[2026-02-20T00:41:47.549Z] Running test renaissance-movie-lens_0 ... [2026-02-20T00:41:47.549Z] =============================================== [2026-02-20T00:41:47.549Z] renaissance-movie-lens_0 Start Time: Fri Feb 20 00:41:47 2026 Epoch Time (ms): 1771548107206 [2026-02-20T00:41:47.549Z] variation: NoOptions [2026-02-20T00:41:47.549Z] JVM_OPTIONS: [2026-02-20T00:41:47.549Z] { \ [2026-02-20T00:41:47.549Z] echo ""; echo "TEST SETUP:"; \ [2026-02-20T00:41:47.549Z] echo "Nothing to be done for setup."; \ [2026-02-20T00:41:47.549Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17715470757808/renaissance-movie-lens_0"; \ [2026-02-20T00:41:47.549Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17715470757808/renaissance-movie-lens_0"; \ [2026-02-20T00:41:47.549Z] echo ""; echo "TESTING:"; \ [2026-02-20T00:41:47.549Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_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_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17715470757808/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-20T00:41:47.549Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17715470757808/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-20T00:41:47.549Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-20T00:41:47.549Z] echo "Nothing to be done for teardown."; \ [2026-02-20T00:41:47.549Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17715470757808/TestTargetResult"; [2026-02-20T00:41:47.549Z] [2026-02-20T00:41:47.549Z] TEST SETUP: [2026-02-20T00:41:47.549Z] Nothing to be done for setup. [2026-02-20T00:41:47.549Z] [2026-02-20T00:41:47.549Z] TESTING: [2026-02-20T00:41:48.512Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-20T00:41:48.512Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/output_17715470757808/renaissance-movie-lens_0/launcher-004147-1207006274452589907/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-20T00:41:48.512Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-20T00:41:48.512Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-20T00:41:55.408Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-20T00:42:03.612Z] 00:42:02.643 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-20T00:42:05.587Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-20T00:42:05.587Z] Training: 60056, validation: 20285, test: 19854 [2026-02-20T00:42:05.587Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-20T00:42:05.587Z] GC before operation: completed in 101.639 ms, heap usage 172.697 MB -> 75.858 MB. [2026-02-20T00:42:12.379Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:42:15.435Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:42:18.481Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:42:21.540Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:42:23.554Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:42:25.537Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:42:27.577Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:42:28.540Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:42:28.540Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:42:29.508Z] The best model improves the baseline by 14.52%. [2026-02-20T00:42:29.508Z] Top recommended movies for user id 72: [2026-02-20T00:42:29.508Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:42:29.508Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:42:29.508Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:42:29.508Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:42:29.508Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:42:29.508Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (23595.444 ms) ====== [2026-02-20T00:42:29.508Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-20T00:42:29.508Z] GC before operation: completed in 139.954 ms, heap usage 189.510 MB -> 89.710 MB. [2026-02-20T00:42:32.567Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:42:34.545Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:42:37.596Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:42:39.570Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:42:40.532Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:42:42.515Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:42:44.496Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:42:45.464Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:42:45.464Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:42:45.464Z] The best model improves the baseline by 14.52%. [2026-02-20T00:42:45.464Z] Top recommended movies for user id 72: [2026-02-20T00:42:45.464Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:42:45.464Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:42:45.464Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:42:45.464Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:42:45.464Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:42:45.464Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16417.943 ms) ====== [2026-02-20T00:42:45.464Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-20T00:42:45.464Z] GC before operation: completed in 137.183 ms, heap usage 201.683 MB -> 88.641 MB. [2026-02-20T00:42:48.514Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:42:50.486Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:42:53.540Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:42:55.512Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:42:57.489Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:42:58.448Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:43:00.424Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:43:01.393Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:43:01.393Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:43:01.393Z] The best model improves the baseline by 14.52%. [2026-02-20T00:43:02.365Z] Top recommended movies for user id 72: [2026-02-20T00:43:02.365Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:43:02.365Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:43:02.365Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:43:02.365Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:43:02.365Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:43:02.365Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16030.167 ms) ====== [2026-02-20T00:43:02.365Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-20T00:43:02.365Z] GC before operation: completed in 134.857 ms, heap usage 178.628 MB -> 89.364 MB. [2026-02-20T00:43:04.204Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:43:07.274Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:43:09.249Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:43:11.222Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:43:13.198Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:43:14.158Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:43:16.136Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:43:17.096Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:43:17.096Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:43:17.096Z] The best model improves the baseline by 14.52%. [2026-02-20T00:43:17.096Z] Top recommended movies for user id 72: [2026-02-20T00:43:17.096Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:43:17.096Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:43:17.096Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:43:17.096Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:43:17.096Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:43:17.096Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15420.926 ms) ====== [2026-02-20T00:43:17.096Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-20T00:43:18.060Z] GC before operation: completed in 137.902 ms, heap usage 365.549 MB -> 89.931 MB. [2026-02-20T00:43:20.040Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:43:22.015Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:43:25.115Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:43:27.087Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:43:28.051Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:43:30.022Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:43:30.983Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:43:31.948Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:43:31.948Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:43:31.948Z] The best model improves the baseline by 14.52%. [2026-02-20T00:43:32.908Z] Top recommended movies for user id 72: [2026-02-20T00:43:32.908Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:43:32.908Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:43:32.908Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:43:32.908Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:43:32.908Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:43:32.908Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (14837.768 ms) ====== [2026-02-20T00:43:32.908Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-20T00:43:32.908Z] GC before operation: completed in 119.772 ms, heap usage 293.087 MB -> 89.753 MB. [2026-02-20T00:43:34.887Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:43:36.868Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:43:38.849Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:43:41.911Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:43:42.874Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:43:43.839Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:43:45.821Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:43:46.781Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:43:46.781Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:43:46.781Z] The best model improves the baseline by 14.52%. [2026-02-20T00:43:46.781Z] Top recommended movies for user id 72: [2026-02-20T00:43:46.781Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:43:46.781Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:43:46.781Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:43:46.781Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:43:46.781Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:43:46.781Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (14501.086 ms) ====== [2026-02-20T00:43:46.781Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-20T00:43:46.781Z] GC before operation: completed in 122.591 ms, heap usage 337.341 MB -> 90.144 MB. [2026-02-20T00:43:49.842Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:43:51.819Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:43:53.789Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:43:55.770Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:43:57.745Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:43:58.705Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:43:59.664Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:44:01.638Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:44:01.638Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:44:01.638Z] The best model improves the baseline by 14.52%. [2026-02-20T00:44:01.638Z] Top recommended movies for user id 72: [2026-02-20T00:44:01.638Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:44:01.638Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:44:01.638Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:44:01.638Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:44:01.638Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:44:01.638Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14493.642 ms) ====== [2026-02-20T00:44:01.638Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-20T00:44:01.638Z] GC before operation: completed in 120.199 ms, heap usage 363.793 MB -> 90.130 MB. [2026-02-20T00:44:03.604Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:44:06.668Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:44:08.658Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:44:10.648Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:44:11.612Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:44:12.582Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:44:13.549Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:44:15.577Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:44:15.577Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:44:15.577Z] The best model improves the baseline by 14.52%. [2026-02-20T00:44:15.577Z] Top recommended movies for user id 72: [2026-02-20T00:44:15.577Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:44:15.577Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:44:15.577Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:44:15.577Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:44:15.577Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:44:15.577Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (13528.275 ms) ====== [2026-02-20T00:44:15.577Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-20T00:44:15.577Z] GC before operation: completed in 116.568 ms, heap usage 227.811 MB -> 90.150 MB. [2026-02-20T00:44:17.579Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:44:19.093Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:44:21.080Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:44:23.059Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:44:25.038Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:44:26.002Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:44:27.981Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:44:28.947Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:44:28.948Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:44:28.948Z] The best model improves the baseline by 14.52%. [2026-02-20T00:44:28.948Z] Top recommended movies for user id 72: [2026-02-20T00:44:28.948Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:44:28.948Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:44:28.948Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:44:28.948Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:44:28.948Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:44:28.948Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (13757.486 ms) ====== [2026-02-20T00:44:28.948Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-20T00:44:28.948Z] GC before operation: completed in 115.859 ms, heap usage 360.746 MB -> 90.220 MB. [2026-02-20T00:44:31.989Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:44:33.964Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:44:35.942Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:44:38.093Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:44:39.055Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:44:40.015Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:44:41.991Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:44:42.955Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:44:42.955Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:44:42.955Z] The best model improves the baseline by 14.52%. [2026-02-20T00:44:42.955Z] Top recommended movies for user id 72: [2026-02-20T00:44:42.955Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:44:42.955Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:44:42.955Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:44:42.955Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:44:42.955Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:44:42.955Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (13720.524 ms) ====== [2026-02-20T00:44:42.955Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-20T00:44:42.955Z] GC before operation: completed in 113.858 ms, heap usage 420.770 MB -> 90.555 MB. [2026-02-20T00:44:44.952Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:44:46.925Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:44:50.741Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:44:51.720Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:44:51.720Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:44:53.706Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:44:54.670Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:44:55.635Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:44:56.602Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:44:56.602Z] The best model improves the baseline by 14.52%. [2026-02-20T00:44:56.602Z] Top recommended movies for user id 72: [2026-02-20T00:44:56.602Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:44:56.602Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:44:56.602Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:44:56.602Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:44:56.602Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:44:56.602Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (13086.901 ms) ====== [2026-02-20T00:44:56.602Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-20T00:44:56.602Z] GC before operation: completed in 114.350 ms, heap usage 106.226 MB -> 92.621 MB. [2026-02-20T00:44:58.602Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:45:00.585Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:45:02.593Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:45:04.583Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:45:06.559Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:45:07.521Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:45:08.484Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:45:10.466Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:45:10.466Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:45:10.466Z] The best model improves the baseline by 14.52%. [2026-02-20T00:45:10.466Z] Top recommended movies for user id 72: [2026-02-20T00:45:10.466Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:45:10.466Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:45:10.466Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:45:10.466Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:45:10.466Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:45:10.466Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (13962.960 ms) ====== [2026-02-20T00:45:10.466Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-20T00:45:10.466Z] GC before operation: completed in 132.384 ms, heap usage 278.168 MB -> 90.301 MB. [2026-02-20T00:45:13.546Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:45:16.583Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:45:18.553Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:45:21.612Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:45:22.719Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:45:24.695Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:45:26.665Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:45:27.633Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:45:28.593Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:45:28.593Z] The best model improves the baseline by 14.52%. [2026-02-20T00:45:28.593Z] Top recommended movies for user id 72: [2026-02-20T00:45:28.593Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:45:28.593Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:45:28.593Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:45:28.593Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:45:28.593Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:45:28.593Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (17926.469 ms) ====== [2026-02-20T00:45:28.593Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-20T00:45:28.593Z] GC before operation: completed in 154.380 ms, heap usage 474.485 MB -> 92.521 MB. [2026-02-20T00:45:31.644Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:45:34.332Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:45:37.380Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:45:39.353Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:45:41.324Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:45:43.301Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:45:44.263Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:45:46.240Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:45:46.240Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:45:46.240Z] The best model improves the baseline by 14.52%. [2026-02-20T00:45:47.201Z] Top recommended movies for user id 72: [2026-02-20T00:45:47.201Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:45:47.201Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:45:47.201Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:45:47.201Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:45:47.201Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:45:47.202Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18261.769 ms) ====== [2026-02-20T00:45:47.202Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-20T00:45:47.202Z] GC before operation: completed in 154.922 ms, heap usage 129.447 MB -> 90.322 MB. [2026-02-20T00:45:50.253Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:45:53.294Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:45:55.265Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:45:58.314Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:46:00.283Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:46:02.287Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:46:04.264Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:46:05.231Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:46:06.198Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:46:06.198Z] The best model improves the baseline by 14.52%. [2026-02-20T00:46:06.198Z] Top recommended movies for user id 72: [2026-02-20T00:46:06.198Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:46:06.198Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:46:06.198Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:46:06.198Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:46:06.198Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:46:06.198Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19113.058 ms) ====== [2026-02-20T00:46:06.198Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-20T00:46:06.198Z] GC before operation: completed in 142.153 ms, heap usage 99.443 MB -> 90.323 MB. [2026-02-20T00:46:09.275Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:46:11.253Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:46:14.293Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:46:17.361Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:46:19.334Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:46:20.292Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:46:22.262Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:46:24.240Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:46:24.240Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:46:24.240Z] The best model improves the baseline by 14.52%. [2026-02-20T00:46:24.240Z] Top recommended movies for user id 72: [2026-02-20T00:46:24.240Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:46:24.240Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:46:24.240Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:46:24.240Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:46:24.240Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:46:24.240Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18307.634 ms) ====== [2026-02-20T00:46:24.240Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-20T00:46:25.201Z] GC before operation: completed in 157.178 ms, heap usage 572.356 MB -> 93.964 MB. [2026-02-20T00:46:27.180Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:46:30.235Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:46:33.269Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:46:36.309Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:46:38.333Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:46:40.302Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:46:42.296Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:46:44.282Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:46:44.282Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:46:44.282Z] The best model improves the baseline by 14.52%. [2026-02-20T00:46:44.282Z] Top recommended movies for user id 72: [2026-02-20T00:46:44.282Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:46:44.282Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:46:44.282Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:46:44.282Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:46:44.282Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:46:44.282Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19566.107 ms) ====== [2026-02-20T00:46:44.282Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-20T00:46:44.282Z] GC before operation: completed in 202.557 ms, heap usage 447.954 MB -> 90.623 MB. [2026-02-20T00:46:47.328Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:46:51.544Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:46:54.222Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:46:58.413Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:47:00.392Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:47:02.361Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:47:04.335Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:47:06.306Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:47:06.306Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:47:06.306Z] The best model improves the baseline by 14.52%. [2026-02-20T00:47:06.306Z] Top recommended movies for user id 72: [2026-02-20T00:47:06.306Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:47:06.306Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:47:06.306Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:47:06.306Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:47:06.306Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:47:06.306Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (22158.182 ms) ====== [2026-02-20T00:47:06.306Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-20T00:47:07.265Z] GC before operation: completed in 240.359 ms, heap usage 251.021 MB -> 90.178 MB. [2026-02-20T00:47:10.357Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:47:13.402Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:47:16.455Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:47:19.506Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:47:21.485Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:47:23.548Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:47:25.520Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:47:28.565Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:47:28.565Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:47:28.565Z] The best model improves the baseline by 14.52%. [2026-02-20T00:47:28.565Z] Top recommended movies for user id 72: [2026-02-20T00:47:28.565Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:47:28.565Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:47:28.565Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:47:28.565Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:47:28.565Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:47:28.565Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (21782.492 ms) ====== [2026-02-20T00:47:28.565Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-20T00:47:28.565Z] GC before operation: completed in 168.363 ms, heap usage 166.413 MB -> 90.255 MB. [2026-02-20T00:47:31.610Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:47:35.823Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:47:38.871Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:47:40.842Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:47:42.821Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:47:43.780Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:47:45.778Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:47:47.755Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:47:47.755Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:47:47.755Z] The best model improves the baseline by 14.52%. [2026-02-20T00:47:47.755Z] Top recommended movies for user id 72: [2026-02-20T00:47:47.755Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:47:47.755Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:47:47.755Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:47:47.755Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:47:47.755Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:47:47.755Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19044.840 ms) ====== [2026-02-20T00:47:48.715Z] ----------------------------------- [2026-02-20T00:47:48.715Z] renaissance-movie-lens_0_PASSED [2026-02-20T00:47:48.715Z] ----------------------------------- [2026-02-20T00:47:48.715Z] [2026-02-20T00:47:48.715Z] TEST TEARDOWN: [2026-02-20T00:47:48.715Z] Nothing to be done for teardown. [2026-02-20T00:47:48.715Z] renaissance-movie-lens_0 Finish Time: Fri Feb 20 00:47:48 2026 Epoch Time (ms): 1771548468590