[2025-10-18T22:59:13.805Z] Running test renaissance-movie-lens_0 ... [2025-10-18T22:59:13.805Z] =============================================== [2025-10-18T22:59:13.805Z] renaissance-movie-lens_0 Start Time: Sat Oct 18 22:59:11 2025 Epoch Time (ms): 1760828351338 [2025-10-18T22:59:13.805Z] variation: NoOptions [2025-10-18T22:59:13.805Z] JVM_OPTIONS: [2025-10-18T22:59:13.805Z] { \ [2025-10-18T22:59:13.805Z] echo ""; echo "TEST SETUP:"; \ [2025-10-18T22:59:13.805Z] echo "Nothing to be done for setup."; \ [2025-10-18T22:59:13.805Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1_rerun/aqa-tests/TKG/../TKG/output_17608237179067/renaissance-movie-lens_0"; \ [2025-10-18T22:59:13.805Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1_rerun/aqa-tests/TKG/../TKG/output_17608237179067/renaissance-movie-lens_0"; \ [2025-10-18T22:59:13.805Z] echo ""; echo "TESTING:"; \ [2025-10-18T22:59:13.805Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1_rerun/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_rerun/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1_rerun/aqa-tests/TKG/../TKG/output_17608237179067/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-10-18T22:59:13.805Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1_rerun/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1_rerun/aqa-tests/TKG/../TKG/output_17608237179067/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-10-18T22:59:13.806Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-10-18T22:59:13.806Z] echo "Nothing to be done for teardown."; \ [2025-10-18T22:59:13.806Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1_rerun/aqa-tests/TKG/../TKG/output_17608237179067/TestTargetResult"; [2025-10-18T22:59:13.806Z] [2025-10-18T22:59:13.806Z] TEST SETUP: [2025-10-18T22:59:13.806Z] Nothing to be done for setup. [2025-10-18T22:59:13.806Z] [2025-10-18T22:59:13.806Z] TESTING: [2025-10-18T22:59:13.806Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-10-18T22:59:13.806Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1_rerun/aqa-tests/TKG/output_17608237179067/renaissance-movie-lens_0/launcher-225912-17640197316052047453/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-10-18T22:59:13.806Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-10-18T22:59:13.806Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-10-18T22:59:36.826Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-10-18T23:00:04.534Z] 23:00:04.322 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-10-18T23:00:15.344Z] Got 100004 ratings from 671 users on 9066 movies. [2025-10-18T23:00:16.497Z] Training: 60056, validation: 20285, test: 19854 [2025-10-18T23:00:16.498Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-10-18T23:00:16.835Z] GC before operation: completed in 630.521 ms, heap usage 323.337 MB -> 76.056 MB. [2025-10-18T23:00:44.638Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-18T23:00:57.761Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-18T23:01:10.861Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-18T23:01:21.662Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-18T23:01:27.567Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-18T23:01:34.956Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-18T23:01:40.840Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-18T23:01:46.726Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-18T23:01:47.868Z] 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. [2025-10-18T23:01:47.868Z] The best model improves the baseline by 14.52%. [2025-10-18T23:01:49.022Z] Top recommended movies for user id 72: [2025-10-18T23:01:49.022Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-18T23:01:49.022Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-18T23:01:49.022Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-18T23:01:49.022Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-18T23:01:49.022Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-18T23:01:49.022Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (92229.658 ms) ====== [2025-10-18T23:01:49.022Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-10-18T23:01:50.200Z] GC before operation: completed in 1000.403 ms, heap usage 247.079 MB -> 89.644 MB. [2025-10-18T23:02:01.012Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-18T23:02:11.832Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-18T23:02:22.648Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-18T23:02:31.594Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-18T23:02:37.476Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-18T23:02:43.368Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-18T23:02:49.261Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-18T23:02:53.997Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-18T23:02:54.700Z] 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. [2025-10-18T23:02:55.026Z] The best model improves the baseline by 14.52%. [2025-10-18T23:02:55.365Z] Top recommended movies for user id 72: [2025-10-18T23:02:55.365Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-18T23:02:55.365Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-18T23:02:55.365Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-18T23:02:55.365Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-18T23:02:55.365Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-18T23:02:55.365Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (65394.964 ms) ====== [2025-10-18T23:02:55.365Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-10-18T23:02:56.520Z] GC before operation: completed in 983.321 ms, heap usage 824.990 MB -> 92.887 MB. [2025-10-18T23:03:07.376Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-18T23:03:16.575Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-18T23:03:25.450Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-18T23:03:32.697Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-18T23:03:38.585Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-18T23:03:43.321Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-18T23:03:49.200Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-18T23:03:53.929Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-18T23:03:54.258Z] 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. [2025-10-18T23:03:54.589Z] The best model improves the baseline by 14.52%. [2025-10-18T23:03:55.305Z] Top recommended movies for user id 72: [2025-10-18T23:03:55.305Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-18T23:03:55.305Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-18T23:03:55.305Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-18T23:03:55.305Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-18T23:03:55.305Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-18T23:03:55.305Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (58643.202 ms) ====== [2025-10-18T23:03:55.305Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-10-18T23:03:56.102Z] GC before operation: completed in 887.500 ms, heap usage 648.700 MB -> 93.187 MB. [2025-10-18T23:04:05.033Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-18T23:04:13.909Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-18T23:04:21.142Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-18T23:04:30.013Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-18T23:04:35.900Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-18T23:04:40.645Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-18T23:04:45.506Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-18T23:04:51.409Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-18T23:04:51.409Z] 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. [2025-10-18T23:04:51.409Z] The best model improves the baseline by 14.52%. [2025-10-18T23:04:52.112Z] Top recommended movies for user id 72: [2025-10-18T23:04:52.112Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-18T23:04:52.112Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-18T23:04:52.112Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-18T23:04:52.112Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-18T23:04:52.112Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-18T23:04:52.112Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (56095.195 ms) ====== [2025-10-18T23:04:52.112Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-10-18T23:04:52.836Z] GC before operation: completed in 784.403 ms, heap usage 184.025 MB -> 89.580 MB. [2025-10-18T23:05:01.712Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-18T23:05:10.572Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-18T23:05:19.450Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-18T23:05:26.702Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-18T23:05:33.274Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-18T23:05:38.003Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-18T23:05:42.739Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-18T23:05:47.474Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-18T23:05:48.178Z] 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. [2025-10-18T23:05:48.506Z] The best model improves the baseline by 14.52%. [2025-10-18T23:05:49.222Z] Top recommended movies for user id 72: [2025-10-18T23:05:49.222Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-18T23:05:49.222Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-18T23:05:49.222Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-18T23:05:49.222Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-18T23:05:49.222Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-18T23:05:49.222Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (56101.908 ms) ====== [2025-10-18T23:05:49.222Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-10-18T23:05:49.952Z] GC before operation: completed in 834.501 ms, heap usage 957.021 MB -> 94.239 MB. [2025-10-18T23:05:58.815Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-18T23:06:06.071Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-18T23:06:14.945Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-18T23:06:22.205Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-18T23:06:28.115Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-18T23:06:32.849Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-18T23:06:37.582Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-18T23:06:42.348Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-18T23:06:42.679Z] 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. [2025-10-18T23:06:43.018Z] The best model improves the baseline by 14.52%. [2025-10-18T23:06:43.722Z] Top recommended movies for user id 72: [2025-10-18T23:06:43.722Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-18T23:06:43.722Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-18T23:06:43.722Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-18T23:06:43.722Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-18T23:06:43.722Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-18T23:06:43.722Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (53694.573 ms) ====== [2025-10-18T23:06:43.722Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-10-18T23:06:44.431Z] GC before operation: completed in 775.493 ms, heap usage 274.580 MB -> 89.999 MB. [2025-10-18T23:06:53.294Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-18T23:07:00.530Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-18T23:07:09.423Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-18T23:07:15.388Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-18T23:07:20.129Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-18T23:07:24.871Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-18T23:07:29.626Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-18T23:07:34.359Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-18T23:07:35.059Z] 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. [2025-10-18T23:07:35.059Z] The best model improves the baseline by 14.52%. [2025-10-18T23:07:35.765Z] Top recommended movies for user id 72: [2025-10-18T23:07:35.765Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-18T23:07:35.765Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-18T23:07:35.765Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-18T23:07:35.765Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-18T23:07:35.765Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-18T23:07:35.765Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (51436.587 ms) ====== [2025-10-18T23:07:35.765Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-10-18T23:07:36.485Z] GC before operation: completed in 754.474 ms, heap usage 182.112 MB -> 89.829 MB. [2025-10-18T23:07:45.355Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-18T23:07:52.598Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-18T23:08:01.476Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-18T23:08:07.532Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-18T23:08:12.276Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-18T23:08:17.008Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-18T23:08:21.741Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-18T23:08:26.476Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-18T23:08:27.621Z] 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. [2025-10-18T23:08:27.945Z] The best model improves the baseline by 14.52%. [2025-10-18T23:08:28.662Z] Top recommended movies for user id 72: [2025-10-18T23:08:28.662Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-18T23:08:28.662Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-18T23:08:28.662Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-18T23:08:28.662Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-18T23:08:28.662Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-18T23:08:28.662Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (51935.483 ms) ====== [2025-10-18T23:08:28.662Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-10-18T23:08:29.378Z] GC before operation: completed in 705.313 ms, heap usage 549.861 MB -> 90.519 MB. [2025-10-18T23:08:38.244Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-18T23:08:45.492Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-18T23:08:52.810Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-18T23:09:00.064Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-18T23:09:03.831Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-18T23:09:08.572Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-18T23:09:13.299Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-18T23:09:19.181Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-18T23:09:19.181Z] 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. [2025-10-18T23:09:19.181Z] The best model improves the baseline by 14.52%. [2025-10-18T23:09:19.886Z] Top recommended movies for user id 72: [2025-10-18T23:09:19.886Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-18T23:09:19.886Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-18T23:09:19.886Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-18T23:09:19.886Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-18T23:09:19.886Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-18T23:09:19.886Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (50868.950 ms) ====== [2025-10-18T23:09:19.886Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-10-18T23:09:20.610Z] GC before operation: completed in 677.652 ms, heap usage 375.647 MB -> 90.268 MB. [2025-10-18T23:09:29.479Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-18T23:09:36.721Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-18T23:09:44.139Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-18T23:09:51.402Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-18T23:09:56.157Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-18T23:10:00.885Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-18T23:10:05.660Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-18T23:10:10.399Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-18T23:10:10.399Z] 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. [2025-10-18T23:10:10.727Z] The best model improves the baseline by 14.52%. [2025-10-18T23:10:11.054Z] Top recommended movies for user id 72: [2025-10-18T23:10:11.054Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-18T23:10:11.054Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-18T23:10:11.054Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-18T23:10:11.054Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-18T23:10:11.054Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-18T23:10:11.054Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (50487.736 ms) ====== [2025-10-18T23:10:11.054Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-10-18T23:10:11.780Z] GC before operation: completed in 707.584 ms, heap usage 721.308 MB -> 94.194 MB. [2025-10-18T23:10:20.663Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-18T23:10:28.015Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-18T23:10:36.870Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-18T23:10:42.757Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-18T23:10:47.498Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-18T23:10:52.238Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-18T23:10:58.128Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-18T23:11:01.892Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-18T23:11:02.600Z] 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. [2025-10-18T23:11:02.930Z] The best model improves the baseline by 14.52%. [2025-10-18T23:11:03.643Z] Top recommended movies for user id 72: [2025-10-18T23:11:03.643Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-18T23:11:03.643Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-18T23:11:03.643Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-18T23:11:03.643Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-18T23:11:03.643Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-18T23:11:03.643Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (51550.443 ms) ====== [2025-10-18T23:11:03.643Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-10-18T23:11:04.353Z] GC before operation: completed in 683.450 ms, heap usage 266.762 MB -> 90.019 MB. [2025-10-18T23:11:13.294Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-18T23:11:19.276Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-18T23:11:26.534Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-18T23:11:33.789Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-18T23:11:38.519Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-18T23:11:43.258Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-18T23:11:48.002Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-18T23:11:52.733Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-18T23:11:53.436Z] 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. [2025-10-18T23:11:53.436Z] The best model improves the baseline by 14.52%. [2025-10-18T23:11:54.148Z] Top recommended movies for user id 72: [2025-10-18T23:11:54.148Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-18T23:11:54.148Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-18T23:11:54.148Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-18T23:11:54.148Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-18T23:11:54.148Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-18T23:11:54.148Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (49922.627 ms) ====== [2025-10-18T23:11:54.148Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-10-18T23:11:54.871Z] GC before operation: completed in 679.818 ms, heap usage 253.534 MB -> 90.241 MB. [2025-10-18T23:12:03.912Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-18T23:12:11.179Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-18T23:12:18.424Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-18T23:12:25.700Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-18T23:12:30.440Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-18T23:12:35.185Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-18T23:12:39.921Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-18T23:12:44.656Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-18T23:12:45.800Z] 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. [2025-10-18T23:12:45.800Z] The best model improves the baseline by 14.52%. [2025-10-18T23:12:46.504Z] Top recommended movies for user id 72: [2025-10-18T23:12:46.504Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-18T23:12:46.504Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-18T23:12:46.504Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-18T23:12:46.504Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-18T23:12:46.504Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-18T23:12:46.504Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (51856.319 ms) ====== [2025-10-18T23:12:46.504Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-10-18T23:12:47.217Z] GC before operation: completed in 754.699 ms, heap usage 1.157 GB -> 95.705 MB. [2025-10-18T23:12:56.222Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-18T23:13:03.485Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-18T23:13:12.362Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-18T23:13:21.228Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-18T23:13:25.023Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-18T23:13:29.755Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-18T23:13:35.665Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-18T23:13:40.448Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-18T23:13:41.165Z] 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. [2025-10-18T23:13:41.165Z] The best model improves the baseline by 14.52%. [2025-10-18T23:13:41.873Z] Top recommended movies for user id 72: [2025-10-18T23:13:41.873Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-18T23:13:41.873Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-18T23:13:41.873Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-18T23:13:41.873Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-18T23:13:41.873Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-18T23:13:41.873Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (54347.219 ms) ====== [2025-10-18T23:13:41.873Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-10-18T23:13:42.577Z] GC before operation: completed in 695.247 ms, heap usage 313.377 MB -> 90.262 MB. [2025-10-18T23:13:51.437Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-18T23:13:58.696Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-18T23:14:07.554Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-18T23:14:14.815Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-18T23:14:20.698Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-18T23:14:25.426Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-18T23:14:30.329Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-18T23:14:35.105Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-18T23:14:36.246Z] 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. [2025-10-18T23:14:36.574Z] The best model improves the baseline by 14.52%. [2025-10-18T23:14:36.899Z] Top recommended movies for user id 72: [2025-10-18T23:14:36.899Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-18T23:14:36.899Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-18T23:14:36.899Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-18T23:14:36.899Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-18T23:14:36.899Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-18T23:14:36.899Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (54622.602 ms) ====== [2025-10-18T23:14:36.899Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-10-18T23:14:37.622Z] GC before operation: completed in 689.909 ms, heap usage 105.817 MB -> 91.852 MB. [2025-10-18T23:14:46.494Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-18T23:14:53.745Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-18T23:15:02.618Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-18T23:15:11.497Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-18T23:15:15.279Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-18T23:15:20.178Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-18T23:15:26.075Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-18T23:15:30.813Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-18T23:15:31.953Z] 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. [2025-10-18T23:15:31.953Z] The best model improves the baseline by 14.52%. [2025-10-18T23:15:32.285Z] Top recommended movies for user id 72: [2025-10-18T23:15:32.285Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-18T23:15:32.285Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-18T23:15:32.285Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-18T23:15:32.285Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-18T23:15:32.285Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-18T23:15:32.285Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (54704.173 ms) ====== [2025-10-18T23:15:32.285Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-10-18T23:15:33.013Z] GC before operation: completed in 710.609 ms, heap usage 458.662 MB -> 90.500 MB. [2025-10-18T23:15:41.886Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-18T23:15:49.141Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-18T23:15:56.406Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-18T23:16:03.676Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-18T23:16:08.417Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-18T23:16:12.177Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-18T23:16:16.927Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-18T23:16:21.681Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-18T23:16:22.386Z] 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. [2025-10-18T23:16:22.717Z] The best model improves the baseline by 14.52%. [2025-10-18T23:16:23.045Z] Top recommended movies for user id 72: [2025-10-18T23:16:23.045Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-18T23:16:23.045Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-18T23:16:23.045Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-18T23:16:23.045Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-18T23:16:23.045Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-18T23:16:23.045Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (50017.618 ms) ====== [2025-10-18T23:16:23.045Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-10-18T23:16:23.767Z] GC before operation: completed in 705.072 ms, heap usage 269.638 MB -> 90.381 MB. [2025-10-18T23:16:32.632Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-18T23:16:39.872Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-18T23:16:47.129Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-18T23:16:54.410Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-18T23:16:58.379Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-18T23:17:03.136Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-18T23:17:07.873Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-18T23:17:12.647Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-18T23:17:13.350Z] 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. [2025-10-18T23:17:13.350Z] The best model improves the baseline by 14.52%. [2025-10-18T23:17:14.051Z] Top recommended movies for user id 72: [2025-10-18T23:17:14.051Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-18T23:17:14.051Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-18T23:17:14.051Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-18T23:17:14.051Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-18T23:17:14.051Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-18T23:17:14.051Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (50182.443 ms) ====== [2025-10-18T23:17:14.051Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-10-18T23:17:14.766Z] GC before operation: completed in 744.199 ms, heap usage 766.254 MB -> 94.062 MB. [2025-10-18T23:17:22.033Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-18T23:17:29.293Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-18T23:17:36.542Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-18T23:17:43.813Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-18T23:17:48.668Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-18T23:17:53.406Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-18T23:17:58.138Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-18T23:18:02.878Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-18T23:18:02.878Z] 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. [2025-10-18T23:18:03.206Z] The best model improves the baseline by 14.52%. [2025-10-18T23:18:03.913Z] Top recommended movies for user id 72: [2025-10-18T23:18:03.913Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-18T23:18:03.913Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-18T23:18:03.913Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-18T23:18:03.913Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-18T23:18:03.913Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-18T23:18:03.913Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (48947.549 ms) ====== [2025-10-18T23:18:03.913Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-10-18T23:18:04.622Z] GC before operation: completed in 695.271 ms, heap usage 124.832 MB -> 91.092 MB. [2025-10-18T23:18:11.869Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-18T23:18:19.117Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-18T23:18:26.366Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-18T23:18:33.807Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-18T23:18:38.538Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-18T23:18:43.283Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-18T23:18:49.168Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-18T23:18:53.897Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-18T23:18:54.601Z] 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. [2025-10-18T23:18:54.601Z] The best model improves the baseline by 14.52%. [2025-10-18T23:18:55.305Z] Top recommended movies for user id 72: [2025-10-18T23:18:55.305Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-18T23:18:55.305Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-18T23:18:55.305Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-18T23:18:55.305Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-18T23:18:55.305Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-18T23:18:55.305Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (50752.038 ms) ====== [2025-10-18T23:19:00.041Z] ----------------------------------- [2025-10-18T23:19:00.041Z] renaissance-movie-lens_0_PASSED [2025-10-18T23:19:00.041Z] ----------------------------------- [2025-10-18T23:19:00.041Z] [2025-10-18T23:19:00.041Z] TEST TEARDOWN: [2025-10-18T23:19:00.041Z] Nothing to be done for teardown. [2025-10-18T23:19:00.041Z] renaissance-movie-lens_0 Finish Time: Sat Oct 18 23:18:59 2025 Epoch Time (ms): 1760829539170