[2026-01-21T22:06:57.660Z] Running test renaissance-movie-lens_0 ... [2026-01-21T22:06:57.660Z] =============================================== [2026-01-21T22:06:57.660Z] renaissance-movie-lens_0 Start Time: Wed Jan 21 17:06:57 2026 Epoch Time (ms): 1769033217306 [2026-01-21T22:06:57.660Z] variation: NoOptions [2026-01-21T22:06:57.660Z] JVM_OPTIONS: [2026-01-21T22:06:57.660Z] { \ [2026-01-21T22:06:57.660Z] echo ""; echo "TEST SETUP:"; \ [2026-01-21T22:06:57.660Z] echo "Nothing to be done for setup."; \ [2026-01-21T22:06:57.660Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_1769029854654/renaissance-movie-lens_0"; \ [2026-01-21T22:06:57.660Z] cd "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_1769029854654/renaissance-movie-lens_0"; \ [2026-01-21T22:06:57.660Z] echo ""; echo "TESTING:"; \ [2026-01-21T22:06:57.660Z] "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//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 "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_1769029854654/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-21T22:06:57.660Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_1769029854654/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-21T22:06:57.660Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-21T22:06:57.660Z] echo "Nothing to be done for teardown."; \ [2026-01-21T22:06:57.660Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_1769029854654/TestTargetResult"; [2026-01-21T22:06:57.660Z] [2026-01-21T22:06:57.660Z] TEST SETUP: [2026-01-21T22:06:57.660Z] Nothing to be done for setup. [2026-01-21T22:06:57.660Z] [2026-01-21T22:06:57.660Z] TESTING: [2026-01-21T22:07:19.647Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-21T22:07:45.974Z] 17:07:41.903 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. [2026-01-21T22:07:48.408Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-21T22:07:50.268Z] Training: 60056, validation: 20285, test: 19854 [2026-01-21T22:07:50.268Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-21T22:07:51.436Z] GC before operation: completed in 1022.436 ms, heap usage 524.734 MB -> 74.886 MB. [2026-01-21T22:08:23.338Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T22:08:45.067Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T22:09:04.594Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T22:09:27.578Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T22:09:39.093Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T22:09:49.105Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T22:09:57.212Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T22:10:07.078Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T22:10:07.078Z] 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. [2026-01-21T22:10:07.744Z] The best model improves the baseline by 14.52%. [2026-01-21T22:10:09.016Z] Top recommended movies for user id 72: [2026-01-21T22:10:09.016Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T22:10:09.016Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T22:10:09.016Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T22:10:09.016Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T22:10:09.016Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T22:10:09.016Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (137735.441 ms) ====== [2026-01-21T22:10:09.016Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-21T22:10:09.470Z] GC before operation: completed in 413.426 ms, heap usage 253.555 MB -> 87.178 MB. [2026-01-21T22:10:27.955Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T22:10:46.799Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T22:11:06.063Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T22:11:19.831Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T22:11:29.290Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T22:11:37.204Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T22:11:46.664Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T22:11:58.800Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T22:11:59.365Z] 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. [2026-01-21T22:12:00.017Z] The best model improves the baseline by 14.52%. [2026-01-21T22:12:01.208Z] Top recommended movies for user id 72: [2026-01-21T22:12:01.208Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T22:12:01.208Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T22:12:01.208Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T22:12:01.208Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T22:12:01.208Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T22:12:01.208Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (111737.881 ms) ====== [2026-01-21T22:12:01.208Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-21T22:12:01.727Z] GC before operation: completed in 425.510 ms, heap usage 376.314 MB -> 87.551 MB. [2026-01-21T22:12:20.574Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T22:12:39.225Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T22:12:54.743Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T22:13:07.921Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T22:13:17.137Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T22:13:30.978Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T22:13:39.160Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T22:13:48.164Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T22:13:48.164Z] 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. [2026-01-21T22:13:48.164Z] The best model improves the baseline by 14.52%. [2026-01-21T22:13:49.776Z] Top recommended movies for user id 72: [2026-01-21T22:13:49.776Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T22:13:49.776Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T22:13:49.776Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T22:13:49.776Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T22:13:49.776Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T22:13:49.776Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (108165.737 ms) ====== [2026-01-21T22:13:49.776Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-21T22:13:50.287Z] GC before operation: completed in 451.738 ms, heap usage 223.211 MB -> 90.250 MB. [2026-01-21T22:14:09.220Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T22:14:25.037Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T22:14:38.443Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T22:14:51.532Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T22:15:00.833Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T22:15:10.829Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T22:15:27.540Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T22:15:35.645Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T22:15:36.173Z] 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. [2026-01-21T22:15:36.635Z] The best model improves the baseline by 14.52%. [2026-01-21T22:15:37.713Z] Top recommended movies for user id 72: [2026-01-21T22:15:37.713Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T22:15:37.713Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T22:15:37.713Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T22:15:37.713Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T22:15:37.713Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T22:15:37.713Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (107334.247 ms) ====== [2026-01-21T22:15:37.713Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-21T22:15:37.713Z] GC before operation: completed in 392.470 ms, heap usage 509.525 MB -> 88.923 MB. [2026-01-21T22:15:56.253Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T22:16:18.285Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T22:16:34.608Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T22:16:48.317Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T22:16:57.767Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T22:17:07.275Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T22:17:16.862Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T22:17:23.293Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T22:17:25.132Z] 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. [2026-01-21T22:17:25.588Z] The best model improves the baseline by 14.52%. [2026-01-21T22:17:25.588Z] Top recommended movies for user id 72: [2026-01-21T22:17:25.588Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T22:17:25.588Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T22:17:25.588Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T22:17:25.588Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T22:17:25.588Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T22:17:25.588Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (107924.064 ms) ====== [2026-01-21T22:17:25.588Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-21T22:17:26.075Z] GC before operation: completed in 341.892 ms, heap usage 317.662 MB -> 88.664 MB. [2026-01-21T22:17:44.464Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T22:17:57.923Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T22:18:11.711Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T22:18:28.212Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T22:18:40.177Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T22:18:47.832Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T22:18:55.877Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T22:19:05.440Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T22:19:06.074Z] 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. [2026-01-21T22:19:06.074Z] The best model improves the baseline by 14.52%. [2026-01-21T22:19:07.088Z] Top recommended movies for user id 72: [2026-01-21T22:19:07.088Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T22:19:07.088Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T22:19:07.088Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T22:19:07.088Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T22:19:07.088Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T22:19:07.088Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (100831.645 ms) ====== [2026-01-21T22:19:07.088Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-21T22:19:07.576Z] GC before operation: completed in 364.619 ms, heap usage 581.229 MB -> 92.426 MB. [2026-01-21T22:19:26.473Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T22:19:42.522Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T22:19:58.557Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T22:20:12.200Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T22:20:21.417Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T22:20:27.820Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T22:20:38.043Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T22:20:46.362Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T22:20:46.966Z] 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. [2026-01-21T22:20:46.966Z] The best model improves the baseline by 14.52%. [2026-01-21T22:20:46.966Z] Top recommended movies for user id 72: [2026-01-21T22:20:46.966Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T22:20:46.966Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T22:20:46.966Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T22:20:46.966Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T22:20:46.966Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T22:20:46.966Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (99820.426 ms) ====== [2026-01-21T22:20:46.966Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-21T22:20:47.560Z] GC before operation: completed in 334.263 ms, heap usage 793.430 MB -> 92.885 MB. [2026-01-21T22:21:06.246Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T22:21:20.025Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T22:21:35.732Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T22:21:54.727Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T22:22:02.528Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T22:22:12.132Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T22:22:18.511Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T22:22:28.314Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T22:22:28.854Z] 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. [2026-01-21T22:22:28.854Z] The best model improves the baseline by 14.52%. [2026-01-21T22:22:29.372Z] Top recommended movies for user id 72: [2026-01-21T22:22:29.372Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T22:22:29.372Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T22:22:29.372Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T22:22:29.372Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T22:22:29.372Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T22:22:29.372Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (101751.644 ms) ====== [2026-01-21T22:22:29.372Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-21T22:22:29.372Z] GC before operation: completed in 338.022 ms, heap usage 1.149 GB -> 94.506 MB. [2026-01-21T22:22:45.351Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T22:23:01.485Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T22:23:17.649Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T22:23:31.220Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T22:23:44.538Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T22:23:54.046Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T22:24:05.226Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T22:24:12.963Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T22:24:13.561Z] 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. [2026-01-21T22:24:14.363Z] The best model improves the baseline by 14.52%. [2026-01-21T22:24:15.422Z] Top recommended movies for user id 72: [2026-01-21T22:24:15.422Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T22:24:15.422Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T22:24:15.422Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T22:24:15.422Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T22:24:15.422Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T22:24:15.422Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (105798.123 ms) ====== [2026-01-21T22:24:15.422Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-21T22:24:15.858Z] GC before operation: completed in 342.055 ms, heap usage 268.061 MB -> 88.689 MB. [2026-01-21T22:24:31.347Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T22:24:47.432Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T22:25:06.820Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T22:25:20.385Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T22:25:29.461Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T22:25:40.647Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T22:25:50.511Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T22:25:59.860Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T22:26:00.362Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-21T22:26:00.362Z] The best model improves the baseline by 14.52%. [2026-01-21T22:26:01.519Z] Top recommended movies for user id 72: [2026-01-21T22:26:01.519Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T22:26:01.519Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T22:26:01.519Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T22:26:01.519Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T22:26:01.519Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T22:26:01.519Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (105431.774 ms) ====== [2026-01-21T22:26:01.519Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-21T22:26:02.162Z] GC before operation: completed in 777.296 ms, heap usage 153.761 MB -> 88.817 MB. [2026-01-21T22:26:17.825Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T22:26:33.973Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T22:26:50.199Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T22:27:06.824Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T22:27:13.446Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T22:27:24.768Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T22:27:34.341Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T22:27:45.042Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T22:27:45.493Z] 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. [2026-01-21T22:27:46.074Z] The best model improves the baseline by 14.52%. [2026-01-21T22:27:46.074Z] Top recommended movies for user id 72: [2026-01-21T22:27:46.074Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T22:27:46.074Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T22:27:46.074Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T22:27:46.074Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T22:27:46.074Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T22:27:46.074Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (104031.945 ms) ====== [2026-01-21T22:27:46.074Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-21T22:27:46.074Z] GC before operation: completed in 245.801 ms, heap usage 422.637 MB -> 88.986 MB. [2026-01-21T22:28:04.653Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T22:28:20.616Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T22:28:37.281Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T22:28:53.151Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T22:29:00.672Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T22:29:08.402Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T22:29:19.674Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T22:29:27.011Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T22:29:27.723Z] 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. [2026-01-21T22:29:27.723Z] The best model improves the baseline by 14.52%. [2026-01-21T22:29:28.856Z] Top recommended movies for user id 72: [2026-01-21T22:29:28.856Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T22:29:28.856Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T22:29:28.856Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T22:29:28.856Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T22:29:28.856Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T22:29:28.856Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (102245.115 ms) ====== [2026-01-21T22:29:28.856Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-21T22:29:29.434Z] GC before operation: completed in 771.933 ms, heap usage 516.538 MB -> 89.189 MB. [2026-01-21T22:29:48.906Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T22:30:07.821Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T22:30:21.288Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T22:30:40.055Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T22:30:45.019Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T22:30:56.228Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T22:31:04.713Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T22:31:14.019Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T22:31:15.141Z] 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. [2026-01-21T22:31:15.141Z] The best model improves the baseline by 14.52%. [2026-01-21T22:31:16.413Z] Top recommended movies for user id 72: [2026-01-21T22:31:16.413Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T22:31:16.413Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T22:31:16.413Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T22:31:16.413Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T22:31:16.413Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T22:31:16.413Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (106885.528 ms) ====== [2026-01-21T22:31:16.413Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-21T22:31:16.413Z] GC before operation: completed in 452.660 ms, heap usage 889.157 MB -> 93.690 MB. [2026-01-21T22:31:35.381Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T22:31:54.647Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T22:32:05.901Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T22:32:22.865Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T22:32:31.016Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T22:32:40.486Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T22:32:49.984Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T22:32:58.091Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T22:32:59.429Z] 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. [2026-01-21T22:32:59.429Z] The best model improves the baseline by 14.52%. [2026-01-21T22:33:00.020Z] Top recommended movies for user id 72: [2026-01-21T22:33:00.020Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T22:33:00.020Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T22:33:00.020Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T22:33:00.020Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T22:33:00.020Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T22:33:00.020Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (103367.091 ms) ====== [2026-01-21T22:33:00.020Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-21T22:33:00.491Z] GC before operation: completed in 389.915 ms, heap usage 875.212 MB -> 93.588 MB. [2026-01-21T22:33:19.940Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T22:33:33.853Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T22:33:50.472Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T22:34:01.985Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T22:34:17.714Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T22:34:24.399Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T22:34:32.194Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T22:34:39.003Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T22:34:40.891Z] 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. [2026-01-21T22:34:40.891Z] The best model improves the baseline by 14.52%. [2026-01-21T22:34:42.940Z] Top recommended movies for user id 72: [2026-01-21T22:34:42.940Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T22:34:42.940Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T22:34:42.940Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T22:34:42.940Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T22:34:42.940Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T22:34:42.940Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (102756.808 ms) ====== [2026-01-21T22:34:42.940Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-21T22:34:43.448Z] GC before operation: completed in 292.198 ms, heap usage 168.759 MB -> 96.953 MB. [2026-01-21T22:35:02.875Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T22:35:16.554Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T22:35:33.005Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T22:35:44.202Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T22:35:51.747Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T22:36:00.953Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T22:36:08.881Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T22:36:15.535Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T22:36:15.535Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-21T22:36:15.535Z] The best model improves the baseline by 14.52%. [2026-01-21T22:36:16.993Z] Top recommended movies for user id 72: [2026-01-21T22:36:16.993Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T22:36:16.993Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T22:36:16.993Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T22:36:16.993Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T22:36:16.993Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T22:36:16.993Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (93306.149 ms) ====== [2026-01-21T22:36:16.993Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-21T22:36:17.568Z] GC before operation: completed in 533.508 ms, heap usage 898.691 MB -> 93.477 MB. [2026-01-21T22:36:37.346Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T22:36:51.466Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T22:37:04.681Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T22:37:20.223Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T22:37:25.231Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T22:37:39.112Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T22:37:46.852Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T22:37:56.402Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T22:37:57.771Z] 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. [2026-01-21T22:37:57.771Z] The best model improves the baseline by 14.52%. [2026-01-21T22:37:59.445Z] Top recommended movies for user id 72: [2026-01-21T22:37:59.445Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T22:37:59.445Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T22:37:59.445Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T22:37:59.445Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T22:37:59.445Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T22:37:59.445Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (101836.640 ms) ====== [2026-01-21T22:37:59.445Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-21T22:37:59.445Z] GC before operation: completed in 365.146 ms, heap usage 1.275 GB -> 98.646 MB. [2026-01-21T22:38:19.304Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T22:38:30.712Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T22:38:43.934Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T22:39:02.059Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T22:39:08.388Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T22:39:18.130Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T22:39:25.758Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T22:39:33.260Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T22:39:34.423Z] 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. [2026-01-21T22:39:34.423Z] The best model improves the baseline by 14.52%. [2026-01-21T22:39:34.870Z] Top recommended movies for user id 72: [2026-01-21T22:39:34.870Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T22:39:34.870Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T22:39:34.870Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T22:39:34.870Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T22:39:34.870Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T22:39:34.870Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (95294.014 ms) ====== [2026-01-21T22:39:34.870Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-21T22:39:35.367Z] GC before operation: completed in 381.160 ms, heap usage 1.400 GB -> 94.610 MB. [2026-01-21T22:39:51.282Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T22:40:04.589Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T22:40:18.316Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T22:40:31.653Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T22:40:39.450Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T22:40:46.946Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T22:40:54.663Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T22:41:07.663Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T22:41:07.664Z] 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. [2026-01-21T22:41:07.664Z] The best model improves the baseline by 14.52%. [2026-01-21T22:41:08.353Z] Top recommended movies for user id 72: [2026-01-21T22:41:08.353Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T22:41:08.353Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T22:41:08.353Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T22:41:08.353Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T22:41:08.353Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T22:41:08.353Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (92902.378 ms) ====== [2026-01-21T22:41:08.353Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-21T22:41:08.844Z] GC before operation: completed in 689.362 ms, heap usage 477.740 MB -> 89.360 MB. [2026-01-21T22:41:24.198Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T22:41:40.488Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T22:41:53.543Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T22:42:06.462Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T22:42:13.137Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T22:42:22.141Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T22:42:30.443Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T22:42:40.018Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T22:42:40.532Z] 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. [2026-01-21T22:42:40.532Z] The best model improves the baseline by 14.52%. [2026-01-21T22:42:41.006Z] Top recommended movies for user id 72: [2026-01-21T22:42:41.006Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T22:42:41.006Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T22:42:41.006Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T22:42:41.006Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T22:42:41.006Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T22:42:41.006Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (92176.701 ms) ====== [2026-01-21T22:42:48.292Z] ----------------------------------- [2026-01-21T22:42:48.292Z] renaissance-movie-lens_0_PASSED [2026-01-21T22:42:48.292Z] ----------------------------------- [2026-01-21T22:42:48.292Z] [2026-01-21T22:42:48.292Z] TEST TEARDOWN: [2026-01-21T22:42:48.292Z] Nothing to be done for teardown. [2026-01-21T22:42:48.292Z] renaissance-movie-lens_0 Finish Time: Wed Jan 21 17:42:48 2026 Epoch Time (ms): 1769035368219