[2026-01-10T12:57:25.414Z] Running test renaissance-movie-lens_0 ... [2026-01-10T12:57:25.414Z] =============================================== [2026-01-10T12:57:25.414Z] renaissance-movie-lens_0 Start Time: Sat Jan 10 07:57:25 2026 Epoch Time (ms): 1768049845153 [2026-01-10T12:57:25.414Z] variation: NoOptions [2026-01-10T12:57:25.414Z] JVM_OPTIONS: [2026-01-10T12:57:25.414Z] { \ [2026-01-10T12:57:25.414Z] echo ""; echo "TEST SETUP:"; \ [2026-01-10T12:57:25.414Z] echo "Nothing to be done for setup."; \ [2026-01-10T12:57:25.414Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17680490768934/renaissance-movie-lens_0"; \ [2026-01-10T12:57:25.414Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17680490768934/renaissance-movie-lens_0"; \ [2026-01-10T12:57:25.414Z] echo ""; echo "TESTING:"; \ [2026-01-10T12:57:25.414Z] "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//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 "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17680490768934/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-10T12:57:25.415Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17680490768934/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-10T12:57:25.415Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-10T12:57:25.415Z] echo "Nothing to be done for teardown."; \ [2026-01-10T12:57:25.415Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17680490768934/TestTargetResult"; [2026-01-10T12:57:25.415Z] [2026-01-10T12:57:25.415Z] TEST SETUP: [2026-01-10T12:57:25.415Z] Nothing to be done for setup. [2026-01-10T12:57:25.415Z] [2026-01-10T12:57:25.415Z] TESTING: [2026-01-10T12:57:25.764Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-10T12:57:25.764Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/output_17680490768934/renaissance-movie-lens_0/launcher-075725-4790293912074332159/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-10T12:57:25.764Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-10T12:57:25.764Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-10T12:57:28.844Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-10T12:57:31.202Z] 07:57:30.882 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. [2026-01-10T12:57:31.997Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-10T12:57:32.380Z] Training: 60056, validation: 20285, test: 19854 [2026-01-10T12:57:32.380Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-10T12:57:32.380Z] GC before operation: completed in 67.713 ms, heap usage 259.356 MB -> 75.838 MB. [2026-01-10T12:57:35.512Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T12:57:36.731Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T12:57:38.489Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T12:57:39.718Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T12:57:40.954Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T12:57:41.723Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T12:57:42.491Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T12:57:43.276Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T12:57:43.276Z] 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. [2026-01-10T12:57:43.276Z] The best model improves the baseline by 14.52%. [2026-01-10T12:57:43.625Z] Top recommended movies for user id 72: [2026-01-10T12:57:43.625Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T12:57:43.625Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T12:57:43.625Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T12:57:43.625Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T12:57:43.625Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T12:57:43.625Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (11099.541 ms) ====== [2026-01-10T12:57:43.625Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-10T12:57:43.625Z] GC before operation: completed in 45.789 ms, heap usage 97.614 MB -> 86.366 MB. [2026-01-10T12:57:44.845Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T12:57:46.083Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T12:57:47.836Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T12:57:49.107Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T12:57:49.458Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T12:57:50.216Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T12:57:50.965Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T12:57:51.712Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T12:57:51.712Z] 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. [2026-01-10T12:57:51.712Z] The best model improves the baseline by 14.52%. [2026-01-10T12:57:51.713Z] Top recommended movies for user id 72: [2026-01-10T12:57:51.713Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T12:57:51.713Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T12:57:51.713Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T12:57:51.713Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T12:57:51.713Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T12:57:51.713Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (8278.522 ms) ====== [2026-01-10T12:57:51.713Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-10T12:57:51.713Z] GC before operation: completed in 44.551 ms, heap usage 376.779 MB -> 88.966 MB. [2026-01-10T12:57:52.937Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T12:57:54.758Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T12:57:55.983Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T12:57:57.202Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T12:57:57.963Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T12:57:58.724Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T12:57:59.484Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T12:58:00.245Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T12:58:00.246Z] 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. [2026-01-10T12:58:00.595Z] The best model improves the baseline by 14.52%. [2026-01-10T12:58:00.595Z] Top recommended movies for user id 72: [2026-01-10T12:58:00.595Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T12:58:00.595Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T12:58:00.595Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T12:58:00.595Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T12:58:00.595Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T12:58:00.595Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (8634.010 ms) ====== [2026-01-10T12:58:00.595Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-10T12:58:00.595Z] GC before operation: completed in 50.201 ms, heap usage 138.232 MB -> 89.083 MB. [2026-01-10T12:58:01.811Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T12:58:03.029Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T12:58:04.808Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T12:58:06.033Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T12:58:06.794Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T12:58:07.553Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T12:58:08.328Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T12:58:09.551Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T12:58:09.551Z] 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. [2026-01-10T12:58:09.551Z] The best model improves the baseline by 14.52%. [2026-01-10T12:58:09.551Z] Top recommended movies for user id 72: [2026-01-10T12:58:09.551Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T12:58:09.551Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T12:58:09.551Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T12:58:09.551Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T12:58:09.551Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T12:58:09.551Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (9055.930 ms) ====== [2026-01-10T12:58:09.551Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-10T12:58:09.551Z] GC before operation: completed in 51.263 ms, heap usage 239.494 MB -> 89.609 MB. [2026-01-10T12:58:11.333Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T12:58:12.573Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T12:58:14.353Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T12:58:15.608Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T12:58:16.377Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T12:58:17.149Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T12:58:17.910Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T12:58:18.711Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T12:58:18.711Z] 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. [2026-01-10T12:58:18.711Z] The best model improves the baseline by 14.52%. [2026-01-10T12:58:19.061Z] Top recommended movies for user id 72: [2026-01-10T12:58:19.061Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T12:58:19.061Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T12:58:19.061Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T12:58:19.061Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T12:58:19.061Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T12:58:19.061Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (9278.665 ms) ====== [2026-01-10T12:58:19.061Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-10T12:58:19.061Z] GC before operation: completed in 44.603 ms, heap usage 378.766 MB -> 89.688 MB. [2026-01-10T12:58:20.273Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T12:58:21.487Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T12:58:22.740Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T12:58:23.955Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T12:58:24.715Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T12:58:25.473Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T12:58:26.243Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T12:58:26.999Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T12:58:26.999Z] 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. [2026-01-10T12:58:26.999Z] The best model improves the baseline by 14.52%. [2026-01-10T12:58:27.353Z] Top recommended movies for user id 72: [2026-01-10T12:58:27.353Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T12:58:27.353Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T12:58:27.353Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T12:58:27.353Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T12:58:27.353Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T12:58:27.353Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (8238.847 ms) ====== [2026-01-10T12:58:27.353Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-10T12:58:27.353Z] GC before operation: completed in 57.282 ms, heap usage 128.923 MB -> 92.566 MB. [2026-01-10T12:58:28.621Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T12:58:30.394Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T12:58:31.624Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T12:58:32.837Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T12:58:33.623Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T12:58:34.385Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T12:58:35.147Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T12:58:35.917Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T12:58:36.278Z] 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. [2026-01-10T12:58:36.278Z] The best model improves the baseline by 14.52%. [2026-01-10T12:58:36.278Z] Top recommended movies for user id 72: [2026-01-10T12:58:36.278Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T12:58:36.278Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T12:58:36.278Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T12:58:36.278Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T12:58:36.278Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T12:58:36.278Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (8961.322 ms) ====== [2026-01-10T12:58:36.278Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-10T12:58:36.278Z] GC before operation: completed in 47.859 ms, heap usage 634.573 MB -> 93.467 MB. [2026-01-10T12:58:37.512Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T12:58:39.304Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T12:58:40.518Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T12:58:41.743Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T12:58:42.964Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T12:58:43.737Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T12:58:44.496Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T12:58:45.775Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T12:58:45.775Z] 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. [2026-01-10T12:58:45.775Z] The best model improves the baseline by 14.52%. [2026-01-10T12:58:45.775Z] Top recommended movies for user id 72: [2026-01-10T12:58:45.775Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T12:58:45.775Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T12:58:45.775Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T12:58:45.775Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T12:58:45.775Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T12:58:45.775Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (9496.294 ms) ====== [2026-01-10T12:58:45.775Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-10T12:58:45.775Z] GC before operation: completed in 78.186 ms, heap usage 166.589 MB -> 90.183 MB. [2026-01-10T12:58:47.556Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T12:58:48.772Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T12:58:50.008Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T12:58:51.230Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T12:58:52.001Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T12:58:52.779Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T12:58:53.536Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T12:58:54.297Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T12:58:54.297Z] 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. [2026-01-10T12:58:54.297Z] The best model improves the baseline by 14.52%. [2026-01-10T12:58:54.297Z] Top recommended movies for user id 72: [2026-01-10T12:58:54.297Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T12:58:54.297Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T12:58:54.297Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T12:58:54.297Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T12:58:54.297Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T12:58:54.297Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (8589.928 ms) ====== [2026-01-10T12:58:54.297Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-10T12:58:54.649Z] GC before operation: completed in 52.485 ms, heap usage 216.183 MB -> 89.876 MB. [2026-01-10T12:58:55.866Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T12:58:57.102Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T12:58:58.320Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T12:58:59.074Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T12:58:59.860Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T12:59:00.633Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T12:59:01.399Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T12:59:02.179Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T12:59:02.179Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T12:59:02.179Z] The best model improves the baseline by 14.52%. [2026-01-10T12:59:02.179Z] Top recommended movies for user id 72: [2026-01-10T12:59:02.179Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T12:59:02.179Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T12:59:02.179Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T12:59:02.179Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T12:59:02.179Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T12:59:02.179Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (7777.309 ms) ====== [2026-01-10T12:59:02.179Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-10T12:59:02.179Z] GC before operation: completed in 50.911 ms, heap usage 259.889 MB -> 90.210 MB. [2026-01-10T12:59:03.426Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T12:59:04.649Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T12:59:06.405Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T12:59:07.158Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T12:59:07.906Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T12:59:08.667Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T12:59:09.021Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T12:59:09.788Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T12:59:10.142Z] 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. [2026-01-10T12:59:10.142Z] The best model improves the baseline by 14.52%. [2026-01-10T12:59:10.142Z] Top recommended movies for user id 72: [2026-01-10T12:59:10.142Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T12:59:10.142Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T12:59:10.142Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T12:59:10.142Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T12:59:10.142Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T12:59:10.142Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (7785.333 ms) ====== [2026-01-10T12:59:10.142Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-10T12:59:10.142Z] GC before operation: completed in 42.215 ms, heap usage 221.590 MB -> 89.851 MB. [2026-01-10T12:59:11.352Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T12:59:12.563Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T12:59:13.324Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T12:59:14.540Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T12:59:14.921Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T12:59:15.700Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T12:59:16.454Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T12:59:17.203Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T12:59:17.203Z] 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. [2026-01-10T12:59:17.203Z] The best model improves the baseline by 14.52%. [2026-01-10T12:59:17.552Z] Top recommended movies for user id 72: [2026-01-10T12:59:17.552Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T12:59:17.552Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T12:59:17.552Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T12:59:17.552Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T12:59:17.552Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T12:59:17.552Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (7256.405 ms) ====== [2026-01-10T12:59:17.552Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-10T12:59:17.552Z] GC before operation: completed in 45.072 ms, heap usage 117.546 MB -> 89.823 MB. [2026-01-10T12:59:18.772Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T12:59:19.988Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T12:59:21.215Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T12:59:22.442Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T12:59:23.221Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T12:59:24.445Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T12:59:25.214Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T12:59:26.434Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T12:59:26.434Z] 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. [2026-01-10T12:59:26.434Z] The best model improves the baseline by 14.52%. [2026-01-10T12:59:26.434Z] Top recommended movies for user id 72: [2026-01-10T12:59:26.434Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T12:59:26.434Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T12:59:26.434Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T12:59:26.434Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T12:59:26.434Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T12:59:26.434Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (8930.889 ms) ====== [2026-01-10T12:59:26.434Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-10T12:59:26.434Z] GC before operation: completed in 52.889 ms, heap usage 199.097 MB -> 90.056 MB. [2026-01-10T12:59:27.656Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T12:59:28.874Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T12:59:30.112Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T12:59:31.324Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T12:59:31.676Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T12:59:32.428Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T12:59:33.182Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T12:59:33.945Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T12:59:33.945Z] 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. [2026-01-10T12:59:33.945Z] The best model improves the baseline by 14.52%. [2026-01-10T12:59:33.945Z] Top recommended movies for user id 72: [2026-01-10T12:59:33.945Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T12:59:33.945Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T12:59:33.945Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T12:59:33.945Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T12:59:33.945Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T12:59:33.945Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (7440.483 ms) ====== [2026-01-10T12:59:33.945Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-10T12:59:33.945Z] GC before operation: completed in 40.765 ms, heap usage 381.276 MB -> 90.198 MB. [2026-01-10T12:59:35.156Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T12:59:36.374Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T12:59:37.604Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T12:59:38.860Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T12:59:39.611Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T12:59:40.366Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T12:59:41.138Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T12:59:41.502Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T12:59:41.854Z] 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. [2026-01-10T12:59:41.854Z] The best model improves the baseline by 14.52%. [2026-01-10T12:59:41.854Z] Top recommended movies for user id 72: [2026-01-10T12:59:41.854Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T12:59:41.854Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T12:59:41.854Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T12:59:41.854Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T12:59:41.854Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T12:59:41.854Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (7872.993 ms) ====== [2026-01-10T12:59:41.854Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-10T12:59:41.854Z] GC before operation: completed in 45.097 ms, heap usage 373.026 MB -> 90.453 MB. [2026-01-10T12:59:43.626Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T12:59:45.392Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T12:59:47.188Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T12:59:48.434Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T12:59:49.668Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T12:59:50.437Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T12:59:51.674Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T12:59:52.925Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T12:59:52.925Z] 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. [2026-01-10T12:59:52.925Z] The best model improves the baseline by 14.52%. [2026-01-10T12:59:52.925Z] Top recommended movies for user id 72: [2026-01-10T12:59:52.925Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T12:59:52.925Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T12:59:52.925Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T12:59:52.925Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T12:59:52.925Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T12:59:52.925Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (11166.937 ms) ====== [2026-01-10T12:59:52.925Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-10T12:59:52.925Z] GC before operation: completed in 64.503 ms, heap usage 305.255 MB -> 90.202 MB. [2026-01-10T12:59:54.685Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T12:59:55.916Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T12:59:57.197Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T12:59:58.962Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T12:59:59.723Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T13:00:00.504Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T13:00:01.293Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T13:00:02.102Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T13:00:02.546Z] 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. [2026-01-10T13:00:02.546Z] The best model improves the baseline by 14.52%. [2026-01-10T13:00:02.546Z] Top recommended movies for user id 72: [2026-01-10T13:00:02.546Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T13:00:02.546Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T13:00:02.546Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T13:00:02.546Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T13:00:02.546Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T13:00:02.546Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (9270.581 ms) ====== [2026-01-10T13:00:02.546Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-10T13:00:02.546Z] GC before operation: completed in 46.464 ms, heap usage 282.083 MB -> 90.316 MB. [2026-01-10T13:00:03.865Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T13:00:05.080Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T13:00:06.288Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T13:00:07.045Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T13:00:07.800Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T13:00:08.560Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T13:00:08.912Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T13:00:09.666Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T13:00:09.666Z] 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. [2026-01-10T13:00:09.666Z] The best model improves the baseline by 14.52%. [2026-01-10T13:00:09.666Z] Top recommended movies for user id 72: [2026-01-10T13:00:09.666Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T13:00:09.666Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T13:00:09.666Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T13:00:09.666Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T13:00:09.666Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T13:00:09.666Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (7313.833 ms) ====== [2026-01-10T13:00:09.666Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-10T13:00:09.666Z] GC before operation: completed in 42.895 ms, heap usage 362.277 MB -> 90.224 MB. [2026-01-10T13:00:10.888Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T13:00:11.647Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T13:00:12.881Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T13:00:13.638Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T13:00:14.402Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T13:00:15.161Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T13:00:15.925Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T13:00:16.701Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T13:00:17.054Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T13:00:17.054Z] The best model improves the baseline by 14.52%. [2026-01-10T13:00:17.054Z] Top recommended movies for user id 72: [2026-01-10T13:00:17.054Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T13:00:17.054Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T13:00:17.054Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T13:00:17.054Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T13:00:17.054Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T13:00:17.054Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (7329.532 ms) ====== [2026-01-10T13:00:17.054Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-10T13:00:17.054Z] GC before operation: completed in 56.772 ms, heap usage 445.438 MB -> 90.382 MB. [2026-01-10T13:00:18.823Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T13:00:20.050Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T13:00:21.296Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T13:00:22.525Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T13:00:23.285Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T13:00:24.047Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T13:00:24.821Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T13:00:25.606Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T13:00:25.955Z] 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. [2026-01-10T13:00:25.955Z] The best model improves the baseline by 14.52%. [2026-01-10T13:00:25.955Z] Top recommended movies for user id 72: [2026-01-10T13:00:25.955Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T13:00:25.955Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T13:00:25.955Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T13:00:25.955Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T13:00:25.955Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T13:00:25.955Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (8747.525 ms) ====== [2026-01-10T13:00:25.955Z] ----------------------------------- [2026-01-10T13:00:25.955Z] renaissance-movie-lens_0_PASSED [2026-01-10T13:00:25.955Z] ----------------------------------- [2026-01-10T13:00:26.314Z] [2026-01-10T13:00:26.314Z] TEST TEARDOWN: [2026-01-10T13:00:26.314Z] Nothing to be done for teardown. [2026-01-10T13:00:26.314Z] renaissance-movie-lens_0 Finish Time: Sat Jan 10 08:00:25 2026 Epoch Time (ms): 1768050025748