[2026-01-03T13:50:49.867Z] Running test renaissance-movie-lens_0 ... [2026-01-03T13:50:49.868Z] =============================================== [2026-01-03T13:50:49.868Z] renaissance-movie-lens_0 Start Time: Sat Jan 3 13:50:49 2026 Epoch Time (ms): 1767448249193 [2026-01-03T13:50:49.868Z] variation: NoOptions [2026-01-03T13:50:49.868Z] JVM_OPTIONS: [2026-01-03T13:50:49.868Z] { \ [2026-01-03T13:50:49.868Z] echo ""; echo "TEST SETUP:"; \ [2026-01-03T13:50:49.868Z] echo "Nothing to be done for setup."; \ [2026-01-03T13:50:49.868Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17674463309759/renaissance-movie-lens_0"; \ [2026-01-03T13:50:49.868Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17674463309759/renaissance-movie-lens_0"; \ [2026-01-03T13:50:49.868Z] echo ""; echo "TESTING:"; \ [2026-01-03T13:50:49.868Z] "/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_17674463309759/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-03T13:50:49.868Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17674463309759/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-03T13:50:49.868Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-03T13:50:49.868Z] echo "Nothing to be done for teardown."; \ [2026-01-03T13:50:49.868Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17674463309759/TestTargetResult"; [2026-01-03T13:50:49.868Z] [2026-01-03T13:50:49.868Z] TEST SETUP: [2026-01-03T13:50:49.868Z] Nothing to be done for setup. [2026-01-03T13:50:49.868Z] [2026-01-03T13:50:49.868Z] TESTING: [2026-01-03T13:50:49.868Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-03T13:50:49.868Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/output_17674463309759/renaissance-movie-lens_0/launcher-135049-12166545797189197239/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-03T13:50:49.868Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-03T13:50:49.868Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-03T13:50:54.715Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-01-03T13:51:01.996Z] 13:51:00.931 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. [2026-01-03T13:51:04.102Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-03T13:51:04.746Z] Training: 60056, validation: 20285, test: 19854 [2026-01-03T13:51:04.746Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-03T13:51:04.746Z] GC before operation: completed in 170.539 ms, heap usage 227.378 MB -> 75.347 MB. [2026-01-03T13:51:12.033Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:51:16.894Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:51:20.733Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:51:23.660Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:51:25.759Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:51:27.863Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:51:29.598Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:51:31.698Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:51:31.698Z] 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. [2026-01-03T13:51:31.698Z] The best model improves the baseline by 14.34%. [2026-01-03T13:51:32.342Z] Top recommended movies for user id 72: [2026-01-03T13:51:32.342Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:51:32.342Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:51:32.342Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:51:32.342Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:51:32.342Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:51:32.342Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (27063.902 ms) ====== [2026-01-03T13:51:32.342Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-03T13:51:32.342Z] GC before operation: completed in 184.560 ms, heap usage 178.511 MB -> 97.594 MB. [2026-01-03T13:51:35.268Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:51:38.187Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:51:41.108Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:51:43.248Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:51:45.345Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:51:46.686Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:51:48.079Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:51:50.179Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:51:50.179Z] 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. [2026-01-03T13:51:50.179Z] The best model improves the baseline by 14.34%. [2026-01-03T13:51:50.827Z] Top recommended movies for user id 72: [2026-01-03T13:51:50.827Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:51:50.827Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:51:50.827Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:51:50.827Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:51:50.827Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:51:50.827Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18346.045 ms) ====== [2026-01-03T13:51:50.827Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-03T13:51:50.827Z] GC before operation: completed in 158.817 ms, heap usage 174.171 MB -> 87.414 MB. [2026-01-03T13:51:53.753Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:51:55.850Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:51:58.773Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:52:00.871Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:52:02.962Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:52:04.301Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:52:05.637Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:52:07.739Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:52:07.739Z] 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. [2026-01-03T13:52:07.739Z] The best model improves the baseline by 14.34%. [2026-01-03T13:52:07.739Z] Top recommended movies for user id 72: [2026-01-03T13:52:07.739Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:52:07.739Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:52:07.739Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:52:07.739Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:52:07.739Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:52:07.739Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17111.262 ms) ====== [2026-01-03T13:52:07.739Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-03T13:52:07.739Z] GC before operation: completed in 152.415 ms, heap usage 165.160 MB -> 88.091 MB. [2026-01-03T13:52:10.660Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:52:13.578Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:52:16.494Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:52:18.999Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:52:20.337Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:52:21.676Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:52:23.767Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:52:25.102Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:52:25.102Z] 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. [2026-01-03T13:52:25.102Z] The best model improves the baseline by 14.34%. [2026-01-03T13:52:25.102Z] Top recommended movies for user id 72: [2026-01-03T13:52:25.102Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:52:25.102Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:52:25.102Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:52:25.102Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:52:25.102Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:52:25.102Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (17361.787 ms) ====== [2026-01-03T13:52:25.102Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-03T13:52:25.747Z] GC before operation: completed in 159.078 ms, heap usage 142.041 MB -> 88.343 MB. [2026-01-03T13:52:27.837Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:52:30.787Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:52:33.708Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:52:35.797Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:52:37.136Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:52:38.476Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:52:40.570Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:52:41.911Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:52:41.911Z] 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. [2026-01-03T13:52:41.911Z] The best model improves the baseline by 14.34%. [2026-01-03T13:52:41.911Z] Top recommended movies for user id 72: [2026-01-03T13:52:41.911Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:52:41.911Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:52:41.911Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:52:41.911Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:52:41.911Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:52:41.911Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16634.524 ms) ====== [2026-01-03T13:52:41.911Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-03T13:52:42.554Z] GC before operation: completed in 153.932 ms, heap usage 166.666 MB -> 88.333 MB. [2026-01-03T13:52:44.646Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:52:47.564Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:52:49.654Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:52:51.749Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:52:53.087Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:52:55.179Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:52:56.514Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:52:57.850Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:52:58.494Z] 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. [2026-01-03T13:52:58.494Z] The best model improves the baseline by 14.34%. [2026-01-03T13:52:58.494Z] Top recommended movies for user id 72: [2026-01-03T13:52:58.494Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:52:58.494Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:52:58.494Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:52:58.494Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:52:58.494Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:52:58.494Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16224.293 ms) ====== [2026-01-03T13:52:58.494Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-03T13:52:58.494Z] GC before operation: completed in 134.643 ms, heap usage 268.369 MB -> 88.824 MB. [2026-01-03T13:53:01.414Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:53:03.511Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:53:06.842Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:53:09.763Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:53:11.104Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:53:13.201Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:53:14.542Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:53:15.882Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:53:16.528Z] 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. [2026-01-03T13:53:16.528Z] The best model improves the baseline by 14.34%. [2026-01-03T13:53:16.528Z] Top recommended movies for user id 72: [2026-01-03T13:53:16.528Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:53:16.528Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:53:16.528Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:53:16.528Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:53:16.528Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:53:16.528Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (17927.030 ms) ====== [2026-01-03T13:53:16.528Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-03T13:53:16.528Z] GC before operation: completed in 143.844 ms, heap usage 177.127 MB -> 88.652 MB. [2026-01-03T13:53:20.358Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:53:23.277Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:53:26.192Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:53:28.282Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:53:29.624Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:53:30.961Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:53:33.055Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:53:34.392Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:53:35.035Z] 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. [2026-01-03T13:53:35.035Z] The best model improves the baseline by 14.34%. [2026-01-03T13:53:35.035Z] Top recommended movies for user id 72: [2026-01-03T13:53:35.035Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:53:35.035Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:53:35.035Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:53:35.035Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:53:35.035Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:53:35.035Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (18345.658 ms) ====== [2026-01-03T13:53:35.035Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-03T13:53:35.035Z] GC before operation: completed in 134.230 ms, heap usage 409.926 MB -> 89.240 MB. [2026-01-03T13:53:37.959Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:53:40.051Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:53:42.964Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:53:45.055Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:53:47.147Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:53:48.486Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:53:49.827Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:53:51.166Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:53:51.166Z] 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. [2026-01-03T13:53:51.166Z] The best model improves the baseline by 14.34%. [2026-01-03T13:53:51.815Z] Top recommended movies for user id 72: [2026-01-03T13:53:51.815Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:53:51.815Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:53:51.815Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:53:51.815Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:53:51.815Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:53:51.815Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (16434.348 ms) ====== [2026-01-03T13:53:51.815Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-03T13:53:51.815Z] GC before operation: completed in 136.181 ms, heap usage 241.859 MB -> 88.834 MB. [2026-01-03T13:53:54.869Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:53:57.058Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:53:59.148Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:54:01.239Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:54:02.577Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:54:04.667Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:54:06.010Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:54:07.345Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:54:07.345Z] 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. [2026-01-03T13:54:07.345Z] The best model improves the baseline by 14.34%. [2026-01-03T13:54:07.345Z] Top recommended movies for user id 72: [2026-01-03T13:54:07.345Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:54:07.345Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:54:07.345Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:54:07.345Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:54:07.345Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:54:07.345Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15736.562 ms) ====== [2026-01-03T13:54:07.345Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-03T13:54:07.990Z] GC before operation: completed in 155.893 ms, heap usage 215.938 MB -> 90.119 MB. [2026-01-03T13:54:10.083Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:54:12.182Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:54:15.094Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:54:17.187Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:54:18.530Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:54:19.867Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:54:21.983Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:54:23.321Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:54:23.321Z] 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. [2026-01-03T13:54:23.322Z] The best model improves the baseline by 14.34%. [2026-01-03T13:54:23.322Z] Top recommended movies for user id 72: [2026-01-03T13:54:23.322Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:54:23.322Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:54:23.322Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:54:23.322Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:54:23.322Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:54:23.322Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15814.354 ms) ====== [2026-01-03T13:54:23.322Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-03T13:54:23.322Z] GC before operation: completed in 135.773 ms, heap usage 141.512 MB -> 88.640 MB. [2026-01-03T13:54:26.236Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:54:28.330Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:54:30.434Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:54:32.526Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:54:33.887Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:54:35.980Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:54:37.470Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:54:38.804Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:54:39.447Z] 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. [2026-01-03T13:54:39.447Z] The best model improves the baseline by 14.34%. [2026-01-03T13:54:39.447Z] Top recommended movies for user id 72: [2026-01-03T13:54:39.447Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:54:39.447Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:54:39.447Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:54:39.447Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:54:39.447Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:54:39.447Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15712.580 ms) ====== [2026-01-03T13:54:39.447Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-03T13:54:39.447Z] GC before operation: completed in 136.682 ms, heap usage 386.176 MB -> 89.262 MB. [2026-01-03T13:54:42.358Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:54:44.446Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:54:47.368Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:54:49.460Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:54:51.549Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:54:52.882Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:54:54.219Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:54:56.310Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:54:56.310Z] 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. [2026-01-03T13:54:56.310Z] The best model improves the baseline by 14.34%. [2026-01-03T13:54:56.310Z] Top recommended movies for user id 72: [2026-01-03T13:54:56.310Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:54:56.310Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:54:56.310Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:54:56.310Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:54:56.310Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:54:56.310Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (17013.130 ms) ====== [2026-01-03T13:54:56.310Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-03T13:54:56.310Z] GC before operation: completed in 136.933 ms, heap usage 445.864 MB -> 92.577 MB. [2026-01-03T13:54:59.234Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:55:02.161Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:55:05.078Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:55:07.174Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:55:08.511Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:55:09.852Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:55:11.946Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:55:13.285Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:55:13.285Z] 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. [2026-01-03T13:55:13.285Z] The best model improves the baseline by 14.34%. [2026-01-03T13:55:13.932Z] Top recommended movies for user id 72: [2026-01-03T13:55:13.932Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:55:13.932Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:55:13.932Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:55:13.932Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:55:13.932Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:55:13.932Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (17171.926 ms) ====== [2026-01-03T13:55:13.933Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-03T13:55:13.933Z] GC before operation: completed in 134.146 ms, heap usage 190.973 MB -> 88.837 MB. [2026-01-03T13:55:16.854Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:55:18.943Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:55:21.862Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:55:23.953Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:55:25.297Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:55:27.021Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:55:28.363Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:55:29.699Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:55:29.699Z] 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. [2026-01-03T13:55:29.699Z] The best model improves the baseline by 14.34%. [2026-01-03T13:55:29.699Z] Top recommended movies for user id 72: [2026-01-03T13:55:29.699Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:55:29.699Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:55:29.699Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:55:29.699Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:55:29.699Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:55:29.699Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (16012.382 ms) ====== [2026-01-03T13:55:29.699Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-03T13:55:30.341Z] GC before operation: completed in 136.034 ms, heap usage 139.656 MB -> 88.961 MB. [2026-01-03T13:55:32.432Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:55:34.535Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:55:37.451Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:55:39.546Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:55:40.189Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:55:41.535Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:55:43.624Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:55:44.962Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:55:44.962Z] 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. [2026-01-03T13:55:44.962Z] The best model improves the baseline by 14.34%. [2026-01-03T13:55:44.962Z] Top recommended movies for user id 72: [2026-01-03T13:55:44.962Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:55:44.962Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:55:44.962Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:55:44.962Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:55:44.962Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:55:44.962Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15099.305 ms) ====== [2026-01-03T13:55:44.962Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-03T13:55:45.607Z] GC before operation: completed in 142.315 ms, heap usage 379.855 MB -> 89.169 MB. [2026-01-03T13:55:47.725Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:55:49.812Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:55:52.725Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:55:54.817Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:55:55.460Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:55:56.798Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:55:58.925Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:55:59.569Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:56:00.213Z] 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. [2026-01-03T13:56:00.213Z] The best model improves the baseline by 14.34%. [2026-01-03T13:56:00.213Z] Top recommended movies for user id 72: [2026-01-03T13:56:00.213Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:56:00.213Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:56:00.213Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:56:00.213Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:56:00.213Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:56:00.213Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14928.394 ms) ====== [2026-01-03T13:56:00.213Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-03T13:56:00.213Z] GC before operation: completed in 134.705 ms, heap usage 111.052 MB -> 88.846 MB. [2026-01-03T13:56:03.128Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:56:05.216Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:56:07.311Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:56:09.400Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:56:10.735Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:56:12.468Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:56:13.808Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:56:14.452Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:56:15.101Z] 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. [2026-01-03T13:56:15.101Z] The best model improves the baseline by 14.34%. [2026-01-03T13:56:15.101Z] Top recommended movies for user id 72: [2026-01-03T13:56:15.101Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:56:15.101Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:56:15.101Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:56:15.101Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:56:15.101Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:56:15.101Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14749.228 ms) ====== [2026-01-03T13:56:15.101Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-03T13:56:15.101Z] GC before operation: completed in 137.992 ms, heap usage 207.633 MB -> 88.925 MB. [2026-01-03T13:56:17.188Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:56:20.105Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:56:22.194Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:56:24.284Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:56:25.622Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:56:26.959Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:56:29.047Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:56:29.691Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:56:30.334Z] 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. [2026-01-03T13:56:30.334Z] The best model improves the baseline by 14.34%. [2026-01-03T13:56:30.334Z] Top recommended movies for user id 72: [2026-01-03T13:56:30.334Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:56:30.334Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:56:30.334Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:56:30.334Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:56:30.334Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:56:30.334Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15140.028 ms) ====== [2026-01-03T13:56:30.334Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-03T13:56:30.334Z] GC before operation: completed in 136.889 ms, heap usage 160.472 MB -> 88.872 MB. [2026-01-03T13:56:32.422Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T13:56:35.373Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T13:56:37.462Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T13:56:39.556Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T13:56:41.644Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T13:56:42.984Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T13:56:44.322Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T13:56:45.660Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T13:56:46.305Z] 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. [2026-01-03T13:56:46.305Z] The best model improves the baseline by 14.34%. [2026-01-03T13:56:46.305Z] Top recommended movies for user id 72: [2026-01-03T13:56:46.305Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-03T13:56:46.305Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-03T13:56:46.305Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-03T13:56:46.305Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-03T13:56:46.305Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-03T13:56:46.305Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15617.800 ms) ====== [2026-01-03T13:56:46.305Z] ----------------------------------- [2026-01-03T13:56:46.305Z] renaissance-movie-lens_0_PASSED [2026-01-03T13:56:46.305Z] ----------------------------------- [2026-01-03T13:56:46.305Z] [2026-01-03T13:56:46.305Z] TEST TEARDOWN: [2026-01-03T13:56:46.305Z] Nothing to be done for teardown. [2026-01-03T13:56:46.305Z] renaissance-movie-lens_0 Finish Time: Sat Jan 3 13:56:46 2026 Epoch Time (ms): 1767448606246