[2025-07-01T13:08:46.369Z] Running test renaissance-movie-lens_0 ... [2025-07-01T13:08:46.369Z] =============================================== [2025-07-01T13:08:46.369Z] renaissance-movie-lens_0 Start Time: Tue Jul 1 13:08:45 2025 Epoch Time (ms): 1751375325609 [2025-07-01T13:08:46.369Z] variation: NoOptions [2025-07-01T13:08:46.369Z] JVM_OPTIONS: [2025-07-01T13:08:46.369Z] { \ [2025-07-01T13:08:46.369Z] echo ""; echo "TEST SETUP:"; \ [2025-07-01T13:08:46.369Z] echo "Nothing to be done for setup."; \ [2025-07-01T13:08:46.369Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17513739133751/renaissance-movie-lens_0"; \ [2025-07-01T13:08:46.369Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17513739133751/renaissance-movie-lens_0"; \ [2025-07-01T13:08:46.369Z] echo ""; echo "TESTING:"; \ [2025-07-01T13:08:46.369Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17513739133751/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-07-01T13:08:46.369Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17513739133751/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-07-01T13:08:46.369Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-07-01T13:08:46.369Z] echo "Nothing to be done for teardown."; \ [2025-07-01T13:08:46.369Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17513739133751/TestTargetResult"; [2025-07-01T13:08:46.369Z] [2025-07-01T13:08:46.369Z] TEST SETUP: [2025-07-01T13:08:46.369Z] Nothing to be done for setup. [2025-07-01T13:08:46.369Z] [2025-07-01T13:08:46.369Z] TESTING: [2025-07-01T13:08:51.901Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-07-01T13:08:57.294Z] 13:08:57.138 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-07-01T13:08:59.257Z] Got 100004 ratings from 671 users on 9066 movies. [2025-07-01T13:09:00.231Z] Training: 60056, validation: 20285, test: 19854 [2025-07-01T13:09:00.231Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-07-01T13:09:00.231Z] GC before operation: completed in 151.254 ms, heap usage 462.644 MB -> 75.880 MB. [2025-07-01T13:09:05.625Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T13:09:09.144Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T13:09:13.321Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T13:09:16.350Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T13:09:18.312Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T13:09:19.270Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T13:09:21.233Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T13:09:23.198Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T13:09:24.159Z] 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. [2025-07-01T13:09:24.159Z] The best model improves the baseline by 14.52%. [2025-07-01T13:09:24.159Z] Top recommended movies for user id 72: [2025-07-01T13:09:24.159Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T13:09:24.159Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T13:09:24.159Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T13:09:24.159Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T13:09:24.159Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T13:09:24.159Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (23814.367 ms) ====== [2025-07-01T13:09:24.159Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-07-01T13:09:24.159Z] GC before operation: completed in 185.032 ms, heap usage 371.581 MB -> 87.815 MB. [2025-07-01T13:09:27.194Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T13:09:30.225Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T13:09:33.252Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T13:09:35.215Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T13:09:37.177Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T13:09:39.139Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T13:09:40.118Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T13:09:42.080Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T13:09:42.080Z] 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. [2025-07-01T13:09:42.080Z] The best model improves the baseline by 14.52%. [2025-07-01T13:09:43.036Z] Top recommended movies for user id 72: [2025-07-01T13:09:43.036Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T13:09:43.036Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T13:09:43.036Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T13:09:43.036Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T13:09:43.036Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T13:09:43.036Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18381.461 ms) ====== [2025-07-01T13:09:43.036Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-07-01T13:09:43.036Z] GC before operation: completed in 154.061 ms, heap usage 403.367 MB -> 88.736 MB. [2025-07-01T13:09:45.002Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T13:09:48.039Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T13:09:51.086Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T13:09:53.064Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T13:09:54.021Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T13:09:55.983Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T13:09:57.947Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T13:09:58.903Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T13:09:58.903Z] 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. [2025-07-01T13:09:58.903Z] The best model improves the baseline by 14.52%. [2025-07-01T13:09:59.859Z] Top recommended movies for user id 72: [2025-07-01T13:09:59.859Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T13:09:59.859Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T13:09:59.859Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T13:09:59.859Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T13:09:59.859Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T13:09:59.859Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16671.272 ms) ====== [2025-07-01T13:09:59.859Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-07-01T13:09:59.859Z] GC before operation: completed in 153.286 ms, heap usage 257.640 MB -> 89.320 MB. [2025-07-01T13:10:01.847Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T13:10:03.816Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T13:10:06.847Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T13:10:09.296Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T13:10:10.253Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T13:10:12.227Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T13:10:14.188Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T13:10:15.144Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T13:10:16.284Z] 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. [2025-07-01T13:10:16.284Z] The best model improves the baseline by 14.52%. [2025-07-01T13:10:16.284Z] Top recommended movies for user id 72: [2025-07-01T13:10:16.284Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T13:10:16.284Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T13:10:16.284Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T13:10:16.284Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T13:10:16.284Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T13:10:16.284Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16330.017 ms) ====== [2025-07-01T13:10:16.284Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-07-01T13:10:16.284Z] GC before operation: completed in 161.242 ms, heap usage 402.251 MB -> 89.696 MB. [2025-07-01T13:10:18.248Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T13:10:21.283Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T13:10:23.247Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T13:10:26.275Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T13:10:28.237Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T13:10:29.194Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T13:10:31.158Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T13:10:32.115Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T13:10:33.084Z] 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. [2025-07-01T13:10:33.084Z] The best model improves the baseline by 14.52%. [2025-07-01T13:10:33.084Z] Top recommended movies for user id 72: [2025-07-01T13:10:33.084Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T13:10:33.084Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T13:10:33.084Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T13:10:33.084Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T13:10:33.084Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T13:10:33.084Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16824.334 ms) ====== [2025-07-01T13:10:33.084Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-07-01T13:10:33.084Z] GC before operation: completed in 158.346 ms, heap usage 359.693 MB -> 89.740 MB. [2025-07-01T13:10:36.129Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T13:10:38.091Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T13:10:40.054Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T13:10:42.018Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T13:10:43.981Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T13:10:44.938Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T13:10:46.900Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T13:10:47.855Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T13:10:47.855Z] 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. [2025-07-01T13:10:47.855Z] The best model improves the baseline by 14.52%. [2025-07-01T13:10:47.855Z] Top recommended movies for user id 72: [2025-07-01T13:10:47.855Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T13:10:47.855Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T13:10:47.855Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T13:10:47.855Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T13:10:47.855Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T13:10:47.855Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15116.327 ms) ====== [2025-07-01T13:10:47.855Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-07-01T13:10:48.811Z] GC before operation: completed in 181.671 ms, heap usage 257.274 MB -> 89.856 MB. [2025-07-01T13:10:50.775Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T13:10:52.739Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T13:10:54.701Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T13:10:57.730Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T13:10:58.686Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T13:10:59.642Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T13:11:01.606Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T13:11:02.563Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T13:11:03.519Z] 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. [2025-07-01T13:11:03.519Z] The best model improves the baseline by 14.52%. [2025-07-01T13:11:03.519Z] Top recommended movies for user id 72: [2025-07-01T13:11:03.519Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T13:11:03.519Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T13:11:03.519Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T13:11:03.519Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T13:11:03.519Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T13:11:03.519Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14881.753 ms) ====== [2025-07-01T13:11:03.519Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-07-01T13:11:03.519Z] GC before operation: completed in 148.281 ms, heap usage 229.336 MB -> 89.786 MB. [2025-07-01T13:11:05.483Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T13:11:08.146Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T13:11:10.226Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T13:11:12.188Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T13:11:13.146Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T13:11:15.108Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T13:11:16.062Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T13:11:18.024Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T13:11:18.025Z] 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. [2025-07-01T13:11:18.025Z] The best model improves the baseline by 14.52%. [2025-07-01T13:11:18.025Z] Top recommended movies for user id 72: [2025-07-01T13:11:18.025Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T13:11:18.025Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T13:11:18.025Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T13:11:18.025Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T13:11:18.025Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T13:11:18.025Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14815.980 ms) ====== [2025-07-01T13:11:18.025Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-07-01T13:11:18.025Z] GC before operation: completed in 142.067 ms, heap usage 168.435 MB -> 89.955 MB. [2025-07-01T13:11:21.054Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T13:11:23.015Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T13:11:24.975Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T13:11:28.002Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T13:11:28.958Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T13:11:30.917Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T13:11:31.873Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T13:11:33.836Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T13:11:33.836Z] 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. [2025-07-01T13:11:33.836Z] The best model improves the baseline by 14.52%. [2025-07-01T13:11:33.836Z] Top recommended movies for user id 72: [2025-07-01T13:11:33.836Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T13:11:33.836Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T13:11:33.836Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T13:11:33.836Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T13:11:33.836Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T13:11:33.836Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15532.552 ms) ====== [2025-07-01T13:11:33.836Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-07-01T13:11:33.836Z] GC before operation: completed in 126.386 ms, heap usage 361.105 MB -> 90.116 MB. [2025-07-01T13:11:36.862Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T13:11:38.829Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T13:11:40.792Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T13:11:43.832Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T13:11:44.791Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T13:11:46.758Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T13:11:47.811Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T13:11:48.768Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T13:11:49.724Z] 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. [2025-07-01T13:11:49.724Z] The best model improves the baseline by 14.52%. [2025-07-01T13:11:49.724Z] Top recommended movies for user id 72: [2025-07-01T13:11:49.724Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T13:11:49.724Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T13:11:49.724Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T13:11:49.724Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T13:11:49.724Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T13:11:49.724Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15618.832 ms) ====== [2025-07-01T13:11:49.724Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-07-01T13:11:49.724Z] GC before operation: completed in 131.427 ms, heap usage 148.611 MB -> 89.902 MB. [2025-07-01T13:11:51.703Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T13:11:54.736Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T13:11:56.699Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T13:11:58.663Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T13:11:59.621Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T13:12:01.586Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T13:12:02.544Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T13:12:04.506Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T13:12:04.506Z] 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. [2025-07-01T13:12:04.506Z] The best model improves the baseline by 14.52%. [2025-07-01T13:12:04.506Z] Top recommended movies for user id 72: [2025-07-01T13:12:04.506Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T13:12:04.506Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T13:12:04.506Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T13:12:04.506Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T13:12:04.506Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T13:12:04.506Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14590.915 ms) ====== [2025-07-01T13:12:04.506Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-07-01T13:12:04.506Z] GC before operation: completed in 136.990 ms, heap usage 667.242 MB -> 93.652 MB. [2025-07-01T13:12:06.470Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T13:12:10.216Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T13:12:11.174Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T13:12:14.214Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T13:12:15.170Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T13:12:16.126Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T13:12:18.092Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T13:12:19.051Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T13:12:20.007Z] 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. [2025-07-01T13:12:20.007Z] The best model improves the baseline by 14.52%. [2025-07-01T13:12:20.007Z] Top recommended movies for user id 72: [2025-07-01T13:12:20.007Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T13:12:20.007Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T13:12:20.007Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T13:12:20.007Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T13:12:20.007Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T13:12:20.007Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15371.662 ms) ====== [2025-07-01T13:12:20.007Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-07-01T13:12:20.007Z] GC before operation: completed in 147.561 ms, heap usage 262.002 MB -> 90.098 MB. [2025-07-01T13:12:21.981Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T13:12:25.026Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T13:12:26.988Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T13:12:28.950Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T13:12:30.915Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T13:12:31.871Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T13:12:33.838Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T13:12:35.834Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T13:12:35.834Z] 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. [2025-07-01T13:12:35.834Z] The best model improves the baseline by 14.52%. [2025-07-01T13:12:35.834Z] Top recommended movies for user id 72: [2025-07-01T13:12:35.834Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T13:12:35.834Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T13:12:35.834Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T13:12:35.834Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T13:12:35.834Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T13:12:35.834Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15737.927 ms) ====== [2025-07-01T13:12:35.834Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-07-01T13:12:35.834Z] GC before operation: completed in 139.653 ms, heap usage 285.164 MB -> 90.211 MB. [2025-07-01T13:12:38.864Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T13:12:40.828Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T13:12:42.790Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T13:12:45.828Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T13:12:46.785Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T13:12:47.790Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T13:12:49.752Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T13:12:50.709Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T13:12:51.666Z] 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. [2025-07-01T13:12:51.666Z] The best model improves the baseline by 14.52%. [2025-07-01T13:12:51.666Z] Top recommended movies for user id 72: [2025-07-01T13:12:51.666Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T13:12:51.666Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T13:12:51.666Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T13:12:51.666Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T13:12:51.666Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T13:12:51.666Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15708.435 ms) ====== [2025-07-01T13:12:51.666Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-07-01T13:12:51.666Z] GC before operation: completed in 127.095 ms, heap usage 105.305 MB -> 89.867 MB. [2025-07-01T13:12:53.636Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T13:12:56.666Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T13:12:58.635Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T13:13:00.599Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T13:13:02.562Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T13:13:03.518Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T13:13:05.482Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T13:13:06.440Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T13:13:07.406Z] 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. [2025-07-01T13:13:07.406Z] The best model improves the baseline by 14.52%. [2025-07-01T13:13:07.406Z] Top recommended movies for user id 72: [2025-07-01T13:13:07.406Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T13:13:07.406Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T13:13:07.406Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T13:13:07.406Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T13:13:07.406Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T13:13:07.406Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15449.560 ms) ====== [2025-07-01T13:13:07.406Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-07-01T13:13:07.406Z] GC before operation: completed in 129.493 ms, heap usage 286.134 MB -> 90.277 MB. [2025-07-01T13:13:10.285Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T13:13:12.255Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T13:13:14.222Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T13:13:16.187Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T13:13:17.144Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T13:13:19.126Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T13:13:20.085Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T13:13:21.043Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T13:13:22.002Z] 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. [2025-07-01T13:13:22.002Z] The best model improves the baseline by 14.52%. [2025-07-01T13:13:22.002Z] Top recommended movies for user id 72: [2025-07-01T13:13:22.002Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T13:13:22.002Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T13:13:22.002Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T13:13:22.002Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T13:13:22.002Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T13:13:22.002Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14585.795 ms) ====== [2025-07-01T13:13:22.002Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-07-01T13:13:22.002Z] GC before operation: completed in 141.803 ms, heap usage 158.390 MB -> 90.012 MB. [2025-07-01T13:13:23.966Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T13:13:27.007Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T13:13:28.976Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T13:13:30.940Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T13:13:32.902Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T13:13:33.858Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T13:13:35.823Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T13:13:36.778Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T13:13:36.778Z] 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. [2025-07-01T13:13:36.778Z] The best model improves the baseline by 14.52%. [2025-07-01T13:13:37.734Z] Top recommended movies for user id 72: [2025-07-01T13:13:37.734Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T13:13:37.734Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T13:13:37.734Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T13:13:37.734Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T13:13:37.734Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T13:13:37.734Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15202.949 ms) ====== [2025-07-01T13:13:37.734Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-07-01T13:13:37.734Z] GC before operation: completed in 130.844 ms, heap usage 96.724 MB -> 89.990 MB. [2025-07-01T13:13:39.697Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T13:13:41.658Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T13:13:43.621Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T13:13:46.655Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T13:13:47.618Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T13:13:49.581Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T13:13:50.538Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T13:13:52.501Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T13:13:52.501Z] 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. [2025-07-01T13:13:52.501Z] The best model improves the baseline by 14.52%. [2025-07-01T13:13:52.501Z] Top recommended movies for user id 72: [2025-07-01T13:13:52.501Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T13:13:52.501Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T13:13:52.501Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T13:13:52.501Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T13:13:52.501Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T13:13:52.501Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15159.879 ms) ====== [2025-07-01T13:13:52.501Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-07-01T13:13:52.501Z] GC before operation: completed in 154.019 ms, heap usage 362.664 MB -> 90.237 MB. [2025-07-01T13:13:55.534Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T13:13:57.515Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T13:13:59.476Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T13:14:02.509Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T13:14:03.465Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T13:14:05.501Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T13:14:06.460Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T13:14:07.442Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T13:14:08.403Z] 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. [2025-07-01T13:14:08.404Z] The best model improves the baseline by 14.52%. [2025-07-01T13:14:08.404Z] Top recommended movies for user id 72: [2025-07-01T13:14:08.404Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T13:14:08.404Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T13:14:08.404Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T13:14:08.404Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T13:14:08.404Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T13:14:08.404Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15494.202 ms) ====== [2025-07-01T13:14:08.404Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-07-01T13:14:08.404Z] GC before operation: completed in 132.470 ms, heap usage 286.563 MB -> 90.204 MB. [2025-07-01T13:14:11.131Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T13:14:13.094Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T13:14:15.088Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T13:14:17.090Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T13:14:19.049Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T13:14:20.005Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T13:14:21.968Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T13:14:22.946Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T13:14:22.946Z] 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. [2025-07-01T13:14:22.946Z] The best model improves the baseline by 14.52%. [2025-07-01T13:14:23.901Z] Top recommended movies for user id 72: [2025-07-01T13:14:23.901Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T13:14:23.901Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T13:14:23.901Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T13:14:23.901Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T13:14:23.901Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T13:14:23.901Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15154.243 ms) ====== [2025-07-01T13:14:23.901Z] ----------------------------------- [2025-07-01T13:14:23.901Z] renaissance-movie-lens_0_PASSED [2025-07-01T13:14:23.901Z] ----------------------------------- [2025-07-01T13:14:23.901Z] [2025-07-01T13:14:23.901Z] TEST TEARDOWN: [2025-07-01T13:14:23.901Z] Nothing to be done for teardown. [2025-07-01T13:14:23.901Z] renaissance-movie-lens_0 Finish Time: Tue Jul 1 13:14:23 2025 Epoch Time (ms): 1751375663498