[2026-03-05T22:20:00.075Z] Running test renaissance-movie-lens_0 ... [2026-03-05T22:20:00.075Z] =============================================== [2026-03-05T22:20:00.075Z] renaissance-movie-lens_0 Start Time: Thu Mar 5 22:19:59 2026 Epoch Time (ms): 1772749199131 [2026-03-05T22:20:00.075Z] variation: NoOptions [2026-03-05T22:20:00.075Z] JVM_OPTIONS: [2026-03-05T22:20:00.075Z] { \ [2026-03-05T22:20:00.075Z] echo ""; echo "TEST SETUP:"; \ [2026-03-05T22:20:00.075Z] echo "Nothing to be done for setup."; \ [2026-03-05T22:20:00.075Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17727480736254/renaissance-movie-lens_0"; \ [2026-03-05T22:20:00.075Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17727480736254/renaissance-movie-lens_0"; \ [2026-03-05T22:20:00.075Z] echo ""; echo "TESTING:"; \ [2026-03-05T22:20:00.075Z] "/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_17727480736254/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-05T22:20:00.075Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17727480736254/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-05T22:20:00.075Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-05T22:20:00.075Z] echo "Nothing to be done for teardown."; \ [2026-03-05T22:20:00.075Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17727480736254/TestTargetResult"; [2026-03-05T22:20:00.075Z] [2026-03-05T22:20:00.075Z] TEST SETUP: [2026-03-05T22:20:00.075Z] Nothing to be done for setup. [2026-03-05T22:20:00.075Z] [2026-03-05T22:20:00.075Z] TESTING: [2026-03-05T22:20:00.751Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-03-05T22:20:00.751Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/output_17727480736254/renaissance-movie-lens_0/launcher-221959-12127557009760233077/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-03-05T22:20:00.751Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-03-05T22:20:00.751Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-03-05T22:20:04.615Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-03-05T22:20:12.009Z] 22:20:10.817 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-03-05T22:20:13.341Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-05T22:20:14.738Z] Training: 60056, validation: 20285, test: 19854 [2026-03-05T22:20:14.738Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-05T22:20:14.738Z] GC before operation: completed in 212.471 ms, heap usage 182.287 MB -> 75.451 MB. [2026-03-05T22:20:22.163Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:20:25.286Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:20:29.120Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:20:32.133Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:20:34.285Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:20:36.446Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:20:38.516Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:20:40.637Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:20:40.637Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-05T22:20:40.637Z] The best model improves the baseline by 14.34%. [2026-03-05T22:20:41.281Z] Top recommended movies for user id 72: [2026-03-05T22:20:41.282Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T22:20:41.282Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T22:20:41.282Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T22:20:41.282Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T22:20:41.282Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T22:20:41.282Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (26395.802 ms) ====== [2026-03-05T22:20:41.282Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-05T22:20:41.282Z] GC before operation: completed in 203.790 ms, heap usage 246.764 MB -> 90.192 MB. [2026-03-05T22:20:44.195Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:20:47.128Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:20:51.077Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:20:53.208Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:20:55.266Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:20:56.605Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:20:58.702Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:21:02.456Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:21:02.456Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-05T22:21:02.456Z] The best model improves the baseline by 14.34%. [2026-03-05T22:21:02.456Z] Top recommended movies for user id 72: [2026-03-05T22:21:02.456Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T22:21:02.456Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T22:21:02.456Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T22:21:02.456Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T22:21:02.456Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T22:21:02.456Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19658.485 ms) ====== [2026-03-05T22:21:02.456Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-05T22:21:02.456Z] GC before operation: completed in 195.321 ms, heap usage 223.437 MB -> 87.605 MB. [2026-03-05T22:21:03.772Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:21:06.622Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:21:09.506Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:21:11.538Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:21:13.596Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:21:14.887Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:21:17.081Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:21:18.447Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:21:18.447Z] 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. [2026-03-05T22:21:18.447Z] The best model improves the baseline by 14.34%. [2026-03-05T22:21:18.447Z] Top recommended movies for user id 72: [2026-03-05T22:21:18.447Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T22:21:18.447Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T22:21:18.447Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T22:21:18.447Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T22:21:18.447Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T22:21:18.447Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17544.910 ms) ====== [2026-03-05T22:21:18.447Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-05T22:21:19.065Z] GC before operation: completed in 170.768 ms, heap usage 150.897 MB -> 88.170 MB. [2026-03-05T22:21:21.986Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:21:25.021Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:21:27.920Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:21:30.797Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:21:32.916Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:21:34.247Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:21:36.293Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:21:38.343Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:21:38.343Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-05T22:21:38.343Z] The best model improves the baseline by 14.34%. [2026-03-05T22:21:38.343Z] Top recommended movies for user id 72: [2026-03-05T22:21:38.343Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T22:21:38.343Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T22:21:38.343Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T22:21:38.343Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T22:21:38.343Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T22:21:38.343Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19794.427 ms) ====== [2026-03-05T22:21:38.343Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-05T22:21:38.989Z] GC before operation: completed in 200.402 ms, heap usage 212.119 MB -> 88.451 MB. [2026-03-05T22:21:42.210Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:21:45.143Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:21:48.034Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:21:50.977Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:21:52.270Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:21:53.690Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:21:55.704Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:21:56.749Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:21:56.749Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-05T22:21:56.749Z] The best model improves the baseline by 14.34%. [2026-03-05T22:21:57.390Z] Top recommended movies for user id 72: [2026-03-05T22:21:57.390Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T22:21:57.390Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T22:21:57.390Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T22:21:57.390Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T22:21:57.390Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T22:21:57.390Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (18418.800 ms) ====== [2026-03-05T22:21:57.390Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-05T22:21:57.390Z] GC before operation: completed in 153.306 ms, heap usage 203.205 MB -> 88.432 MB. [2026-03-05T22:22:00.216Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:22:03.022Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:22:05.835Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:22:08.205Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:22:09.583Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:22:10.945Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:22:12.296Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:22:13.667Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:22:13.667Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-05T22:22:13.667Z] The best model improves the baseline by 14.34%. [2026-03-05T22:22:13.667Z] Top recommended movies for user id 72: [2026-03-05T22:22:13.667Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T22:22:13.667Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T22:22:13.667Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T22:22:13.667Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T22:22:13.667Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T22:22:13.667Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16623.557 ms) ====== [2026-03-05T22:22:13.667Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-05T22:22:14.285Z] GC before operation: completed in 141.121 ms, heap usage 162.266 MB -> 88.796 MB. [2026-03-05T22:22:17.086Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:22:19.076Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:22:21.868Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:22:23.895Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:22:25.179Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:22:27.226Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:22:28.534Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:22:29.837Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:22:29.837Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-05T22:22:29.837Z] The best model improves the baseline by 14.34%. [2026-03-05T22:22:30.455Z] Top recommended movies for user id 72: [2026-03-05T22:22:30.455Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T22:22:30.455Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T22:22:30.455Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T22:22:30.455Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T22:22:30.455Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T22:22:30.455Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16170.766 ms) ====== [2026-03-05T22:22:30.455Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-05T22:22:30.455Z] GC before operation: completed in 174.583 ms, heap usage 162.401 MB -> 88.772 MB. [2026-03-05T22:22:32.469Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:22:35.297Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:22:38.133Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:22:40.149Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:22:41.463Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:22:42.744Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:22:44.389Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:22:45.667Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:22:46.305Z] 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. [2026-03-05T22:22:46.305Z] The best model improves the baseline by 14.34%. [2026-03-05T22:22:46.305Z] Top recommended movies for user id 72: [2026-03-05T22:22:46.305Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T22:22:46.305Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T22:22:46.305Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T22:22:46.305Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T22:22:46.305Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T22:22:46.305Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15776.988 ms) ====== [2026-03-05T22:22:46.305Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-05T22:22:46.305Z] GC before operation: completed in 164.495 ms, heap usage 208.340 MB -> 88.981 MB. [2026-03-05T22:22:49.104Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:22:51.924Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:22:54.899Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:22:56.935Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:22:58.262Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:23:00.289Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:23:01.671Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:23:02.980Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:23:02.980Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-05T22:23:02.980Z] The best model improves the baseline by 14.34%. [2026-03-05T22:23:03.625Z] Top recommended movies for user id 72: [2026-03-05T22:23:03.625Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T22:23:03.625Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T22:23:03.625Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T22:23:03.625Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T22:23:03.625Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T22:23:03.625Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (17092.446 ms) ====== [2026-03-05T22:23:03.625Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-05T22:23:03.625Z] GC before operation: completed in 146.174 ms, heap usage 211.830 MB -> 88.940 MB. [2026-03-05T22:23:06.482Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:23:08.885Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:23:11.019Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:23:13.879Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:23:15.200Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:23:16.484Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:23:17.791Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:23:19.115Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:23:19.115Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-05T22:23:19.724Z] The best model improves the baseline by 14.34%. [2026-03-05T22:23:19.724Z] Top recommended movies for user id 72: [2026-03-05T22:23:19.724Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T22:23:19.724Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T22:23:19.724Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T22:23:19.724Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T22:23:19.724Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T22:23:19.724Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15937.359 ms) ====== [2026-03-05T22:23:19.724Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-05T22:23:19.724Z] GC before operation: completed in 158.531 ms, heap usage 350.419 MB -> 89.404 MB. [2026-03-05T22:23:22.576Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:23:24.619Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:23:27.529Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:23:29.855Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:23:30.554Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:23:32.577Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:23:33.906Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:23:35.225Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:23:35.866Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-05T22:23:35.866Z] The best model improves the baseline by 14.34%. [2026-03-05T22:23:35.866Z] Top recommended movies for user id 72: [2026-03-05T22:23:35.866Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T22:23:35.866Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T22:23:35.866Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T22:23:35.866Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T22:23:35.866Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T22:23:35.866Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (16315.769 ms) ====== [2026-03-05T22:23:35.866Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-05T22:23:36.478Z] GC before operation: completed in 170.022 ms, heap usage 447.182 MB -> 92.381 MB. [2026-03-05T22:23:38.519Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:23:41.402Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:23:44.304Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:23:47.240Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:23:49.345Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:23:51.398Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:23:52.838Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:23:54.207Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:23:54.867Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-05T22:23:54.867Z] The best model improves the baseline by 14.34%. [2026-03-05T22:23:54.867Z] Top recommended movies for user id 72: [2026-03-05T22:23:54.867Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T22:23:54.867Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T22:23:54.867Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T22:23:54.867Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T22:23:54.867Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T22:23:54.867Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18798.957 ms) ====== [2026-03-05T22:23:54.867Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-05T22:23:55.496Z] GC before operation: completed in 181.843 ms, heap usage 444.274 MB -> 92.652 MB. [2026-03-05T22:23:57.576Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:24:00.477Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:24:04.327Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:24:06.416Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:24:08.549Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:24:10.021Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:24:12.132Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:24:14.226Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:24:14.226Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-05T22:24:14.226Z] The best model improves the baseline by 14.34%. [2026-03-05T22:24:14.226Z] Top recommended movies for user id 72: [2026-03-05T22:24:14.226Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T22:24:14.226Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T22:24:14.226Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T22:24:14.226Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T22:24:14.226Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T22:24:14.226Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19236.567 ms) ====== [2026-03-05T22:24:14.226Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-05T22:24:14.856Z] GC before operation: completed in 159.869 ms, heap usage 338.784 MB -> 89.265 MB. [2026-03-05T22:24:17.392Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:24:20.318Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:24:23.953Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:24:26.133Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:24:28.336Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:24:29.688Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:24:31.428Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:24:33.726Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:24:33.727Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-05T22:24:33.727Z] The best model improves the baseline by 14.34%. [2026-03-05T22:24:33.727Z] Top recommended movies for user id 72: [2026-03-05T22:24:33.727Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T22:24:33.727Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T22:24:33.727Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T22:24:33.727Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T22:24:33.727Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T22:24:33.727Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19330.541 ms) ====== [2026-03-05T22:24:33.727Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-05T22:24:34.401Z] GC before operation: completed in 161.965 ms, heap usage 444.680 MB -> 92.560 MB. [2026-03-05T22:24:37.347Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:24:40.267Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:24:43.271Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:24:45.385Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:24:47.554Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:24:49.648Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:24:51.015Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:24:52.805Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:24:52.805Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-05T22:24:52.805Z] The best model improves the baseline by 14.34%. [2026-03-05T22:24:52.805Z] Top recommended movies for user id 72: [2026-03-05T22:24:52.805Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T22:24:52.805Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T22:24:52.805Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T22:24:52.805Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T22:24:52.805Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T22:24:52.805Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18913.746 ms) ====== [2026-03-05T22:24:52.805Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-05T22:24:53.484Z] GC before operation: completed in 173.998 ms, heap usage 242.654 MB -> 89.173 MB. [2026-03-05T22:24:55.597Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:24:58.535Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:25:01.471Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:25:03.648Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:25:05.410Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:25:06.776Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:25:08.125Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:25:10.181Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:25:10.181Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-05T22:25:10.181Z] The best model improves the baseline by 14.34%. [2026-03-05T22:25:10.181Z] Top recommended movies for user id 72: [2026-03-05T22:25:10.181Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T22:25:10.181Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T22:25:10.181Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T22:25:10.181Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T22:25:10.181Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T22:25:10.181Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (17131.434 ms) ====== [2026-03-05T22:25:10.181Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-05T22:25:10.181Z] GC before operation: completed in 157.711 ms, heap usage 218.432 MB -> 89.022 MB. [2026-03-05T22:25:12.896Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:25:15.854Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:25:18.365Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:25:20.785Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:25:22.194Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:25:23.596Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:25:25.046Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:25:26.389Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:25:27.021Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-05T22:25:27.021Z] The best model improves the baseline by 14.34%. [2026-03-05T22:25:27.021Z] Top recommended movies for user id 72: [2026-03-05T22:25:27.021Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T22:25:27.021Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T22:25:27.021Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T22:25:27.021Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T22:25:27.021Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T22:25:27.021Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (16423.252 ms) ====== [2026-03-05T22:25:27.021Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-05T22:25:27.021Z] GC before operation: completed in 159.185 ms, heap usage 191.979 MB -> 88.993 MB. [2026-03-05T22:25:29.954Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:25:32.112Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:25:34.978Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:25:37.066Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:25:39.234Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:25:40.577Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:25:42.743Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:25:44.140Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:25:44.140Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-05T22:25:44.140Z] The best model improves the baseline by 14.34%. [2026-03-05T22:25:44.140Z] Top recommended movies for user id 72: [2026-03-05T22:25:44.141Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T22:25:44.141Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T22:25:44.141Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T22:25:44.141Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T22:25:44.141Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T22:25:44.141Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (17350.058 ms) ====== [2026-03-05T22:25:44.141Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-05T22:25:44.789Z] GC before operation: completed in 149.604 ms, heap usage 249.010 MB -> 89.030 MB. [2026-03-05T22:25:46.898Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:25:49.845Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:25:51.924Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:25:54.474Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:25:55.816Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:25:57.907Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:25:59.262Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:26:00.639Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:26:01.270Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-05T22:26:01.270Z] The best model improves the baseline by 14.34%. [2026-03-05T22:26:01.270Z] Top recommended movies for user id 72: [2026-03-05T22:26:01.270Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T22:26:01.270Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T22:26:01.270Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T22:26:01.270Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T22:26:01.270Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T22:26:01.270Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (16617.020 ms) ====== [2026-03-05T22:26:01.270Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-05T22:26:01.270Z] GC before operation: completed in 165.269 ms, heap usage 254.235 MB -> 89.136 MB. [2026-03-05T22:26:04.235Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:26:07.617Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:26:09.817Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:26:12.775Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:26:13.464Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:26:14.778Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:26:16.864Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:26:18.254Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:26:18.254Z] 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. [2026-03-05T22:26:18.254Z] The best model improves the baseline by 14.34%. [2026-03-05T22:26:18.254Z] Top recommended movies for user id 72: [2026-03-05T22:26:18.254Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T22:26:18.254Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T22:26:18.255Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T22:26:18.255Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T22:26:18.255Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T22:26:18.255Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (17014.733 ms) ====== [2026-03-05T22:26:18.895Z] ----------------------------------- [2026-03-05T22:26:18.895Z] renaissance-movie-lens_0_PASSED [2026-03-05T22:26:18.895Z] ----------------------------------- [2026-03-05T22:26:18.895Z] [2026-03-05T22:26:18.895Z] TEST TEARDOWN: [2026-03-05T22:26:18.895Z] Nothing to be done for teardown. [2026-03-05T22:26:18.895Z] renaissance-movie-lens_0 Finish Time: Thu Mar 5 22:26:18 2026 Epoch Time (ms): 1772749578569