[2026-02-06T01:57:10.587Z] Running test renaissance-movie-lens_0 ... [2026-02-06T01:57:10.587Z] =============================================== [2026-02-06T01:57:10.587Z] renaissance-movie-lens_0 Start Time: Thu Feb 5 20:57:10 2026 Epoch Time (ms): 1770343030244 [2026-02-06T01:57:10.587Z] variation: NoOptions [2026-02-06T01:57:10.587Z] JVM_OPTIONS: [2026-02-06T01:57:10.587Z] { \ [2026-02-06T01:57:10.587Z] echo ""; echo "TEST SETUP:"; \ [2026-02-06T01:57:10.587Z] echo "Nothing to be done for setup."; \ [2026-02-06T01:57:10.587Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17703426809881/renaissance-movie-lens_0"; \ [2026-02-06T01:57:10.587Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17703426809881/renaissance-movie-lens_0"; \ [2026-02-06T01:57:10.587Z] echo ""; echo "TESTING:"; \ [2026-02-06T01:57:10.587Z] "/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_17703426809881/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-06T01:57:10.587Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17703426809881/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-06T01:57:10.587Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-06T01:57:10.587Z] echo "Nothing to be done for teardown."; \ [2026-02-06T01:57:10.587Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17703426809881/TestTargetResult"; [2026-02-06T01:57:10.587Z] [2026-02-06T01:57:10.587Z] TEST SETUP: [2026-02-06T01:57:10.587Z] Nothing to be done for setup. [2026-02-06T01:57:10.587Z] [2026-02-06T01:57:10.587Z] TESTING: [2026-02-06T01:57:10.587Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-06T01:57:10.587Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/output_17703426809881/renaissance-movie-lens_0/launcher-205710-11104106292643179766/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-06T01:57:10.587Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-06T01:57:10.587Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-06T01:57:13.748Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-06T01:57:16.915Z] 20:57:16.334 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-06T01:57:17.283Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-06T01:57:17.639Z] Training: 60056, validation: 20285, test: 19854 [2026-02-06T01:57:17.639Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-06T01:57:17.639Z] GC before operation: completed in 63.489 ms, heap usage 190.415 MB -> 75.935 MB. [2026-02-06T01:57:20.868Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T01:57:22.166Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T01:57:24.046Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T01:57:25.322Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T01:57:26.131Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T01:57:27.445Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T01:57:28.259Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T01:57:29.127Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T01:57:29.127Z] 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. [2026-02-06T01:57:29.127Z] The best model improves the baseline by 14.52%. [2026-02-06T01:57:29.127Z] Top recommended movies for user id 72: [2026-02-06T01:57:29.127Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T01:57:29.127Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T01:57:29.127Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T01:57:29.127Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T01:57:29.127Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T01:57:29.127Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (11665.965 ms) ====== [2026-02-06T01:57:29.127Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-06T01:57:29.487Z] GC before operation: completed in 59.231 ms, heap usage 127.331 MB -> 88.573 MB. [2026-02-06T01:57:30.856Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T01:57:32.679Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T01:57:34.061Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T01:57:35.334Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T01:57:36.112Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T01:57:37.378Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T01:57:37.803Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T01:57:38.610Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T01:57:38.991Z] 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. [2026-02-06T01:57:38.991Z] The best model improves the baseline by 14.52%. [2026-02-06T01:57:38.991Z] Top recommended movies for user id 72: [2026-02-06T01:57:38.991Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T01:57:38.991Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T01:57:38.991Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T01:57:38.991Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T01:57:38.991Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T01:57:38.991Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (9651.835 ms) ====== [2026-02-06T01:57:38.991Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-06T01:57:38.991Z] GC before operation: completed in 66.034 ms, heap usage 351.800 MB -> 88.734 MB. [2026-02-06T01:57:40.268Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T01:57:42.176Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T01:57:43.602Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T01:57:44.706Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T01:57:45.515Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T01:57:46.777Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T01:57:47.571Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T01:57:48.374Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T01:57:48.374Z] 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. [2026-02-06T01:57:48.374Z] The best model improves the baseline by 14.52%. [2026-02-06T01:57:48.374Z] Top recommended movies for user id 72: [2026-02-06T01:57:48.374Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T01:57:48.374Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T01:57:48.374Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T01:57:48.374Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T01:57:48.374Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T01:57:48.374Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (9334.689 ms) ====== [2026-02-06T01:57:48.374Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-06T01:57:48.374Z] GC before operation: completed in 50.765 ms, heap usage 214.874 MB -> 89.204 MB. [2026-02-06T01:57:50.190Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T01:57:51.476Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T01:57:52.350Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T01:57:53.620Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T01:57:54.384Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T01:57:55.158Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T01:57:56.185Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T01:57:56.980Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T01:57:56.980Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-06T01:57:56.980Z] The best model improves the baseline by 14.52%. [2026-02-06T01:57:56.980Z] Top recommended movies for user id 72: [2026-02-06T01:57:56.980Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T01:57:56.980Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T01:57:56.980Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T01:57:56.980Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T01:57:56.980Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T01:57:56.980Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (8518.076 ms) ====== [2026-02-06T01:57:56.980Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-06T01:57:56.980Z] GC before operation: completed in 56.968 ms, heap usage 350.270 MB -> 89.722 MB. [2026-02-06T01:57:58.332Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T01:57:59.594Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T01:58:00.891Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T01:58:02.791Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T01:58:03.607Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T01:58:04.386Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T01:58:05.162Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T01:58:05.950Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T01:58:05.950Z] 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. [2026-02-06T01:58:05.950Z] The best model improves the baseline by 14.52%. [2026-02-06T01:58:05.950Z] Top recommended movies for user id 72: [2026-02-06T01:58:05.950Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T01:58:05.950Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T01:58:05.950Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T01:58:05.950Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T01:58:05.950Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T01:58:05.950Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (9045.622 ms) ====== [2026-02-06T01:58:05.950Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-06T01:58:06.306Z] GC before operation: completed in 65.903 ms, heap usage 275.146 MB -> 89.850 MB. [2026-02-06T01:58:07.598Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T01:58:08.847Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T01:58:10.239Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T01:58:11.520Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T01:58:12.310Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T01:58:13.110Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T01:58:13.487Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T01:58:14.756Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T01:58:14.756Z] 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. [2026-02-06T01:58:14.756Z] The best model improves the baseline by 14.52%. [2026-02-06T01:58:14.756Z] Top recommended movies for user id 72: [2026-02-06T01:58:14.756Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T01:58:14.756Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T01:58:14.756Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T01:58:14.756Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T01:58:14.756Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T01:58:14.756Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (8573.694 ms) ====== [2026-02-06T01:58:14.756Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-06T01:58:14.756Z] GC before operation: completed in 47.679 ms, heap usage 195.417 MB -> 89.754 MB. [2026-02-06T01:58:16.027Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T01:58:17.340Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T01:58:18.635Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T01:58:20.491Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T01:58:20.858Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T01:58:21.663Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T01:58:22.503Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T01:58:23.299Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T01:58:23.299Z] 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. [2026-02-06T01:58:23.299Z] The best model improves the baseline by 14.52%. [2026-02-06T01:58:23.657Z] Top recommended movies for user id 72: [2026-02-06T01:58:23.657Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T01:58:23.657Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T01:58:23.657Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T01:58:23.657Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T01:58:23.657Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T01:58:23.657Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (8723.585 ms) ====== [2026-02-06T01:58:23.657Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-06T01:58:23.657Z] GC before operation: completed in 51.660 ms, heap usage 292.650 MB -> 90.025 MB. [2026-02-06T01:58:24.907Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T01:58:26.166Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T01:58:27.429Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T01:58:28.666Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T01:58:29.446Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T01:58:30.219Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T01:58:31.003Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T01:58:31.807Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T01:58:32.173Z] 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. [2026-02-06T01:58:32.173Z] The best model improves the baseline by 14.52%. [2026-02-06T01:58:32.173Z] Top recommended movies for user id 72: [2026-02-06T01:58:32.173Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T01:58:32.173Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T01:58:32.173Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T01:58:32.173Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T01:58:32.173Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T01:58:32.173Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (8512.174 ms) ====== [2026-02-06T01:58:32.173Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-06T01:58:32.173Z] GC before operation: completed in 46.278 ms, heap usage 350.424 MB -> 90.377 MB. [2026-02-06T01:58:33.414Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T01:58:34.657Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T01:58:35.920Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T01:58:37.366Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T01:58:37.736Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T01:58:38.528Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T01:58:39.790Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T01:58:40.163Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T01:58:40.538Z] 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. [2026-02-06T01:58:40.538Z] The best model improves the baseline by 14.52%. [2026-02-06T01:58:40.538Z] Top recommended movies for user id 72: [2026-02-06T01:58:40.538Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T01:58:40.538Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T01:58:40.538Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T01:58:40.538Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T01:58:40.538Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T01:58:40.538Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (8417.578 ms) ====== [2026-02-06T01:58:40.538Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-06T01:58:40.538Z] GC before operation: completed in 57.088 ms, heap usage 466.036 MB -> 90.378 MB. [2026-02-06T01:58:41.788Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T01:58:43.045Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T01:58:44.315Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T01:58:45.560Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T01:58:46.338Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T01:58:47.120Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T01:58:47.903Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T01:58:48.683Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T01:58:48.683Z] 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. [2026-02-06T01:58:48.683Z] The best model improves the baseline by 14.52%. [2026-02-06T01:58:48.683Z] Top recommended movies for user id 72: [2026-02-06T01:58:48.683Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T01:58:48.683Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T01:58:48.683Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T01:58:48.683Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T01:58:48.683Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T01:58:48.683Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (8122.115 ms) ====== [2026-02-06T01:58:48.683Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-06T01:58:48.683Z] GC before operation: completed in 54.801 ms, heap usage 275.166 MB -> 90.345 MB. [2026-02-06T01:58:49.929Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T01:58:51.263Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T01:58:52.540Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T01:58:53.329Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T01:58:54.106Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T01:58:54.934Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T01:58:55.718Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T01:58:56.508Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T01:58:56.508Z] 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. [2026-02-06T01:58:56.508Z] The best model improves the baseline by 14.52%. [2026-02-06T01:58:56.874Z] Top recommended movies for user id 72: [2026-02-06T01:58:56.874Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T01:58:56.874Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T01:58:56.874Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T01:58:56.874Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T01:58:56.874Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T01:58:56.874Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (7975.164 ms) ====== [2026-02-06T01:58:56.874Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-06T01:58:56.874Z] GC before operation: completed in 63.001 ms, heap usage 328.601 MB -> 89.997 MB. [2026-02-06T01:58:58.137Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T01:58:59.422Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T01:59:00.700Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T01:59:02.011Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T01:59:02.372Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T01:59:03.640Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T01:59:04.009Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T01:59:04.796Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T01:59:05.165Z] 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. [2026-02-06T01:59:05.165Z] The best model improves the baseline by 14.52%. [2026-02-06T01:59:05.165Z] Top recommended movies for user id 72: [2026-02-06T01:59:05.165Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T01:59:05.165Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T01:59:05.165Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T01:59:05.165Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T01:59:05.165Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T01:59:05.165Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (8328.703 ms) ====== [2026-02-06T01:59:05.165Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-06T01:59:05.165Z] GC before operation: completed in 67.587 ms, heap usage 304.378 MB -> 90.228 MB. [2026-02-06T01:59:06.991Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T01:59:07.787Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T01:59:09.089Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T01:59:10.348Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T01:59:11.133Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T01:59:11.503Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T01:59:12.294Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T01:59:13.078Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T01:59:13.078Z] 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. [2026-02-06T01:59:13.078Z] The best model improves the baseline by 14.52%. [2026-02-06T01:59:13.433Z] Top recommended movies for user id 72: [2026-02-06T01:59:13.433Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T01:59:13.433Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T01:59:13.433Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T01:59:13.433Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T01:59:13.433Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T01:59:13.433Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (8119.547 ms) ====== [2026-02-06T01:59:13.433Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-06T01:59:13.433Z] GC before operation: completed in 47.031 ms, heap usage 164.072 MB -> 90.777 MB. [2026-02-06T01:59:14.699Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T01:59:15.984Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T01:59:16.851Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T01:59:18.166Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T01:59:18.569Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T01:59:19.375Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T01:59:20.163Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T01:59:20.987Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T01:59:20.987Z] 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. [2026-02-06T01:59:20.987Z] The best model improves the baseline by 14.52%. [2026-02-06T01:59:20.987Z] Top recommended movies for user id 72: [2026-02-06T01:59:20.987Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T01:59:20.987Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T01:59:20.987Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T01:59:20.987Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T01:59:20.987Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T01:59:20.987Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (7608.333 ms) ====== [2026-02-06T01:59:20.987Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-06T01:59:20.987Z] GC before operation: completed in 52.495 ms, heap usage 275.602 MB -> 90.179 MB. [2026-02-06T01:59:22.249Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T01:59:23.569Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T01:59:24.855Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T01:59:26.148Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T01:59:26.528Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T01:59:27.333Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T01:59:28.303Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T01:59:28.674Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T01:59:28.675Z] 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. [2026-02-06T01:59:28.675Z] The best model improves the baseline by 14.52%. [2026-02-06T01:59:29.064Z] Top recommended movies for user id 72: [2026-02-06T01:59:29.064Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T01:59:29.064Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T01:59:29.064Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T01:59:29.064Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T01:59:29.064Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T01:59:29.064Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (7869.084 ms) ====== [2026-02-06T01:59:29.064Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-06T01:59:29.064Z] GC before operation: completed in 48.747 ms, heap usage 435.184 MB -> 90.587 MB. [2026-02-06T01:59:30.390Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T01:59:31.684Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T01:59:32.992Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T01:59:34.348Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T01:59:35.131Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T01:59:35.934Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T01:59:36.727Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T01:59:37.096Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T01:59:37.481Z] 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. [2026-02-06T01:59:37.481Z] The best model improves the baseline by 14.52%. [2026-02-06T01:59:37.481Z] Top recommended movies for user id 72: [2026-02-06T01:59:37.481Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T01:59:37.481Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T01:59:37.481Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T01:59:37.481Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T01:59:37.481Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T01:59:37.481Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (8509.987 ms) ====== [2026-02-06T01:59:37.481Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-06T01:59:37.481Z] GC before operation: completed in 51.174 ms, heap usage 430.838 MB -> 90.415 MB. [2026-02-06T01:59:38.748Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T01:59:40.005Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T01:59:41.277Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T01:59:42.567Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T01:59:42.926Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T01:59:43.730Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T01:59:44.510Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T01:59:45.367Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T01:59:45.367Z] 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. [2026-02-06T01:59:45.367Z] The best model improves the baseline by 14.52%. [2026-02-06T01:59:45.367Z] Top recommended movies for user id 72: [2026-02-06T01:59:45.367Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T01:59:45.367Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T01:59:45.367Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T01:59:45.367Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T01:59:45.367Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T01:59:45.367Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (7839.456 ms) ====== [2026-02-06T01:59:45.367Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-06T01:59:45.367Z] GC before operation: completed in 46.417 ms, heap usage 282.064 MB -> 90.386 MB. [2026-02-06T01:59:46.733Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T01:59:48.086Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T01:59:49.386Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T01:59:50.204Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T01:59:51.058Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T01:59:51.872Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T01:59:52.664Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T01:59:53.030Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T01:59:53.400Z] 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. [2026-02-06T01:59:53.400Z] The best model improves the baseline by 14.52%. [2026-02-06T01:59:53.400Z] Top recommended movies for user id 72: [2026-02-06T01:59:53.400Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T01:59:53.400Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T01:59:53.400Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T01:59:53.400Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T01:59:53.400Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T01:59:53.400Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (8014.493 ms) ====== [2026-02-06T01:59:53.400Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-06T01:59:53.400Z] GC before operation: completed in 54.610 ms, heap usage 298.504 MB -> 90.289 MB. [2026-02-06T01:59:54.659Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T01:59:55.910Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T01:59:57.160Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T01:59:58.938Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T01:59:59.703Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:00:00.466Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:00:01.251Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:00:02.220Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:00:02.220Z] 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. [2026-02-06T02:00:02.220Z] The best model improves the baseline by 14.52%. [2026-02-06T02:00:02.220Z] Top recommended movies for user id 72: [2026-02-06T02:00:02.220Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T02:00:02.220Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T02:00:02.220Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T02:00:02.220Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T02:00:02.220Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T02:00:02.220Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (8772.799 ms) ====== [2026-02-06T02:00:02.220Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-06T02:00:02.220Z] GC before operation: completed in 58.898 ms, heap usage 254.340 MB -> 90.285 MB. [2026-02-06T02:00:03.544Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:00:05.321Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:00:06.107Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:00:07.369Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:00:08.145Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:00:08.910Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:00:09.685Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:00:10.486Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:00:10.856Z] 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. [2026-02-06T02:00:10.856Z] The best model improves the baseline by 14.52%. [2026-02-06T02:00:10.856Z] Top recommended movies for user id 72: [2026-02-06T02:00:10.856Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T02:00:10.856Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T02:00:10.856Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T02:00:10.856Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T02:00:10.856Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T02:00:10.856Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (8510.804 ms) ====== [2026-02-06T02:00:10.856Z] ----------------------------------- [2026-02-06T02:00:10.856Z] renaissance-movie-lens_0_PASSED [2026-02-06T02:00:10.856Z] ----------------------------------- [2026-02-06T02:00:10.856Z] [2026-02-06T02:00:10.856Z] TEST TEARDOWN: [2026-02-06T02:00:10.856Z] Nothing to be done for teardown. [2026-02-06T02:00:11.215Z] renaissance-movie-lens_0 Finish Time: Thu Feb 5 21:00:10 2026 Epoch Time (ms): 1770343210836