[2026-02-13T01:59:31.505Z] Running test renaissance-movie-lens_0 ... [2026-02-13T01:59:31.505Z] =============================================== [2026-02-13T01:59:31.505Z] renaissance-movie-lens_0 Start Time: Fri Feb 13 01:59:31 2026 Epoch Time (ms): 1770947971089 [2026-02-13T01:59:31.505Z] variation: NoOptions [2026-02-13T01:59:31.505Z] JVM_OPTIONS: [2026-02-13T01:59:31.505Z] { \ [2026-02-13T01:59:31.505Z] echo ""; echo "TEST SETUP:"; \ [2026-02-13T01:59:31.505Z] echo "Nothing to be done for setup."; \ [2026-02-13T01:59:31.505Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17709466791226/renaissance-movie-lens_0"; \ [2026-02-13T01:59:31.505Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17709466791226/renaissance-movie-lens_0"; \ [2026-02-13T01:59:31.505Z] echo ""; echo "TESTING:"; \ [2026-02-13T01:59:31.505Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17709466791226/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-13T01:59:31.505Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17709466791226/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-13T01:59:31.505Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-13T01:59:31.505Z] echo "Nothing to be done for teardown."; \ [2026-02-13T01:59:31.505Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17709466791226/TestTargetResult"; [2026-02-13T01:59:31.505Z] [2026-02-13T01:59:31.505Z] TEST SETUP: [2026-02-13T01:59:31.505Z] Nothing to be done for setup. [2026-02-13T01:59:31.505Z] [2026-02-13T01:59:31.505Z] TESTING: [2026-02-13T01:59:32.118Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-13T01:59:32.118Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/output_17709466791226/renaissance-movie-lens_0/launcher-015931-12715826070618185795/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-13T01:59:32.118Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-13T01:59:32.118Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-13T01:59:36.849Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-02-13T01:59:42.759Z] 01:59:42.456 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. [2026-02-13T01:59:45.561Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-13T01:59:46.176Z] Training: 60056, validation: 20285, test: 19854 [2026-02-13T01:59:46.176Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-13T01:59:46.176Z] GC before operation: completed in 239.082 ms, heap usage 163.627 MB -> 75.668 MB. [2026-02-13T01:59:53.303Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:59:56.116Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:59:59.854Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T02:00:03.629Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T02:00:05.617Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T02:00:06.893Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T02:00:08.928Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T02:00:10.935Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T02:00:10.935Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-13T02:00:11.568Z] The best model improves the baseline by 14.34%. [2026-02-13T02:00:11.568Z] Top recommended movies for user id 72: [2026-02-13T02:00:11.568Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-13T02:00:11.568Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-13T02:00:11.568Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-13T02:00:11.568Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-13T02:00:11.568Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-13T02:00:11.569Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (25163.704 ms) ====== [2026-02-13T02:00:11.569Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-13T02:00:11.569Z] GC before operation: completed in 223.179 ms, heap usage 409.712 MB -> 91.519 MB. [2026-02-13T02:00:14.415Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T02:00:17.202Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T02:00:20.912Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T02:00:23.918Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T02:00:25.229Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T02:00:27.310Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T02:00:29.338Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T02:00:30.622Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T02:00:31.254Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-13T02:00:31.254Z] The best model improves the baseline by 14.34%. [2026-02-13T02:00:31.254Z] Top recommended movies for user id 72: [2026-02-13T02:00:31.254Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-13T02:00:31.254Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-13T02:00:31.254Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-13T02:00:31.254Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-13T02:00:31.254Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-13T02:00:31.254Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19516.399 ms) ====== [2026-02-13T02:00:31.254Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-13T02:00:31.254Z] GC before operation: completed in 193.117 ms, heap usage 234.154 MB -> 87.683 MB. [2026-02-13T02:00:34.959Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T02:00:37.759Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T02:00:41.449Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T02:00:44.346Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T02:00:45.630Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T02:00:47.652Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T02:00:49.698Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T02:00:50.962Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T02:00:51.568Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-13T02:00:51.568Z] The best model improves the baseline by 14.34%. [2026-02-13T02:00:51.568Z] Top recommended movies for user id 72: [2026-02-13T02:00:51.568Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-13T02:00:51.568Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-13T02:00:51.568Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-13T02:00:51.568Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-13T02:00:51.568Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-13T02:00:51.568Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20220.703 ms) ====== [2026-02-13T02:00:51.568Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-13T02:00:51.568Z] GC before operation: completed in 184.223 ms, heap usage 388.776 MB -> 88.600 MB. [2026-02-13T02:00:54.357Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T02:00:58.078Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T02:01:00.866Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T02:01:04.078Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T02:01:05.359Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T02:01:07.359Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T02:01:09.380Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T02:01:10.660Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T02:01:11.300Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-13T02:01:11.301Z] The best model improves the baseline by 14.34%. [2026-02-13T02:01:11.301Z] Top recommended movies for user id 72: [2026-02-13T02:01:11.301Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-13T02:01:11.301Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-13T02:01:11.301Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-13T02:01:11.301Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-13T02:01:11.301Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-13T02:01:11.301Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19671.202 ms) ====== [2026-02-13T02:01:11.301Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-13T02:01:11.910Z] GC before operation: completed in 202.605 ms, heap usage 174.505 MB -> 88.517 MB. [2026-02-13T02:01:13.929Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T02:01:16.713Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T02:01:19.549Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T02:01:22.355Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T02:01:23.625Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T02:01:24.906Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T02:01:26.895Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T02:01:28.159Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T02:01:28.159Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-13T02:01:28.159Z] The best model improves the baseline by 14.34%. [2026-02-13T02:01:28.159Z] Top recommended movies for user id 72: [2026-02-13T02:01:28.159Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-13T02:01:28.159Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-13T02:01:28.159Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-13T02:01:28.159Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-13T02:01:28.159Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-13T02:01:28.159Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16760.516 ms) ====== [2026-02-13T02:01:28.159Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-13T02:01:28.781Z] GC before operation: completed in 174.175 ms, heap usage 212.664 MB -> 88.610 MB. [2026-02-13T02:01:31.634Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T02:01:34.446Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T02:01:37.262Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T02:01:39.272Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T02:01:40.581Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T02:01:42.134Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T02:01:44.147Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T02:01:45.421Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T02:01:46.027Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-13T02:01:46.027Z] The best model improves the baseline by 14.34%. [2026-02-13T02:01:46.027Z] Top recommended movies for user id 72: [2026-02-13T02:01:46.027Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-13T02:01:46.027Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-13T02:01:46.027Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-13T02:01:46.027Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-13T02:01:46.027Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-13T02:01:46.027Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (17449.818 ms) ====== [2026-02-13T02:01:46.027Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-13T02:01:46.027Z] GC before operation: completed in 241.999 ms, heap usage 219.778 MB -> 88.910 MB. [2026-02-13T02:01:48.939Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T02:01:51.759Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T02:01:54.586Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T02:01:57.377Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T02:01:58.646Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T02:01:59.916Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T02:02:01.952Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T02:02:03.316Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T02:02:04.040Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-13T02:02:04.041Z] The best model improves the baseline by 14.34%. [2026-02-13T02:02:04.041Z] Top recommended movies for user id 72: [2026-02-13T02:02:04.041Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-13T02:02:04.041Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-13T02:02:04.041Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-13T02:02:04.041Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-13T02:02:04.041Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-13T02:02:04.041Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (17766.529 ms) ====== [2026-02-13T02:02:04.041Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-13T02:02:04.041Z] GC before operation: completed in 211.382 ms, heap usage 213.114 MB -> 88.892 MB. [2026-02-13T02:02:06.999Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T02:02:09.887Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T02:02:12.656Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T02:02:14.677Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T02:02:15.943Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T02:02:17.951Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T02:02:19.219Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T02:02:20.965Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T02:02:20.965Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-13T02:02:20.965Z] The best model improves the baseline by 14.34%. [2026-02-13T02:02:20.965Z] Top recommended movies for user id 72: [2026-02-13T02:02:20.965Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-13T02:02:20.965Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-13T02:02:20.965Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-13T02:02:20.965Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-13T02:02:20.965Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-13T02:02:20.965Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (16934.381 ms) ====== [2026-02-13T02:02:20.965Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-13T02:02:21.889Z] GC before operation: completed in 189.031 ms, heap usage 142.324 MB -> 89.720 MB. [2026-02-13T02:02:23.935Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T02:02:26.708Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T02:02:29.527Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T02:02:31.587Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T02:02:32.869Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T02:02:34.166Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T02:02:36.151Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T02:02:37.417Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T02:02:37.417Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-13T02:02:37.417Z] The best model improves the baseline by 14.34%. [2026-02-13T02:02:38.023Z] Top recommended movies for user id 72: [2026-02-13T02:02:38.023Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-13T02:02:38.023Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-13T02:02:38.023Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-13T02:02:38.023Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-13T02:02:38.023Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-13T02:02:38.023Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (16435.145 ms) ====== [2026-02-13T02:02:38.023Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-13T02:02:38.023Z] GC before operation: completed in 184.333 ms, heap usage 156.713 MB -> 88.959 MB. [2026-02-13T02:02:40.056Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T02:02:42.849Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T02:02:44.830Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T02:02:46.815Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T02:02:48.812Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T02:02:50.096Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T02:02:51.399Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T02:02:52.680Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T02:02:53.329Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-13T02:02:53.329Z] The best model improves the baseline by 14.34%. [2026-02-13T02:02:53.329Z] Top recommended movies for user id 72: [2026-02-13T02:02:53.329Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-13T02:02:53.329Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-13T02:02:53.329Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-13T02:02:53.329Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-13T02:02:53.329Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-13T02:02:53.329Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15276.920 ms) ====== [2026-02-13T02:02:53.329Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-13T02:02:53.329Z] GC before operation: completed in 192.645 ms, heap usage 227.449 MB -> 89.249 MB. [2026-02-13T02:02:56.112Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T02:02:58.104Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T02:03:00.972Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T02:03:03.075Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T02:03:04.346Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T02:03:06.352Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T02:03:07.677Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T02:03:08.949Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T02:03:08.949Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-13T02:03:08.949Z] The best model improves the baseline by 14.34%. [2026-02-13T02:03:09.572Z] Top recommended movies for user id 72: [2026-02-13T02:03:09.572Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-13T02:03:09.572Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-13T02:03:09.572Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-13T02:03:09.572Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-13T02:03:09.572Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-13T02:03:09.572Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15828.724 ms) ====== [2026-02-13T02:03:09.572Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-13T02:03:09.572Z] GC before operation: completed in 183.572 ms, heap usage 178.377 MB -> 88.930 MB. [2026-02-13T02:03:11.564Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T02:03:14.402Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T02:03:17.039Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T02:03:19.020Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T02:03:20.283Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T02:03:21.552Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T02:03:23.544Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T02:03:24.832Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T02:03:24.832Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-13T02:03:24.832Z] The best model improves the baseline by 14.34%. [2026-02-13T02:03:24.832Z] Top recommended movies for user id 72: [2026-02-13T02:03:24.832Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-13T02:03:24.832Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-13T02:03:24.832Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-13T02:03:24.832Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-13T02:03:24.832Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-13T02:03:24.832Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15542.667 ms) ====== [2026-02-13T02:03:24.832Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-13T02:03:25.439Z] GC before operation: completed in 175.984 ms, heap usage 183.072 MB -> 89.186 MB. [2026-02-13T02:03:27.428Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T02:03:30.220Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T02:03:33.037Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T02:03:35.053Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T02:03:36.329Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T02:03:37.607Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T02:03:39.630Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T02:03:41.054Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T02:03:41.054Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-13T02:03:41.054Z] The best model improves the baseline by 14.34%. [2026-02-13T02:03:41.689Z] Top recommended movies for user id 72: [2026-02-13T02:03:41.689Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-13T02:03:41.689Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-13T02:03:41.689Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-13T02:03:41.689Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-13T02:03:41.689Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-13T02:03:41.689Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (16162.081 ms) ====== [2026-02-13T02:03:41.689Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-13T02:03:41.689Z] GC before operation: completed in 185.381 ms, heap usage 220.750 MB -> 89.270 MB. [2026-02-13T02:03:43.673Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T02:03:46.574Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T02:03:48.564Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T02:03:51.357Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T02:03:52.631Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T02:03:53.906Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T02:03:55.180Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T02:03:56.448Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T02:03:57.055Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-13T02:03:57.055Z] The best model improves the baseline by 14.34%. [2026-02-13T02:03:57.055Z] Top recommended movies for user id 72: [2026-02-13T02:03:57.055Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-13T02:03:57.055Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-13T02:03:57.055Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-13T02:03:57.055Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-13T02:03:57.055Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-13T02:03:57.056Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15430.492 ms) ====== [2026-02-13T02:03:57.056Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-13T02:03:57.056Z] GC before operation: completed in 139.059 ms, heap usage 201.574 MB -> 89.143 MB. [2026-02-13T02:03:59.845Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T02:04:01.827Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T02:04:03.819Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T02:04:05.807Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T02:04:07.794Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T02:04:09.059Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T02:04:10.338Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T02:04:11.607Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T02:04:11.607Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-13T02:04:11.607Z] The best model improves the baseline by 14.34%. [2026-02-13T02:04:11.607Z] Top recommended movies for user id 72: [2026-02-13T02:04:11.607Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-13T02:04:11.607Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-13T02:04:11.607Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-13T02:04:11.607Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-13T02:04:11.607Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-13T02:04:11.607Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14683.715 ms) ====== [2026-02-13T02:04:11.607Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-13T02:04:12.219Z] GC before operation: completed in 169.854 ms, heap usage 219.398 MB -> 89.377 MB. [2026-02-13T02:04:14.228Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T02:04:17.103Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T02:04:19.386Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T02:04:21.409Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T02:04:23.426Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T02:04:24.705Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T02:04:26.700Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T02:04:27.965Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T02:04:28.576Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-13T02:04:28.576Z] The best model improves the baseline by 14.34%. [2026-02-13T02:04:28.576Z] Top recommended movies for user id 72: [2026-02-13T02:04:28.576Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-13T02:04:28.576Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-13T02:04:28.576Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-13T02:04:28.576Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-13T02:04:28.576Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-13T02:04:28.576Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (16710.432 ms) ====== [2026-02-13T02:04:28.576Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-13T02:04:28.576Z] GC before operation: completed in 157.117 ms, heap usage 171.850 MB -> 89.186 MB. [2026-02-13T02:04:32.258Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T02:04:35.073Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T02:04:38.740Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T02:04:40.756Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T02:04:42.085Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T02:04:44.082Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T02:04:46.071Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T02:04:48.053Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T02:04:48.053Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-13T02:04:48.053Z] The best model improves the baseline by 14.34%. [2026-02-13T02:04:48.053Z] Top recommended movies for user id 72: [2026-02-13T02:04:48.053Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-13T02:04:48.053Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-13T02:04:48.053Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-13T02:04:48.053Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-13T02:04:48.053Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-13T02:04:48.053Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19337.854 ms) ====== [2026-02-13T02:04:48.053Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-13T02:04:48.658Z] GC before operation: completed in 191.422 ms, heap usage 178.766 MB -> 89.245 MB. [2026-02-13T02:04:50.634Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T02:04:53.471Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T02:04:56.318Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T02:04:59.109Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T02:05:00.372Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T02:05:01.637Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T02:05:02.898Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T02:05:04.878Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T02:05:04.878Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-13T02:05:05.494Z] The best model improves the baseline by 14.34%. [2026-02-13T02:05:05.494Z] Top recommended movies for user id 72: [2026-02-13T02:05:05.494Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-13T02:05:05.494Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-13T02:05:05.494Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-13T02:05:05.494Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-13T02:05:05.494Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-13T02:05:05.494Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (16901.409 ms) ====== [2026-02-13T02:05:05.495Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-13T02:05:05.495Z] GC before operation: completed in 173.331 ms, heap usage 129.314 MB -> 88.970 MB. [2026-02-13T02:05:08.295Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T02:05:10.292Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T02:05:13.088Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T02:05:15.860Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T02:05:17.177Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T02:05:18.454Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T02:05:20.448Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T02:05:21.734Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T02:05:21.734Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-13T02:05:21.734Z] The best model improves the baseline by 14.34%. [2026-02-13T02:05:22.347Z] Top recommended movies for user id 72: [2026-02-13T02:05:22.347Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-13T02:05:22.347Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-13T02:05:22.347Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-13T02:05:22.347Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-13T02:05:22.347Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-13T02:05:22.347Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (16689.808 ms) ====== [2026-02-13T02:05:22.347Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-13T02:05:22.347Z] GC before operation: completed in 142.965 ms, heap usage 157.704 MB -> 89.163 MB. [2026-02-13T02:05:24.336Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T02:05:27.171Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T02:05:29.960Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T02:05:32.830Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T02:05:34.094Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T02:05:35.367Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T02:05:37.466Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T02:05:38.754Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T02:05:39.383Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-13T02:05:39.383Z] The best model improves the baseline by 14.34%. [2026-02-13T02:05:39.383Z] Top recommended movies for user id 72: [2026-02-13T02:05:39.383Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-13T02:05:39.383Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-13T02:05:39.383Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-13T02:05:39.383Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-13T02:05:39.383Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-13T02:05:39.383Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (17176.411 ms) ====== [2026-02-13T02:05:39.991Z] ----------------------------------- [2026-02-13T02:05:39.991Z] renaissance-movie-lens_0_PASSED [2026-02-13T02:05:39.991Z] ----------------------------------- [2026-02-13T02:05:39.991Z] [2026-02-13T02:05:39.991Z] TEST TEARDOWN: [2026-02-13T02:05:39.991Z] Nothing to be done for teardown. [2026-02-13T02:05:39.991Z] renaissance-movie-lens_0 Finish Time: Fri Feb 13 02:05:39 2026 Epoch Time (ms): 1770948339514