[2026-04-14T01:17:51.962Z] Running test renaissance-movie-lens_0 ... [2026-04-14T01:17:51.962Z] =============================================== [2026-04-14T01:17:51.962Z] renaissance-movie-lens_0 Start Time: Tue Apr 14 01:17:51 2026 Epoch Time (ms): 1776129471223 [2026-04-14T01:17:51.962Z] variation: NoOptions [2026-04-14T01:17:51.962Z] JVM_OPTIONS: [2026-04-14T01:17:51.962Z] { \ [2026-04-14T01:17:51.962Z] echo ""; echo "TEST SETUP:"; \ [2026-04-14T01:17:51.962Z] echo "Nothing to be done for setup."; \ [2026-04-14T01:17:51.962Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17761280954118/renaissance-movie-lens_0"; \ [2026-04-14T01:17:51.962Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17761280954118/renaissance-movie-lens_0"; \ [2026-04-14T01:17:51.962Z] echo ""; echo "TESTING:"; \ [2026-04-14T01:17:51.962Z] "/home/jenkins/workspace/Test_openjdk11_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_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17761280954118/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-14T01:17:51.962Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17761280954118/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-14T01:17:51.962Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-14T01:17:51.962Z] echo "Nothing to be done for teardown."; \ [2026-04-14T01:17:51.962Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17761280954118/TestTargetResult"; [2026-04-14T01:17:51.962Z] [2026-04-14T01:17:51.962Z] TEST SETUP: [2026-04-14T01:17:51.962Z] Nothing to be done for setup. [2026-04-14T01:17:51.962Z] [2026-04-14T01:17:51.962Z] TESTING: [2026-04-14T01:17:59.538Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-04-14T01:18:07.306Z] 01:18:06.755 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-04-14T01:18:10.440Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-14T01:18:11.947Z] Training: 60056, validation: 20285, test: 19854 [2026-04-14T01:18:11.947Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-14T01:18:11.947Z] GC before operation: completed in 302.710 ms, heap usage 166.173 MB -> 74.258 MB. [2026-04-14T01:18:23.201Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:18:29.659Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:18:37.363Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:18:42.645Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:18:45.774Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:18:49.000Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:18:52.225Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:18:56.409Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:18:56.409Z] 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. [2026-04-14T01:18:56.409Z] The best model improves the baseline by 14.34%. [2026-04-14T01:18:57.158Z] Top recommended movies for user id 72: [2026-04-14T01:18:57.158Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T01:18:57.158Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T01:18:57.158Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T01:18:57.158Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T01:18:57.158Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T01:18:57.158Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (44931.982 ms) ====== [2026-04-14T01:18:57.158Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-14T01:18:57.158Z] GC before operation: completed in 289.595 ms, heap usage 138.792 MB -> 84.601 MB. [2026-04-14T01:19:02.359Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:19:09.168Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:19:13.400Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:19:18.663Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:19:21.982Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:19:25.139Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:19:29.318Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:19:32.491Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:19:32.491Z] 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. [2026-04-14T01:19:32.491Z] The best model improves the baseline by 14.34%. [2026-04-14T01:19:33.298Z] Top recommended movies for user id 72: [2026-04-14T01:19:33.298Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T01:19:33.298Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T01:19:33.298Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T01:19:33.298Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T01:19:33.298Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T01:19:33.298Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (35772.456 ms) ====== [2026-04-14T01:19:33.298Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-14T01:19:33.298Z] GC before operation: completed in 303.061 ms, heap usage 294.513 MB -> 86.630 MB. [2026-04-14T01:19:37.473Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:19:42.555Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:19:47.689Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:19:52.221Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:19:54.529Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:19:57.641Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:20:00.896Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:20:03.187Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:20:03.889Z] 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. [2026-04-14T01:20:03.889Z] The best model improves the baseline by 14.34%. [2026-04-14T01:20:03.889Z] Top recommended movies for user id 72: [2026-04-14T01:20:03.889Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T01:20:03.889Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T01:20:03.889Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T01:20:03.889Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T01:20:03.889Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T01:20:03.889Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (30779.689 ms) ====== [2026-04-14T01:20:03.889Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-14T01:20:04.560Z] GC before operation: completed in 281.106 ms, heap usage 153.110 MB -> 87.047 MB. [2026-04-14T01:20:09.812Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:20:15.017Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:20:20.267Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:20:24.532Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:20:27.678Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:20:31.371Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:20:34.471Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:20:37.320Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:20:37.320Z] 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. [2026-04-14T01:20:37.320Z] The best model improves the baseline by 14.34%. [2026-04-14T01:20:38.045Z] Top recommended movies for user id 72: [2026-04-14T01:20:38.045Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T01:20:38.045Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T01:20:38.045Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T01:20:38.045Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T01:20:38.045Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T01:20:38.045Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (33399.226 ms) ====== [2026-04-14T01:20:38.045Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-14T01:20:38.045Z] GC before operation: completed in 349.953 ms, heap usage 151.599 MB -> 87.353 MB. [2026-04-14T01:20:43.377Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:20:48.566Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:20:53.712Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:20:58.843Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:21:01.143Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:21:04.267Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:21:06.508Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:21:09.714Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:21:10.400Z] 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. [2026-04-14T01:21:10.400Z] The best model improves the baseline by 14.34%. [2026-04-14T01:21:10.400Z] Top recommended movies for user id 72: [2026-04-14T01:21:10.400Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T01:21:10.400Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T01:21:10.400Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T01:21:10.400Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T01:21:10.400Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T01:21:10.400Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (32520.026 ms) ====== [2026-04-14T01:21:10.400Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-14T01:21:11.067Z] GC before operation: completed in 321.162 ms, heap usage 159.262 MB -> 87.266 MB. [2026-04-14T01:21:15.638Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:21:20.973Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:21:25.799Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:21:29.964Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:21:32.240Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:21:35.362Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:21:38.498Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:21:41.684Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:21:41.684Z] 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. [2026-04-14T01:21:41.684Z] The best model improves the baseline by 14.34%. [2026-04-14T01:21:42.398Z] Top recommended movies for user id 72: [2026-04-14T01:21:42.398Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T01:21:42.398Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T01:21:42.398Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T01:21:42.398Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T01:21:42.398Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T01:21:42.398Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (31317.828 ms) ====== [2026-04-14T01:21:42.398Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-14T01:21:42.398Z] GC before operation: completed in 327.122 ms, heap usage 173.864 MB -> 87.583 MB. [2026-04-14T01:21:47.568Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:21:52.775Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:21:58.017Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:22:03.306Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:22:05.371Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:22:08.541Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:22:11.676Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:22:14.890Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:22:14.890Z] 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. [2026-04-14T01:22:14.890Z] The best model improves the baseline by 14.34%. [2026-04-14T01:22:14.890Z] Top recommended movies for user id 72: [2026-04-14T01:22:14.890Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T01:22:14.890Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T01:22:14.890Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T01:22:14.890Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T01:22:14.890Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T01:22:14.890Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (32652.580 ms) ====== [2026-04-14T01:22:14.890Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-14T01:22:15.617Z] GC before operation: completed in 282.527 ms, heap usage 107.626 MB -> 87.668 MB. [2026-04-14T01:22:20.977Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:22:25.185Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:22:30.300Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:22:34.498Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:22:37.783Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:22:41.132Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:22:45.224Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:22:47.668Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:22:48.414Z] 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. [2026-04-14T01:22:48.414Z] The best model improves the baseline by 14.34%. [2026-04-14T01:22:48.414Z] Top recommended movies for user id 72: [2026-04-14T01:22:48.414Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T01:22:48.414Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T01:22:48.414Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T01:22:48.414Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T01:22:48.414Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T01:22:48.414Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (33070.396 ms) ====== [2026-04-14T01:22:48.414Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-14T01:22:49.090Z] GC before operation: completed in 286.813 ms, heap usage 287.959 MB -> 87.935 MB. [2026-04-14T01:22:53.071Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:22:58.268Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:23:02.529Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:23:07.837Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:23:10.972Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:23:14.105Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:23:16.341Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:23:19.467Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:23:19.467Z] 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. [2026-04-14T01:23:19.467Z] The best model improves the baseline by 14.34%. [2026-04-14T01:23:19.467Z] Top recommended movies for user id 72: [2026-04-14T01:23:19.467Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T01:23:19.467Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T01:23:19.467Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T01:23:19.467Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T01:23:19.467Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T01:23:19.467Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (30873.762 ms) ====== [2026-04-14T01:23:19.467Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-14T01:23:20.177Z] GC before operation: completed in 242.995 ms, heap usage 159.872 MB -> 87.632 MB. [2026-04-14T01:23:23.972Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:23:30.361Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:23:41.056Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:23:41.056Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:23:43.480Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:23:43.480Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:23:45.677Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:23:48.472Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:23:49.213Z] 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. [2026-04-14T01:23:49.213Z] The best model improves the baseline by 14.34%. [2026-04-14T01:23:49.213Z] Top recommended movies for user id 72: [2026-04-14T01:23:49.213Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T01:23:49.213Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T01:23:49.213Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T01:23:49.213Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T01:23:49.213Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T01:23:49.213Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (28818.415 ms) ====== [2026-04-14T01:23:49.213Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-14T01:23:49.213Z] GC before operation: completed in 248.900 ms, heap usage 332.910 MB -> 88.076 MB. [2026-04-14T01:23:53.270Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:23:58.561Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:24:03.639Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:24:07.719Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:24:10.809Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:24:13.018Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:24:16.334Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:24:19.502Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:24:19.502Z] 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. [2026-04-14T01:24:19.502Z] The best model improves the baseline by 14.34%. [2026-04-14T01:24:20.217Z] Top recommended movies for user id 72: [2026-04-14T01:24:20.217Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T01:24:20.217Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T01:24:20.217Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T01:24:20.217Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T01:24:20.217Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T01:24:20.217Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (30914.426 ms) ====== [2026-04-14T01:24:20.217Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-14T01:24:20.218Z] GC before operation: completed in 237.393 ms, heap usage 150.009 MB -> 87.572 MB. [2026-04-14T01:24:25.368Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:24:29.477Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:24:35.026Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:24:38.219Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:24:40.499Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:24:43.752Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:24:46.868Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:24:49.949Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:24:49.949Z] 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. [2026-04-14T01:24:49.949Z] The best model improves the baseline by 14.34%. [2026-04-14T01:24:49.949Z] Top recommended movies for user id 72: [2026-04-14T01:24:49.949Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T01:24:49.949Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T01:24:49.949Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T01:24:49.949Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T01:24:49.949Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T01:24:49.949Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (29911.797 ms) ====== [2026-04-14T01:24:49.949Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-14T01:24:50.648Z] GC before operation: completed in 265.544 ms, heap usage 309.420 MB -> 87.947 MB. [2026-04-14T01:24:54.983Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:25:00.087Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:25:04.316Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:25:08.476Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:25:10.710Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:25:13.887Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:25:16.159Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:25:18.377Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:25:19.067Z] 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. [2026-04-14T01:25:19.067Z] The best model improves the baseline by 14.34%. [2026-04-14T01:25:19.067Z] Top recommended movies for user id 72: [2026-04-14T01:25:19.067Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T01:25:19.067Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T01:25:19.067Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T01:25:19.068Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T01:25:19.068Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T01:25:19.068Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (28904.923 ms) ====== [2026-04-14T01:25:19.068Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-14T01:25:19.731Z] GC before operation: completed in 287.873 ms, heap usage 151.046 MB -> 87.898 MB. [2026-04-14T01:25:23.807Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:25:27.837Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:25:33.056Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:25:37.100Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:25:40.289Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:25:42.468Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:25:45.663Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:25:47.857Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:25:48.590Z] 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. [2026-04-14T01:25:48.590Z] The best model improves the baseline by 14.34%. [2026-04-14T01:25:48.590Z] Top recommended movies for user id 72: [2026-04-14T01:25:48.590Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T01:25:48.590Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T01:25:48.590Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T01:25:48.590Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T01:25:48.590Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T01:25:48.590Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (28972.072 ms) ====== [2026-04-14T01:25:48.590Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-14T01:25:48.590Z] GC before operation: completed in 233.928 ms, heap usage 300.158 MB -> 89.294 MB. [2026-04-14T01:25:53.679Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:25:56.871Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:26:02.068Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:26:06.167Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:26:09.362Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:26:11.583Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:26:14.672Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:26:16.966Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:26:17.631Z] 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. [2026-04-14T01:26:17.631Z] The best model improves the baseline by 14.34%. [2026-04-14T01:26:17.631Z] Top recommended movies for user id 72: [2026-04-14T01:26:17.631Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T01:26:17.631Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T01:26:17.631Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T01:26:17.631Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T01:26:17.631Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T01:26:17.631Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (29020.760 ms) ====== [2026-04-14T01:26:17.631Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-14T01:26:18.339Z] GC before operation: completed in 314.030 ms, heap usage 339.670 MB -> 88.172 MB. [2026-04-14T01:26:22.466Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:26:26.523Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:26:31.623Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:26:35.771Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:26:37.267Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:26:40.725Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:26:43.893Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:26:46.174Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:26:46.174Z] 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. [2026-04-14T01:26:46.174Z] The best model improves the baseline by 14.34%. [2026-04-14T01:26:46.892Z] Top recommended movies for user id 72: [2026-04-14T01:26:46.892Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T01:26:46.892Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T01:26:46.892Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T01:26:46.892Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T01:26:46.892Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T01:26:46.892Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (28427.916 ms) ====== [2026-04-14T01:26:46.892Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-14T01:26:46.892Z] GC before operation: completed in 267.054 ms, heap usage 266.527 MB -> 87.922 MB. [2026-04-14T01:26:51.929Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:26:56.034Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:27:00.192Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:27:04.285Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:27:06.560Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:27:09.618Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:27:11.823Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:27:14.021Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:27:14.711Z] 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. [2026-04-14T01:27:14.711Z] The best model improves the baseline by 14.34%. [2026-04-14T01:27:14.711Z] Top recommended movies for user id 72: [2026-04-14T01:27:14.711Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T01:27:14.711Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T01:27:14.711Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T01:27:14.711Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T01:27:14.711Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T01:27:14.711Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (28015.204 ms) ====== [2026-04-14T01:27:14.711Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-14T01:27:15.391Z] GC before operation: completed in 280.949 ms, heap usage 259.199 MB -> 88.014 MB. [2026-04-14T01:27:19.561Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:27:24.494Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:27:28.639Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:27:32.677Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:27:35.810Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:27:38.855Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:27:41.127Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:27:43.337Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:27:44.019Z] 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. [2026-04-14T01:27:44.019Z] The best model improves the baseline by 14.34%. [2026-04-14T01:27:44.019Z] Top recommended movies for user id 72: [2026-04-14T01:27:44.019Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T01:27:44.019Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T01:27:44.019Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T01:27:44.019Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T01:27:44.019Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T01:27:44.019Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (29090.091 ms) ====== [2026-04-14T01:27:44.019Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-14T01:27:44.707Z] GC before operation: completed in 239.533 ms, heap usage 272.013 MB -> 87.860 MB. [2026-04-14T01:27:48.902Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:27:52.940Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:27:57.959Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:28:01.969Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:28:04.781Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:28:07.813Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:28:10.925Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:28:13.140Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:28:13.140Z] 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. [2026-04-14T01:28:13.140Z] The best model improves the baseline by 14.34%. [2026-04-14T01:28:13.853Z] Top recommended movies for user id 72: [2026-04-14T01:28:13.853Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T01:28:13.853Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T01:28:13.853Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T01:28:13.853Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T01:28:13.853Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T01:28:13.853Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (29115.636 ms) ====== [2026-04-14T01:28:13.853Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-14T01:28:13.853Z] GC before operation: completed in 268.063 ms, heap usage 279.669 MB -> 87.960 MB. [2026-04-14T01:28:17.794Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:28:21.863Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:28:27.112Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:28:30.174Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:28:33.301Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:28:35.524Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:28:37.812Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:28:40.887Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:28:40.887Z] 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. [2026-04-14T01:28:40.887Z] The best model improves the baseline by 14.34%. [2026-04-14T01:28:41.545Z] Top recommended movies for user id 72: [2026-04-14T01:28:41.545Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T01:28:41.545Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T01:28:41.545Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T01:28:41.545Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T01:28:41.545Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T01:28:41.545Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (27538.717 ms) ====== [2026-04-14T01:28:42.249Z] ----------------------------------- [2026-04-14T01:28:42.249Z] renaissance-movie-lens_0_PASSED [2026-04-14T01:28:42.249Z] ----------------------------------- [2026-04-14T01:28:42.249Z] [2026-04-14T01:28:42.249Z] TEST TEARDOWN: [2026-04-14T01:28:42.249Z] Nothing to be done for teardown. [2026-04-14T01:28:42.249Z] renaissance-movie-lens_0 Finish Time: Tue Apr 14 01:28:41 2026 Epoch Time (ms): 1776130121635