[2025-08-28T21:14:07.413Z] Running test renaissance-movie-lens_0 ... [2025-08-28T21:14:07.413Z] =============================================== [2025-08-28T21:14:07.413Z] renaissance-movie-lens_0 Start Time: Thu Aug 28 21:14:07 2025 Epoch Time (ms): 1756415647165 [2025-08-28T21:14:07.413Z] variation: NoOptions [2025-08-28T21:14:07.413Z] JVM_OPTIONS: [2025-08-28T21:14:07.413Z] { \ [2025-08-28T21:14:07.413Z] echo ""; echo "TEST SETUP:"; \ [2025-08-28T21:14:07.413Z] echo "Nothing to be done for setup."; \ [2025-08-28T21:14:07.413Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17564134393968/renaissance-movie-lens_0"; \ [2025-08-28T21:14:07.413Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17564134393968/renaissance-movie-lens_0"; \ [2025-08-28T21:14:07.413Z] echo ""; echo "TESTING:"; \ [2025-08-28T21:14:07.413Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_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_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17564134393968/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-08-28T21:14:07.414Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17564134393968/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-08-28T21:14:07.414Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-08-28T21:14:07.414Z] echo "Nothing to be done for teardown."; \ [2025-08-28T21:14:07.414Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17564134393968/TestTargetResult"; [2025-08-28T21:14:07.414Z] [2025-08-28T21:14:07.414Z] TEST SETUP: [2025-08-28T21:14:07.414Z] Nothing to be done for setup. [2025-08-28T21:14:07.414Z] [2025-08-28T21:14:07.414Z] TESTING: [2025-08-28T21:14:20.808Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-08-28T21:14:41.857Z] 21:14:40.339 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. [2025-08-28T21:14:46.678Z] Got 100004 ratings from 671 users on 9066 movies. [2025-08-28T21:14:47.614Z] Training: 60056, validation: 20285, test: 19854 [2025-08-28T21:14:47.614Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-08-28T21:14:47.614Z] GC before operation: completed in 246.089 ms, heap usage 180.630 MB -> 74.650 MB. [2025-08-28T21:15:05.794Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-28T21:15:12.476Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-28T21:15:19.183Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-28T21:15:25.838Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-28T21:15:29.952Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-28T21:15:32.933Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-28T21:15:37.034Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-28T21:15:40.015Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-28T21:15:40.955Z] 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. [2025-08-28T21:15:40.955Z] The best model improves the baseline by 14.52%. [2025-08-28T21:15:41.891Z] Top recommended movies for user id 72: [2025-08-28T21:15:41.891Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-28T21:15:41.891Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-28T21:15:41.891Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-28T21:15:41.891Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-28T21:15:41.891Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-28T21:15:41.891Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (53600.989 ms) ====== [2025-08-28T21:15:41.891Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-08-28T21:15:41.891Z] GC before operation: completed in 356.548 ms, heap usage 153.208 MB -> 85.367 MB. [2025-08-28T21:15:48.532Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-28T21:15:53.843Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-28T21:16:00.479Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-28T21:16:05.793Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-28T21:16:08.776Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-28T21:16:12.609Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-28T21:16:15.597Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-28T21:16:19.704Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-28T21:16:19.704Z] 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. [2025-08-28T21:16:19.704Z] The best model improves the baseline by 14.52%. [2025-08-28T21:16:20.647Z] Top recommended movies for user id 72: [2025-08-28T21:16:20.647Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-28T21:16:20.647Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-28T21:16:20.647Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-28T21:16:20.647Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-28T21:16:20.647Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-28T21:16:20.647Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (38356.843 ms) ====== [2025-08-28T21:16:20.647Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-08-28T21:16:20.647Z] GC before operation: completed in 319.062 ms, heap usage 123.462 MB -> 87.447 MB. [2025-08-28T21:16:25.964Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-28T21:16:31.285Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-28T21:16:35.413Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-28T21:16:40.724Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-28T21:16:43.733Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-28T21:16:46.714Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-28T21:16:50.822Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-28T21:16:52.762Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-28T21:16:53.699Z] 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. [2025-08-28T21:16:53.699Z] The best model improves the baseline by 14.52%. [2025-08-28T21:16:53.699Z] Top recommended movies for user id 72: [2025-08-28T21:16:53.699Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-28T21:16:53.699Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-28T21:16:53.699Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-28T21:16:53.699Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-28T21:16:53.699Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-28T21:16:53.699Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (33218.593 ms) ====== [2025-08-28T21:16:53.699Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-08-28T21:16:53.699Z] GC before operation: completed in 287.878 ms, heap usage 112.306 MB -> 88.147 MB. [2025-08-28T21:16:59.015Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-28T21:17:04.420Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-28T21:17:08.524Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-28T21:17:13.846Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-28T21:17:16.830Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-28T21:17:19.873Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-28T21:17:22.854Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-28T21:17:26.014Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-28T21:17:26.014Z] 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. [2025-08-28T21:17:26.014Z] The best model improves the baseline by 14.52%. [2025-08-28T21:17:27.392Z] Top recommended movies for user id 72: [2025-08-28T21:17:27.392Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-28T21:17:27.392Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-28T21:17:27.392Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-28T21:17:27.392Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-28T21:17:27.392Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-28T21:17:27.392Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (32714.917 ms) ====== [2025-08-28T21:17:27.392Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-08-28T21:17:27.392Z] GC before operation: completed in 275.863 ms, heap usage 282.996 MB -> 88.635 MB. [2025-08-28T21:17:31.487Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-28T21:17:36.806Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-28T21:17:42.119Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-28T21:17:46.226Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-28T21:17:49.213Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-28T21:17:52.197Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-28T21:17:55.178Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-28T21:17:58.171Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-28T21:17:58.172Z] 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. [2025-08-28T21:17:58.172Z] The best model improves the baseline by 14.52%. [2025-08-28T21:17:58.172Z] Top recommended movies for user id 72: [2025-08-28T21:17:58.172Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-28T21:17:58.172Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-28T21:17:58.172Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-28T21:17:58.172Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-28T21:17:58.172Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-28T21:17:58.172Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (31503.351 ms) ====== [2025-08-28T21:17:58.172Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-08-28T21:17:59.109Z] GC before operation: completed in 279.161 ms, heap usage 163.388 MB -> 88.436 MB. [2025-08-28T21:18:04.420Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-28T21:18:08.533Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-28T21:18:13.852Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-28T21:18:18.011Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-28T21:18:19.944Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-28T21:18:22.928Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-28T21:18:25.914Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-28T21:18:28.896Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-28T21:18:28.896Z] 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. [2025-08-28T21:18:29.838Z] The best model improves the baseline by 14.52%. [2025-08-28T21:18:29.838Z] Top recommended movies for user id 72: [2025-08-28T21:18:29.838Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-28T21:18:29.838Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-28T21:18:29.838Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-28T21:18:29.838Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-28T21:18:29.838Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-28T21:18:29.838Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (30734.371 ms) ====== [2025-08-28T21:18:29.838Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-08-28T21:18:29.838Z] GC before operation: completed in 285.063 ms, heap usage 112.705 MB -> 88.671 MB. [2025-08-28T21:18:35.152Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-28T21:18:39.252Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-28T21:18:43.356Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-28T21:18:48.154Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-28T21:18:51.136Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-28T21:18:54.117Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-28T21:18:56.055Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-28T21:18:59.041Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-28T21:18:59.982Z] 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. [2025-08-28T21:18:59.982Z] The best model improves the baseline by 14.52%. [2025-08-28T21:18:59.982Z] Top recommended movies for user id 72: [2025-08-28T21:18:59.982Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-28T21:18:59.982Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-28T21:18:59.982Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-28T21:18:59.982Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-28T21:18:59.982Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-28T21:18:59.982Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (29981.235 ms) ====== [2025-08-28T21:18:59.982Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-08-28T21:18:59.982Z] GC before operation: completed in 320.865 ms, heap usage 194.432 MB -> 88.719 MB. [2025-08-28T21:19:05.295Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-28T21:19:09.410Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-28T21:19:13.514Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-28T21:19:18.895Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-28T21:19:21.875Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-28T21:19:24.861Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-28T21:19:27.847Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-28T21:19:30.824Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-28T21:19:30.824Z] 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. [2025-08-28T21:19:30.824Z] The best model improves the baseline by 14.52%. [2025-08-28T21:19:30.824Z] Top recommended movies for user id 72: [2025-08-28T21:19:30.824Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-28T21:19:30.824Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-28T21:19:30.824Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-28T21:19:30.824Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-28T21:19:30.824Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-28T21:19:30.824Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (30863.390 ms) ====== [2025-08-28T21:19:30.824Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-08-28T21:19:31.765Z] GC before operation: completed in 286.512 ms, heap usage 116.090 MB -> 88.844 MB. [2025-08-28T21:19:35.867Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-28T21:19:39.969Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-28T21:19:45.277Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-28T21:19:49.367Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-28T21:19:52.368Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-28T21:19:55.351Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-28T21:19:58.329Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-28T21:20:00.254Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-28T21:20:01.195Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-28T21:20:01.195Z] The best model improves the baseline by 14.52%. [2025-08-28T21:20:01.195Z] Top recommended movies for user id 72: [2025-08-28T21:20:01.195Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-28T21:20:01.195Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-28T21:20:01.195Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-28T21:20:01.195Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-28T21:20:01.195Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-28T21:20:01.195Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (29958.752 ms) ====== [2025-08-28T21:20:01.195Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-08-28T21:20:02.131Z] GC before operation: completed in 363.027 ms, heap usage 165.885 MB -> 88.801 MB. [2025-08-28T21:20:06.919Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-28T21:20:11.177Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-28T21:20:16.500Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-28T21:20:20.611Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-28T21:20:23.591Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-28T21:20:26.571Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-28T21:20:28.500Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-28T21:20:31.478Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-28T21:20:32.419Z] 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. [2025-08-28T21:20:32.419Z] The best model improves the baseline by 14.52%. [2025-08-28T21:20:32.419Z] Top recommended movies for user id 72: [2025-08-28T21:20:32.419Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-28T21:20:32.419Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-28T21:20:32.419Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-28T21:20:32.419Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-28T21:20:32.419Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-28T21:20:32.419Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (30815.130 ms) ====== [2025-08-28T21:20:32.419Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-08-28T21:20:32.419Z] GC before operation: completed in 317.870 ms, heap usage 132.447 MB -> 88.907 MB. [2025-08-28T21:20:37.769Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-28T21:20:41.879Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-28T21:20:45.974Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-28T21:20:51.284Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-28T21:20:53.208Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-28T21:20:56.199Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-28T21:20:59.195Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-28T21:21:02.182Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-28T21:21:03.123Z] 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. [2025-08-28T21:21:03.123Z] The best model improves the baseline by 14.52%. [2025-08-28T21:21:03.123Z] Top recommended movies for user id 72: [2025-08-28T21:21:03.123Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-28T21:21:03.123Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-28T21:21:03.123Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-28T21:21:03.123Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-28T21:21:03.123Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-28T21:21:03.123Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (30421.032 ms) ====== [2025-08-28T21:21:03.123Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-08-28T21:21:03.123Z] GC before operation: completed in 280.672 ms, heap usage 227.508 MB -> 88.743 MB. [2025-08-28T21:21:08.438Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-28T21:21:12.544Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-28T21:21:16.682Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-28T21:21:21.488Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-28T21:21:24.468Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-28T21:21:27.447Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-28T21:21:29.390Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-28T21:21:32.365Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-28T21:21:33.309Z] 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. [2025-08-28T21:21:33.309Z] The best model improves the baseline by 14.52%. [2025-08-28T21:21:33.309Z] Top recommended movies for user id 72: [2025-08-28T21:21:33.309Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-28T21:21:33.309Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-28T21:21:33.309Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-28T21:21:33.309Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-28T21:21:33.309Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-28T21:21:33.309Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (29633.920 ms) ====== [2025-08-28T21:21:33.309Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-08-28T21:21:33.309Z] GC before operation: completed in 358.873 ms, heap usage 333.964 MB -> 89.113 MB. [2025-08-28T21:21:38.619Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-28T21:21:42.727Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-28T21:21:48.034Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-28T21:21:52.148Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-28T21:21:55.152Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-28T21:21:59.309Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-28T21:22:03.471Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-28T21:22:07.647Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-28T21:22:07.647Z] 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. [2025-08-28T21:22:07.647Z] The best model improves the baseline by 14.52%. [2025-08-28T21:22:08.594Z] Top recommended movies for user id 72: [2025-08-28T21:22:08.594Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-28T21:22:08.594Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-28T21:22:08.594Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-28T21:22:08.594Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-28T21:22:08.594Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-28T21:22:08.594Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (34980.936 ms) ====== [2025-08-28T21:22:08.594Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-08-28T21:22:08.594Z] GC before operation: completed in 409.901 ms, heap usage 163.844 MB -> 89.022 MB. [2025-08-28T21:22:15.269Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-28T21:22:22.375Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-28T21:22:28.680Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-28T21:22:34.002Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-28T21:22:35.939Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-28T21:22:38.940Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-28T21:22:41.913Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-28T21:22:44.900Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-28T21:22:44.900Z] 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. [2025-08-28T21:22:44.900Z] The best model improves the baseline by 14.52%. [2025-08-28T21:22:45.847Z] Top recommended movies for user id 72: [2025-08-28T21:22:45.847Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-28T21:22:45.847Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-28T21:22:45.847Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-28T21:22:45.847Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-28T21:22:45.847Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-28T21:22:45.847Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (36519.043 ms) ====== [2025-08-28T21:22:45.847Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-08-28T21:22:45.847Z] GC before operation: completed in 298.484 ms, heap usage 225.875 MB -> 88.858 MB. [2025-08-28T21:22:49.954Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-28T21:22:55.265Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-28T21:22:59.385Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-28T21:23:03.505Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-28T21:23:06.488Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-28T21:23:09.470Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-28T21:23:12.503Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-28T21:23:15.666Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-28T21:23:15.666Z] 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. [2025-08-28T21:23:15.666Z] The best model improves the baseline by 14.52%. [2025-08-28T21:23:15.666Z] Top recommended movies for user id 72: [2025-08-28T21:23:15.666Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-28T21:23:15.667Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-28T21:23:15.667Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-28T21:23:15.667Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-28T21:23:15.667Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-28T21:23:15.667Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (30105.364 ms) ====== [2025-08-28T21:23:15.667Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-08-28T21:23:15.667Z] GC before operation: completed in 310.573 ms, heap usage 276.480 MB -> 89.202 MB. [2025-08-28T21:23:20.995Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-28T21:23:25.090Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-28T21:23:30.564Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-28T21:23:34.660Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-28T21:23:37.640Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-28T21:23:40.666Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-28T21:23:42.604Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-28T21:23:46.034Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-28T21:23:46.034Z] 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. [2025-08-28T21:23:46.034Z] The best model improves the baseline by 14.52%. [2025-08-28T21:23:46.034Z] Top recommended movies for user id 72: [2025-08-28T21:23:46.034Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-28T21:23:46.034Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-28T21:23:46.034Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-28T21:23:46.034Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-28T21:23:46.034Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-28T21:23:46.034Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (30208.780 ms) ====== [2025-08-28T21:23:46.034Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-08-28T21:23:46.974Z] GC before operation: completed in 310.439 ms, heap usage 311.629 MB -> 89.087 MB. [2025-08-28T21:23:51.074Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-28T21:23:55.175Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-28T21:24:00.485Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-28T21:24:04.598Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-28T21:24:07.585Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-28T21:24:10.571Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-28T21:24:13.550Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-28T21:24:16.558Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-28T21:24:17.499Z] 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. [2025-08-28T21:24:17.499Z] The best model improves the baseline by 14.52%. [2025-08-28T21:24:17.499Z] Top recommended movies for user id 72: [2025-08-28T21:24:17.499Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-28T21:24:17.499Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-28T21:24:17.499Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-28T21:24:17.499Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-28T21:24:17.499Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-28T21:24:17.499Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (30789.487 ms) ====== [2025-08-28T21:24:17.499Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-08-28T21:24:17.499Z] GC before operation: completed in 335.817 ms, heap usage 252.993 MB -> 89.084 MB. [2025-08-28T21:24:22.818Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-28T21:24:26.921Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-28T21:24:32.400Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-28T21:24:36.496Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-28T21:24:39.472Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-28T21:24:42.470Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-28T21:24:45.453Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-28T21:24:48.488Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-28T21:24:48.488Z] 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. [2025-08-28T21:24:48.488Z] The best model improves the baseline by 14.52%. [2025-08-28T21:24:49.437Z] Top recommended movies for user id 72: [2025-08-28T21:24:49.437Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-28T21:24:49.437Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-28T21:24:49.437Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-28T21:24:49.437Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-28T21:24:49.437Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-28T21:24:49.437Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (31314.533 ms) ====== [2025-08-28T21:24:49.437Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-08-28T21:24:49.437Z] GC before operation: completed in 300.899 ms, heap usage 181.117 MB -> 88.862 MB. [2025-08-28T21:24:54.257Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-28T21:24:58.386Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-28T21:25:03.725Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-28T21:25:07.947Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-28T21:25:10.940Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-28T21:25:13.921Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-28T21:25:15.894Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-28T21:25:18.866Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-28T21:25:18.866Z] 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. [2025-08-28T21:25:19.808Z] The best model improves the baseline by 14.52%. [2025-08-28T21:25:19.808Z] Top recommended movies for user id 72: [2025-08-28T21:25:19.808Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-28T21:25:19.808Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-28T21:25:19.808Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-28T21:25:19.808Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-28T21:25:19.808Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-28T21:25:19.808Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (30176.255 ms) ====== [2025-08-28T21:25:19.808Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-08-28T21:25:19.808Z] GC before operation: completed in 294.603 ms, heap usage 376.074 MB -> 89.233 MB. [2025-08-28T21:25:25.129Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-28T21:25:29.263Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-28T21:25:33.366Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-28T21:25:38.689Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-28T21:25:41.684Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-28T21:25:44.672Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-28T21:25:46.608Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-28T21:25:49.600Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-28T21:25:50.542Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-28T21:25:50.542Z] The best model improves the baseline by 14.52%. [2025-08-28T21:25:50.542Z] Top recommended movies for user id 72: [2025-08-28T21:25:50.542Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-28T21:25:50.542Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-28T21:25:50.542Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-28T21:25:50.542Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-28T21:25:50.542Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-28T21:25:50.542Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (30616.804 ms) ====== [2025-08-28T21:25:51.482Z] ----------------------------------- [2025-08-28T21:25:51.482Z] renaissance-movie-lens_0_PASSED [2025-08-28T21:25:51.482Z] ----------------------------------- [2025-08-28T21:25:51.482Z] [2025-08-28T21:25:51.482Z] TEST TEARDOWN: [2025-08-28T21:25:51.482Z] Nothing to be done for teardown. [2025-08-28T21:25:52.427Z] renaissance-movie-lens_0 Finish Time: Thu Aug 28 21:25:51 2025 Epoch Time (ms): 1756416351413