[2026-02-19T01:08:52.118Z] Running test renaissance-movie-lens_0 ... [2026-02-19T01:08:52.118Z] =============================================== [2026-02-19T01:08:52.118Z] renaissance-movie-lens_0 Start Time: Thu Feb 19 01:08:52 2026 Epoch Time (ms): 1771463332073 [2026-02-19T01:08:52.451Z] variation: NoOptions [2026-02-19T01:08:52.451Z] JVM_OPTIONS: [2026-02-19T01:08:52.451Z] { \ [2026-02-19T01:08:52.451Z] echo ""; echo "TEST SETUP:"; \ [2026-02-19T01:08:52.451Z] echo "Nothing to be done for setup."; \ [2026-02-19T01:08:52.451Z] mkdir -p "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_1771461363527\\renaissance-movie-lens_0"; \ [2026-02-19T01:08:52.451Z] cd "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_1771461363527\\renaissance-movie-lens_0"; \ [2026-02-19T01:08:52.451Z] echo ""; echo "TESTING:"; \ [2026-02-19T01:08:52.451Z] "c:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/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 "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_1771461363527\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2026-02-19T01:08:52.451Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_1771461363527\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-19T01:08:52.451Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-19T01:08:52.451Z] echo "Nothing to be done for teardown."; \ [2026-02-19T01:08:52.451Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_1771461363527\\TestTargetResult"; [2026-02-19T01:08:52.451Z] [2026-02-19T01:08:52.452Z] TEST SETUP: [2026-02-19T01:08:52.452Z] Nothing to be done for setup. [2026-02-19T01:08:52.452Z] [2026-02-19T01:08:52.452Z] TESTING: [2026-02-19T01:09:08.182Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-02-19T01:09:18.185Z] 01:09:17.282 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. [2026-02-19T01:09:21.783Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-19T01:09:22.212Z] Training: 60056, validation: 20285, test: 19854 [2026-02-19T01:09:22.212Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-19T01:09:22.212Z] GC before operation: completed in 151.952 ms, heap usage 223.169 MB -> 75.781 MB. [2026-02-19T01:09:36.809Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T01:09:46.069Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T01:09:53.727Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T01:10:01.680Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T01:10:06.387Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T01:10:10.162Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T01:10:14.939Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T01:10:18.733Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T01:10:19.460Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-19T01:10:19.460Z] The best model improves the baseline by 14.34%. [2026-02-19T01:10:19.918Z] Top recommended movies for user id 72: [2026-02-19T01:10:19.918Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T01:10:19.918Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T01:10:19.918Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T01:10:19.918Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T01:10:19.918Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T01:10:19.918Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (57532.240 ms) ====== [2026-02-19T01:10:19.918Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-19T01:10:20.494Z] GC before operation: completed in 266.400 ms, heap usage 114.744 MB -> 87.841 MB. [2026-02-19T01:10:27.858Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T01:10:35.805Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T01:10:43.194Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T01:10:50.484Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T01:10:53.508Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T01:10:58.450Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T01:11:02.431Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T01:11:07.292Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T01:11:07.292Z] 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. [2026-02-19T01:11:07.292Z] The best model improves the baseline by 14.34%. [2026-02-19T01:11:07.860Z] Top recommended movies for user id 72: [2026-02-19T01:11:07.860Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T01:11:07.860Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T01:11:07.860Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T01:11:07.860Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T01:11:07.860Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T01:11:07.860Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (47452.619 ms) ====== [2026-02-19T01:11:07.860Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-19T01:11:08.189Z] GC before operation: completed in 163.903 ms, heap usage 218.434 MB -> 90.024 MB. [2026-02-19T01:11:15.254Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T01:11:23.138Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T01:11:30.343Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T01:11:37.475Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T01:11:40.596Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T01:11:44.441Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T01:11:49.153Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T01:11:52.920Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T01:11:53.697Z] 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. [2026-02-19T01:11:53.697Z] The best model improves the baseline by 14.34%. [2026-02-19T01:11:54.234Z] Top recommended movies for user id 72: [2026-02-19T01:11:54.234Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T01:11:54.234Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T01:11:54.234Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T01:11:54.235Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T01:11:54.235Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T01:11:54.235Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (46156.765 ms) ====== [2026-02-19T01:11:54.235Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-19T01:11:54.552Z] GC before operation: completed in 184.117 ms, heap usage 209.272 MB -> 94.068 MB. [2026-02-19T01:12:01.738Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T01:12:08.990Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T01:12:16.284Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T01:12:23.437Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T01:12:27.162Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T01:12:30.939Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T01:12:35.671Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T01:12:39.422Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T01:12:39.837Z] 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. [2026-02-19T01:12:39.837Z] The best model improves the baseline by 14.34%. [2026-02-19T01:12:40.187Z] Top recommended movies for user id 72: [2026-02-19T01:12:40.187Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T01:12:40.187Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T01:12:40.187Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T01:12:40.187Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T01:12:40.187Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T01:12:40.187Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (46115.861 ms) ====== [2026-02-19T01:12:40.187Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-19T01:12:40.878Z] GC before operation: completed in 176.136 ms, heap usage 211.892 MB -> 93.811 MB. [2026-02-19T01:12:48.112Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T01:12:54.171Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T01:13:01.452Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T01:13:08.660Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T01:13:12.410Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T01:13:16.212Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T01:13:21.075Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T01:13:24.831Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T01:13:24.831Z] 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. [2026-02-19T01:13:25.226Z] The best model improves the baseline by 14.34%. [2026-02-19T01:13:25.226Z] Top recommended movies for user id 72: [2026-02-19T01:13:25.226Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T01:13:25.226Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T01:13:25.226Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T01:13:25.226Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T01:13:25.226Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T01:13:25.226Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (44866.918 ms) ====== [2026-02-19T01:13:25.226Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-19T01:13:25.638Z] GC before operation: completed in 167.867 ms, heap usage 237.465 MB -> 88.799 MB. [2026-02-19T01:13:33.029Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T01:13:40.362Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T01:13:46.271Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T01:13:53.471Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T01:13:57.216Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T01:14:01.008Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T01:14:05.701Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T01:14:09.477Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T01:14:09.803Z] 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. [2026-02-19T01:14:09.803Z] The best model improves the baseline by 14.34%. [2026-02-19T01:14:10.206Z] Top recommended movies for user id 72: [2026-02-19T01:14:10.206Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T01:14:10.206Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T01:14:10.206Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T01:14:10.206Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T01:14:10.206Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T01:14:10.206Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (44718.464 ms) ====== [2026-02-19T01:14:10.206Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-19T01:14:10.571Z] GC before operation: completed in 166.752 ms, heap usage 216.919 MB -> 96.873 MB. [2026-02-19T01:14:17.735Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T01:14:25.085Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T01:14:32.622Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T01:14:40.166Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T01:14:44.023Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T01:14:47.803Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T01:14:52.382Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T01:14:56.084Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T01:14:56.588Z] 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. [2026-02-19T01:14:56.588Z] The best model improves the baseline by 14.34%. [2026-02-19T01:14:56.975Z] Top recommended movies for user id 72: [2026-02-19T01:14:56.975Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T01:14:56.975Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T01:14:56.975Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T01:14:56.975Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T01:14:56.975Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T01:14:56.975Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (46338.361 ms) ====== [2026-02-19T01:14:56.975Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-19T01:14:56.975Z] GC before operation: completed in 170.433 ms, heap usage 240.202 MB -> 97.475 MB. [2026-02-19T01:15:04.150Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T01:15:11.415Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T01:15:17.241Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T01:15:24.396Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T01:15:28.140Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T01:15:32.997Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T01:15:36.984Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T01:15:40.852Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T01:15:41.484Z] 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. [2026-02-19T01:15:41.484Z] The best model improves the baseline by 14.34%. [2026-02-19T01:15:41.941Z] Top recommended movies for user id 72: [2026-02-19T01:15:41.941Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T01:15:41.941Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T01:15:41.941Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T01:15:41.941Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T01:15:41.941Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T01:15:41.941Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (44949.338 ms) ====== [2026-02-19T01:15:41.941Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-19T01:15:42.302Z] GC before operation: completed in 165.171 ms, heap usage 154.377 MB -> 94.375 MB. [2026-02-19T01:15:49.467Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T01:15:55.301Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T01:16:02.430Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T01:16:09.658Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T01:16:13.393Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T01:16:17.103Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T01:16:20.815Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T01:16:25.522Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T01:16:25.859Z] 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. [2026-02-19T01:16:25.860Z] The best model improves the baseline by 14.34%. [2026-02-19T01:16:26.206Z] Top recommended movies for user id 72: [2026-02-19T01:16:26.206Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T01:16:26.206Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T01:16:26.206Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T01:16:26.206Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T01:16:26.206Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T01:16:26.206Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (44294.921 ms) ====== [2026-02-19T01:16:26.206Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-19T01:16:26.547Z] GC before operation: completed in 165.993 ms, heap usage 190.469 MB -> 93.309 MB. [2026-02-19T01:16:33.646Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T01:16:40.778Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T01:16:47.940Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T01:16:53.778Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T01:16:57.482Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T01:17:01.221Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T01:17:05.016Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T01:17:08.723Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T01:17:09.411Z] 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. [2026-02-19T01:17:09.411Z] The best model improves the baseline by 14.34%. [2026-02-19T01:17:09.751Z] Top recommended movies for user id 72: [2026-02-19T01:17:09.751Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T01:17:09.751Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T01:17:09.751Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T01:17:09.751Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T01:17:09.751Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T01:17:09.751Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (43353.028 ms) ====== [2026-02-19T01:17:09.751Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-19T01:17:09.751Z] GC before operation: completed in 171.624 ms, heap usage 361.360 MB -> 89.597 MB. [2026-02-19T01:17:16.879Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T01:17:24.108Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T01:17:34.027Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T01:17:40.022Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T01:17:44.650Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T01:17:48.717Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T01:17:52.790Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T01:17:57.683Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T01:17:57.683Z] 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. [2026-02-19T01:17:57.683Z] The best model improves the baseline by 14.34%. [2026-02-19T01:17:58.051Z] Top recommended movies for user id 72: [2026-02-19T01:17:58.051Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T01:17:58.051Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T01:17:58.051Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T01:17:58.051Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T01:17:58.051Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T01:17:58.051Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (48163.676 ms) ====== [2026-02-19T01:17:58.051Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-19T01:17:58.669Z] GC before operation: completed in 166.044 ms, heap usage 290.136 MB -> 92.330 MB. [2026-02-19T01:18:07.390Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T01:18:13.714Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T01:18:21.209Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T01:18:28.578Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T01:18:31.563Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T01:18:35.564Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T01:18:40.276Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T01:18:43.944Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T01:18:43.944Z] 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. [2026-02-19T01:18:44.370Z] The best model improves the baseline by 14.34%. [2026-02-19T01:18:44.370Z] Top recommended movies for user id 72: [2026-02-19T01:18:44.370Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T01:18:44.370Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T01:18:44.370Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T01:18:44.370Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T01:18:44.370Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T01:18:44.370Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (46169.720 ms) ====== [2026-02-19T01:18:44.370Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-19T01:18:44.737Z] GC before operation: completed in 174.322 ms, heap usage 207.580 MB -> 91.459 MB. [2026-02-19T01:18:51.922Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T01:18:59.080Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T01:19:06.207Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T01:19:12.007Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T01:19:15.749Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T01:19:19.630Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T01:19:24.281Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T01:19:27.974Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T01:19:27.974Z] 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. [2026-02-19T01:19:27.974Z] The best model improves the baseline by 14.34%. [2026-02-19T01:19:28.345Z] Top recommended movies for user id 72: [2026-02-19T01:19:28.345Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T01:19:28.345Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T01:19:28.345Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T01:19:28.345Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T01:19:28.345Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T01:19:28.345Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (43803.751 ms) ====== [2026-02-19T01:19:28.345Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-19T01:19:28.693Z] GC before operation: completed in 172.278 ms, heap usage 392.213 MB -> 89.778 MB. [2026-02-19T01:19:35.935Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T01:19:41.730Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T01:19:48.963Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T01:19:54.732Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T01:19:59.364Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T01:20:03.070Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T01:20:07.706Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T01:20:11.389Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T01:20:11.389Z] 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. [2026-02-19T01:20:11.390Z] The best model improves the baseline by 14.34%. [2026-02-19T01:20:12.137Z] Top recommended movies for user id 72: [2026-02-19T01:20:12.137Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T01:20:12.137Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T01:20:12.137Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T01:20:12.137Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T01:20:12.137Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T01:20:12.137Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (43263.567 ms) ====== [2026-02-19T01:20:12.137Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-19T01:20:12.137Z] GC before operation: completed in 163.196 ms, heap usage 195.924 MB -> 89.220 MB. [2026-02-19T01:20:19.451Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T01:20:25.268Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T01:20:32.464Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T01:20:38.317Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T01:20:42.267Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T01:20:46.140Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T01:20:49.841Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T01:20:53.576Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T01:20:54.433Z] 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. [2026-02-19T01:20:54.433Z] The best model improves the baseline by 14.34%. [2026-02-19T01:20:54.945Z] Top recommended movies for user id 72: [2026-02-19T01:20:54.945Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T01:20:54.945Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T01:20:54.945Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T01:20:54.945Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T01:20:54.945Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T01:20:54.945Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (42660.575 ms) ====== [2026-02-19T01:20:54.945Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-19T01:20:54.945Z] GC before operation: completed in 169.262 ms, heap usage 358.089 MB -> 89.818 MB. [2026-02-19T01:21:02.202Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T01:21:09.473Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T01:21:16.768Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T01:21:22.700Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T01:21:26.451Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T01:21:30.209Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T01:21:33.938Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T01:21:37.670Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T01:21:38.398Z] 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. [2026-02-19T01:21:38.398Z] The best model improves the baseline by 14.34%. [2026-02-19T01:21:38.904Z] Top recommended movies for user id 72: [2026-02-19T01:21:38.904Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T01:21:38.904Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T01:21:38.904Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T01:21:38.904Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T01:21:38.904Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T01:21:38.904Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (43879.320 ms) ====== [2026-02-19T01:21:38.904Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-19T01:21:38.904Z] GC before operation: completed in 161.378 ms, heap usage 168.634 MB -> 90.965 MB. [2026-02-19T01:21:46.166Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T01:21:52.012Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T01:21:59.239Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T01:22:05.029Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T01:22:08.805Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T01:22:12.522Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T01:22:17.182Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T01:22:21.868Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T01:22:21.868Z] 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. [2026-02-19T01:22:21.868Z] The best model improves the baseline by 14.34%. [2026-02-19T01:22:22.466Z] Top recommended movies for user id 72: [2026-02-19T01:22:22.466Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T01:22:22.466Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T01:22:22.466Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T01:22:22.466Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T01:22:22.466Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T01:22:22.466Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (43323.926 ms) ====== [2026-02-19T01:22:22.466Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-19T01:22:22.806Z] GC before operation: completed in 176.315 ms, heap usage 203.538 MB -> 89.326 MB. [2026-02-19T01:22:30.047Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T01:22:35.874Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T01:22:43.184Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T01:22:50.366Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T01:22:53.261Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T01:22:56.981Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T01:23:01.628Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T01:23:05.363Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T01:23:05.363Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-19T01:23:05.363Z] The best model improves the baseline by 14.34%. [2026-02-19T01:23:05.763Z] Top recommended movies for user id 72: [2026-02-19T01:23:05.763Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T01:23:05.763Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T01:23:05.763Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T01:23:05.763Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T01:23:05.763Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T01:23:05.763Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (43420.745 ms) ====== [2026-02-19T01:23:05.763Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-19T01:23:06.102Z] GC before operation: completed in 163.297 ms, heap usage 195.621 MB -> 95.504 MB. [2026-02-19T01:23:13.297Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T01:23:19.074Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T01:23:26.228Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T01:23:33.394Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T01:23:37.090Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T01:23:40.786Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T01:23:44.636Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T01:23:48.413Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T01:23:49.098Z] 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. [2026-02-19T01:23:49.098Z] The best model improves the baseline by 14.34%. [2026-02-19T01:23:49.441Z] Top recommended movies for user id 72: [2026-02-19T01:23:49.441Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T01:23:49.441Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T01:23:49.441Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T01:23:49.441Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T01:23:49.441Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T01:23:49.441Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (43458.708 ms) ====== [2026-02-19T01:23:49.441Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-19T01:23:49.441Z] GC before operation: completed in 166.732 ms, heap usage 147.986 MB -> 89.242 MB. [2026-02-19T01:23:56.730Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T01:24:02.539Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T01:24:09.687Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T01:24:16.820Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T01:24:19.767Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T01:24:24.476Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T01:24:29.368Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T01:24:33.180Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T01:24:33.614Z] 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. [2026-02-19T01:24:33.614Z] The best model improves the baseline by 14.34%. [2026-02-19T01:24:33.967Z] Top recommended movies for user id 72: [2026-02-19T01:24:33.967Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T01:24:33.967Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T01:24:33.967Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T01:24:33.967Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T01:24:33.967Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T01:24:33.967Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (44364.759 ms) ====== [2026-02-19T01:24:34.295Z] 01:24:34.168 WARN [Thread-1] org.renaissance.core - Error deleting scratch directory C:\jenkins\workspace\Test_openjdk17_hs_extended.perf_x86-64_windows\aqa-tests\TKG\output_1771461363527\renaissance-movie-lens_0\harness-010853-6989411448074156391: harness-010853-6989411448074156391\apache-spark\lib\activation-1.1.1.jar: The process cannot access the file because it is being used by another process [2026-02-19T01:24:34.295Z] [2026-02-19T01:24:34.094+0000] org.renaissance.core (org.renaissance.core.DirUtils lambda$createScratchDirectory$1) [2026-02-19T01:24:34.295Z] WARNING: Error deleting scratch directory C:\jenkins\workspace\Test_openjdk17_hs_extended.perf_x86-64_windows\aqa-tests\TKG\output_1771461363527\renaissance-movie-lens_0\harness-010853-6989411448074156391: harness-010853-6989411448074156391\apache-spark\lib\activation-1.1.1.jar: The process cannot access the file because it is being used by another process [2026-02-19T01:24:34.622Z] ----------------------------------- [2026-02-19T01:24:34.622Z] renaissance-movie-lens_0_PASSED [2026-02-19T01:24:34.622Z] ----------------------------------- [2026-02-19T01:24:34.932Z] [2026-02-19T01:24:34.932Z] TEST TEARDOWN: [2026-02-19T01:24:34.932Z] Nothing to be done for teardown. [2026-02-19T01:24:34.932Z] renaissance-movie-lens_0 Finish Time: Thu Feb 19 01:24:34 2026 Epoch Time (ms): 1771464274867