025-12-16T10:02:25.552Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T10:02:32.849Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T10:02:40.142Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T10:02:49.066Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T10:02:52.879Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T10:02:57.648Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T10:03:02.760Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T10:03:06.574Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T10:03:07.286Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-16T10:03:07.286Z] The best model improves the baseline by 14.52%. [2025-12-16T10:03:08.018Z] Top recommended movies for user id 72: [2025-12-16T10:03:08.018Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-16T10:03:08.018Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-16T10:03:08.018Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-16T10:03:08.018Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-16T10:03:08.018Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-16T10:03:08.018Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (51131.835 ms) ====== [2025-12-16T10:03:08.018Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-16T10:03:08.756Z] GC before operation: completed in 928.102 ms, heap usage 761.737 MB -> 93.578 MB. [2025-12-16T10:03:17.702Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T10:03:24.996Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T10:03:33.949Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T10:03:41.283Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T10:03:47.218Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T10:03:51.994Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T10:03:56.768Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T10:04:02.778Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T10:04:02.778Z] 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. [2025-12-16T10:04:03.113Z] The best model improves the baseline by 14.52%. [2025-12-16T10:04:03.444Z] Top recommended movies for user id 72: [2025-12-16T10:04:03.444Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-16T10:04:03.444Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-16T10:04:03.444Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-16T10:04:03.444Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-16T10:04:03.444Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-16T10:04:03.444Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (54733.858 ms) ====== [2025-12-16T10:04:03.444Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-16T10:04:04.617Z] GC before operation: completed in 905.960 ms, heap usage 347.448 MB -> 90.009 MB. [2025-12-16T10:04:13.761Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T10:04:21.087Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T10:04:29.989Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T10:04:37.285Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T10:04:42.055Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T10:04:48.099Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T10:04:52.882Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T10:04:57.665Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T10:04:57.998Z] 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. [2025-12-16T10:04:58.330Z] The best model improves the baseline by 14.52%. [2025-12-16T10:04:59.056Z] Top recommended movies for user id 72: [2025-12-16T10:04:59.056Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-16T10:04:59.056Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-16T10:04:59.056Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-16T10:04:59.056Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-16T10:04:59.056Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-16T10:04:59.056Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (54494.179 ms) ====== [2025-12-16T10:04:59.056Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-16T10:04:59.893Z] GC before operation: completed in 932.253 ms, heap usage 546.027 MB -> 90.206 MB. [2025-12-16T10:05:08.812Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T10:05:16.104Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T10:05:23.481Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T10:05:30.778Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T10:05:35.558Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T10:05:39.369Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T10:05:44.153Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T10:05:48.925Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T10:05:49.256Z] 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. [2025-12-16T10:05:49.256Z] The best model improves the baseline by 14.52%. [2025-12-16T10:05:49.969Z] Top recommended movies for user id 72: [2025-12-16T10:05:49.969Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-16T10:05:49.969Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-16T10:05:49.969Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-16T10:05:49.969Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-16T10:05:49.969Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-16T10:05:49.969Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (50013.595 ms) ====== [2025-12-16T10:05:49.969Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-16T10:05:50.693Z] GC before operation: completed in 991.176 ms, heap usage 1.230 GB -> 95.504 MB. [2025-12-16T10:05:59.801Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T10:06:07.089Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T10:06:14.382Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T10:06:21.748Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T10:06:25.541Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T10:06:30.328Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T10:06:35.241Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T10:06:40.046Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T10:06:40.757Z] 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. [2025-12-16T10:06:40.757Z] The best model improves the baseline by 14.52%. [2025-12-16T10:06:41.470Z] Top recommended movies for user id 72: [2025-12-16T10:06:41.470Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-16T10:06:41.470Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-16T10:06:41.470Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-16T10:06:41.470Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-16T10:06:41.470Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-16T10:06:41.470Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (50491.649 ms) ====== [2025-12-16T10:06:41.470Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-16T10:06:42.190Z] GC before operation: completed in 975.847 ms, heap usage 1016.116 MB -> 94.479 MB. [2025-12-16T10:06:51.165Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T10:06:58.474Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T10:07:05.945Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T10:07:11.886Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T10:07:16.670Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T10:07:21.459Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T10:07:25.274Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T10:07:30.080Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T10:07:30.796Z] 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. [2025-12-16T10:07:30.796Z] The best model improves the baseline by 14.52%. [2025-12-16T10:07:31.138Z] Top recommended movies for user id 72: [2025-12-16T10:07:31.485Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-16T10:07:31.485Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-16T10:07:31.485Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-16T10:07:31.485Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-16T10:07:31.485Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-16T10:07:31.485Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (48994.356 ms) ====== [2025-12-16T10:07:31.485Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-16T10:07:32.224Z] GC before operation: completed in 933.830 ms, heap usage 495.459 MB -> 90.393 MB. [2025-12-16T10:07:41.255Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T10:07:47.189Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T10:07:54.524Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T10:08:01.857Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T10:08:06.653Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T10:08:12.675Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T10:08:17.463Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T10:08:22.243Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T10:08:22.953Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-16T10:08:22.953Z] The best model improves the baseline by 14.52%. [2025-12-16T10:08:23.670Z] Top recommended movies for user id 72: [2025-12-16T10:08:23.670Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-16T10:08:23.670Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-16T10:08:23.670Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-16T10:08:23.670Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-16T10:08:23.670Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-16T10:08:23.670Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (51375.329 ms) ====== [2025-12-16T10:08:23.670Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-16T10:08:24.402Z] GC before operation: completed in 914.435 ms, heap usage 378.877 MB -> 90.192 MB. [2025-12-16T10:08:33.337Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T10:08:42.342Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T10:08:49.684Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T10:08:58.695Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T10:09:03.470Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T10:09:08.256Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T10:09:13.343Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T10:09:18.161Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T10:09:18.875Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-16T10:09:18.875Z] The best model improves the baseline by 14.52%. [2025-12-16T10:09:19.619Z] Top recommended movies for user id 72: [2025-12-16T10:09:19.619Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-16T10:09:19.619Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-16T10:09:19.619Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-16T10:09:19.619Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-16T10:09:19.619Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-16T10:09:19.619Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (54876.609 ms) ====== [2025-12-16T10:09:19.619Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-16T10:09:20.358Z] GC before operation: completed in 922.436 ms, heap usage 386.959 MB -> 90.005 MB. [2025-12-16T10:09:29.416Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T10:09:36.707Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T10:09:45.629Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T10:09:52.926Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T10:09:57.700Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T10:10:02.623Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T10:10:07.403Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T10:10:12.172Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T10:10:12.535Z] 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. [2025-12-16T10:10:12.535Z] The best model improves the baseline by 14.52%. [2025-12-16T10:10:13.690Z] Top recommended movies for user id 72: [2025-12-16T10:10:13.690Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-16T10:10:13.690Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-16T10:10:13.690Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-16T10:10:13.690Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-16T10:10:13.690Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-16T10:10:13.690Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (53099.932 ms) ====== [2025-12-16T10:10:13.690Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-16T10:10:14.417Z] GC before operation: completed in 929.564 ms, heap usage 181.108 MB -> 90.026 MB. [2025-12-16T10:10:23.362Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T10:10:30.694Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T10:10:38.347Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T10:10:47.282Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T10:10:51.098Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T10:10:55.885Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T10:11:01.811Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T10:11:06.617Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T10:11:07.327Z] 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. [2025-12-16T10:11:07.327Z] The best model improves the baseline by 14.52%. [2025-12-16T10:11:08.047Z] Top recommended movies for user id 72: [2025-12-16T10:11:08.047Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-16T10:11:08.047Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-16T10:11:08.047Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-16T10:11:08.047Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-16T10:11:08.047Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-16T10:11:08.047Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (53548.154 ms) ====== [2025-12-16T10:11:08.047Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-16T10:11:08.792Z] GC before operation: completed in 937.493 ms, heap usage 368.678 MB -> 90.125 MB. [2025-12-16T10:11:17.817Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T10:11:23.743Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T10:11:32.673Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T10:11:38.639Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T10:11:45.554Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T10:11:46.709Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T10:11:51.572Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T10:11:56.344Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T10:11:56.344Z] 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. [2025-12-16T10:11:56.675Z] The best model improves the baseline by 14.52%. [2025-12-16T10:11:57.416Z] Top recommended movies for user id 72: [2025-12-16T10:11:57.416Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-16T10:11:57.416Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-16T10:11:57.416Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-16T10:11:57.416Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-16T10:11:57.416Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-16T10:11:57.416Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (48331.707 ms) ====== [2025-12-16T10:11:57.416Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-16T10:11:58.153Z] GC before operation: completed in 936.883 ms, heap usage 304.453 MB -> 90.084 MB. [2025-12-16T10:12:07.085Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T10:12:13.015Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T10:12:20.332Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T10:12:27.795Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T10:12:32.568Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T10:12:36.364Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T10:12:41.155Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T10:12:46.144Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T10:12:46.865Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-16T10:12:49.418Z] The best model improves the baseline by 14.52%. [2025-12-16T10:12:49.418Z] Top recommended movies for user id 72: [2025-12-16T10:12:49.418Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-16T10:12:49.418Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-16T10:12:49.418Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-16T10:12:49.418Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-16T10:12:49.418Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-16T10:12:49.418Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (49571.000 ms) ====== [2025-12-16T10:12:49.418Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-16T10:12:49.418Z] GC before operation: completed in 916.251 ms, heap usage 122.204 MB -> 89.835 MB. [2025-12-16T10:12:57.586Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T10:13:05.137Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T10:13:12.938Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T10:13:20.286Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T10:13:25.442Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T10:13:30.233Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T10:13:35.025Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T10:13:39.808Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T10:13:40.519Z] 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. [2025-12-16T10:13:40.519Z] The best model improves the baseline by 14.52%. [2025-12-16T10:13:41.232Z] Top recommended movies for user id 72: [2025-12-16T10:13:41.232Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-16T10:13:41.232Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-16T10:13:41.232Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-16T10:13:41.232Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-16T10:13:41.232Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-16T10:13:41.232Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (52723.261 ms) ====== [2025-12-16T10:13:41.232Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-16T10:13:42.408Z] GC before operation: completed in 938.801 ms, heap usage 303.649 MB -> 90.110 MB. [2025-12-16T10:13:51.338Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T10:13:58.644Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T10:14:05.945Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T10:14:15.066Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T10:14:18.863Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T10:14:23.645Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T10:14:29.574Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T10:14:34.354Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T10:14:34.354Z] 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. [2025-12-16T10:14:34.684Z] The best model improves the baseline by 14.52%. [2025-12-16T10:14:35.016Z] Top recommended movies for user id 72: [2025-12-16T10:14:35.016Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-16T10:14:35.016Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-16T10:14:35.016Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-16T10:14:35.016Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-16T10:14:35.016Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-16T10:14:35.016Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (52867.286 ms) ====== [2025-12-16T10:14:38.812Z] ----------------------------------- [2025-12-16T10:14:38.812Z] renaissance-movie-lens_0_PASSED [2025-12-16T10:14:38.812Z] ----------------------------------- [2025-12-16T10:14:38.812Z] [2025-12-16T10:14:38.812Z] TEST TEARDOWN: [2025-12-16T10:14:38.812Z] Nothing to be done for teardown. [2025-12-16T10:14:38.812Z] renaissance-movie-lens_0 Finish Time: Tue Dec 16 10:14:38 2025 Epoch Time (ms): 1765880078115