[2026-03-04T22:40:00.448Z] Running test renaissance-movie-lens_0 ... [2026-03-04T22:40:00.448Z] =============================================== [2026-03-04T22:40:00.448Z] renaissance-movie-lens_0 Start Time: Wed Mar 4 17:39:59 2026 Epoch Time (ms): 1772663999739 [2026-03-04T22:40:00.448Z] variation: NoOptions [2026-03-04T22:40:00.448Z] JVM_OPTIONS: [2026-03-04T22:40:00.448Z] { \ [2026-03-04T22:40:00.448Z] echo ""; echo "TEST SETUP:"; \ [2026-03-04T22:40:00.448Z] echo "Nothing to be done for setup."; \ [2026-03-04T22:40:00.448Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_1772662928868/renaissance-movie-lens_0"; \ [2026-03-04T22:40:00.448Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_1772662928868/renaissance-movie-lens_0"; \ [2026-03-04T22:40:00.448Z] echo ""; echo "TESTING:"; \ [2026-03-04T22:40:00.448Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_1772662928868/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-04T22:40:00.448Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_1772662928868/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-04T22:40:00.448Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-04T22:40:00.448Z] echo "Nothing to be done for teardown."; \ [2026-03-04T22:40:00.448Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_1772662928868/TestTargetResult"; [2026-03-04T22:40:00.448Z] [2026-03-04T22:40:00.448Z] TEST SETUP: [2026-03-04T22:40:00.448Z] Nothing to be done for setup. [2026-03-04T22:40:00.448Z] [2026-03-04T22:40:00.448Z] TESTING: [2026-03-04T22:40:04.415Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-03-04T22:40:10.415Z] 17:40:09.544 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-03-04T22:40:12.561Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-04T22:40:13.915Z] Training: 60056, validation: 20285, test: 19854 [2026-03-04T22:40:13.915Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-04T22:40:13.915Z] GC before operation: completed in 156.807 ms, heap usage 187.192 MB -> 75.491 MB. [2026-03-04T22:40:22.765Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:40:25.685Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:40:29.556Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:40:32.454Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:40:34.506Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:40:36.585Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:40:38.761Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:40:40.224Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:40:40.853Z] 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. [2026-03-04T22:40:40.853Z] The best model improves the baseline by 14.34%. [2026-03-04T22:40:40.853Z] Top recommended movies for user id 72: [2026-03-04T22:40:40.853Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T22:40:40.853Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T22:40:40.854Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T22:40:40.854Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T22:40:40.854Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T22:40:40.854Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (27086.685 ms) ====== [2026-03-04T22:40:40.854Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-04T22:40:40.854Z] GC before operation: completed in 147.444 ms, heap usage 178.049 MB -> 100.428 MB. [2026-03-04T22:40:44.226Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:40:46.355Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:40:50.158Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:40:52.215Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:40:54.325Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:40:55.645Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:40:57.725Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:40:59.035Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:40:59.701Z] 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. [2026-03-04T22:40:59.701Z] The best model improves the baseline by 14.34%. [2026-03-04T22:40:59.701Z] Top recommended movies for user id 72: [2026-03-04T22:40:59.701Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T22:40:59.701Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T22:40:59.701Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T22:40:59.701Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T22:40:59.701Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T22:40:59.701Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18834.314 ms) ====== [2026-03-04T22:40:59.701Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-04T22:40:59.701Z] GC before operation: completed in 163.402 ms, heap usage 397.835 MB -> 88.241 MB. [2026-03-04T22:41:03.638Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:41:07.623Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:41:11.648Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:41:13.826Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:41:15.165Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:41:16.445Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:41:18.484Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:41:19.850Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:41:19.850Z] 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. [2026-03-04T22:41:19.850Z] The best model improves the baseline by 14.34%. [2026-03-04T22:41:19.850Z] Top recommended movies for user id 72: [2026-03-04T22:41:19.850Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T22:41:19.850Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T22:41:19.850Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T22:41:19.850Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T22:41:19.850Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T22:41:19.850Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20084.348 ms) ====== [2026-03-04T22:41:19.850Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-04T22:41:20.475Z] GC before operation: completed in 158.656 ms, heap usage 223.131 MB -> 88.429 MB. [2026-03-04T22:41:22.535Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:41:25.415Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:41:28.315Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:41:30.457Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:41:32.615Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:41:33.904Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:41:35.997Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:41:37.355Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:41:37.355Z] 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. [2026-03-04T22:41:37.355Z] The best model improves the baseline by 14.34%. [2026-03-04T22:41:37.355Z] Top recommended movies for user id 72: [2026-03-04T22:41:37.355Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T22:41:37.356Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T22:41:37.356Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T22:41:37.356Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T22:41:37.356Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T22:41:37.356Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (17367.454 ms) ====== [2026-03-04T22:41:37.356Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-04T22:41:37.985Z] GC before operation: completed in 204.007 ms, heap usage 176.193 MB -> 88.635 MB. [2026-03-04T22:41:40.073Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:41:43.055Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:41:46.167Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:41:49.118Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:41:50.459Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:41:51.833Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:41:54.020Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:41:55.558Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:41:55.558Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-04T22:41:55.558Z] The best model improves the baseline by 14.34%. [2026-03-04T22:41:55.558Z] Top recommended movies for user id 72: [2026-03-04T22:41:55.558Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T22:41:55.558Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T22:41:55.558Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T22:41:55.558Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T22:41:55.558Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T22:41:55.558Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (17861.070 ms) ====== [2026-03-04T22:41:55.558Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-04T22:41:55.558Z] GC before operation: completed in 154.538 ms, heap usage 204.455 MB -> 88.560 MB. [2026-03-04T22:41:58.551Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:42:01.523Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:42:04.724Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:42:06.935Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:42:08.301Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:42:09.822Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:42:12.024Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:42:13.466Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:42:13.466Z] 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. [2026-03-04T22:42:13.466Z] The best model improves the baseline by 14.34%. [2026-03-04T22:42:14.129Z] Top recommended movies for user id 72: [2026-03-04T22:42:14.129Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T22:42:14.129Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T22:42:14.129Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T22:42:14.129Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T22:42:14.129Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T22:42:14.129Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18103.417 ms) ====== [2026-03-04T22:42:14.129Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-04T22:42:14.129Z] GC before operation: completed in 171.465 ms, heap usage 314.953 MB -> 89.127 MB. [2026-03-04T22:42:17.196Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:42:20.249Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:42:22.588Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:42:25.576Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:42:26.963Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:42:28.345Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:42:30.519Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:42:31.959Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:42:31.959Z] 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. [2026-03-04T22:42:31.959Z] The best model improves the baseline by 14.34%. [2026-03-04T22:42:32.643Z] Top recommended movies for user id 72: [2026-03-04T22:42:32.643Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T22:42:32.643Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T22:42:32.643Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T22:42:32.643Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T22:42:32.643Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T22:42:32.643Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (18322.366 ms) ====== [2026-03-04T22:42:32.643Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-04T22:42:32.643Z] GC before operation: completed in 191.455 ms, heap usage 360.386 MB -> 89.315 MB. [2026-03-04T22:42:35.805Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:42:38.006Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:42:41.096Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:42:43.304Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:42:45.556Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:42:46.937Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:42:49.147Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:42:50.635Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:42:50.636Z] 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. [2026-03-04T22:42:50.636Z] The best model improves the baseline by 14.34%. [2026-03-04T22:42:51.428Z] Top recommended movies for user id 72: [2026-03-04T22:42:51.428Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T22:42:51.428Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T22:42:51.428Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T22:42:51.428Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T22:42:51.428Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T22:42:51.428Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (18454.837 ms) ====== [2026-03-04T22:42:51.428Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-04T22:42:51.428Z] GC before operation: completed in 235.417 ms, heap usage 305.422 MB -> 89.409 MB. [2026-03-04T22:42:54.450Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:42:57.586Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:43:00.665Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:43:02.830Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:43:04.976Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:43:06.393Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:43:08.626Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:43:10.095Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:43:10.095Z] 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. [2026-03-04T22:43:10.095Z] The best model improves the baseline by 14.34%. [2026-03-04T22:43:10.744Z] Top recommended movies for user id 72: [2026-03-04T22:43:10.744Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T22:43:10.744Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T22:43:10.744Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T22:43:10.744Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T22:43:10.744Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T22:43:10.744Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19225.374 ms) ====== [2026-03-04T22:43:10.744Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-04T22:43:10.744Z] GC before operation: completed in 246.096 ms, heap usage 230.129 MB -> 89.131 MB. [2026-03-04T22:43:14.385Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:43:18.415Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:43:23.385Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:43:27.275Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:43:29.485Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:43:32.572Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:43:34.005Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:43:35.435Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:43:36.091Z] 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. [2026-03-04T22:43:36.091Z] The best model improves the baseline by 14.34%. [2026-03-04T22:43:36.091Z] Top recommended movies for user id 72: [2026-03-04T22:43:36.091Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T22:43:36.091Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T22:43:36.091Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T22:43:36.091Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T22:43:36.091Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T22:43:36.091Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (25386.482 ms) ====== [2026-03-04T22:43:36.091Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-04T22:43:36.091Z] GC before operation: completed in 163.528 ms, heap usage 258.572 MB -> 89.344 MB. [2026-03-04T22:43:39.108Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:43:42.124Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:43:45.221Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:43:47.394Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:43:49.566Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:43:50.954Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:43:52.395Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:43:54.635Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:43:54.635Z] 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. [2026-03-04T22:43:54.635Z] The best model improves the baseline by 14.34%. [2026-03-04T22:43:54.635Z] Top recommended movies for user id 72: [2026-03-04T22:43:54.635Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T22:43:54.635Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T22:43:54.635Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T22:43:54.635Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T22:43:54.635Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T22:43:54.635Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18471.037 ms) ====== [2026-03-04T22:43:54.635Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-04T22:43:54.635Z] GC before operation: completed in 186.551 ms, heap usage 181.503 MB -> 88.889 MB. [2026-03-04T22:43:57.653Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:44:00.782Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:44:03.011Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:44:06.100Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:44:07.990Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:44:09.417Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:44:11.618Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:44:13.070Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:44:13.741Z] 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. [2026-03-04T22:44:13.741Z] The best model improves the baseline by 14.34%. [2026-03-04T22:44:13.741Z] Top recommended movies for user id 72: [2026-03-04T22:44:13.741Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T22:44:13.741Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T22:44:13.741Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T22:44:13.741Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T22:44:13.741Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T22:44:13.741Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18802.359 ms) ====== [2026-03-04T22:44:13.741Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-04T22:44:13.741Z] GC before operation: completed in 223.415 ms, heap usage 165.970 MB -> 89.193 MB. [2026-03-04T22:44:16.786Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:44:19.753Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:44:22.766Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:44:24.996Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:44:26.430Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:44:28.664Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:44:30.129Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:44:32.329Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:44:32.329Z] 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. [2026-03-04T22:44:32.329Z] The best model improves the baseline by 14.34%. [2026-03-04T22:44:32.329Z] Top recommended movies for user id 72: [2026-03-04T22:44:32.329Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T22:44:32.329Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T22:44:32.329Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T22:44:32.329Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T22:44:32.329Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T22:44:32.329Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18394.567 ms) ====== [2026-03-04T22:44:32.329Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-04T22:44:32.329Z] GC before operation: completed in 175.744 ms, heap usage 212.644 MB -> 89.400 MB. [2026-03-04T22:44:35.317Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:44:38.459Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:44:40.635Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:44:43.774Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:44:45.987Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:44:47.438Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:44:48.913Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:44:51.078Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:44:51.078Z] 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. [2026-03-04T22:44:51.078Z] The best model improves the baseline by 14.34%. [2026-03-04T22:44:51.078Z] Top recommended movies for user id 72: [2026-03-04T22:44:51.078Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T22:44:51.078Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T22:44:51.078Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T22:44:51.078Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T22:44:51.078Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T22:44:51.078Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18676.319 ms) ====== [2026-03-04T22:44:51.078Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-04T22:44:51.078Z] GC before operation: completed in 155.435 ms, heap usage 199.476 MB -> 89.151 MB. [2026-03-04T22:44:54.108Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:44:58.146Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:45:02.462Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:45:05.632Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:45:08.611Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:45:10.818Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:45:13.848Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:45:15.307Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:45:15.307Z] 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. [2026-03-04T22:45:15.996Z] The best model improves the baseline by 14.34%. [2026-03-04T22:45:15.996Z] Top recommended movies for user id 72: [2026-03-04T22:45:15.996Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T22:45:15.996Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T22:45:15.996Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T22:45:15.996Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T22:45:15.996Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T22:45:15.996Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (24581.220 ms) ====== [2026-03-04T22:45:15.996Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-04T22:45:15.996Z] GC before operation: completed in 173.939 ms, heap usage 208.940 MB -> 92.519 MB. [2026-03-04T22:45:19.998Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:45:25.874Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:45:26.533Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:45:29.660Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:45:31.907Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:45:33.287Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:45:35.439Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:45:36.802Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:45:37.422Z] 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. [2026-03-04T22:45:37.422Z] The best model improves the baseline by 14.34%. [2026-03-04T22:45:37.422Z] Top recommended movies for user id 72: [2026-03-04T22:45:37.422Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T22:45:37.422Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T22:45:37.422Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T22:45:37.422Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T22:45:37.422Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T22:45:37.422Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (21276.944 ms) ====== [2026-03-04T22:45:37.422Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-04T22:45:37.422Z] GC before operation: completed in 154.974 ms, heap usage 200.284 MB -> 92.248 MB. [2026-03-04T22:45:41.323Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:45:43.342Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:45:45.467Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:45:47.586Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:45:48.927Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:45:50.235Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:45:52.414Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:45:53.044Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:45:53.724Z] 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. [2026-03-04T22:45:53.724Z] The best model improves the baseline by 14.34%. [2026-03-04T22:45:53.724Z] Top recommended movies for user id 72: [2026-03-04T22:45:53.724Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T22:45:53.724Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T22:45:53.724Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T22:45:53.724Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T22:45:53.724Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T22:45:53.724Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (16163.582 ms) ====== [2026-03-04T22:45:53.724Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-04T22:45:53.724Z] GC before operation: completed in 147.728 ms, heap usage 308.168 MB -> 89.421 MB. [2026-03-04T22:45:56.684Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:45:58.697Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:46:01.661Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:46:03.694Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:46:04.989Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:46:06.315Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:46:08.384Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:46:10.386Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:46:10.386Z] 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. [2026-03-04T22:46:11.025Z] The best model improves the baseline by 14.34%. [2026-03-04T22:46:11.025Z] Top recommended movies for user id 72: [2026-03-04T22:46:11.025Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T22:46:11.025Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T22:46:11.025Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T22:46:11.025Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T22:46:11.025Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T22:46:11.025Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (16978.582 ms) ====== [2026-03-04T22:46:11.025Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-04T22:46:11.025Z] GC before operation: completed in 148.689 ms, heap usage 145.143 MB -> 92.163 MB. [2026-03-04T22:46:14.814Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:46:17.704Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:46:20.664Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:46:22.765Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:46:24.143Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:46:26.235Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:46:27.546Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:46:29.605Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:46:29.605Z] 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. [2026-03-04T22:46:29.605Z] The best model improves the baseline by 14.34%. [2026-03-04T22:46:30.295Z] Top recommended movies for user id 72: [2026-03-04T22:46:30.295Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T22:46:30.295Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T22:46:30.295Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T22:46:30.295Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T22:46:30.295Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T22:46:30.295Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18981.897 ms) ====== [2026-03-04T22:46:30.295Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-04T22:46:30.295Z] GC before operation: completed in 166.982 ms, heap usage 225.739 MB -> 92.386 MB. [2026-03-04T22:46:34.187Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:46:37.115Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:46:39.827Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:46:43.035Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:46:44.384Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:46:45.762Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:46:47.859Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:46:49.940Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:46:49.940Z] 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. [2026-03-04T22:46:49.940Z] The best model improves the baseline by 14.34%. [2026-03-04T22:46:49.940Z] Top recommended movies for user id 72: [2026-03-04T22:46:49.940Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T22:46:49.940Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T22:46:49.940Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T22:46:49.940Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T22:46:49.940Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T22:46:49.940Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19983.801 ms) ====== [2026-03-04T22:46:50.585Z] ----------------------------------- [2026-03-04T22:46:50.585Z] renaissance-movie-lens_0_PASSED [2026-03-04T22:46:50.585Z] ----------------------------------- [2026-03-04T22:46:50.585Z] [2026-03-04T22:46:50.585Z] TEST TEARDOWN: [2026-03-04T22:46:50.585Z] Nothing to be done for teardown. [2026-03-04T22:46:50.585Z] renaissance-movie-lens_0 Finish Time: Wed Mar 4 17:46:50 2026 Epoch Time (ms): 1772664410303