[2026-02-25T22:48:18.053Z] Running test renaissance-movie-lens_0 ... [2026-02-25T22:48:18.053Z] =============================================== [2026-02-25T22:48:18.053Z] renaissance-movie-lens_0 Start Time: Wed Feb 25 16:48:17 2026 Epoch Time (ms): 1772059697590 [2026-02-25T22:48:18.053Z] variation: NoOptions [2026-02-25T22:48:18.053Z] JVM_OPTIONS: [2026-02-25T22:48:18.053Z] { \ [2026-02-25T22:48:18.053Z] echo ""; echo "TEST SETUP:"; \ [2026-02-25T22:48:18.053Z] echo "Nothing to be done for setup."; \ [2026-02-25T22:48:18.053Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17720580082828/renaissance-movie-lens_0"; \ [2026-02-25T22:48:18.053Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17720580082828/renaissance-movie-lens_0"; \ [2026-02-25T22:48:18.053Z] echo ""; echo "TESTING:"; \ [2026-02-25T22:48:18.053Z] "/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_17720580082828/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-25T22:48:18.053Z] 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_17720580082828/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-25T22:48:18.053Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-25T22:48:18.053Z] echo "Nothing to be done for teardown."; \ [2026-02-25T22:48:18.053Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17720580082828/TestTargetResult"; [2026-02-25T22:48:18.053Z] [2026-02-25T22:48:18.053Z] TEST SETUP: [2026-02-25T22:48:18.053Z] Nothing to be done for setup. [2026-02-25T22:48:18.053Z] [2026-02-25T22:48:18.053Z] TESTING: [2026-02-25T22:48:25.613Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-02-25T22:48:35.035Z] 16:48:34.091 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-02-25T22:48:38.309Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-25T22:48:38.973Z] Training: 60056, validation: 20285, test: 19854 [2026-02-25T22:48:38.973Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-25T22:48:38.973Z] GC before operation: completed in 259.653 ms, heap usage 246.291 MB -> 75.529 MB. [2026-02-25T22:48:46.909Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:48:54.795Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:49:01.313Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:49:08.534Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:49:11.411Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:49:15.584Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:49:19.017Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:49:22.307Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:49:22.307Z] 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. [2026-02-25T22:49:23.030Z] The best model improves the baseline by 14.34%. [2026-02-25T22:49:23.030Z] Top recommended movies for user id 72: [2026-02-25T22:49:23.030Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-25T22:49:23.030Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-25T22:49:23.030Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-25T22:49:23.030Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-25T22:49:23.030Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-25T22:49:23.030Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (44272.993 ms) ====== [2026-02-25T22:49:23.030Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-25T22:49:23.723Z] GC before operation: completed in 319.167 ms, heap usage 429.790 MB -> 99.504 MB. [2026-02-25T22:49:30.155Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:49:36.808Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:49:42.117Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:49:47.912Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:49:51.327Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:49:54.641Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:49:59.114Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:50:02.437Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:50:03.180Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-25T22:50:03.180Z] The best model improves the baseline by 14.34%. [2026-02-25T22:50:03.989Z] Top recommended movies for user id 72: [2026-02-25T22:50:03.989Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-25T22:50:03.989Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-25T22:50:03.989Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-25T22:50:03.989Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-25T22:50:03.989Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-25T22:50:03.989Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (40025.915 ms) ====== [2026-02-25T22:50:03.989Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-25T22:50:03.989Z] GC before operation: completed in 510.245 ms, heap usage 154.312 MB -> 87.635 MB. [2026-02-25T22:50:09.896Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:50:15.295Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:50:21.767Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:50:27.009Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:50:30.312Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:50:32.649Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:50:35.857Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:50:40.147Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:50:40.845Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-25T22:50:40.845Z] The best model improves the baseline by 14.34%. [2026-02-25T22:50:41.648Z] Top recommended movies for user id 72: [2026-02-25T22:50:41.648Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-25T22:50:41.648Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-25T22:50:41.648Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-25T22:50:41.648Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-25T22:50:41.648Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-25T22:50:41.648Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (37211.793 ms) ====== [2026-02-25T22:50:41.648Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-25T22:50:41.648Z] GC before operation: completed in 368.657 ms, heap usage 387.326 MB -> 88.588 MB. [2026-02-25T22:50:46.936Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:50:53.170Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:50:57.372Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:51:02.581Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:51:06.690Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:51:09.899Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:51:13.125Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:51:16.361Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:51:16.361Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-25T22:51:16.361Z] The best model improves the baseline by 14.34%. [2026-02-25T22:51:16.361Z] Top recommended movies for user id 72: [2026-02-25T22:51:16.361Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-25T22:51:16.361Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-25T22:51:16.361Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-25T22:51:16.361Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-25T22:51:16.361Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-25T22:51:16.361Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (34882.795 ms) ====== [2026-02-25T22:51:16.361Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-25T22:51:17.013Z] GC before operation: completed in 259.759 ms, heap usage 393.439 MB -> 88.958 MB. [2026-02-25T22:51:22.331Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:51:25.475Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:51:31.829Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:51:36.078Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:51:40.007Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:51:41.512Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:51:44.674Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:51:47.841Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:51:48.548Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-25T22:51:48.548Z] The best model improves the baseline by 14.34%. [2026-02-25T22:51:48.548Z] Top recommended movies for user id 72: [2026-02-25T22:51:48.549Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-25T22:51:48.549Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-25T22:51:48.549Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-25T22:51:48.549Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-25T22:51:48.549Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-25T22:51:48.549Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (31893.947 ms) ====== [2026-02-25T22:51:48.549Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-25T22:51:49.280Z] GC before operation: completed in 278.343 ms, heap usage 393.627 MB -> 88.911 MB. [2026-02-25T22:51:54.489Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:51:59.897Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:52:06.396Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:52:09.692Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:52:13.819Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:52:16.197Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:52:19.317Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:52:21.577Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:52:22.287Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-25T22:52:22.287Z] The best model improves the baseline by 14.34%. [2026-02-25T22:52:22.287Z] Top recommended movies for user id 72: [2026-02-25T22:52:22.287Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-25T22:52:22.287Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-25T22:52:22.287Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-25T22:52:22.287Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-25T22:52:22.287Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-25T22:52:22.287Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (33385.700 ms) ====== [2026-02-25T22:52:22.287Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-25T22:52:22.287Z] GC before operation: completed in 197.123 ms, heap usage 325.462 MB -> 89.089 MB. [2026-02-25T22:52:27.099Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:52:32.365Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:52:37.666Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:52:43.148Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:52:45.390Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:52:49.561Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:52:52.782Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:52:56.157Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:52:56.157Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-25T22:52:56.157Z] The best model improves the baseline by 14.34%. [2026-02-25T22:52:56.901Z] Top recommended movies for user id 72: [2026-02-25T22:52:56.901Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-25T22:52:56.901Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-25T22:52:56.901Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-25T22:52:56.901Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-25T22:52:56.901Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-25T22:52:56.901Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (34092.799 ms) ====== [2026-02-25T22:52:56.901Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-25T22:52:56.901Z] GC before operation: completed in 249.193 ms, heap usage 291.909 MB -> 88.982 MB. [2026-02-25T22:53:02.168Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:53:06.558Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:53:12.823Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:53:16.908Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:53:21.232Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:53:24.396Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:53:26.712Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:53:29.953Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:53:30.722Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-25T22:53:30.723Z] The best model improves the baseline by 14.34%. [2026-02-25T22:53:31.434Z] Top recommended movies for user id 72: [2026-02-25T22:53:31.434Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-25T22:53:31.434Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-25T22:53:31.434Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-25T22:53:31.434Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-25T22:53:31.434Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-25T22:53:31.434Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (34191.019 ms) ====== [2026-02-25T22:53:31.434Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-25T22:53:31.434Z] GC before operation: completed in 231.699 ms, heap usage 321.579 MB -> 89.314 MB. [2026-02-25T22:53:36.775Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:53:40.917Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:53:47.425Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:53:51.557Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:53:54.666Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:53:56.927Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:54:02.038Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:54:03.478Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:54:03.478Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-25T22:54:03.478Z] The best model improves the baseline by 14.34%. [2026-02-25T22:54:03.478Z] Top recommended movies for user id 72: [2026-02-25T22:54:03.478Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-25T22:54:03.478Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-25T22:54:03.478Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-25T22:54:03.478Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-25T22:54:03.478Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-25T22:54:03.478Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (32471.756 ms) ====== [2026-02-25T22:54:03.478Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-25T22:54:04.156Z] GC before operation: completed in 170.862 ms, heap usage 211.681 MB -> 88.971 MB. [2026-02-25T22:54:09.560Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:54:13.680Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:54:17.882Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:54:23.077Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:54:25.347Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:54:28.607Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:54:31.831Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:54:34.083Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:54:34.083Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-25T22:54:34.083Z] The best model improves the baseline by 14.34%. [2026-02-25T22:54:34.818Z] Top recommended movies for user id 72: [2026-02-25T22:54:34.818Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-25T22:54:34.818Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-25T22:54:34.818Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-25T22:54:34.818Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-25T22:54:34.818Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-25T22:54:34.818Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (30817.754 ms) ====== [2026-02-25T22:54:34.818Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-25T22:54:34.818Z] GC before operation: completed in 239.192 ms, heap usage 150.401 MB -> 89.118 MB. [2026-02-25T22:54:40.038Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:54:44.188Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:54:49.820Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:54:53.907Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:54:56.123Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:54:59.277Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:55:02.567Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:55:04.847Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:55:05.520Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-25T22:55:05.520Z] The best model improves the baseline by 14.34%. [2026-02-25T22:55:05.520Z] Top recommended movies for user id 72: [2026-02-25T22:55:05.520Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-25T22:55:05.520Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-25T22:55:05.520Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-25T22:55:05.520Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-25T22:55:05.520Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-25T22:55:05.520Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (30580.284 ms) ====== [2026-02-25T22:55:05.520Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-25T22:55:05.520Z] GC before operation: completed in 186.522 ms, heap usage 337.317 MB -> 89.217 MB. [2026-02-25T22:55:10.668Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:55:15.947Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:55:21.118Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:55:25.427Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:55:27.808Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:55:31.028Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:55:36.307Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:55:37.748Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:55:38.461Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-25T22:55:38.461Z] The best model improves the baseline by 14.34%. [2026-02-25T22:55:38.461Z] Top recommended movies for user id 72: [2026-02-25T22:55:38.461Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-25T22:55:38.461Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-25T22:55:38.461Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-25T22:55:38.461Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-25T22:55:38.461Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-25T22:55:38.461Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (32950.183 ms) ====== [2026-02-25T22:55:38.461Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-25T22:55:39.223Z] GC before operation: completed in 223.635 ms, heap usage 163.567 MB -> 89.216 MB. [2026-02-25T22:55:43.453Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:55:48.766Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:55:54.117Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:55:59.374Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:56:03.699Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:56:07.067Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:56:11.422Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:56:14.663Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:56:15.339Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-25T22:56:15.339Z] The best model improves the baseline by 14.34%. [2026-02-25T22:56:15.339Z] Top recommended movies for user id 72: [2026-02-25T22:56:15.339Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-25T22:56:15.339Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-25T22:56:15.339Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-25T22:56:15.339Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-25T22:56:15.339Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-25T22:56:15.339Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (36330.375 ms) ====== [2026-02-25T22:56:15.339Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-25T22:56:15.339Z] GC before operation: completed in 213.943 ms, heap usage 264.678 MB -> 89.439 MB. [2026-02-25T22:56:20.599Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:56:26.368Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:56:32.756Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:56:36.940Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:56:40.180Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:56:42.469Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:56:45.598Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:56:48.757Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:56:48.757Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-25T22:56:48.757Z] The best model improves the baseline by 14.34%. [2026-02-25T22:56:48.757Z] Top recommended movies for user id 72: [2026-02-25T22:56:48.757Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-25T22:56:48.757Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-25T22:56:48.757Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-25T22:56:48.757Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-25T22:56:48.757Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-25T22:56:48.757Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (33521.522 ms) ====== [2026-02-25T22:56:48.757Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-25T22:56:49.499Z] GC before operation: completed in 353.523 ms, heap usage 320.563 MB -> 89.393 MB. [2026-02-25T22:56:54.589Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:57:00.966Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:57:05.177Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:57:10.886Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:57:13.185Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:57:17.363Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:57:20.526Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:57:22.829Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:57:23.551Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-25T22:57:23.551Z] The best model improves the baseline by 14.34%. [2026-02-25T22:57:24.249Z] Top recommended movies for user id 72: [2026-02-25T22:57:24.249Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-25T22:57:24.249Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-25T22:57:24.249Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-25T22:57:24.249Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-25T22:57:24.249Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-25T22:57:24.249Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (34782.337 ms) ====== [2026-02-25T22:57:24.249Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-25T22:57:24.249Z] GC before operation: completed in 202.608 ms, heap usage 168.678 MB -> 89.335 MB. [2026-02-25T22:57:29.503Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:57:34.727Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:57:39.946Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:57:45.287Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:57:49.518Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:57:52.684Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:57:55.935Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:58:00.502Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:58:00.502Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-25T22:58:00.502Z] The best model improves the baseline by 14.34%. [2026-02-25T22:58:00.502Z] Top recommended movies for user id 72: [2026-02-25T22:58:00.502Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-25T22:58:00.502Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-25T22:58:00.502Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-25T22:58:00.502Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-25T22:58:00.502Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-25T22:58:00.502Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (34910.584 ms) ====== [2026-02-25T22:58:00.502Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-25T22:58:00.502Z] GC before operation: completed in 349.458 ms, heap usage 190.822 MB -> 89.208 MB. [2026-02-25T22:58:04.624Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:58:09.859Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:58:15.299Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:58:20.539Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:58:23.786Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:58:26.961Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:58:31.307Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:58:34.527Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:58:35.208Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-25T22:58:35.208Z] The best model improves the baseline by 14.34%. [2026-02-25T22:58:35.937Z] Top recommended movies for user id 72: [2026-02-25T22:58:35.937Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-25T22:58:35.937Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-25T22:58:35.937Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-25T22:58:35.937Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-25T22:58:35.937Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-25T22:58:35.937Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (35945.742 ms) ====== [2026-02-25T22:58:35.937Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-25T22:58:35.937Z] GC before operation: completed in 243.744 ms, heap usage 218.338 MB -> 89.356 MB. [2026-02-25T22:58:41.348Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:58:47.311Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:58:53.743Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:58:58.969Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:59:02.231Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:59:06.450Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:59:10.834Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:59:14.056Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:59:14.056Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-25T22:59:14.724Z] The best model improves the baseline by 14.34%. [2026-02-25T22:59:14.724Z] Top recommended movies for user id 72: [2026-02-25T22:59:14.724Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-25T22:59:14.724Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-25T22:59:14.724Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-25T22:59:14.724Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-25T22:59:14.724Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-25T22:59:14.724Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (38756.384 ms) ====== [2026-02-25T22:59:14.724Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-25T22:59:14.724Z] GC before operation: completed in 205.287 ms, heap usage 233.405 MB -> 89.198 MB. [2026-02-25T22:59:20.228Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:59:24.257Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T22:59:29.497Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T22:59:35.256Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T22:59:36.787Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T22:59:40.057Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T22:59:44.312Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T22:59:46.619Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T22:59:47.317Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-25T22:59:47.317Z] The best model improves the baseline by 14.34%. [2026-02-25T22:59:47.317Z] Top recommended movies for user id 72: [2026-02-25T22:59:47.317Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-25T22:59:47.317Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-25T22:59:47.317Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-25T22:59:47.317Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-25T22:59:47.317Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-25T22:59:47.317Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (32598.388 ms) ====== [2026-02-25T22:59:47.317Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-25T22:59:48.012Z] GC before operation: completed in 290.719 ms, heap usage 327.356 MB -> 89.448 MB. [2026-02-25T22:59:52.213Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-25T22:59:56.386Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-25T23:00:03.012Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-25T23:00:07.865Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-25T23:00:11.582Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-25T23:00:14.271Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-25T23:00:17.822Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-25T23:00:20.423Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-25T23:00:21.359Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-25T23:00:21.359Z] The best model improves the baseline by 14.34%. [2026-02-25T23:00:21.359Z] Top recommended movies for user id 72: [2026-02-25T23:00:21.359Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-25T23:00:21.359Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-25T23:00:21.359Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-25T23:00:21.359Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-25T23:00:21.359Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-25T23:00:21.359Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (33914.570 ms) ====== [2026-02-25T23:00:23.619Z] ----------------------------------- [2026-02-25T23:00:23.619Z] renaissance-movie-lens_0_PASSED [2026-02-25T23:00:23.619Z] ----------------------------------- [2026-02-25T23:00:23.619Z] [2026-02-25T23:00:23.619Z] TEST TEARDOWN: [2026-02-25T23:00:23.619Z] Nothing to be done for teardown. [2026-02-25T23:00:23.619Z] renaissance-movie-lens_0 Finish Time: Wed Feb 25 17:00:21 2026 Epoch Time (ms): 1772060421905