[2026-03-07T12:21:27.730Z] Running test renaissance-movie-lens_0 ... [2026-03-07T12:21:27.730Z] =============================================== [2026-03-07T12:21:27.730Z] renaissance-movie-lens_0 Start Time: Sat Mar 7 12:21:27 2026 Epoch Time (ms): 1772886087546 [2026-03-07T12:21:27.730Z] variation: NoOptions [2026-03-07T12:21:27.730Z] JVM_OPTIONS: [2026-03-07T12:21:27.730Z] { \ [2026-03-07T12:21:27.730Z] echo ""; echo "TEST SETUP:"; \ [2026-03-07T12:21:27.730Z] echo "Nothing to be done for setup."; \ [2026-03-07T12:21:27.730Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17728850348560/renaissance-movie-lens_0"; \ [2026-03-07T12:21:27.730Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17728850348560/renaissance-movie-lens_0"; \ [2026-03-07T12:21:27.730Z] echo ""; echo "TESTING:"; \ [2026-03-07T12:21:27.730Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17728850348560/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-07T12:21:27.730Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17728850348560/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-07T12:21:27.730Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-07T12:21:27.730Z] echo "Nothing to be done for teardown."; \ [2026-03-07T12:21:27.730Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17728850348560/TestTargetResult"; [2026-03-07T12:21:27.730Z] [2026-03-07T12:21:27.730Z] TEST SETUP: [2026-03-07T12:21:27.730Z] Nothing to be done for setup. [2026-03-07T12:21:27.730Z] [2026-03-07T12:21:27.730Z] TESTING: [2026-03-07T12:21:28.049Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-03-07T12:21:28.049Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/output_17728850348560/renaissance-movie-lens_0/launcher-122127-17160355994658468633/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-03-07T12:21:28.049Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-03-07T12:21:28.049Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-03-07T12:21:32.708Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-03-07T12:21:39.860Z] 12:21:39.109 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-03-07T12:21:42.055Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-07T12:21:42.738Z] Training: 60056, validation: 20285, test: 19854 [2026-03-07T12:21:42.738Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-07T12:21:43.056Z] GC before operation: completed in 144.250 ms, heap usage 155.210 MB -> 75.389 MB. [2026-03-07T12:21:50.216Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:21:55.041Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:21:58.750Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:22:01.645Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:22:03.853Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:22:07.552Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:22:09.748Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:22:10.857Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:22:11.174Z] 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. [2026-03-07T12:22:11.174Z] The best model improves the baseline by 14.34%. [2026-03-07T12:22:11.491Z] Top recommended movies for user id 72: [2026-03-07T12:22:11.491Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-07T12:22:11.491Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-07T12:22:11.491Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-07T12:22:11.491Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-07T12:22:11.491Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-07T12:22:11.491Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (28426.200 ms) ====== [2026-03-07T12:22:11.491Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-07T12:22:11.491Z] GC before operation: completed in 165.382 ms, heap usage 548.028 MB -> 94.255 MB. [2026-03-07T12:22:14.448Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:22:16.718Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:22:19.626Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:22:21.827Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:22:22.956Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:22:24.569Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:22:25.684Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:22:27.296Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:22:27.617Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-07T12:22:27.617Z] The best model improves the baseline by 14.34%. [2026-03-07T12:22:27.617Z] Top recommended movies for user id 72: [2026-03-07T12:22:27.617Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-07T12:22:27.617Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-07T12:22:27.617Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-07T12:22:27.617Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-07T12:22:27.617Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-07T12:22:27.617Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16187.440 ms) ====== [2026-03-07T12:22:27.617Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-07T12:22:27.936Z] GC before operation: completed in 145.697 ms, heap usage 355.926 MB -> 87.705 MB. [2026-03-07T12:22:30.821Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:22:33.022Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:22:35.222Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:22:37.517Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:22:38.634Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:22:39.752Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:22:41.954Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:22:43.067Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:22:43.067Z] 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. [2026-03-07T12:22:43.067Z] The best model improves the baseline by 14.34%. [2026-03-07T12:22:43.384Z] Top recommended movies for user id 72: [2026-03-07T12:22:43.384Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-07T12:22:43.384Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-07T12:22:43.384Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-07T12:22:43.384Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-07T12:22:43.384Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-07T12:22:43.384Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15437.233 ms) ====== [2026-03-07T12:22:43.384Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-07T12:22:43.384Z] GC before operation: completed in 128.813 ms, heap usage 200.602 MB -> 87.949 MB. [2026-03-07T12:22:46.270Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:22:47.882Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:22:50.080Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:22:52.285Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:22:53.900Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:22:55.011Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:22:56.126Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:22:57.813Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:22:57.813Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-07T12:22:57.813Z] The best model improves the baseline by 14.34%. [2026-03-07T12:22:57.813Z] Top recommended movies for user id 72: [2026-03-07T12:22:57.813Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-07T12:22:57.813Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-07T12:22:57.813Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-07T12:22:57.813Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-07T12:22:57.813Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-07T12:22:57.813Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (14429.044 ms) ====== [2026-03-07T12:22:57.813Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-07T12:22:58.131Z] GC before operation: completed in 151.109 ms, heap usage 164.814 MB -> 88.273 MB. [2026-03-07T12:23:00.354Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:23:02.563Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:23:04.768Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:23:06.976Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:23:08.095Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:23:09.213Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:23:10.838Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:23:11.962Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:23:12.280Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-07T12:23:12.280Z] The best model improves the baseline by 14.34%. [2026-03-07T12:23:12.280Z] Top recommended movies for user id 72: [2026-03-07T12:23:12.280Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-07T12:23:12.280Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-07T12:23:12.280Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-07T12:23:12.280Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-07T12:23:12.280Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-07T12:23:12.280Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (14263.229 ms) ====== [2026-03-07T12:23:12.280Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-07T12:23:12.600Z] GC before operation: completed in 156.027 ms, heap usage 160.376 MB -> 88.201 MB. [2026-03-07T12:23:14.810Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:23:17.015Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:23:19.236Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:23:20.859Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:23:22.476Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:23:23.593Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:23:24.721Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:23:26.340Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:23:26.340Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-07T12:23:26.340Z] The best model improves the baseline by 14.34%. [2026-03-07T12:23:26.661Z] Top recommended movies for user id 72: [2026-03-07T12:23:26.661Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-07T12:23:26.661Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-07T12:23:26.661Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-07T12:23:26.661Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-07T12:23:26.661Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-07T12:23:26.661Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (14057.153 ms) ====== [2026-03-07T12:23:26.661Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-07T12:23:26.661Z] GC before operation: completed in 129.213 ms, heap usage 348.342 MB -> 88.920 MB. [2026-03-07T12:23:28.869Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:23:31.081Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:23:33.294Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:23:35.506Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:23:36.628Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:23:38.250Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:23:39.444Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:23:40.565Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:23:40.885Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-07T12:23:40.885Z] The best model improves the baseline by 14.34%. [2026-03-07T12:23:40.885Z] Top recommended movies for user id 72: [2026-03-07T12:23:40.885Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-07T12:23:40.885Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-07T12:23:40.885Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-07T12:23:40.885Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-07T12:23:40.885Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-07T12:23:40.885Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14266.114 ms) ====== [2026-03-07T12:23:40.885Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-07T12:23:41.203Z] GC before operation: completed in 131.769 ms, heap usage 152.965 MB -> 88.524 MB. [2026-03-07T12:23:43.407Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:23:45.616Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:23:47.238Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:23:49.449Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:23:50.564Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:23:51.683Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:23:53.304Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:23:54.439Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:23:54.439Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-07T12:23:54.439Z] The best model improves the baseline by 14.34%. [2026-03-07T12:23:54.758Z] Top recommended movies for user id 72: [2026-03-07T12:23:54.758Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-07T12:23:54.758Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-07T12:23:54.758Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-07T12:23:54.758Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-07T12:23:54.758Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-07T12:23:54.758Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (13553.098 ms) ====== [2026-03-07T12:23:54.758Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-07T12:23:54.758Z] GC before operation: completed in 131.142 ms, heap usage 234.316 MB -> 88.914 MB. [2026-03-07T12:23:56.983Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:23:59.187Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:24:01.458Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:24:03.076Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:24:04.196Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:24:05.316Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:24:06.939Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:24:08.069Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:24:08.069Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-07T12:24:08.388Z] The best model improves the baseline by 14.34%. [2026-03-07T12:24:08.388Z] Top recommended movies for user id 72: [2026-03-07T12:24:08.388Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-07T12:24:08.388Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-07T12:24:08.388Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-07T12:24:08.388Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-07T12:24:08.388Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-07T12:24:08.388Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (13669.271 ms) ====== [2026-03-07T12:24:08.388Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-07T12:24:08.708Z] GC before operation: completed in 144.936 ms, heap usage 489.389 MB -> 92.421 MB. [2026-03-07T12:24:10.912Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:24:13.117Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:24:14.739Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:24:16.944Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:24:18.055Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:24:19.253Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:24:20.369Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:24:21.485Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:24:21.801Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-07T12:24:21.801Z] The best model improves the baseline by 14.34%. [2026-03-07T12:24:21.801Z] Top recommended movies for user id 72: [2026-03-07T12:24:21.801Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-07T12:24:21.801Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-07T12:24:21.801Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-07T12:24:21.801Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-07T12:24:21.801Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-07T12:24:21.801Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (13343.364 ms) ====== [2026-03-07T12:24:21.801Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-07T12:24:22.119Z] GC before operation: completed in 128.971 ms, heap usage 356.601 MB -> 89.159 MB. [2026-03-07T12:24:24.316Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:24:26.515Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:24:28.710Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:24:30.319Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:24:31.432Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:24:33.046Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:24:34.158Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:24:35.269Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:24:35.585Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-07T12:24:35.585Z] The best model improves the baseline by 14.34%. [2026-03-07T12:24:35.925Z] Top recommended movies for user id 72: [2026-03-07T12:24:35.925Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-07T12:24:35.925Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-07T12:24:35.925Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-07T12:24:35.925Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-07T12:24:35.925Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-07T12:24:35.925Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (13721.106 ms) ====== [2026-03-07T12:24:35.925Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-07T12:24:35.925Z] GC before operation: completed in 120.469 ms, heap usage 348.142 MB -> 88.991 MB. [2026-03-07T12:24:38.131Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:24:39.827Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:24:42.048Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:24:43.664Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:24:45.278Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:24:46.391Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:24:47.506Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:24:48.624Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:24:48.943Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-07T12:24:48.943Z] The best model improves the baseline by 14.34%. [2026-03-07T12:24:48.943Z] Top recommended movies for user id 72: [2026-03-07T12:24:48.943Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-07T12:24:48.943Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-07T12:24:48.943Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-07T12:24:48.943Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-07T12:24:48.943Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-07T12:24:48.943Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (13056.827 ms) ====== [2026-03-07T12:24:48.943Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-07T12:24:48.943Z] GC before operation: completed in 122.331 ms, heap usage 241.407 MB -> 88.919 MB. [2026-03-07T12:24:51.145Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:24:52.884Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:24:55.083Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:24:56.707Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:24:58.323Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:24:59.438Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:25:00.618Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:25:01.735Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:25:01.735Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-07T12:25:01.735Z] The best model improves the baseline by 14.34%. [2026-03-07T12:25:02.057Z] Top recommended movies for user id 72: [2026-03-07T12:25:02.057Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-07T12:25:02.057Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-07T12:25:02.057Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-07T12:25:02.057Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-07T12:25:02.057Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-07T12:25:02.057Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (12922.182 ms) ====== [2026-03-07T12:25:02.057Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-07T12:25:02.057Z] GC before operation: completed in 123.957 ms, heap usage 153.990 MB -> 88.858 MB. [2026-03-07T12:25:04.258Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:25:06.456Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:25:08.666Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:25:10.284Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:25:11.401Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:25:12.519Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:25:14.139Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:25:15.255Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:25:15.255Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-07T12:25:15.255Z] The best model improves the baseline by 14.34%. [2026-03-07T12:25:15.255Z] Top recommended movies for user id 72: [2026-03-07T12:25:15.255Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-07T12:25:15.255Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-07T12:25:15.255Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-07T12:25:15.255Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-07T12:25:15.255Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-07T12:25:15.255Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (13224.225 ms) ====== [2026-03-07T12:25:15.255Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-07T12:25:15.578Z] GC before operation: completed in 128.295 ms, heap usage 596.270 MB -> 92.678 MB. [2026-03-07T12:25:17.781Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:25:19.484Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:25:21.691Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:25:23.341Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:25:24.453Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:25:25.566Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:25:26.682Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:25:27.795Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:25:28.113Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-07T12:25:28.113Z] The best model improves the baseline by 14.34%. [2026-03-07T12:25:28.431Z] Top recommended movies for user id 72: [2026-03-07T12:25:28.431Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-07T12:25:28.431Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-07T12:25:28.431Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-07T12:25:28.432Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-07T12:25:28.432Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-07T12:25:28.432Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (12842.922 ms) ====== [2026-03-07T12:25:28.432Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-07T12:25:28.432Z] GC before operation: completed in 130.518 ms, heap usage 173.209 MB -> 89.006 MB. [2026-03-07T12:25:30.634Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:25:32.268Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:25:34.473Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:25:36.096Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:25:37.210Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:25:38.325Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:25:40.025Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:25:41.141Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:25:41.141Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-07T12:25:41.141Z] The best model improves the baseline by 14.34%. [2026-03-07T12:25:41.141Z] Top recommended movies for user id 72: [2026-03-07T12:25:41.141Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-07T12:25:41.141Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-07T12:25:41.141Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-07T12:25:41.141Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-07T12:25:41.141Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-07T12:25:41.141Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (12795.769 ms) ====== [2026-03-07T12:25:41.141Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-07T12:25:41.459Z] GC before operation: completed in 122.401 ms, heap usage 117.164 MB -> 92.010 MB. [2026-03-07T12:25:43.663Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:25:45.279Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:25:47.480Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:25:49.094Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:25:50.210Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:25:51.323Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:25:52.438Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:25:53.553Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:25:53.871Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-07T12:25:53.871Z] The best model improves the baseline by 14.34%. [2026-03-07T12:25:53.871Z] Top recommended movies for user id 72: [2026-03-07T12:25:53.871Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-07T12:25:53.871Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-07T12:25:53.871Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-07T12:25:53.871Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-07T12:25:53.871Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-07T12:25:53.871Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (12492.348 ms) ====== [2026-03-07T12:25:53.871Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-07T12:25:53.871Z] GC before operation: completed in 133.346 ms, heap usage 542.918 MB -> 92.733 MB. [2026-03-07T12:25:56.076Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:25:58.280Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:26:00.537Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:26:02.158Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:26:02.845Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:26:04.458Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:26:05.572Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:26:06.688Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:26:06.688Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-07T12:26:06.688Z] The best model improves the baseline by 14.34%. [2026-03-07T12:26:07.007Z] Top recommended movies for user id 72: [2026-03-07T12:26:07.007Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-07T12:26:07.007Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-07T12:26:07.007Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-07T12:26:07.007Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-07T12:26:07.007Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-07T12:26:07.007Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (12914.381 ms) ====== [2026-03-07T12:26:07.007Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-07T12:26:07.007Z] GC before operation: completed in 130.007 ms, heap usage 147.430 MB -> 88.796 MB. [2026-03-07T12:26:09.209Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:26:10.825Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:26:13.030Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:26:14.687Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:26:15.801Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:26:16.911Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:26:18.086Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:26:19.222Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:26:19.222Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-07T12:26:19.540Z] The best model improves the baseline by 14.34%. [2026-03-07T12:26:19.540Z] Top recommended movies for user id 72: [2026-03-07T12:26:19.540Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-07T12:26:19.540Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-07T12:26:19.540Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-07T12:26:19.540Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-07T12:26:19.540Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-07T12:26:19.540Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (12466.754 ms) ====== [2026-03-07T12:26:19.540Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-07T12:26:19.540Z] GC before operation: completed in 132.408 ms, heap usage 431.277 MB -> 89.368 MB. [2026-03-07T12:26:21.739Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:26:23.351Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:26:25.551Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:26:27.164Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:26:28.274Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:26:29.388Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:26:31.009Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:26:31.695Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:26:32.032Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-07T12:26:32.032Z] The best model improves the baseline by 14.34%. [2026-03-07T12:26:32.032Z] Top recommended movies for user id 72: [2026-03-07T12:26:32.032Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-07T12:26:32.032Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-07T12:26:32.032Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-07T12:26:32.032Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-07T12:26:32.032Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-07T12:26:32.032Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (12492.332 ms) ====== [2026-03-07T12:26:32.718Z] ----------------------------------- [2026-03-07T12:26:32.718Z] renaissance-movie-lens_0_PASSED [2026-03-07T12:26:32.718Z] ----------------------------------- [2026-03-07T12:26:32.718Z] [2026-03-07T12:26:32.718Z] TEST TEARDOWN: [2026-03-07T12:26:32.718Z] Nothing to be done for teardown. [2026-03-07T12:26:32.718Z] renaissance-movie-lens_0 Finish Time: Sat Mar 7 12:26:32 2026 Epoch Time (ms): 1772886392476