[2026-02-04T23:42:10.134Z] Running test renaissance-movie-lens_0 ... [2026-02-04T23:42:10.134Z] =============================================== [2026-02-04T23:42:10.134Z] renaissance-movie-lens_0 Start Time: Wed Feb 4 23:42:09 2026 Epoch Time (ms): 1770248529671 [2026-02-04T23:42:10.134Z] variation: NoOptions [2026-02-04T23:42:10.134Z] JVM_OPTIONS: [2026-02-04T23:42:10.134Z] { \ [2026-02-04T23:42:10.134Z] echo ""; echo "TEST SETUP:"; \ [2026-02-04T23:42:10.134Z] echo "Nothing to be done for setup."; \ [2026-02-04T23:42:10.134Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17702469184656/renaissance-movie-lens_0"; \ [2026-02-04T23:42:10.134Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17702469184656/renaissance-movie-lens_0"; \ [2026-02-04T23:42:10.134Z] echo ""; echo "TESTING:"; \ [2026-02-04T23:42:10.134Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_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_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17702469184656/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-04T23:42:10.134Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17702469184656/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-04T23:42:10.134Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-04T23:42:10.134Z] echo "Nothing to be done for teardown."; \ [2026-02-04T23:42:10.134Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17702469184656/TestTargetResult"; [2026-02-04T23:42:10.134Z] [2026-02-04T23:42:10.134Z] TEST SETUP: [2026-02-04T23:42:10.134Z] Nothing to be done for setup. [2026-02-04T23:42:10.134Z] [2026-02-04T23:42:10.134Z] TESTING: [2026-02-04T23:42:16.343Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-02-04T23:42:23.760Z] 23:42:22.981 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-02-04T23:42:25.906Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-04T23:42:26.558Z] Training: 60056, validation: 20285, test: 19854 [2026-02-04T23:42:26.558Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-04T23:42:27.206Z] GC before operation: completed in 207.634 ms, heap usage 152.827 MB -> 75.565 MB. [2026-02-04T23:42:34.671Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:42:41.933Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:42:46.807Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:42:50.733Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:42:53.701Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:42:56.715Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:42:59.683Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:43:02.726Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:43:03.373Z] 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. [2026-02-04T23:43:03.373Z] The best model improves the baseline by 14.34%. [2026-02-04T23:43:03.373Z] Top recommended movies for user id 72: [2026-02-04T23:43:03.373Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T23:43:03.373Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T23:43:03.373Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T23:43:03.373Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T23:43:03.373Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T23:43:03.373Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (36559.737 ms) ====== [2026-02-04T23:43:03.373Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-04T23:43:04.034Z] GC before operation: completed in 217.107 ms, heap usage 169.608 MB -> 90.880 MB. [2026-02-04T23:43:08.859Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:43:12.739Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:43:17.633Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:43:21.461Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:43:23.648Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:43:25.824Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:43:28.743Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:43:31.713Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:43:31.713Z] 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. [2026-02-04T23:43:31.713Z] The best model improves the baseline by 14.34%. [2026-02-04T23:43:32.380Z] Top recommended movies for user id 72: [2026-02-04T23:43:32.380Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T23:43:32.380Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T23:43:32.381Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T23:43:32.381Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T23:43:32.381Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T23:43:32.381Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (28287.337 ms) ====== [2026-02-04T23:43:32.381Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-04T23:43:32.381Z] GC before operation: completed in 196.985 ms, heap usage 112.606 MB -> 87.526 MB. [2026-02-04T23:43:37.491Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:43:42.494Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:43:47.579Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:43:53.664Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:43:56.466Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:43:59.552Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:44:02.489Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:44:05.635Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:44:06.314Z] 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. [2026-02-04T23:44:06.314Z] The best model improves the baseline by 14.34%. [2026-02-04T23:44:06.314Z] Top recommended movies for user id 72: [2026-02-04T23:44:06.314Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T23:44:06.314Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T23:44:06.314Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T23:44:06.314Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T23:44:06.314Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T23:44:06.314Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (34128.377 ms) ====== [2026-02-04T23:44:06.314Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-04T23:44:07.044Z] GC before operation: completed in 288.637 ms, heap usage 361.919 MB -> 90.859 MB. [2026-02-04T23:44:12.095Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:44:17.074Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:44:23.443Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:44:27.314Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:44:30.344Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:44:33.284Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:44:36.296Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:44:38.438Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:44:39.097Z] 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. [2026-02-04T23:44:39.097Z] The best model improves the baseline by 14.34%. [2026-02-04T23:44:39.097Z] Top recommended movies for user id 72: [2026-02-04T23:44:39.097Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T23:44:39.097Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T23:44:39.097Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T23:44:39.097Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T23:44:39.097Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T23:44:39.097Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (32457.864 ms) ====== [2026-02-04T23:44:39.097Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-04T23:44:39.097Z] GC before operation: completed in 190.552 ms, heap usage 219.972 MB -> 90.907 MB. [2026-02-04T23:44:43.031Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:44:47.089Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:44:52.115Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:44:56.137Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:44:59.125Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:45:01.321Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:45:03.527Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:45:06.507Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:45:06.507Z] 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. [2026-02-04T23:45:06.507Z] The best model improves the baseline by 14.34%. [2026-02-04T23:45:06.507Z] Top recommended movies for user id 72: [2026-02-04T23:45:06.507Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T23:45:06.507Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T23:45:06.507Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T23:45:06.507Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T23:45:06.507Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T23:45:06.507Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (27444.694 ms) ====== [2026-02-04T23:45:06.507Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-04T23:45:07.140Z] GC before operation: completed in 195.140 ms, heap usage 221.133 MB -> 88.726 MB. [2026-02-04T23:45:10.994Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:45:14.893Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:45:19.139Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:45:23.075Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:45:26.216Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:45:29.114Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:45:32.154Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:45:34.333Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:45:34.993Z] 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. [2026-02-04T23:45:34.993Z] The best model improves the baseline by 14.34%. [2026-02-04T23:45:34.993Z] Top recommended movies for user id 72: [2026-02-04T23:45:34.993Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T23:45:34.993Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T23:45:34.993Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T23:45:34.993Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T23:45:34.993Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T23:45:34.993Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (28014.965 ms) ====== [2026-02-04T23:45:34.993Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-04T23:45:35.698Z] GC before operation: completed in 334.787 ms, heap usage 393.743 MB -> 89.247 MB. [2026-02-04T23:45:40.579Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:45:44.518Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:45:49.420Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:45:53.103Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:45:55.496Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:45:57.656Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:45:59.821Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:46:02.866Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:46:03.542Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-04T23:46:03.542Z] The best model improves the baseline by 14.34%. [2026-02-04T23:46:04.235Z] Top recommended movies for user id 72: [2026-02-04T23:46:04.235Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T23:46:04.235Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T23:46:04.235Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T23:46:04.235Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T23:46:04.235Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T23:46:04.235Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (28712.978 ms) ====== [2026-02-04T23:46:04.235Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-04T23:46:04.235Z] GC before operation: completed in 215.484 ms, heap usage 171.769 MB -> 88.899 MB. [2026-02-04T23:46:09.336Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:46:14.373Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:46:20.706Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:46:24.869Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:46:27.992Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:46:31.003Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:46:34.049Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:46:37.181Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:46:37.861Z] 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. [2026-02-04T23:46:37.861Z] The best model improves the baseline by 14.34%. [2026-02-04T23:46:38.571Z] Top recommended movies for user id 72: [2026-02-04T23:46:38.571Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T23:46:38.571Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T23:46:38.571Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T23:46:38.571Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T23:46:38.571Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T23:46:38.571Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (34056.322 ms) ====== [2026-02-04T23:46:38.571Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-04T23:46:38.571Z] GC before operation: completed in 274.350 ms, heap usage 228.948 MB -> 89.234 MB. [2026-02-04T23:46:43.624Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:46:48.594Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:46:53.697Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:46:57.707Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:47:00.967Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:47:05.078Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:47:08.228Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:47:11.240Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:47:11.240Z] 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. [2026-02-04T23:47:11.240Z] The best model improves the baseline by 14.34%. [2026-02-04T23:47:11.927Z] Top recommended movies for user id 72: [2026-02-04T23:47:11.927Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T23:47:11.927Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T23:47:11.927Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T23:47:11.927Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T23:47:11.927Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T23:47:11.927Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (33242.985 ms) ====== [2026-02-04T23:47:11.927Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-04T23:47:12.616Z] GC before operation: completed in 368.006 ms, heap usage 219.258 MB -> 89.130 MB. [2026-02-04T23:47:17.675Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:47:21.598Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:47:27.720Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:47:32.764Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:47:36.252Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:47:38.380Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:47:42.546Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:47:46.571Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:47:46.571Z] 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. [2026-02-04T23:47:46.571Z] The best model improves the baseline by 14.34%. [2026-02-04T23:47:47.219Z] Top recommended movies for user id 72: [2026-02-04T23:47:47.219Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T23:47:47.219Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T23:47:47.219Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T23:47:47.219Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T23:47:47.219Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T23:47:47.219Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (34948.365 ms) ====== [2026-02-04T23:47:47.219Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-04T23:47:47.219Z] GC before operation: completed in 263.836 ms, heap usage 312.215 MB -> 91.541 MB. [2026-02-04T23:47:52.255Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:47:57.280Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:48:03.651Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:48:08.856Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:48:13.075Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:48:16.196Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:48:20.358Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:48:24.160Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:48:24.160Z] 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. [2026-02-04T23:48:24.160Z] The best model improves the baseline by 14.34%. [2026-02-04T23:48:24.858Z] Top recommended movies for user id 72: [2026-02-04T23:48:24.858Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T23:48:24.858Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T23:48:24.858Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T23:48:24.858Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T23:48:24.858Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T23:48:24.858Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (37293.343 ms) ====== [2026-02-04T23:48:24.858Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-04T23:48:24.858Z] GC before operation: completed in 248.084 ms, heap usage 363.213 MB -> 91.514 MB. [2026-02-04T23:48:29.837Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:48:35.103Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:48:40.342Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:48:45.378Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:48:49.582Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:48:52.704Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:48:55.905Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:48:59.145Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:49:00.560Z] 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. [2026-02-04T23:49:00.560Z] The best model improves the baseline by 14.34%. [2026-02-04T23:49:00.560Z] Top recommended movies for user id 72: [2026-02-04T23:49:00.560Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T23:49:00.560Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T23:49:00.560Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T23:49:00.560Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T23:49:00.560Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T23:49:00.560Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (35611.227 ms) ====== [2026-02-04T23:49:00.560Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-04T23:49:00.560Z] GC before operation: completed in 232.822 ms, heap usage 146.366 MB -> 89.180 MB. [2026-02-04T23:49:07.003Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:49:13.645Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:49:19.863Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:49:24.900Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:49:28.924Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:49:31.964Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:49:35.130Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:49:38.142Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:49:38.853Z] 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. [2026-02-04T23:49:38.853Z] The best model improves the baseline by 14.34%. [2026-02-04T23:49:38.853Z] Top recommended movies for user id 72: [2026-02-04T23:49:38.853Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T23:49:38.853Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T23:49:38.853Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T23:49:38.853Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T23:49:38.853Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T23:49:38.853Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (38300.077 ms) ====== [2026-02-04T23:49:38.853Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-04T23:49:39.553Z] GC before operation: completed in 218.315 ms, heap usage 253.600 MB -> 91.703 MB. [2026-02-04T23:49:44.719Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:49:51.055Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:49:58.024Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:50:00.993Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:50:04.113Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:50:06.330Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:50:09.423Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:50:11.677Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:50:13.106Z] 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. [2026-02-04T23:50:13.106Z] The best model improves the baseline by 14.34%. [2026-02-04T23:50:13.106Z] Top recommended movies for user id 72: [2026-02-04T23:50:13.106Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T23:50:13.106Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T23:50:13.106Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T23:50:13.106Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T23:50:13.106Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T23:50:13.106Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (33686.107 ms) ====== [2026-02-04T23:50:13.106Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-04T23:50:13.106Z] GC before operation: completed in 403.333 ms, heap usage 154.129 MB -> 89.128 MB. [2026-02-04T23:50:19.653Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:50:24.684Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:50:31.094Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:50:36.233Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:50:39.363Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:50:42.853Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:50:46.976Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:50:50.032Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:50:50.032Z] 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. [2026-02-04T23:50:50.032Z] The best model improves the baseline by 14.34%. [2026-02-04T23:50:50.790Z] Top recommended movies for user id 72: [2026-02-04T23:50:50.790Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T23:50:50.790Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T23:50:50.790Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T23:50:50.790Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T23:50:50.790Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T23:50:50.790Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (37083.493 ms) ====== [2026-02-04T23:50:50.790Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-04T23:50:50.790Z] GC before operation: completed in 292.957 ms, heap usage 208.625 MB -> 91.554 MB. [2026-02-04T23:50:55.816Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:51:00.824Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:51:07.173Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:51:12.140Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:51:15.240Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:51:17.443Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:51:20.474Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:51:24.470Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:51:24.470Z] 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. [2026-02-04T23:51:24.470Z] The best model improves the baseline by 14.34%. [2026-02-04T23:51:24.470Z] Top recommended movies for user id 72: [2026-02-04T23:51:24.471Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T23:51:24.471Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T23:51:24.471Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T23:51:24.471Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T23:51:24.471Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T23:51:24.471Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (33886.040 ms) ====== [2026-02-04T23:51:24.471Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-04T23:51:25.593Z] GC before operation: completed in 186.200 ms, heap usage 199.556 MB -> 91.493 MB. [2026-02-04T23:51:29.733Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:51:33.738Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:51:38.940Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:51:45.279Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:51:48.347Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:51:51.419Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:51:54.476Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:51:57.486Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:51:57.486Z] 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. [2026-02-04T23:51:57.486Z] The best model improves the baseline by 14.34%. [2026-02-04T23:51:58.286Z] Top recommended movies for user id 72: [2026-02-04T23:51:58.286Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T23:51:58.286Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T23:51:58.286Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T23:51:58.286Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T23:51:58.286Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T23:51:58.286Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (33027.810 ms) ====== [2026-02-04T23:51:58.286Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-04T23:51:58.286Z] GC before operation: completed in 354.752 ms, heap usage 225.966 MB -> 89.415 MB. [2026-02-04T23:52:02.283Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:52:07.294Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:52:12.903Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:52:18.115Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:52:21.253Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:52:23.395Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:52:27.517Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:52:30.553Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:52:31.214Z] 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. [2026-02-04T23:52:31.214Z] The best model improves the baseline by 14.34%. [2026-02-04T23:52:31.214Z] Top recommended movies for user id 72: [2026-02-04T23:52:31.214Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T23:52:31.214Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T23:52:31.214Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T23:52:31.214Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T23:52:31.214Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T23:52:31.214Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (33212.580 ms) ====== [2026-02-04T23:52:31.214Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-04T23:52:31.916Z] GC before operation: completed in 313.499 ms, heap usage 308.375 MB -> 89.363 MB. [2026-02-04T23:52:36.924Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:52:40.853Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:52:46.084Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:52:51.203Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:52:53.512Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:52:56.200Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:52:59.296Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:53:02.505Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:53:03.175Z] 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. [2026-02-04T23:53:03.175Z] The best model improves the baseline by 14.34%. [2026-02-04T23:53:03.830Z] Top recommended movies for user id 72: [2026-02-04T23:53:03.830Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T23:53:03.830Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T23:53:03.830Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T23:53:03.830Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T23:53:03.830Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T23:53:03.830Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (31698.298 ms) ====== [2026-02-04T23:53:03.830Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-04T23:53:03.830Z] GC before operation: completed in 278.354 ms, heap usage 189.456 MB -> 89.248 MB. [2026-02-04T23:53:08.885Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:53:15.105Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:53:21.476Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:53:26.479Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:53:29.648Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:53:33.614Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:53:36.562Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:53:39.648Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:53:39.648Z] 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. [2026-02-04T23:53:39.648Z] The best model improves the baseline by 14.34%. [2026-02-04T23:53:40.335Z] Top recommended movies for user id 72: [2026-02-04T23:53:40.335Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T23:53:40.335Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T23:53:40.335Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T23:53:40.335Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T23:53:40.335Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T23:53:40.335Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (36287.199 ms) ====== [2026-02-04T23:53:41.229Z] ----------------------------------- [2026-02-04T23:53:41.229Z] renaissance-movie-lens_0_PASSED [2026-02-04T23:53:41.229Z] ----------------------------------- [2026-02-04T23:53:41.229Z] [2026-02-04T23:53:41.229Z] TEST TEARDOWN: [2026-02-04T23:53:41.229Z] Nothing to be done for teardown. [2026-02-04T23:53:41.229Z] renaissance-movie-lens_0 Finish Time: Wed Feb 4 23:53:41 2026 Epoch Time (ms): 1770249221102