[2026-02-11T22:59:06.937Z] Running test renaissance-movie-lens_0 ... [2026-02-11T22:59:06.937Z] =============================================== [2026-02-11T22:59:06.937Z] renaissance-movie-lens_0 Start Time: Wed Feb 11 22:59:06 2026 Epoch Time (ms): 1770850746425 [2026-02-11T22:59:06.937Z] variation: NoOptions [2026-02-11T22:59:06.937Z] JVM_OPTIONS: [2026-02-11T22:59:06.937Z] { \ [2026-02-11T22:59:06.937Z] echo ""; echo "TEST SETUP:"; \ [2026-02-11T22:59:06.937Z] echo "Nothing to be done for setup."; \ [2026-02-11T22:59:06.937Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17708495104619/renaissance-movie-lens_0"; \ [2026-02-11T22:59:06.937Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17708495104619/renaissance-movie-lens_0"; \ [2026-02-11T22:59:06.937Z] echo ""; echo "TESTING:"; \ [2026-02-11T22:59:06.937Z] "/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_17708495104619/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-11T22:59:06.938Z] 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_17708495104619/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-11T22:59:06.938Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-11T22:59:06.938Z] echo "Nothing to be done for teardown."; \ [2026-02-11T22:59:06.938Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17708495104619/TestTargetResult"; [2026-02-11T22:59:06.938Z] [2026-02-11T22:59:06.938Z] TEST SETUP: [2026-02-11T22:59:06.938Z] Nothing to be done for setup. [2026-02-11T22:59:06.938Z] [2026-02-11T22:59:06.938Z] TESTING: [2026-02-11T22:59:13.504Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-02-11T22:59:21.409Z] 22:59:20.907 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. [2026-02-11T22:59:24.436Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-11T22:59:25.102Z] Training: 60056, validation: 20285, test: 19854 [2026-02-11T22:59:25.102Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-11T22:59:25.102Z] GC before operation: completed in 190.537 ms, heap usage 278.342 MB -> 76.087 MB. [2026-02-11T22:59:33.996Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T22:59:38.944Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T22:59:45.029Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T22:59:49.921Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T22:59:52.839Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T22:59:55.781Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T22:59:58.861Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:00:01.540Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:00:02.567Z] 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. [2026-02-11T23:00:02.567Z] The best model improves the baseline by 14.34%. [2026-02-11T23:00:02.567Z] Top recommended movies for user id 72: [2026-02-11T23:00:02.567Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:00:02.567Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:00:02.567Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:00:02.567Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:00:02.567Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:00:02.567Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (37312.323 ms) ====== [2026-02-11T23:00:02.567Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-11T23:00:02.567Z] GC before operation: completed in 237.369 ms, heap usage 124.660 MB -> 101.332 MB. [2026-02-11T23:00:07.533Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:00:12.899Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:00:17.132Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:00:21.725Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:00:24.129Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:00:27.477Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:00:30.575Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:00:32.886Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:00:34.296Z] 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. [2026-02-11T23:00:34.296Z] The best model improves the baseline by 14.34%. [2026-02-11T23:00:34.296Z] Top recommended movies for user id 72: [2026-02-11T23:00:34.296Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:00:34.296Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:00:34.296Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:00:34.296Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:00:34.296Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:00:34.296Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (31415.950 ms) ====== [2026-02-11T23:00:34.296Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-11T23:00:34.296Z] GC before operation: completed in 256.932 ms, heap usage 419.838 MB -> 88.619 MB. [2026-02-11T23:00:39.459Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:00:45.167Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:00:49.382Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:00:54.420Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:00:56.567Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:00:59.578Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:01:02.630Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:01:04.850Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:01:05.548Z] 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. [2026-02-11T23:01:05.548Z] The best model improves the baseline by 14.34%. [2026-02-11T23:01:05.548Z] Top recommended movies for user id 72: [2026-02-11T23:01:05.548Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:01:05.548Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:01:05.548Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:01:05.548Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:01:05.548Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:01:05.548Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (31318.891 ms) ====== [2026-02-11T23:01:05.548Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-11T23:01:06.222Z] GC before operation: completed in 237.799 ms, heap usage 289.025 MB -> 88.992 MB. [2026-02-11T23:01:10.227Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:01:15.320Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:01:21.557Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:01:27.063Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:01:29.514Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:01:32.247Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:01:35.511Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:01:38.579Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:01:39.298Z] 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. [2026-02-11T23:01:39.298Z] The best model improves the baseline by 14.34%. [2026-02-11T23:01:39.298Z] Top recommended movies for user id 72: [2026-02-11T23:01:39.298Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:01:39.298Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:01:39.298Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:01:39.298Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:01:39.298Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:01:39.298Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (33457.363 ms) ====== [2026-02-11T23:01:39.298Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-11T23:01:39.964Z] GC before operation: completed in 182.176 ms, heap usage 284.040 MB -> 89.250 MB. [2026-02-11T23:01:44.088Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:01:50.390Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:01:55.411Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:02:00.532Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:02:02.711Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:02:05.734Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:02:08.790Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:02:11.030Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:02:11.721Z] 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. [2026-02-11T23:02:11.721Z] The best model improves the baseline by 14.34%. [2026-02-11T23:02:11.721Z] Top recommended movies for user id 72: [2026-02-11T23:02:11.721Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:02:11.721Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:02:11.721Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:02:11.721Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:02:11.721Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:02:11.721Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (32335.174 ms) ====== [2026-02-11T23:02:11.721Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-11T23:02:12.372Z] GC before operation: completed in 222.682 ms, heap usage 142.695 MB -> 89.206 MB. [2026-02-11T23:02:16.747Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:02:20.674Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:02:25.594Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:02:30.662Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:02:33.688Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:02:36.662Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:02:39.669Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:02:42.657Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:02:42.657Z] 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. [2026-02-11T23:02:42.657Z] The best model improves the baseline by 14.34%. [2026-02-11T23:02:42.657Z] Top recommended movies for user id 72: [2026-02-11T23:02:42.657Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:02:42.657Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:02:42.657Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:02:42.657Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:02:42.657Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:02:42.657Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (30675.492 ms) ====== [2026-02-11T23:02:42.657Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-11T23:02:43.309Z] GC before operation: completed in 214.269 ms, heap usage 239.960 MB -> 89.567 MB. [2026-02-11T23:02:47.291Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:02:52.341Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:02:57.271Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:03:00.750Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:03:03.203Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:03:07.243Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:03:09.374Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:03:12.468Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:03:12.469Z] 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. [2026-02-11T23:03:12.469Z] The best model improves the baseline by 14.34%. [2026-02-11T23:03:12.469Z] Top recommended movies for user id 72: [2026-02-11T23:03:12.469Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:03:12.469Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:03:12.469Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:03:12.469Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:03:12.469Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:03:12.469Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (29458.881 ms) ====== [2026-02-11T23:03:12.469Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-11T23:03:12.469Z] GC before operation: completed in 220.581 ms, heap usage 193.364 MB -> 89.364 MB. [2026-02-11T23:03:17.500Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:03:22.669Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:03:26.591Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:03:30.479Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:03:32.630Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:03:34.960Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:03:38.033Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:03:40.161Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:03:41.306Z] 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. [2026-02-11T23:03:41.306Z] The best model improves the baseline by 14.34%. [2026-02-11T23:03:41.939Z] Top recommended movies for user id 72: [2026-02-11T23:03:41.939Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:03:41.939Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:03:41.939Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:03:41.939Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:03:41.939Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:03:41.939Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (28442.687 ms) ====== [2026-02-11T23:03:41.939Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-11T23:03:41.939Z] GC before operation: completed in 346.664 ms, heap usage 133.182 MB -> 89.512 MB. [2026-02-11T23:03:45.898Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:03:50.940Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:03:56.020Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:04:01.205Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:04:03.377Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:04:06.437Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:04:08.643Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:04:11.558Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:04:11.558Z] 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. [2026-02-11T23:04:11.558Z] The best model improves the baseline by 14.34%. [2026-02-11T23:04:11.558Z] Top recommended movies for user id 72: [2026-02-11T23:04:11.558Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:04:11.558Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:04:11.558Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:04:11.558Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:04:11.558Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:04:11.558Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (30139.647 ms) ====== [2026-02-11T23:04:11.558Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-11T23:04:12.189Z] GC before operation: completed in 183.050 ms, heap usage 360.532 MB -> 89.803 MB. [2026-02-11T23:04:15.169Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:04:20.210Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:04:25.781Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:04:29.715Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:04:31.901Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:04:34.076Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:04:37.133Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:04:40.139Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:04:40.820Z] 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. [2026-02-11T23:04:40.820Z] The best model improves the baseline by 14.34%. [2026-02-11T23:04:40.820Z] Top recommended movies for user id 72: [2026-02-11T23:04:40.820Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:04:40.820Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:04:40.820Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:04:40.820Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:04:40.820Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:04:40.820Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (28937.655 ms) ====== [2026-02-11T23:04:40.820Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-11T23:04:40.820Z] GC before operation: completed in 165.914 ms, heap usage 307.063 MB -> 89.962 MB. [2026-02-11T23:04:45.821Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:04:49.741Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:04:53.653Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:04:57.510Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:04:59.607Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:05:01.732Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:05:03.821Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:05:06.642Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:05:06.642Z] 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. [2026-02-11T23:05:07.354Z] The best model improves the baseline by 14.34%. [2026-02-11T23:05:07.354Z] Top recommended movies for user id 72: [2026-02-11T23:05:07.354Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:05:07.354Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:05:07.354Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:05:07.354Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:05:07.354Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:05:07.354Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (26190.170 ms) ====== [2026-02-11T23:05:07.354Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-11T23:05:07.354Z] GC before operation: completed in 298.533 ms, heap usage 412.851 MB -> 90.058 MB. [2026-02-11T23:05:11.300Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:05:15.280Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:05:20.343Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:05:24.351Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:05:27.313Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:05:30.245Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:05:32.432Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:05:34.504Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:05:35.163Z] 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. [2026-02-11T23:05:35.163Z] The best model improves the baseline by 14.34%. [2026-02-11T23:05:35.163Z] Top recommended movies for user id 72: [2026-02-11T23:05:35.163Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:05:35.163Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:05:35.163Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:05:35.163Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:05:35.163Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:05:35.163Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (27660.982 ms) ====== [2026-02-11T23:05:35.163Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-11T23:05:35.163Z] GC before operation: completed in 203.248 ms, heap usage 318.766 MB -> 89.987 MB. [2026-02-11T23:05:38.989Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:05:41.909Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:05:45.730Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:05:48.700Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:05:51.202Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:05:53.267Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:05:55.322Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:05:57.430Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:05:58.079Z] 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. [2026-02-11T23:05:58.079Z] The best model improves the baseline by 14.34%. [2026-02-11T23:05:58.079Z] Top recommended movies for user id 72: [2026-02-11T23:05:58.079Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:05:58.079Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:05:58.079Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:05:58.079Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:05:58.079Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:05:58.079Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (22793.623 ms) ====== [2026-02-11T23:05:58.079Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-11T23:05:58.079Z] GC before operation: completed in 233.484 ms, heap usage 284.084 MB -> 90.006 MB. [2026-02-11T23:06:01.904Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:06:04.860Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:06:08.620Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:06:11.554Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:06:13.710Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:06:15.803Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:06:17.870Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:06:19.974Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:06:19.974Z] 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. [2026-02-11T23:06:20.673Z] The best model improves the baseline by 14.34%. [2026-02-11T23:06:20.673Z] Top recommended movies for user id 72: [2026-02-11T23:06:20.673Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:06:20.673Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:06:20.673Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:06:20.673Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:06:20.673Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:06:20.673Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (22162.440 ms) ====== [2026-02-11T23:06:20.673Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-11T23:06:20.673Z] GC before operation: completed in 202.380 ms, heap usage 147.056 MB -> 89.603 MB. [2026-02-11T23:06:24.534Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:06:27.769Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:06:30.670Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:06:33.561Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:06:36.490Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:06:37.848Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:06:40.839Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:06:42.271Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:06:42.886Z] 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. [2026-02-11T23:06:42.886Z] The best model improves the baseline by 14.34%. [2026-02-11T23:06:42.886Z] Top recommended movies for user id 72: [2026-02-11T23:06:42.886Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:06:42.886Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:06:42.886Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:06:42.886Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:06:42.886Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:06:42.886Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (22293.128 ms) ====== [2026-02-11T23:06:42.886Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-11T23:06:43.507Z] GC before operation: completed in 189.644 ms, heap usage 183.554 MB -> 89.885 MB. [2026-02-11T23:06:46.448Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:06:50.350Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:06:53.289Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:06:57.142Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:06:59.273Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:07:01.444Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:07:03.546Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:07:05.399Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:07:06.080Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-11T23:07:06.080Z] The best model improves the baseline by 14.34%. [2026-02-11T23:07:06.080Z] Top recommended movies for user id 72: [2026-02-11T23:07:06.080Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:07:06.080Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:07:06.080Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:07:06.080Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:07:06.080Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:07:06.080Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (22958.782 ms) ====== [2026-02-11T23:07:06.080Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-11T23:07:06.080Z] GC before operation: completed in 203.822 ms, heap usage 417.923 MB -> 90.068 MB. [2026-02-11T23:07:09.939Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:07:12.886Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:07:16.765Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:07:20.655Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:07:22.906Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:07:25.819Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:07:27.981Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:07:30.124Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:07:30.784Z] 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. [2026-02-11T23:07:30.784Z] The best model improves the baseline by 14.34%. [2026-02-11T23:07:30.784Z] Top recommended movies for user id 72: [2026-02-11T23:07:30.784Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:07:30.784Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:07:30.784Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:07:30.784Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:07:30.784Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:07:30.784Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (24382.587 ms) ====== [2026-02-11T23:07:30.784Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-11T23:07:30.784Z] GC before operation: completed in 265.600 ms, heap usage 276.664 MB -> 89.918 MB. [2026-02-11T23:07:34.711Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:07:38.649Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:07:42.523Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:07:46.391Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:07:48.101Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:07:50.161Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:07:53.088Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:07:55.180Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:07:55.180Z] 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. [2026-02-11T23:07:55.180Z] The best model improves the baseline by 14.34%. [2026-02-11T23:07:55.180Z] Top recommended movies for user id 72: [2026-02-11T23:07:55.180Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:07:55.180Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:07:55.180Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:07:55.180Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:07:55.180Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:07:55.180Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (24348.837 ms) ====== [2026-02-11T23:07:55.180Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-11T23:07:55.806Z] GC before operation: completed in 187.360 ms, heap usage 441.618 MB -> 90.031 MB. [2026-02-11T23:07:58.824Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:08:02.849Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:08:07.937Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:08:10.929Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:08:13.873Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:08:16.012Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:08:18.118Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:08:21.153Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:08:21.153Z] 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. [2026-02-11T23:08:21.153Z] The best model improves the baseline by 14.34%. [2026-02-11T23:08:21.830Z] Top recommended movies for user id 72: [2026-02-11T23:08:21.830Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:08:21.830Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:08:21.830Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:08:21.830Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:08:21.830Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:08:21.830Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (25920.140 ms) ====== [2026-02-11T23:08:21.830Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-11T23:08:21.830Z] GC before operation: completed in 225.380 ms, heap usage 306.678 MB -> 89.898 MB. [2026-02-11T23:08:26.680Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:08:29.735Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:08:33.870Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:08:37.795Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:08:40.879Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:08:43.004Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:08:45.940Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:08:48.998Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:08:48.998Z] 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. [2026-02-11T23:08:49.672Z] The best model improves the baseline by 14.34%. [2026-02-11T23:08:49.672Z] Top recommended movies for user id 72: [2026-02-11T23:08:49.672Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:08:49.672Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:08:49.672Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:08:49.672Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:08:49.672Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:08:49.672Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (27856.327 ms) ====== [2026-02-11T23:08:50.338Z] ----------------------------------- [2026-02-11T23:08:50.338Z] renaissance-movie-lens_0_PASSED [2026-02-11T23:08:50.338Z] ----------------------------------- [2026-02-11T23:08:50.338Z] [2026-02-11T23:08:50.338Z] TEST TEARDOWN: [2026-02-11T23:08:50.338Z] Nothing to be done for teardown. [2026-02-11T23:08:50.338Z] renaissance-movie-lens_0 Finish Time: Wed Feb 11 23:08:49 2026 Epoch Time (ms): 1770851329730