[2026-03-04T23:20:18.057Z] Running test renaissance-movie-lens_0 ... [2026-03-04T23:20:18.057Z] =============================================== [2026-03-04T23:20:18.057Z] renaissance-movie-lens_0 Start Time: Wed Mar 4 23:20:17 2026 Epoch Time (ms): 1772666417764 [2026-03-04T23:20:18.057Z] variation: NoOptions [2026-03-04T23:20:18.057Z] JVM_OPTIONS: [2026-03-04T23:20:18.057Z] { \ [2026-03-04T23:20:18.057Z] echo ""; echo "TEST SETUP:"; \ [2026-03-04T23:20:18.057Z] echo "Nothing to be done for setup."; \ [2026-03-04T23:20:18.057Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17726649278792/renaissance-movie-lens_0"; \ [2026-03-04T23:20:18.057Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17726649278792/renaissance-movie-lens_0"; \ [2026-03-04T23:20:18.057Z] echo ""; echo "TESTING:"; \ [2026-03-04T23:20:18.057Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17726649278792/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-04T23:20:18.057Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17726649278792/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-04T23:20:18.057Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-04T23:20:18.057Z] echo "Nothing to be done for teardown."; \ [2026-03-04T23:20:18.057Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17726649278792/TestTargetResult"; [2026-03-04T23:20:18.057Z] [2026-03-04T23:20:18.057Z] TEST SETUP: [2026-03-04T23:20:18.057Z] Nothing to be done for setup. [2026-03-04T23:20:18.057Z] [2026-03-04T23:20:18.057Z] TESTING: [2026-03-04T23:20:24.052Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-03-04T23:20:35.044Z] 23:20:33.210 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. [2026-03-04T23:20:37.347Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-04T23:20:38.075Z] Training: 60056, validation: 20285, test: 19854 [2026-03-04T23:20:38.075Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-04T23:20:38.413Z] GC before operation: completed in 245.139 ms, heap usage 151.645 MB -> 74.120 MB. [2026-03-04T23:20:49.500Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:20:56.907Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:21:01.761Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:21:07.797Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:21:10.271Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:21:13.538Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:21:16.621Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:21:19.731Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:21:20.095Z] 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. [2026-03-04T23:21:20.096Z] The best model improves the baseline by 14.34%. [2026-03-04T23:21:20.452Z] Top recommended movies for user id 72: [2026-03-04T23:21:20.452Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T23:21:20.452Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T23:21:20.452Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T23:21:20.452Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T23:21:20.452Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T23:21:20.452Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (42165.069 ms) ====== [2026-03-04T23:21:20.452Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-04T23:21:20.992Z] GC before operation: completed in 208.627 ms, heap usage 210.899 MB -> 84.617 MB. [2026-03-04T23:21:25.323Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:21:29.171Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:21:34.055Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:21:37.900Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:21:40.210Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:21:41.906Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:21:45.072Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:21:47.671Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:21:47.671Z] 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. [2026-03-04T23:21:47.671Z] The best model improves the baseline by 14.34%. [2026-03-04T23:21:47.671Z] Top recommended movies for user id 72: [2026-03-04T23:21:47.671Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T23:21:47.671Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T23:21:47.671Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T23:21:47.671Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T23:21:47.671Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T23:21:47.671Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (26748.169 ms) ====== [2026-03-04T23:21:47.671Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-04T23:21:47.671Z] GC before operation: completed in 198.128 ms, heap usage 295.436 MB -> 86.780 MB. [2026-03-04T23:21:52.839Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:21:56.759Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:22:01.712Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:22:06.620Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:22:09.648Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:22:11.955Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:22:14.974Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:22:17.281Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:22:17.624Z] 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. [2026-03-04T23:22:17.963Z] The best model improves the baseline by 14.34%. [2026-03-04T23:22:17.963Z] Top recommended movies for user id 72: [2026-03-04T23:22:17.963Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T23:22:17.963Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T23:22:17.963Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T23:22:17.963Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T23:22:17.963Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T23:22:17.963Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (30309.382 ms) ====== [2026-03-04T23:22:17.963Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-04T23:22:18.308Z] GC before operation: completed in 211.775 ms, heap usage 94.884 MB -> 86.793 MB. [2026-03-04T23:22:23.174Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:22:26.197Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:22:31.089Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:22:34.939Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:22:37.257Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:22:40.285Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:22:42.598Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:22:45.625Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:22:45.625Z] 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. [2026-03-04T23:22:45.625Z] The best model improves the baseline by 14.34%. [2026-03-04T23:22:45.964Z] Top recommended movies for user id 72: [2026-03-04T23:22:45.964Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T23:22:45.964Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T23:22:45.964Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T23:22:45.964Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T23:22:45.964Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T23:22:45.964Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (27582.036 ms) ====== [2026-03-04T23:22:45.964Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-04T23:22:45.964Z] GC before operation: completed in 208.929 ms, heap usage 271.031 MB -> 87.455 MB. [2026-03-04T23:22:50.840Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:22:55.764Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:22:59.655Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:23:03.521Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:23:06.574Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:23:08.896Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:23:11.202Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:23:13.514Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:23:13.853Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-04T23:23:13.853Z] The best model improves the baseline by 14.34%. [2026-03-04T23:23:13.853Z] Top recommended movies for user id 72: [2026-03-04T23:23:13.853Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T23:23:13.853Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T23:23:13.853Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T23:23:13.853Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T23:23:13.853Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T23:23:13.853Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (27945.374 ms) ====== [2026-03-04T23:23:13.853Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-04T23:23:14.194Z] GC before operation: completed in 203.925 ms, heap usage 236.857 MB -> 87.329 MB. [2026-03-04T23:23:19.111Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:23:22.995Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:23:26.852Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:23:30.746Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:23:33.090Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:23:35.401Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:23:38.489Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:23:40.804Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:23:40.805Z] 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. [2026-03-04T23:23:40.805Z] The best model improves the baseline by 14.34%. [2026-03-04T23:23:41.147Z] Top recommended movies for user id 72: [2026-03-04T23:23:41.147Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T23:23:41.147Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T23:23:41.147Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T23:23:41.147Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T23:23:41.147Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T23:23:41.147Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (26915.656 ms) ====== [2026-03-04T23:23:41.147Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-04T23:23:41.147Z] GC before operation: completed in 211.974 ms, heap usage 197.173 MB -> 87.537 MB. [2026-03-04T23:23:45.028Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:23:48.042Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:23:51.997Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:23:55.011Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:23:57.315Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:23:59.654Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:24:01.958Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:24:04.267Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:24:04.608Z] 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. [2026-03-04T23:24:04.608Z] The best model improves the baseline by 14.34%. [2026-03-04T23:24:04.608Z] Top recommended movies for user id 72: [2026-03-04T23:24:04.608Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T23:24:04.608Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T23:24:04.608Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T23:24:04.608Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T23:24:04.608Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T23:24:04.608Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (23327.177 ms) ====== [2026-03-04T23:24:04.608Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-04T23:24:04.945Z] GC before operation: completed in 201.165 ms, heap usage 428.057 MB -> 87.913 MB. [2026-03-04T23:24:08.799Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:24:13.655Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:24:16.774Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:24:20.679Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:24:23.714Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:24:26.031Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:24:28.343Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:24:30.668Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:24:30.668Z] 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. [2026-03-04T23:24:30.668Z] The best model improves the baseline by 14.34%. [2026-03-04T23:24:30.668Z] Top recommended movies for user id 72: [2026-03-04T23:24:30.668Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T23:24:30.668Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T23:24:30.668Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T23:24:30.668Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T23:24:30.668Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T23:24:30.668Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (26005.506 ms) ====== [2026-03-04T23:24:30.668Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-04T23:24:31.008Z] GC before operation: completed in 189.697 ms, heap usage 105.271 MB -> 87.598 MB. [2026-03-04T23:24:34.865Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:24:38.722Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:24:42.581Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:24:46.530Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:24:48.845Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:24:51.160Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:24:54.190Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:24:56.506Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:24:56.506Z] 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. [2026-03-04T23:24:56.506Z] The best model improves the baseline by 14.34%. [2026-03-04T23:24:56.848Z] Top recommended movies for user id 72: [2026-03-04T23:24:56.848Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T23:24:56.848Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T23:24:56.848Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T23:24:56.848Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T23:24:56.848Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T23:24:56.848Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (25919.131 ms) ====== [2026-03-04T23:24:56.848Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-04T23:24:57.191Z] GC before operation: completed in 202.489 ms, heap usage 182.475 MB -> 87.588 MB. [2026-03-04T23:25:02.052Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:25:05.912Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:25:09.775Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:25:12.900Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:25:15.311Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:25:17.633Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:25:19.958Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:25:22.268Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:25:22.611Z] 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. [2026-03-04T23:25:22.611Z] The best model improves the baseline by 14.34%. [2026-03-04T23:25:22.948Z] Top recommended movies for user id 72: [2026-03-04T23:25:22.948Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T23:25:22.948Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T23:25:22.948Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T23:25:22.948Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T23:25:22.948Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T23:25:22.948Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (25711.489 ms) ====== [2026-03-04T23:25:22.948Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-04T23:25:22.948Z] GC before operation: completed in 202.444 ms, heap usage 204.869 MB -> 87.766 MB. [2026-03-04T23:25:26.811Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:25:31.656Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:25:34.704Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:25:38.549Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:25:40.248Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:25:43.346Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:25:45.654Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:25:47.982Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:25:47.982Z] 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. [2026-03-04T23:25:47.982Z] The best model improves the baseline by 14.34%. [2026-03-04T23:25:47.982Z] Top recommended movies for user id 72: [2026-03-04T23:25:47.982Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T23:25:47.982Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T23:25:47.982Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T23:25:47.982Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T23:25:47.982Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T23:25:47.982Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (25066.768 ms) ====== [2026-03-04T23:25:47.982Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-04T23:25:48.321Z] GC before operation: completed in 190.329 ms, heap usage 199.657 MB -> 87.542 MB. [2026-03-04T23:25:52.177Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:25:56.035Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:25:59.994Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:26:04.034Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:26:05.820Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:26:08.429Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:26:10.878Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:26:12.903Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:26:12.903Z] 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. [2026-03-04T23:26:12.903Z] The best model improves the baseline by 14.34%. [2026-03-04T23:26:13.243Z] Top recommended movies for user id 72: [2026-03-04T23:26:13.243Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T23:26:13.243Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T23:26:13.243Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T23:26:13.243Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T23:26:13.243Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T23:26:13.243Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (24805.752 ms) ====== [2026-03-04T23:26:13.243Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-04T23:26:13.243Z] GC before operation: completed in 189.877 ms, heap usage 269.610 MB -> 87.868 MB. [2026-03-04T23:26:17.191Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:26:20.210Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:26:23.221Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:26:26.314Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:26:28.615Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:26:30.408Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:26:32.718Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:26:34.414Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:26:34.754Z] 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. [2026-03-04T23:26:34.754Z] The best model improves the baseline by 14.34%. [2026-03-04T23:26:34.754Z] Top recommended movies for user id 72: [2026-03-04T23:26:34.754Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T23:26:34.754Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T23:26:34.754Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T23:26:34.754Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T23:26:34.754Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T23:26:34.754Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (21473.625 ms) ====== [2026-03-04T23:26:34.754Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-04T23:26:35.096Z] GC before operation: completed in 197.901 ms, heap usage 241.940 MB -> 87.973 MB. [2026-03-04T23:26:39.036Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:26:42.892Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:26:46.893Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:26:50.879Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:26:53.186Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:26:54.891Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:26:57.911Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:26:59.616Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:26:59.954Z] 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. [2026-03-04T23:26:59.954Z] The best model improves the baseline by 14.34%. [2026-03-04T23:26:59.954Z] Top recommended movies for user id 72: [2026-03-04T23:26:59.954Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T23:26:59.954Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T23:26:59.954Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T23:26:59.954Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T23:26:59.954Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T23:26:59.954Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (25082.078 ms) ====== [2026-03-04T23:26:59.954Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-04T23:27:00.297Z] GC before operation: completed in 188.185 ms, heap usage 151.764 MB -> 87.631 MB. [2026-03-04T23:27:04.147Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:27:08.086Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:27:11.957Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:27:14.976Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:27:17.285Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:27:19.606Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:27:21.912Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:27:24.378Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:27:24.378Z] 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. [2026-03-04T23:27:24.378Z] The best model improves the baseline by 14.34%. [2026-03-04T23:27:24.716Z] Top recommended movies for user id 72: [2026-03-04T23:27:24.716Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T23:27:24.716Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T23:27:24.716Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T23:27:24.716Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T23:27:24.716Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T23:27:24.716Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (24420.539 ms) ====== [2026-03-04T23:27:24.716Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-04T23:27:24.716Z] GC before operation: completed in 189.056 ms, heap usage 118.099 MB -> 87.773 MB. [2026-03-04T23:27:28.577Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:27:32.442Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:27:36.398Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:27:39.426Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:27:41.738Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:27:44.057Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:27:46.363Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:27:48.676Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:27:49.017Z] 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. [2026-03-04T23:27:49.017Z] The best model improves the baseline by 14.34%. [2026-03-04T23:27:49.017Z] Top recommended movies for user id 72: [2026-03-04T23:27:49.017Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T23:27:49.017Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T23:27:49.017Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T23:27:49.017Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T23:27:49.017Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T23:27:49.017Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (24284.648 ms) ====== [2026-03-04T23:27:49.017Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-04T23:27:49.361Z] GC before operation: completed in 191.864 ms, heap usage 276.329 MB -> 87.888 MB. [2026-03-04T23:27:53.216Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:27:56.243Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:28:00.095Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:28:02.482Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:28:04.794Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:28:06.499Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:28:08.216Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:28:10.531Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:28:10.531Z] 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. [2026-03-04T23:28:10.531Z] The best model improves the baseline by 14.34%. [2026-03-04T23:28:10.531Z] Top recommended movies for user id 72: [2026-03-04T23:28:10.531Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T23:28:10.531Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T23:28:10.531Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T23:28:10.531Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T23:28:10.531Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T23:28:10.531Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (21273.112 ms) ====== [2026-03-04T23:28:10.531Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-04T23:28:10.872Z] GC before operation: completed in 202.303 ms, heap usage 156.745 MB -> 87.776 MB. [2026-03-04T23:28:14.727Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:28:18.599Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:28:22.460Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:28:26.326Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:28:28.136Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:28:30.448Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:28:32.763Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:28:35.085Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:28:35.085Z] 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. [2026-03-04T23:28:35.425Z] The best model improves the baseline by 14.34%. [2026-03-04T23:28:35.425Z] Top recommended movies for user id 72: [2026-03-04T23:28:35.425Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T23:28:35.425Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T23:28:35.425Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T23:28:35.425Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T23:28:35.425Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T23:28:35.425Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (24608.329 ms) ====== [2026-03-04T23:28:35.425Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-04T23:28:35.765Z] GC before operation: completed in 187.216 ms, heap usage 279.290 MB -> 87.803 MB. [2026-03-04T23:28:38.788Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:28:41.810Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:28:45.661Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:28:48.690Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:28:50.397Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:28:52.101Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:28:54.417Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:28:56.207Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:28:56.547Z] 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. [2026-03-04T23:28:56.547Z] The best model improves the baseline by 14.34%. [2026-03-04T23:28:56.547Z] Top recommended movies for user id 72: [2026-03-04T23:28:56.547Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T23:28:56.547Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T23:28:56.547Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T23:28:56.547Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T23:28:56.547Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T23:28:56.547Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (21004.949 ms) ====== [2026-03-04T23:28:56.547Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-04T23:28:56.887Z] GC before operation: completed in 202.492 ms, heap usage 526.251 MB -> 91.497 MB. [2026-03-04T23:29:00.788Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:29:04.750Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:29:08.621Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:29:11.638Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:29:14.267Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:29:16.122Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:29:18.784Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:29:20.507Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:29:20.864Z] 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. [2026-03-04T23:29:20.864Z] The best model improves the baseline by 14.34%. [2026-03-04T23:29:21.212Z] Top recommended movies for user id 72: [2026-03-04T23:29:21.212Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T23:29:21.212Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T23:29:21.212Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T23:29:21.212Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T23:29:21.212Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T23:29:21.212Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (24316.795 ms) ====== [2026-03-04T23:29:21.549Z] ----------------------------------- [2026-03-04T23:29:21.549Z] renaissance-movie-lens_0_PASSED [2026-03-04T23:29:21.549Z] ----------------------------------- [2026-03-04T23:29:21.549Z] [2026-03-04T23:29:21.549Z] TEST TEARDOWN: [2026-03-04T23:29:21.549Z] Nothing to be done for teardown. [2026-03-04T23:29:21.549Z] renaissance-movie-lens_0 Finish Time: Wed Mar 4 23:29:21 2026 Epoch Time (ms): 1772666961438