[2026-01-19T15:53:08.792Z] Running test renaissance-movie-lens_0 ... [2026-01-19T15:53:08.792Z] =============================================== [2026-01-19T15:53:09.259Z] renaissance-movie-lens_0 Start Time: Mon Jan 19 10:53:08 2026 Epoch Time (ms): 1768837988550 [2026-01-19T15:53:09.259Z] variation: NoOptions [2026-01-19T15:53:09.259Z] JVM_OPTIONS: [2026-01-19T15:53:09.259Z] { \ [2026-01-19T15:53:09.259Z] echo ""; echo "TEST SETUP:"; \ [2026-01-19T15:53:09.259Z] echo "Nothing to be done for setup."; \ [2026-01-19T15:53:09.259Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17688360958715/renaissance-movie-lens_0"; \ [2026-01-19T15:53:09.259Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17688360958715/renaissance-movie-lens_0"; \ [2026-01-19T15:53:09.259Z] echo ""; echo "TESTING:"; \ [2026-01-19T15:53:09.259Z] "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_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_x86-64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17688360958715/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-19T15:53:09.259Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17688360958715/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-19T15:53:09.259Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-19T15:53:09.259Z] echo "Nothing to be done for teardown."; \ [2026-01-19T15:53:09.259Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17688360958715/TestTargetResult"; [2026-01-19T15:53:09.259Z] [2026-01-19T15:53:09.259Z] TEST SETUP: [2026-01-19T15:53:09.259Z] Nothing to be done for setup. [2026-01-19T15:53:09.259Z] [2026-01-19T15:53:09.259Z] TESTING: [2026-01-19T15:53:10.819Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-19T15:53:10.819Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/output_17688360958715/renaissance-movie-lens_0/launcher-105309-15503509441502567551/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-19T15:53:10.819Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-19T15:53:10.819Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-19T15:53:25.730Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-19T15:53:40.809Z] 10:53:39.114 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-19T15:53:44.631Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-19T15:53:46.325Z] Training: 60056, validation: 20285, test: 19854 [2026-01-19T15:53:46.325Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-19T15:53:46.325Z] GC before operation: completed in 162.906 ms, heap usage 501.000 MB -> 75.027 MB. [2026-01-19T15:54:04.385Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T15:54:19.138Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T15:54:31.448Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T15:54:41.673Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T15:54:48.884Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T15:54:56.143Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T15:55:01.436Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T15:55:07.602Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T15:55:08.804Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-19T15:55:08.804Z] The best model improves the baseline by 14.52%. [2026-01-19T15:55:08.804Z] Top recommended movies for user id 72: [2026-01-19T15:55:08.804Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T15:55:08.804Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T15:55:08.804Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T15:55:08.804Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T15:55:08.804Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T15:55:08.804Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (82562.824 ms) ====== [2026-01-19T15:55:08.804Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-19T15:55:09.372Z] GC before operation: completed in 184.989 ms, heap usage 541.821 MB -> 91.611 MB. [2026-01-19T15:55:21.658Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T15:55:30.676Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T15:55:41.143Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T15:55:51.426Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T15:55:56.024Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T15:56:02.175Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T15:56:08.011Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T15:56:15.219Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T15:56:15.754Z] 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. [2026-01-19T15:56:15.754Z] The best model improves the baseline by 14.52%. [2026-01-19T15:56:16.729Z] Top recommended movies for user id 72: [2026-01-19T15:56:16.729Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T15:56:16.729Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T15:56:16.729Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T15:56:16.729Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T15:56:16.729Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T15:56:16.729Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (67560.057 ms) ====== [2026-01-19T15:56:16.729Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-19T15:56:17.164Z] GC before operation: completed in 250.151 ms, heap usage 276.789 MB -> 87.670 MB. [2026-01-19T15:56:29.976Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T15:56:40.462Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T15:56:53.490Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T15:57:04.132Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T15:57:11.391Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T15:57:18.629Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T15:57:24.431Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T15:57:29.381Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T15:57:29.381Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-19T15:57:29.381Z] The best model improves the baseline by 14.52%. [2026-01-19T15:57:29.839Z] Top recommended movies for user id 72: [2026-01-19T15:57:29.839Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T15:57:29.839Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T15:57:29.839Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T15:57:29.839Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T15:57:29.839Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T15:57:29.839Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (72814.546 ms) ====== [2026-01-19T15:57:29.839Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-19T15:57:30.259Z] GC before operation: completed in 207.353 ms, heap usage 256.542 MB -> 88.439 MB. [2026-01-19T15:57:42.732Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T15:57:50.211Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T15:58:01.204Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T15:58:10.087Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T15:58:13.874Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T15:58:19.670Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T15:58:25.497Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T15:58:30.111Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T15:58:30.538Z] 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. [2026-01-19T15:58:30.538Z] The best model improves the baseline by 14.52%. [2026-01-19T15:58:31.474Z] Top recommended movies for user id 72: [2026-01-19T15:58:31.474Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T15:58:31.474Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T15:58:31.474Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T15:58:31.474Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T15:58:31.474Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T15:58:31.474Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (61287.262 ms) ====== [2026-01-19T15:58:31.474Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-19T15:58:31.474Z] GC before operation: completed in 267.146 ms, heap usage 687.923 MB -> 92.537 MB. [2026-01-19T15:58:41.530Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T15:58:51.977Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T15:59:00.695Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T15:59:11.577Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T15:59:18.872Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T15:59:23.657Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T15:59:29.544Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T15:59:35.704Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T15:59:36.212Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-19T15:59:36.656Z] The best model improves the baseline by 14.52%. [2026-01-19T15:59:37.066Z] Top recommended movies for user id 72: [2026-01-19T15:59:37.066Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T15:59:37.066Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T15:59:37.066Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T15:59:37.066Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T15:59:37.066Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T15:59:37.066Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (65272.318 ms) ====== [2026-01-19T15:59:37.066Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-19T15:59:37.066Z] GC before operation: completed in 259.496 ms, heap usage 158.352 MB -> 88.689 MB. [2026-01-19T15:59:49.593Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T15:59:58.501Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T16:00:09.338Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T16:00:21.924Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T16:00:27.516Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T16:00:32.353Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T16:00:38.765Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T16:00:44.643Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T16:00:45.081Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-19T16:00:45.596Z] The best model improves the baseline by 14.52%. [2026-01-19T16:00:46.066Z] Top recommended movies for user id 72: [2026-01-19T16:00:46.066Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T16:00:46.066Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T16:00:46.066Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T16:00:46.066Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T16:00:46.066Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T16:00:46.066Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (68775.700 ms) ====== [2026-01-19T16:00:46.066Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-19T16:00:46.548Z] GC before operation: completed in 662.870 ms, heap usage 193.318 MB -> 89.170 MB. [2026-01-19T16:00:55.704Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T16:01:05.640Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T16:01:16.428Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T16:01:25.774Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T16:01:33.180Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T16:01:37.891Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T16:01:45.172Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T16:01:49.991Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T16:01:49.991Z] 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. [2026-01-19T16:01:49.991Z] The best model improves the baseline by 14.52%. [2026-01-19T16:01:50.504Z] Top recommended movies for user id 72: [2026-01-19T16:01:50.504Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T16:01:50.504Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T16:01:50.504Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T16:01:50.504Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T16:01:50.504Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T16:01:50.504Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (64050.661 ms) ====== [2026-01-19T16:01:50.504Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-19T16:01:50.916Z] GC before operation: completed in 183.221 ms, heap usage 355.555 MB -> 89.265 MB. [2026-01-19T16:02:01.412Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T16:02:11.600Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T16:02:18.709Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T16:02:29.274Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T16:02:34.099Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T16:02:40.070Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T16:02:46.163Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T16:02:51.000Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T16:02:51.437Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-19T16:02:51.437Z] The best model improves the baseline by 14.52%. [2026-01-19T16:02:51.908Z] Top recommended movies for user id 72: [2026-01-19T16:02:51.908Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T16:02:51.908Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T16:02:51.908Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T16:02:51.908Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T16:02:51.908Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T16:02:51.908Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (61074.120 ms) ====== [2026-01-19T16:02:51.908Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-19T16:02:52.554Z] GC before operation: completed in 280.233 ms, heap usage 813.889 MB -> 93.430 MB. [2026-01-19T16:03:01.851Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T16:03:09.209Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T16:03:21.617Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T16:03:30.477Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T16:03:34.262Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T16:03:40.102Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T16:03:44.767Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T16:03:49.832Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T16:03:50.287Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-19T16:03:50.287Z] The best model improves the baseline by 14.52%. [2026-01-19T16:03:50.288Z] Top recommended movies for user id 72: [2026-01-19T16:03:50.288Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T16:03:50.288Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T16:03:50.288Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T16:03:50.288Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T16:03:50.288Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T16:03:50.288Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (58240.920 ms) ====== [2026-01-19T16:03:50.288Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-19T16:03:51.485Z] GC before operation: completed in 861.761 ms, heap usage 1.629 GB -> 95.395 MB. [2026-01-19T16:04:00.314Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T16:04:10.429Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T16:04:17.543Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T16:04:26.074Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T16:04:30.777Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T16:04:35.235Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T16:04:41.438Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T16:04:47.492Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T16:04:48.485Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-19T16:04:48.485Z] The best model improves the baseline by 14.52%. [2026-01-19T16:04:48.485Z] Top recommended movies for user id 72: [2026-01-19T16:04:48.485Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T16:04:48.485Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T16:04:48.485Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T16:04:48.485Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T16:04:48.485Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T16:04:48.485Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (57168.822 ms) ====== [2026-01-19T16:04:48.485Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-19T16:04:48.967Z] GC before operation: completed in 230.342 ms, heap usage 192.815 MB -> 89.196 MB. [2026-01-19T16:04:57.534Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T16:05:03.081Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T16:05:08.715Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T16:05:15.539Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T16:05:20.112Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T16:05:23.813Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T16:05:28.272Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T16:05:32.930Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T16:05:33.835Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-19T16:05:33.835Z] The best model improves the baseline by 14.52%. [2026-01-19T16:05:34.267Z] Top recommended movies for user id 72: [2026-01-19T16:05:34.267Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T16:05:34.267Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T16:05:34.267Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T16:05:34.267Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T16:05:34.267Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T16:05:34.267Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (45353.427 ms) ====== [2026-01-19T16:05:34.267Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-19T16:05:34.267Z] GC before operation: completed in 105.333 ms, heap usage 347.614 MB -> 89.334 MB. [2026-01-19T16:05:44.981Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T16:05:53.884Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T16:06:04.583Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T16:06:13.213Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T16:06:17.784Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T16:06:22.343Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T16:06:27.336Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T16:06:32.104Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T16:06:32.566Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-19T16:06:32.566Z] The best model improves the baseline by 14.52%. [2026-01-19T16:06:32.971Z] Top recommended movies for user id 72: [2026-01-19T16:06:32.971Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T16:06:32.971Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T16:06:32.971Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T16:06:32.971Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T16:06:32.971Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T16:06:32.972Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (58785.286 ms) ====== [2026-01-19T16:06:32.972Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-19T16:06:32.972Z] GC before operation: completed in 171.562 ms, heap usage 205.960 MB -> 89.110 MB. [2026-01-19T16:06:41.874Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T16:06:50.970Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T16:07:01.612Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T16:07:12.270Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T16:07:19.323Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T16:07:24.264Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T16:07:31.350Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T16:07:38.690Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T16:07:39.707Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-19T16:07:40.110Z] The best model improves the baseline by 14.52%. [2026-01-19T16:07:40.110Z] Top recommended movies for user id 72: [2026-01-19T16:07:40.111Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T16:07:40.111Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T16:07:40.111Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T16:07:40.111Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T16:07:40.111Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T16:07:40.111Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (67048.248 ms) ====== [2026-01-19T16:07:40.111Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-19T16:07:40.111Z] GC before operation: completed in 127.638 ms, heap usage 351.770 MB -> 89.584 MB. [2026-01-19T16:07:52.854Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T16:08:01.918Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T16:08:11.789Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T16:08:20.748Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T16:08:26.946Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T16:08:31.803Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T16:08:37.816Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T16:08:42.466Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T16:08:43.459Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-19T16:08:43.459Z] The best model improves the baseline by 14.52%. [2026-01-19T16:08:43.936Z] Top recommended movies for user id 72: [2026-01-19T16:08:43.936Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T16:08:43.936Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T16:08:43.936Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T16:08:43.936Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T16:08:43.936Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T16:08:43.936Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (63663.730 ms) ====== [2026-01-19T16:08:43.936Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-19T16:08:44.346Z] GC before operation: completed in 207.383 ms, heap usage 1.457 GB -> 95.123 MB. [2026-01-19T16:08:55.642Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T16:09:06.839Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T16:09:15.718Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T16:09:24.608Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T16:09:28.409Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T16:09:34.151Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T16:09:39.923Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T16:09:44.779Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T16:09:45.232Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-19T16:09:45.232Z] The best model improves the baseline by 14.52%. [2026-01-19T16:09:45.232Z] Top recommended movies for user id 72: [2026-01-19T16:09:45.232Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T16:09:45.232Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T16:09:45.232Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T16:09:45.232Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T16:09:45.232Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T16:09:45.232Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (61177.563 ms) ====== [2026-01-19T16:09:45.232Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-19T16:09:45.847Z] GC before operation: completed in 388.543 ms, heap usage 806.152 MB -> 93.597 MB. [2026-01-19T16:09:56.161Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T16:10:05.411Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T16:10:16.098Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T16:10:23.574Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T16:10:28.365Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T16:10:33.223Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T16:10:37.930Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T16:10:44.054Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T16:10:45.503Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-19T16:10:45.503Z] The best model improves the baseline by 14.52%. [2026-01-19T16:10:46.547Z] Top recommended movies for user id 72: [2026-01-19T16:10:46.547Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T16:10:46.547Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T16:10:46.547Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T16:10:46.547Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T16:10:46.547Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T16:10:46.547Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (60802.476 ms) ====== [2026-01-19T16:10:46.547Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-19T16:10:46.962Z] GC before operation: completed in 235.600 ms, heap usage 999.254 MB -> 94.165 MB. [2026-01-19T16:10:55.682Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T16:11:02.831Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T16:11:15.192Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T16:11:25.785Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T16:11:30.583Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T16:11:35.338Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T16:11:39.841Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T16:11:45.605Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T16:11:46.017Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-19T16:11:46.017Z] The best model improves the baseline by 14.52%. [2026-01-19T16:11:46.546Z] Top recommended movies for user id 72: [2026-01-19T16:11:46.546Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T16:11:46.546Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T16:11:46.546Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T16:11:46.546Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T16:11:46.546Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T16:11:46.546Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (59519.809 ms) ====== [2026-01-19T16:11:46.546Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-19T16:11:46.546Z] GC before operation: completed in 204.645 ms, heap usage 1.083 GB -> 94.794 MB. [2026-01-19T16:11:56.962Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T16:12:05.552Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T16:12:16.519Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T16:12:25.344Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T16:12:31.246Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T16:12:37.262Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T16:12:43.302Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T16:12:47.997Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T16:12:48.458Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-19T16:12:48.458Z] The best model improves the baseline by 14.52%. [2026-01-19T16:12:49.522Z] Top recommended movies for user id 72: [2026-01-19T16:12:49.522Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T16:12:49.522Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T16:12:49.522Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T16:12:49.522Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T16:12:49.522Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T16:12:49.522Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (63076.508 ms) ====== [2026-01-19T16:12:49.522Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-19T16:12:49.998Z] GC before operation: completed in 194.654 ms, heap usage 173.849 MB -> 89.325 MB. [2026-01-19T16:13:00.231Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T16:13:13.185Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T16:13:22.235Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T16:13:32.857Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T16:13:37.761Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T16:13:43.828Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T16:13:49.421Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T16:13:56.611Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T16:13:56.611Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-19T16:13:56.611Z] The best model improves the baseline by 14.52%. [2026-01-19T16:13:57.054Z] Top recommended movies for user id 72: [2026-01-19T16:13:57.054Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T16:13:57.054Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T16:13:57.054Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T16:13:57.054Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T16:13:57.054Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T16:13:57.054Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (67309.571 ms) ====== [2026-01-19T16:13:57.054Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-19T16:13:57.521Z] GC before operation: completed in 208.779 ms, heap usage 389.133 MB -> 89.520 MB. [2026-01-19T16:14:07.744Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T16:14:18.248Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T16:14:25.564Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T16:14:36.170Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T16:14:40.811Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T16:14:43.587Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T16:14:48.070Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T16:14:52.043Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T16:14:52.448Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-19T16:14:52.448Z] The best model improves the baseline by 14.52%. [2026-01-19T16:14:52.930Z] Top recommended movies for user id 72: [2026-01-19T16:14:52.930Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T16:14:52.930Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T16:14:52.930Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T16:14:52.930Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T16:14:52.930Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T16:14:52.930Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (55352.465 ms) ====== [2026-01-19T16:14:54.433Z] ----------------------------------- [2026-01-19T16:14:54.433Z] renaissance-movie-lens_0_PASSED [2026-01-19T16:14:54.433Z] ----------------------------------- [2026-01-19T16:14:54.433Z] [2026-01-19T16:14:54.433Z] TEST TEARDOWN: [2026-01-19T16:14:54.433Z] Nothing to be done for teardown. [2026-01-19T16:14:54.433Z] renaissance-movie-lens_0 Finish Time: Mon Jan 19 11:14:53 2026 Epoch Time (ms): 1768839293974