[2026-04-22T15:12:32.245Z] Running test renaissance-movie-lens_0 ... [2026-04-22T15:12:32.245Z] =============================================== [2026-04-22T15:12:32.245Z] renaissance-movie-lens_0 Start Time: Wed Apr 22 15:12:32 2026 Epoch Time (ms): 1776870752024 [2026-04-22T15:12:32.245Z] variation: NoOptions [2026-04-22T15:12:32.245Z] JVM_OPTIONS: [2026-04-22T15:12:32.245Z] { \ [2026-04-22T15:12:32.245Z] echo ""; echo "TEST SETUP:"; \ [2026-04-22T15:12:32.245Z] echo "Nothing to be done for setup."; \ [2026-04-22T15:12:32.245Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17768691392861/renaissance-movie-lens_0"; \ [2026-04-22T15:12:32.245Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17768691392861/renaissance-movie-lens_0"; \ [2026-04-22T15:12:32.245Z] echo ""; echo "TESTING:"; \ [2026-04-22T15:12:32.245Z] "/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_17768691392861/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-22T15:12:32.245Z] 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_17768691392861/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-22T15:12:32.245Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-22T15:12:32.245Z] echo "Nothing to be done for teardown."; \ [2026-04-22T15:12:32.245Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17768691392861/TestTargetResult"; [2026-04-22T15:12:32.245Z] [2026-04-22T15:12:32.245Z] TEST SETUP: [2026-04-22T15:12:32.245Z] Nothing to be done for setup. [2026-04-22T15:12:32.245Z] [2026-04-22T15:12:32.245Z] TESTING: [2026-04-22T15:12:37.677Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-04-22T15:12:45.375Z] 15:12:44.184 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. [2026-04-22T15:12:47.585Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-22T15:12:48.249Z] Training: 60056, validation: 20285, test: 19854 [2026-04-22T15:12:48.249Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-22T15:12:48.249Z] GC before operation: completed in 188.143 ms, heap usage 214.083 MB -> 75.695 MB. [2026-04-22T15:12:55.852Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T15:13:02.207Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T15:13:07.565Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T15:13:11.609Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:13:14.675Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:13:16.945Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:13:20.010Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:13:22.325Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:13:22.325Z] 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. [2026-04-22T15:13:22.325Z] The best model improves the baseline by 14.34%. [2026-04-22T15:13:23.033Z] Top recommended movies for user id 72: [2026-04-22T15:13:23.033Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-22T15:13:23.033Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-22T15:13:23.033Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-22T15:13:23.033Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-22T15:13:23.033Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-22T15:13:23.033Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (34650.019 ms) ====== [2026-04-22T15:13:23.033Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-22T15:13:23.033Z] GC before operation: completed in 274.556 ms, heap usage 283.699 MB -> 98.154 MB. [2026-04-22T15:13:27.085Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T15:13:30.267Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T15:13:34.357Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T15:13:37.465Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:13:39.715Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:13:41.980Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:13:45.118Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:13:47.309Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:13:47.309Z] 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. [2026-04-22T15:13:47.309Z] The best model improves the baseline by 14.34%. [2026-04-22T15:13:47.309Z] Top recommended movies for user id 72: [2026-04-22T15:13:47.309Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-22T15:13:47.309Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-22T15:13:47.309Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-22T15:13:47.309Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-22T15:13:47.309Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-22T15:13:47.309Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (24285.875 ms) ====== [2026-04-22T15:13:47.309Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-22T15:13:48.004Z] GC before operation: completed in 211.399 ms, heap usage 317.234 MB -> 88.104 MB. [2026-04-22T15:13:51.105Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T15:13:56.106Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T15:13:57.465Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T15:14:01.850Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:14:06.310Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:14:06.310Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:14:09.529Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:14:12.568Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:14:12.568Z] 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. [2026-04-22T15:14:12.568Z] The best model improves the baseline by 14.34%. [2026-04-22T15:14:12.568Z] Top recommended movies for user id 72: [2026-04-22T15:14:12.568Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-22T15:14:12.568Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-22T15:14:12.568Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-22T15:14:12.568Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-22T15:14:12.568Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-22T15:14:12.568Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (22812.490 ms) ====== [2026-04-22T15:14:12.568Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-22T15:14:12.568Z] GC before operation: completed in 182.715 ms, heap usage 234.686 MB -> 88.571 MB. [2026-04-22T15:14:14.006Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T15:14:20.344Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T15:14:21.809Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T15:14:25.872Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:14:27.273Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:14:31.655Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:14:31.655Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:14:33.919Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:14:34.578Z] 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. [2026-04-22T15:14:34.578Z] The best model improves the baseline by 14.34%. [2026-04-22T15:14:34.578Z] Top recommended movies for user id 72: [2026-04-22T15:14:34.578Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-22T15:14:34.578Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-22T15:14:34.578Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-22T15:14:34.578Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-22T15:14:34.578Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-22T15:14:34.578Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (23981.768 ms) ====== [2026-04-22T15:14:34.578Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-22T15:14:34.578Z] GC before operation: completed in 192.678 ms, heap usage 141.715 MB -> 88.844 MB. [2026-04-22T15:14:37.755Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T15:14:41.442Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T15:14:44.615Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T15:14:50.400Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:14:50.400Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:14:51.893Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:14:54.193Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:14:56.535Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:14:57.228Z] 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. [2026-04-22T15:14:57.228Z] The best model improves the baseline by 14.34%. [2026-04-22T15:14:57.228Z] Top recommended movies for user id 72: [2026-04-22T15:14:57.228Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-22T15:14:57.228Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-22T15:14:57.228Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-22T15:14:57.228Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-22T15:14:57.228Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-22T15:14:57.228Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (22406.224 ms) ====== [2026-04-22T15:14:57.228Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-22T15:14:57.228Z] GC before operation: completed in 251.058 ms, heap usage 236.106 MB -> 92.184 MB. [2026-04-22T15:15:01.373Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T15:15:05.471Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T15:15:08.549Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T15:15:11.584Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:15:13.039Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:15:15.316Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:15:17.646Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:15:19.841Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:15:20.561Z] 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. [2026-04-22T15:15:20.561Z] The best model improves the baseline by 14.34%. [2026-04-22T15:15:20.561Z] Top recommended movies for user id 72: [2026-04-22T15:15:20.561Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-22T15:15:20.561Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-22T15:15:20.561Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-22T15:15:20.561Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-22T15:15:20.561Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-22T15:15:20.561Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (23210.613 ms) ====== [2026-04-22T15:15:20.561Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-22T15:15:21.311Z] GC before operation: completed in 395.136 ms, heap usage 166.490 MB -> 89.052 MB. [2026-04-22T15:15:26.018Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T15:15:29.237Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T15:15:33.337Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T15:15:36.452Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:15:38.652Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:15:40.886Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:15:44.835Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:15:47.875Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:15:47.875Z] 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. [2026-04-22T15:15:47.875Z] The best model improves the baseline by 14.34%. [2026-04-22T15:15:47.875Z] Top recommended movies for user id 72: [2026-04-22T15:15:47.875Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-22T15:15:47.875Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-22T15:15:47.875Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-22T15:15:47.875Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-22T15:15:47.875Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-22T15:15:47.875Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (24474.496 ms) ====== [2026-04-22T15:15:47.875Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-22T15:15:47.875Z] GC before operation: completed in 155.396 ms, heap usage 163.716 MB -> 88.987 MB. [2026-04-22T15:15:49.270Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T15:15:52.380Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T15:15:55.995Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T15:16:01.375Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:16:01.375Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:16:03.674Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:16:05.954Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:16:08.312Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:16:08.312Z] 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. [2026-04-22T15:16:08.312Z] The best model improves the baseline by 14.34%. [2026-04-22T15:16:08.312Z] Top recommended movies for user id 72: [2026-04-22T15:16:08.312Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-22T15:16:08.312Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-22T15:16:08.312Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-22T15:16:08.312Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-22T15:16:08.312Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-22T15:16:08.312Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (22682.646 ms) ====== [2026-04-22T15:16:08.312Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-22T15:16:08.987Z] GC before operation: completed in 243.480 ms, heap usage 177.688 MB -> 89.234 MB. [2026-04-22T15:16:14.266Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T15:16:16.467Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T15:16:21.031Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T15:16:23.341Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:16:24.791Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:16:26.976Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:16:29.871Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:16:30.541Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:16:31.252Z] 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. [2026-04-22T15:16:31.252Z] The best model improves the baseline by 14.34%. [2026-04-22T15:16:31.252Z] Top recommended movies for user id 72: [2026-04-22T15:16:31.252Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-22T15:16:31.253Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-22T15:16:31.253Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-22T15:16:31.253Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-22T15:16:31.253Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-22T15:16:31.253Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (22643.576 ms) ====== [2026-04-22T15:16:31.253Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-22T15:16:31.253Z] GC before operation: completed in 203.662 ms, heap usage 192.354 MB -> 91.378 MB. [2026-04-22T15:16:35.809Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T15:16:38.669Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T15:16:41.786Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T15:16:44.889Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:16:47.139Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:16:49.376Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:16:51.575Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:16:52.995Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:16:53.652Z] 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. [2026-04-22T15:16:53.652Z] The best model improves the baseline by 14.34%. [2026-04-22T15:16:53.652Z] Top recommended movies for user id 72: [2026-04-22T15:16:53.652Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-22T15:16:53.652Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-22T15:16:53.652Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-22T15:16:53.652Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-22T15:16:53.652Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-22T15:16:53.652Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (22216.264 ms) ====== [2026-04-22T15:16:53.652Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-22T15:16:53.652Z] GC before operation: completed in 164.261 ms, heap usage 314.074 MB -> 89.584 MB. [2026-04-22T15:16:57.633Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T15:17:01.825Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T15:17:05.045Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T15:17:08.629Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:17:10.037Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:17:11.475Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:17:13.796Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:17:16.025Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:17:16.025Z] 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. [2026-04-22T15:17:16.025Z] The best model improves the baseline by 14.34%. [2026-04-22T15:17:16.025Z] Top recommended movies for user id 72: [2026-04-22T15:17:16.025Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-22T15:17:16.025Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-22T15:17:16.025Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-22T15:17:16.025Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-22T15:17:16.025Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-22T15:17:16.025Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (22184.805 ms) ====== [2026-04-22T15:17:16.025Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-22T15:17:16.025Z] GC before operation: completed in 246.972 ms, heap usage 168.931 MB -> 89.012 MB. [2026-04-22T15:17:21.460Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T15:17:22.891Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T15:17:26.995Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T15:17:32.459Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:17:32.459Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:17:34.716Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:17:40.154Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:17:40.154Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:17:40.154Z] 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. [2026-04-22T15:17:40.154Z] The best model improves the baseline by 14.34%. [2026-04-22T15:17:40.154Z] Top recommended movies for user id 72: [2026-04-22T15:17:40.154Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-22T15:17:40.154Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-22T15:17:40.154Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-22T15:17:40.154Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-22T15:17:40.154Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-22T15:17:40.154Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (24078.580 ms) ====== [2026-04-22T15:17:40.154Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-22T15:17:40.865Z] GC before operation: completed in 235.478 ms, heap usage 386.364 MB -> 91.434 MB. [2026-04-22T15:17:45.025Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T15:17:48.726Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T15:17:51.975Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T15:18:01.886Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:18:01.886Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:18:01.886Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:18:02.615Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:18:04.095Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:18:04.782Z] 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. [2026-04-22T15:18:04.782Z] The best model improves the baseline by 14.34%. [2026-04-22T15:18:04.782Z] Top recommended movies for user id 72: [2026-04-22T15:18:04.782Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-22T15:18:04.782Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-22T15:18:04.782Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-22T15:18:04.782Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-22T15:18:04.782Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-22T15:18:04.782Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (24242.163 ms) ====== [2026-04-22T15:18:04.782Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-22T15:18:05.479Z] GC before operation: completed in 238.435 ms, heap usage 240.294 MB -> 91.785 MB. [2026-04-22T15:18:08.714Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T15:18:13.007Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T15:18:17.297Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T15:18:21.528Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:18:26.569Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:18:26.569Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:18:37.595Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:18:37.595Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:18:37.595Z] 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. [2026-04-22T15:18:37.595Z] The best model improves the baseline by 14.34%. [2026-04-22T15:18:37.595Z] Top recommended movies for user id 72: [2026-04-22T15:18:37.595Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-22T15:18:37.595Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-22T15:18:37.595Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-22T15:18:37.595Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-22T15:18:37.595Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-22T15:18:37.595Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (25811.787 ms) ====== [2026-04-22T15:18:37.595Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-22T15:18:37.595Z] GC before operation: completed in 287.067 ms, heap usage 397.181 MB -> 89.817 MB. [2026-04-22T15:18:37.595Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T15:18:41.151Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T15:18:42.825Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T15:18:53.444Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:18:53.444Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:18:58.857Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:18:58.858Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:18:58.858Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:18:58.858Z] 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. [2026-04-22T15:18:58.858Z] The best model improves the baseline by 14.34%. [2026-04-22T15:18:58.858Z] Top recommended movies for user id 72: [2026-04-22T15:18:58.858Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-22T15:18:58.858Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-22T15:18:58.858Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-22T15:18:58.858Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-22T15:18:58.858Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-22T15:18:58.858Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (27074.334 ms) ====== [2026-04-22T15:18:58.858Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-22T15:18:58.858Z] GC before operation: completed in 177.083 ms, heap usage 359.593 MB -> 91.572 MB. [2026-04-22T15:19:03.874Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T15:19:08.145Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T15:19:12.319Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T15:19:16.618Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:19:18.902Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:19:21.236Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:19:24.545Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:19:26.887Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:19:26.887Z] 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. [2026-04-22T15:19:26.887Z] The best model improves the baseline by 14.34%. [2026-04-22T15:19:26.887Z] Top recommended movies for user id 72: [2026-04-22T15:19:26.887Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-22T15:19:26.887Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-22T15:19:26.887Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-22T15:19:26.887Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-22T15:19:26.887Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-22T15:19:26.887Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (28636.653 ms) ====== [2026-04-22T15:19:26.887Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-22T15:19:27.645Z] GC before operation: completed in 180.571 ms, heap usage 224.614 MB -> 91.120 MB. [2026-04-22T15:19:31.865Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T15:19:35.105Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T15:19:39.845Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T15:19:43.970Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:19:47.176Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:19:49.480Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:19:51.801Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:19:54.135Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:19:54.896Z] 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. [2026-04-22T15:19:54.896Z] The best model improves the baseline by 14.34%. [2026-04-22T15:19:54.896Z] Top recommended movies for user id 72: [2026-04-22T15:19:54.896Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-22T15:19:54.896Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-22T15:19:54.896Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-22T15:19:54.896Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-22T15:19:54.896Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-22T15:19:54.896Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (27822.944 ms) ====== [2026-04-22T15:19:54.896Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-22T15:19:55.670Z] GC before operation: completed in 243.993 ms, heap usage 251.071 MB -> 89.470 MB. [2026-04-22T15:19:59.785Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T15:20:04.048Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T15:20:09.326Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T15:20:12.674Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:20:15.616Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:20:18.135Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:20:20.419Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:20:23.895Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:20:24.596Z] 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. [2026-04-22T15:20:24.596Z] The best model improves the baseline by 14.34%. [2026-04-22T15:20:24.596Z] Top recommended movies for user id 72: [2026-04-22T15:20:24.596Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-22T15:20:24.596Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-22T15:20:24.596Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-22T15:20:24.596Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-22T15:20:24.596Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-22T15:20:24.596Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (29204.184 ms) ====== [2026-04-22T15:20:24.596Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-22T15:20:24.596Z] GC before operation: completed in 306.572 ms, heap usage 216.313 MB -> 91.042 MB. [2026-04-22T15:20:28.719Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T15:20:33.063Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T15:20:37.246Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T15:20:42.483Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:20:44.995Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:20:47.266Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:20:50.512Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:20:53.498Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:20:53.498Z] 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. [2026-04-22T15:20:53.499Z] The best model improves the baseline by 14.34%. [2026-04-22T15:20:53.499Z] Top recommended movies for user id 72: [2026-04-22T15:20:53.499Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-22T15:20:53.499Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-22T15:20:53.499Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-22T15:20:53.499Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-22T15:20:53.499Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-22T15:20:53.499Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (28705.447 ms) ====== [2026-04-22T15:20:53.499Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-22T15:20:53.499Z] GC before operation: completed in 215.882 ms, heap usage 170.682 MB -> 89.509 MB. [2026-04-22T15:20:57.705Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T15:21:01.798Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T15:21:05.916Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T15:21:10.289Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T15:21:12.783Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T15:21:15.145Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T15:21:18.335Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T15:21:19.785Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T15:21:20.465Z] 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. [2026-04-22T15:21:20.465Z] The best model improves the baseline by 14.34%. [2026-04-22T15:21:20.465Z] Top recommended movies for user id 72: [2026-04-22T15:21:20.465Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-22T15:21:20.465Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-22T15:21:20.465Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-22T15:21:20.465Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-22T15:21:20.465Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-22T15:21:20.465Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (26695.655 ms) ====== [2026-04-22T15:21:21.165Z] ----------------------------------- [2026-04-22T15:21:21.165Z] renaissance-movie-lens_0_PASSED [2026-04-22T15:21:21.165Z] ----------------------------------- [2026-04-22T15:21:21.165Z] [2026-04-22T15:21:21.165Z] TEST TEARDOWN: [2026-04-22T15:21:21.165Z] Nothing to be done for teardown. [2026-04-22T15:21:21.165Z] renaissance-movie-lens_0 Finish Time: Wed Apr 22 15:21:20 2026 Epoch Time (ms): 1776871280739