[2026-02-26T14:16:08.424Z] Running test renaissance-movie-lens_0 ... [2026-02-26T14:16:08.424Z] =============================================== [2026-02-26T14:16:08.424Z] renaissance-movie-lens_0 Start Time: Thu Feb 26 09:16:08 2026 Epoch Time (ms): 1772115368034 [2026-02-26T14:16:08.424Z] variation: NoOptions [2026-02-26T14:16:08.424Z] JVM_OPTIONS: [2026-02-26T14:16:08.424Z] { \ [2026-02-26T14:16:08.424Z] echo ""; echo "TEST SETUP:"; \ [2026-02-26T14:16:08.424Z] echo "Nothing to be done for setup."; \ [2026-02-26T14:16:08.424Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17721150674528/renaissance-movie-lens_0"; \ [2026-02-26T14:16:08.424Z] cd "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17721150674528/renaissance-movie-lens_0"; \ [2026-02-26T14:16:08.424Z] echo ""; echo "TESTING:"; \ [2026-02-26T14:16:08.424Z] "/Users/admin/workspace/workspace/Test_openjdk21_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_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17721150674528/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-26T14:16:08.424Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17721150674528/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-26T14:16:08.424Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-26T14:16:08.424Z] echo "Nothing to be done for teardown."; \ [2026-02-26T14:16:08.424Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17721150674528/TestTargetResult"; [2026-02-26T14:16:08.424Z] [2026-02-26T14:16:08.424Z] TEST SETUP: [2026-02-26T14:16:08.424Z] Nothing to be done for setup. [2026-02-26T14:16:08.424Z] [2026-02-26T14:16:08.424Z] TESTING: [2026-02-26T14:16:10.769Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-26T14:16:13.214Z] 09:16:12.622 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. [2026-02-26T14:16:13.623Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-26T14:16:13.623Z] Training: 60056, validation: 20285, test: 19854 [2026-02-26T14:16:13.624Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-26T14:16:13.624Z] GC before operation: completed in 44.766 ms, heap usage 310.703 MB -> 76.030 MB. [2026-02-26T14:16:16.056Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T14:16:17.262Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T14:16:18.489Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T14:16:19.701Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T14:16:20.441Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T14:16:21.202Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T14:16:21.943Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T14:16:22.306Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T14:16:22.686Z] 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. [2026-02-26T14:16:22.686Z] The best model improves the baseline by 14.52%. [2026-02-26T14:16:22.686Z] Top recommended movies for user id 72: [2026-02-26T14:16:22.686Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T14:16:22.686Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T14:16:22.686Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T14:16:22.686Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T14:16:22.686Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T14:16:22.686Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (8915.884 ms) ====== [2026-02-26T14:16:22.686Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-26T14:16:22.686Z] GC before operation: completed in 56.674 ms, heap usage 116.673 MB -> 91.752 MB. [2026-02-26T14:16:23.897Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T14:16:25.112Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T14:16:25.901Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T14:16:27.114Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T14:16:27.877Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T14:16:28.230Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T14:16:28.974Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T14:16:29.754Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T14:16:29.754Z] 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. [2026-02-26T14:16:29.754Z] The best model improves the baseline by 14.52%. [2026-02-26T14:16:30.108Z] Top recommended movies for user id 72: [2026-02-26T14:16:30.108Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T14:16:30.108Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T14:16:30.108Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T14:16:30.108Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T14:16:30.108Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T14:16:30.108Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (7221.140 ms) ====== [2026-02-26T14:16:30.108Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-26T14:16:30.108Z] GC before operation: completed in 67.789 ms, heap usage 499.465 MB -> 89.173 MB. [2026-02-26T14:16:31.323Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T14:16:32.538Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T14:16:33.751Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T14:16:34.984Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T14:16:35.737Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T14:16:36.484Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T14:16:37.693Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T14:16:38.450Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T14:16:38.450Z] 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. [2026-02-26T14:16:38.450Z] The best model improves the baseline by 14.52%. [2026-02-26T14:16:38.450Z] Top recommended movies for user id 72: [2026-02-26T14:16:38.450Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T14:16:38.450Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T14:16:38.450Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T14:16:38.450Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T14:16:38.450Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T14:16:38.450Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (8462.696 ms) ====== [2026-02-26T14:16:38.450Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-26T14:16:38.450Z] GC before operation: completed in 40.564 ms, heap usage 464.707 MB -> 90.019 MB. [2026-02-26T14:16:39.677Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T14:16:40.880Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T14:16:42.102Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T14:16:43.827Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T14:16:44.346Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T14:16:44.713Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T14:16:45.485Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T14:16:46.248Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T14:16:46.248Z] 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. [2026-02-26T14:16:46.248Z] The best model improves the baseline by 14.52%. [2026-02-26T14:16:46.248Z] Top recommended movies for user id 72: [2026-02-26T14:16:46.248Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T14:16:46.248Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T14:16:46.248Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T14:16:46.248Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T14:16:46.248Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T14:16:46.248Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (7806.809 ms) ====== [2026-02-26T14:16:46.248Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-26T14:16:46.248Z] GC before operation: completed in 38.113 ms, heap usage 430.250 MB -> 90.202 MB. [2026-02-26T14:16:47.470Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T14:16:48.687Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T14:16:49.905Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T14:16:50.689Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T14:16:51.460Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T14:16:51.812Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T14:16:52.557Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T14:16:53.312Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T14:16:53.312Z] 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. [2026-02-26T14:16:53.312Z] The best model improves the baseline by 14.52%. [2026-02-26T14:16:53.312Z] Top recommended movies for user id 72: [2026-02-26T14:16:53.312Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T14:16:53.312Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T14:16:53.312Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T14:16:53.312Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T14:16:53.312Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T14:16:53.312Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (7095.482 ms) ====== [2026-02-26T14:16:53.312Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-26T14:16:53.312Z] GC before operation: completed in 37.336 ms, heap usage 417.819 MB -> 90.131 MB. [2026-02-26T14:16:54.523Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T14:16:55.736Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T14:16:56.936Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T14:16:57.697Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T14:16:58.443Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T14:16:58.792Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T14:16:59.541Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T14:17:00.292Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T14:17:00.292Z] 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. [2026-02-26T14:17:00.292Z] The best model improves the baseline by 14.52%. [2026-02-26T14:17:00.292Z] Top recommended movies for user id 72: [2026-02-26T14:17:00.292Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T14:17:00.292Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T14:17:00.292Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T14:17:00.292Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T14:17:00.292Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T14:17:00.292Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (6847.121 ms) ====== [2026-02-26T14:17:00.292Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-26T14:17:00.292Z] GC before operation: completed in 38.643 ms, heap usage 204.963 MB -> 90.117 MB. [2026-02-26T14:17:01.680Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T14:17:02.499Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T14:17:03.775Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T14:17:04.567Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T14:17:05.352Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T14:17:06.096Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T14:17:06.873Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T14:17:07.226Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T14:17:07.578Z] 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. [2026-02-26T14:17:07.578Z] The best model improves the baseline by 14.52%. [2026-02-26T14:17:07.578Z] Top recommended movies for user id 72: [2026-02-26T14:17:07.578Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T14:17:07.578Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T14:17:07.578Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T14:17:07.578Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T14:17:07.578Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T14:17:07.578Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (7176.575 ms) ====== [2026-02-26T14:17:07.578Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-26T14:17:07.578Z] GC before operation: completed in 39.555 ms, heap usage 506.339 MB -> 90.675 MB. [2026-02-26T14:17:08.801Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T14:17:10.008Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T14:17:10.773Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T14:17:12.043Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T14:17:12.796Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T14:17:13.543Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T14:17:14.292Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T14:17:15.059Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T14:17:15.059Z] 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. [2026-02-26T14:17:15.059Z] The best model improves the baseline by 14.52%. [2026-02-26T14:17:15.059Z] Top recommended movies for user id 72: [2026-02-26T14:17:15.059Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T14:17:15.059Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T14:17:15.059Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T14:17:15.059Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T14:17:15.059Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T14:17:15.059Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (7423.789 ms) ====== [2026-02-26T14:17:15.059Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-26T14:17:15.059Z] GC before operation: completed in 41.067 ms, heap usage 386.729 MB -> 90.645 MB. [2026-02-26T14:17:16.268Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T14:17:17.023Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T14:17:18.234Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T14:17:19.484Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T14:17:19.832Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T14:17:20.573Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T14:17:21.324Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T14:17:22.095Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T14:17:22.095Z] 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. [2026-02-26T14:17:22.095Z] The best model improves the baseline by 14.52%. [2026-02-26T14:17:22.095Z] Top recommended movies for user id 72: [2026-02-26T14:17:22.095Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T14:17:22.096Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T14:17:22.096Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T14:17:22.096Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T14:17:22.096Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T14:17:22.096Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (7010.457 ms) ====== [2026-02-26T14:17:22.096Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-26T14:17:22.096Z] GC before operation: completed in 39.618 ms, heap usage 388.514 MB -> 90.367 MB. [2026-02-26T14:17:23.306Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T14:17:24.508Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T14:17:25.740Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T14:17:26.490Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T14:17:27.241Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T14:17:27.988Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T14:17:28.347Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T14:17:29.098Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T14:17:29.098Z] 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. [2026-02-26T14:17:29.098Z] The best model improves the baseline by 14.52%. [2026-02-26T14:17:29.442Z] Top recommended movies for user id 72: [2026-02-26T14:17:29.442Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T14:17:29.442Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T14:17:29.442Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T14:17:29.442Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T14:17:29.442Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T14:17:29.442Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (7208.642 ms) ====== [2026-02-26T14:17:29.442Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-26T14:17:29.442Z] GC before operation: completed in 36.869 ms, heap usage 412.711 MB -> 90.796 MB. [2026-02-26T14:17:30.642Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T14:17:31.855Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T14:17:32.607Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T14:17:33.353Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T14:17:34.104Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T14:17:34.486Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T14:17:35.236Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T14:17:35.597Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T14:17:35.958Z] 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. [2026-02-26T14:17:35.958Z] The best model improves the baseline by 14.52%. [2026-02-26T14:17:35.958Z] Top recommended movies for user id 72: [2026-02-26T14:17:35.958Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T14:17:35.958Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T14:17:35.958Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T14:17:35.958Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T14:17:35.958Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T14:17:35.958Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (6563.201 ms) ====== [2026-02-26T14:17:35.958Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-26T14:17:35.958Z] GC before operation: completed in 38.562 ms, heap usage 228.002 MB -> 90.229 MB. [2026-02-26T14:17:36.753Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T14:17:37.983Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T14:17:39.204Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T14:17:39.949Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T14:17:40.695Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T14:17:41.443Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T14:17:41.788Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T14:17:42.535Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T14:17:42.535Z] 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. [2026-02-26T14:17:42.535Z] The best model improves the baseline by 14.52%. [2026-02-26T14:17:42.535Z] Top recommended movies for user id 72: [2026-02-26T14:17:42.535Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T14:17:42.535Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T14:17:42.535Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T14:17:42.535Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T14:17:42.535Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T14:17:42.535Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (6751.791 ms) ====== [2026-02-26T14:17:42.535Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-26T14:17:42.880Z] GC before operation: completed in 41.842 ms, heap usage 443.338 MB -> 90.604 MB. [2026-02-26T14:17:43.626Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T14:17:44.836Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T14:17:45.588Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T14:17:46.816Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T14:17:47.167Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T14:17:47.946Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T14:17:48.304Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T14:17:49.084Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T14:17:49.084Z] 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. [2026-02-26T14:17:49.084Z] The best model improves the baseline by 14.52%. [2026-02-26T14:17:49.084Z] Top recommended movies for user id 72: [2026-02-26T14:17:49.084Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T14:17:49.084Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T14:17:49.084Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T14:17:49.084Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T14:17:49.084Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T14:17:49.084Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (6311.050 ms) ====== [2026-02-26T14:17:49.084Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-26T14:17:49.084Z] GC before operation: completed in 38.393 ms, heap usage 276.791 MB -> 90.672 MB. [2026-02-26T14:17:50.312Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T14:17:51.064Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T14:17:52.280Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T14:17:53.032Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T14:17:53.451Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T14:17:54.203Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T14:17:54.563Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T14:17:55.328Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T14:17:55.328Z] 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. [2026-02-26T14:17:55.328Z] The best model improves the baseline by 14.52%. [2026-02-26T14:17:55.328Z] Top recommended movies for user id 72: [2026-02-26T14:17:55.328Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T14:17:55.328Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T14:17:55.328Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T14:17:55.328Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T14:17:55.328Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T14:17:55.328Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (6314.679 ms) ====== [2026-02-26T14:17:55.328Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-26T14:17:55.328Z] GC before operation: completed in 39.842 ms, heap usage 229.451 MB -> 90.388 MB. [2026-02-26T14:17:56.540Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T14:17:57.289Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T14:17:58.517Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T14:17:59.272Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T14:17:59.624Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T14:18:00.377Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T14:18:00.726Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T14:18:01.497Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T14:18:01.497Z] 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. [2026-02-26T14:18:01.497Z] The best model improves the baseline by 14.52%. [2026-02-26T14:18:01.497Z] Top recommended movies for user id 72: [2026-02-26T14:18:01.497Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T14:18:01.497Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T14:18:01.497Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T14:18:01.497Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T14:18:01.497Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T14:18:01.497Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (6079.312 ms) ====== [2026-02-26T14:18:01.497Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-26T14:18:01.497Z] GC before operation: completed in 36.861 ms, heap usage 275.167 MB -> 90.656 MB. [2026-02-26T14:18:02.717Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T14:18:03.465Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T14:18:04.205Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T14:18:05.419Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T14:18:05.764Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T14:18:06.162Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T14:18:06.965Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T14:18:07.741Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T14:18:07.741Z] 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. [2026-02-26T14:18:07.741Z] The best model improves the baseline by 14.52%. [2026-02-26T14:18:07.741Z] Top recommended movies for user id 72: [2026-02-26T14:18:07.741Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T14:18:07.741Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T14:18:07.741Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T14:18:07.741Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T14:18:07.741Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T14:18:07.741Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (6141.537 ms) ====== [2026-02-26T14:18:07.741Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-26T14:18:07.741Z] GC before operation: completed in 38.013 ms, heap usage 492.166 MB -> 90.909 MB. [2026-02-26T14:18:08.966Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T14:18:09.727Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T14:18:10.945Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T14:18:11.697Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T14:18:12.474Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T14:18:13.253Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T14:18:14.030Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T14:18:14.397Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T14:18:14.397Z] 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. [2026-02-26T14:18:14.397Z] The best model improves the baseline by 14.52%. [2026-02-26T14:18:14.397Z] Top recommended movies for user id 72: [2026-02-26T14:18:14.397Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T14:18:14.397Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T14:18:14.397Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T14:18:14.397Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T14:18:14.397Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T14:18:14.397Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (6792.031 ms) ====== [2026-02-26T14:18:14.397Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-26T14:18:14.749Z] GC before operation: completed in 39.385 ms, heap usage 577.248 MB -> 94.264 MB. [2026-02-26T14:18:15.512Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T14:18:16.735Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T14:18:17.486Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T14:18:18.697Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T14:18:19.053Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T14:18:19.826Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T14:18:20.173Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T14:18:20.932Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T14:18:20.932Z] 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. [2026-02-26T14:18:20.932Z] The best model improves the baseline by 14.52%. [2026-02-26T14:18:20.932Z] Top recommended movies for user id 72: [2026-02-26T14:18:20.932Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T14:18:20.932Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T14:18:20.932Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T14:18:20.932Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T14:18:20.932Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T14:18:20.932Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (6297.220 ms) ====== [2026-02-26T14:18:20.932Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-26T14:18:20.932Z] GC before operation: completed in 37.379 ms, heap usage 366.043 MB -> 90.512 MB. [2026-02-26T14:18:22.153Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T14:18:22.901Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T14:18:24.170Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T14:18:24.920Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T14:18:25.669Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T14:18:26.023Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T14:18:26.777Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T14:18:27.531Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T14:18:27.531Z] 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. [2026-02-26T14:18:27.531Z] The best model improves the baseline by 14.52%. [2026-02-26T14:18:27.531Z] Top recommended movies for user id 72: [2026-02-26T14:18:27.531Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T14:18:27.531Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T14:18:27.531Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T14:18:27.531Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T14:18:27.531Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T14:18:27.531Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (6565.065 ms) ====== [2026-02-26T14:18:27.531Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-26T14:18:27.531Z] GC before operation: completed in 37.120 ms, heap usage 101.010 MB -> 90.549 MB. [2026-02-26T14:18:28.282Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-26T14:18:29.522Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-26T14:18:30.270Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-26T14:18:31.486Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-26T14:18:31.836Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-26T14:18:32.582Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-26T14:18:33.357Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-26T14:18:34.107Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-26T14:18:34.107Z] 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. [2026-02-26T14:18:34.107Z] The best model improves the baseline by 14.52%. [2026-02-26T14:18:34.107Z] Top recommended movies for user id 72: [2026-02-26T14:18:34.107Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-26T14:18:34.107Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-26T14:18:34.107Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-26T14:18:34.107Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-26T14:18:34.107Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-26T14:18:34.107Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (6537.663 ms) ====== [2026-02-26T14:18:34.452Z] ----------------------------------- [2026-02-26T14:18:34.452Z] renaissance-movie-lens_0_PASSED [2026-02-26T14:18:34.452Z] ----------------------------------- [2026-02-26T14:18:34.452Z] [2026-02-26T14:18:34.453Z] TEST TEARDOWN: [2026-02-26T14:18:34.453Z] Nothing to be done for teardown. [2026-02-26T14:18:34.453Z] renaissance-movie-lens_0 Finish Time: Thu Feb 26 09:18:34 2026 Epoch Time (ms): 1772115514126