[2026-01-10T05:11:53.173Z] Running test renaissance-movie-lens_0 ... [2026-01-10T05:11:53.173Z] =============================================== [2026-01-10T05:11:53.173Z] renaissance-movie-lens_0 Start Time: Sat Jan 10 05:11:52 2026 Epoch Time (ms): 1768021912546 [2026-01-10T05:11:53.173Z] variation: NoOptions [2026-01-10T05:11:53.173Z] JVM_OPTIONS: [2026-01-10T05:11:53.173Z] { \ [2026-01-10T05:11:53.173Z] echo ""; echo "TEST SETUP:"; \ [2026-01-10T05:11:53.173Z] echo "Nothing to be done for setup."; \ [2026-01-10T05:11:53.173Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17680194283402/renaissance-movie-lens_0"; \ [2026-01-10T05:11:53.173Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17680194283402/renaissance-movie-lens_0"; \ [2026-01-10T05:11:53.173Z] echo ""; echo "TESTING:"; \ [2026-01-10T05:11:53.173Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_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_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17680194283402/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-10T05:11:53.173Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17680194283402/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-10T05:11:53.173Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-10T05:11:53.173Z] echo "Nothing to be done for teardown."; \ [2026-01-10T05:11:53.173Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17680194283402/TestTargetResult"; [2026-01-10T05:11:53.173Z] [2026-01-10T05:11:53.173Z] TEST SETUP: [2026-01-10T05:11:53.173Z] Nothing to be done for setup. [2026-01-10T05:11:53.173Z] [2026-01-10T05:11:53.173Z] TESTING: [2026-01-10T05:11:58.010Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-01-10T05:12:06.989Z] 05:12:05.642 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-01-10T05:12:09.406Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-10T05:12:09.747Z] Training: 60056, validation: 20285, test: 19854 [2026-01-10T05:12:09.747Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-10T05:12:10.084Z] GC before operation: completed in 203.831 ms, heap usage 278.092 MB -> 75.255 MB. [2026-01-10T05:12:19.069Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:12:23.897Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:12:28.718Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:12:32.575Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:12:35.570Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:12:37.259Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:12:40.263Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:12:41.969Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:12:41.969Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:12:42.305Z] The best model improves the baseline by 14.34%. [2026-01-10T05:12:42.306Z] Top recommended movies for user id 72: [2026-01-10T05:12:42.306Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:12:42.306Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:12:42.306Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:12:42.306Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:12:42.306Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:12:42.306Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (32333.512 ms) ====== [2026-01-10T05:12:42.306Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-10T05:12:42.641Z] GC before operation: completed in 150.144 ms, heap usage 402.710 MB -> 94.876 MB. [2026-01-10T05:12:45.677Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:12:48.680Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:12:51.690Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:12:54.214Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:12:55.915Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:13:00.302Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:13:00.302Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:13:01.026Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:13:01.363Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:13:01.363Z] The best model improves the baseline by 14.34%. [2026-01-10T05:13:01.363Z] Top recommended movies for user id 72: [2026-01-10T05:13:01.363Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:13:01.363Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:13:01.363Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:13:01.363Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:13:01.363Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:13:01.363Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18921.501 ms) ====== [2026-01-10T05:13:01.363Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-10T05:13:01.698Z] GC before operation: completed in 141.499 ms, heap usage 150.493 MB -> 87.363 MB. [2026-01-10T05:13:04.695Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:13:06.989Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:13:10.073Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:13:12.365Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:13:14.050Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:13:15.736Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:13:17.418Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:13:19.125Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:13:19.460Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:13:19.460Z] The best model improves the baseline by 14.34%. [2026-01-10T05:13:19.460Z] Top recommended movies for user id 72: [2026-01-10T05:13:19.460Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:13:19.460Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:13:19.460Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:13:19.460Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:13:19.460Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:13:19.460Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17913.793 ms) ====== [2026-01-10T05:13:19.460Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-10T05:13:19.796Z] GC before operation: completed in 156.339 ms, heap usage 601.972 MB -> 91.935 MB. [2026-01-10T05:13:22.083Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:13:25.086Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:13:27.385Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:13:29.672Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:13:31.362Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:13:33.048Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:13:34.748Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:13:35.918Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:13:36.253Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:13:36.253Z] The best model improves the baseline by 14.34%. [2026-01-10T05:13:36.594Z] Top recommended movies for user id 72: [2026-01-10T05:13:36.594Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:13:36.594Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:13:36.594Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:13:36.594Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:13:36.594Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:13:36.594Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16815.540 ms) ====== [2026-01-10T05:13:36.594Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-10T05:13:36.594Z] GC before operation: completed in 142.447 ms, heap usage 401.956 MB -> 88.781 MB. [2026-01-10T05:13:39.594Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:13:41.887Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:13:44.181Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:13:46.470Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:13:48.155Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:13:49.847Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:13:51.533Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:13:52.708Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:13:53.046Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:13:53.046Z] The best model improves the baseline by 14.34%. [2026-01-10T05:13:53.384Z] Top recommended movies for user id 72: [2026-01-10T05:13:53.384Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:13:53.384Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:13:53.384Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:13:53.384Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:13:53.384Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:13:53.384Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16639.759 ms) ====== [2026-01-10T05:13:53.384Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-10T05:13:53.384Z] GC before operation: completed in 146.079 ms, heap usage 342.073 MB -> 88.557 MB. [2026-01-10T05:13:55.668Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:13:58.724Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:14:01.016Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:14:03.308Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:14:05.005Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:14:06.694Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:14:07.961Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:14:09.650Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:14:09.650Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:14:09.651Z] The best model improves the baseline by 14.34%. [2026-01-10T05:14:09.990Z] Top recommended movies for user id 72: [2026-01-10T05:14:09.990Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:14:09.990Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:14:09.990Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:14:09.990Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:14:09.990Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:14:09.990Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16449.661 ms) ====== [2026-01-10T05:14:09.990Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-10T05:14:09.990Z] GC before operation: completed in 140.680 ms, heap usage 409.160 MB -> 89.099 MB. [2026-01-10T05:14:12.279Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:14:14.570Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:14:17.567Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:14:19.863Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:14:21.554Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:14:22.800Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:14:25.106Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:14:26.281Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:14:26.620Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:14:26.620Z] The best model improves the baseline by 14.34%. [2026-01-10T05:14:26.620Z] Top recommended movies for user id 72: [2026-01-10T05:14:26.620Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:14:26.620Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:14:26.620Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:14:26.620Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:14:26.620Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:14:26.620Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16680.061 ms) ====== [2026-01-10T05:14:26.620Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-10T05:14:26.954Z] GC before operation: completed in 140.706 ms, heap usage 336.048 MB -> 88.889 MB. [2026-01-10T05:14:29.246Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:14:31.532Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:14:34.530Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:14:36.216Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:14:37.898Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:14:39.585Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:14:41.271Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:14:42.498Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:14:42.834Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:14:42.834Z] The best model improves the baseline by 14.34%. [2026-01-10T05:14:42.834Z] Top recommended movies for user id 72: [2026-01-10T05:14:42.834Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:14:42.834Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:14:42.834Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:14:42.834Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:14:42.834Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:14:42.834Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (16041.650 ms) ====== [2026-01-10T05:14:42.834Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-10T05:14:43.174Z] GC before operation: completed in 143.671 ms, heap usage 311.458 MB -> 89.184 MB. [2026-01-10T05:14:45.457Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:14:47.890Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:14:50.175Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:14:53.166Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:14:54.849Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:14:56.015Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:14:57.700Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:14:58.873Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:14:59.209Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:14:59.209Z] The best model improves the baseline by 14.34%. [2026-01-10T05:14:59.548Z] Top recommended movies for user id 72: [2026-01-10T05:14:59.548Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:14:59.548Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:14:59.548Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:14:59.548Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:14:59.548Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:14:59.548Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (16409.090 ms) ====== [2026-01-10T05:14:59.548Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-10T05:14:59.548Z] GC before operation: completed in 141.853 ms, heap usage 312.715 MB -> 88.994 MB. [2026-01-10T05:15:02.548Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:15:04.838Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:15:07.133Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:15:09.432Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:15:11.189Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:15:12.359Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:15:14.050Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:15:15.739Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:15:15.739Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:15:15.739Z] The best model improves the baseline by 14.34%. [2026-01-10T05:15:15.739Z] Top recommended movies for user id 72: [2026-01-10T05:15:15.739Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:15:15.739Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:15:15.739Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:15:15.739Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:15:15.739Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:15:15.739Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (16253.715 ms) ====== [2026-01-10T05:15:15.739Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-10T05:15:16.077Z] GC before operation: completed in 139.249 ms, heap usage 262.093 MB -> 89.118 MB. [2026-01-10T05:15:18.373Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:15:20.672Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:15:23.674Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:15:25.361Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:15:27.049Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:15:28.218Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:15:29.902Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:15:31.607Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:15:31.607Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:15:31.607Z] The best model improves the baseline by 14.34%. [2026-01-10T05:15:31.607Z] Top recommended movies for user id 72: [2026-01-10T05:15:31.607Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:15:31.607Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:15:31.607Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:15:31.608Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:15:31.608Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:15:31.608Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15706.048 ms) ====== [2026-01-10T05:15:31.608Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-10T05:15:31.946Z] GC before operation: completed in 144.719 ms, heap usage 397.135 MB -> 89.085 MB. [2026-01-10T05:15:34.321Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:15:36.612Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:15:38.899Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:15:41.191Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:15:42.873Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:15:44.556Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:15:45.725Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:15:47.410Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:15:47.410Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:15:47.410Z] The best model improves the baseline by 14.34%. [2026-01-10T05:15:47.747Z] Top recommended movies for user id 72: [2026-01-10T05:15:47.747Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:15:47.747Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:15:47.747Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:15:47.747Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:15:47.747Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:15:47.747Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15711.985 ms) ====== [2026-01-10T05:15:47.747Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-10T05:15:47.747Z] GC before operation: completed in 141.880 ms, heap usage 419.178 MB -> 89.356 MB. [2026-01-10T05:15:50.041Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:15:52.327Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:15:55.324Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:15:57.613Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:15:58.792Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:16:00.475Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:16:01.641Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:16:03.323Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:16:03.323Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:16:03.323Z] The best model improves the baseline by 14.34%. [2026-01-10T05:16:03.659Z] Top recommended movies for user id 72: [2026-01-10T05:16:03.659Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:16:03.659Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:16:03.659Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:16:03.659Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:16:03.659Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:16:03.659Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15821.339 ms) ====== [2026-01-10T05:16:03.659Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-10T05:16:03.659Z] GC before operation: completed in 140.221 ms, heap usage 425.463 MB -> 89.434 MB. [2026-01-10T05:16:05.945Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:16:08.232Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:16:11.229Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:16:12.922Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:16:14.610Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:16:15.781Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:16:17.468Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:16:18.638Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:16:18.974Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:16:18.974Z] The best model improves the baseline by 14.34%. [2026-01-10T05:16:19.313Z] Top recommended movies for user id 72: [2026-01-10T05:16:19.313Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:16:19.313Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:16:19.313Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:16:19.313Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:16:19.313Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:16:19.313Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15534.212 ms) ====== [2026-01-10T05:16:19.313Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-10T05:16:19.313Z] GC before operation: completed in 139.917 ms, heap usage 124.536 MB -> 88.827 MB. [2026-01-10T05:16:21.658Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:16:24.027Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:16:27.023Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:16:28.706Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:16:30.396Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:16:31.567Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:16:33.256Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:16:34.431Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:16:34.768Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:16:34.768Z] The best model improves the baseline by 14.34%. [2026-01-10T05:16:34.768Z] Top recommended movies for user id 72: [2026-01-10T05:16:34.768Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:16:34.768Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:16:34.768Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:16:34.768Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:16:34.768Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:16:34.768Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15531.643 ms) ====== [2026-01-10T05:16:34.768Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-10T05:16:35.104Z] GC before operation: completed in 149.849 ms, heap usage 470.780 MB -> 92.703 MB. [2026-01-10T05:16:37.399Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:16:39.684Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:16:41.969Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:16:44.260Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:16:45.428Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:16:47.197Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:16:48.878Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:16:50.048Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:16:50.383Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:16:50.383Z] The best model improves the baseline by 14.34%. [2026-01-10T05:16:50.383Z] Top recommended movies for user id 72: [2026-01-10T05:16:50.383Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:16:50.383Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:16:50.383Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:16:50.383Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:16:50.383Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:16:50.383Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15391.822 ms) ====== [2026-01-10T05:16:50.383Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-10T05:16:50.716Z] GC before operation: completed in 144.027 ms, heap usage 135.571 MB -> 88.828 MB. [2026-01-10T05:16:53.001Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:16:55.292Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:16:57.608Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:16:59.894Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:17:01.060Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:17:02.753Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:17:04.432Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:17:05.596Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:17:05.933Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:17:05.933Z] The best model improves the baseline by 14.34%. [2026-01-10T05:17:05.933Z] Top recommended movies for user id 72: [2026-01-10T05:17:05.933Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:17:05.933Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:17:05.933Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:17:05.933Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:17:05.933Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:17:05.933Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15378.922 ms) ====== [2026-01-10T05:17:05.933Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-10T05:17:05.933Z] GC before operation: completed in 138.305 ms, heap usage 165.279 MB -> 88.994 MB. [2026-01-10T05:17:08.220Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:17:11.297Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:17:13.597Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:17:15.894Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:17:17.067Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:17:18.758Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:17:20.052Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:17:21.227Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:17:21.563Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:17:21.563Z] The best model improves the baseline by 14.34%. [2026-01-10T05:17:21.902Z] Top recommended movies for user id 72: [2026-01-10T05:17:21.902Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:17:21.902Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:17:21.902Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:17:21.902Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:17:21.902Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:17:21.902Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15694.249 ms) ====== [2026-01-10T05:17:21.902Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-10T05:17:21.902Z] GC before operation: completed in 147.775 ms, heap usage 608.982 MB -> 92.761 MB. [2026-01-10T05:17:24.198Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:17:26.495Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:17:29.500Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:17:31.192Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:17:32.361Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:17:34.050Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:17:35.741Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:17:36.916Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:17:36.916Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:17:36.916Z] The best model improves the baseline by 14.34%. [2026-01-10T05:17:37.253Z] Top recommended movies for user id 72: [2026-01-10T05:17:37.253Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:17:37.253Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:17:37.253Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:17:37.253Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:17:37.253Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:17:37.253Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15266.249 ms) ====== [2026-01-10T05:17:37.253Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-10T05:17:37.253Z] GC before operation: completed in 139.700 ms, heap usage 422.400 MB -> 89.333 MB. [2026-01-10T05:17:39.552Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T05:17:41.847Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T05:17:44.140Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T05:17:46.437Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T05:17:48.127Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T05:17:49.383Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T05:17:51.074Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T05:17:52.239Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T05:17:52.239Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-10T05:17:52.575Z] The best model improves the baseline by 14.34%. [2026-01-10T05:17:52.575Z] Top recommended movies for user id 72: [2026-01-10T05:17:52.575Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-10T05:17:52.575Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-10T05:17:52.575Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-10T05:17:52.575Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-10T05:17:52.575Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-10T05:17:52.575Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15184.619 ms) ====== [2026-01-10T05:17:52.911Z] ----------------------------------- [2026-01-10T05:17:52.911Z] renaissance-movie-lens_0_PASSED [2026-01-10T05:17:52.911Z] ----------------------------------- [2026-01-10T05:17:52.911Z] [2026-01-10T05:17:52.911Z] TEST TEARDOWN: [2026-01-10T05:17:52.911Z] Nothing to be done for teardown. [2026-01-10T05:17:52.911Z] renaissance-movie-lens_0 Finish Time: Sat Jan 10 05:17:52 2026 Epoch Time (ms): 1768022272747