[2026-01-16T17:06:46.784Z] Running test renaissance-movie-lens_0 ... [2026-01-16T17:06:46.784Z] =============================================== [2026-01-16T17:06:46.784Z] renaissance-movie-lens_0 Start Time: Fri Jan 16 12:06:46 2026 Epoch Time (ms): 1768583206532 [2026-01-16T17:06:46.784Z] variation: NoOptions [2026-01-16T17:06:46.784Z] JVM_OPTIONS: [2026-01-16T17:06:46.784Z] { \ [2026-01-16T17:06:46.784Z] echo ""; echo "TEST SETUP:"; \ [2026-01-16T17:06:46.784Z] echo "Nothing to be done for setup."; \ [2026-01-16T17:06:46.784Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_1768582389781/renaissance-movie-lens_0"; \ [2026-01-16T17:06:46.784Z] cd "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_1768582389781/renaissance-movie-lens_0"; \ [2026-01-16T17:06:46.784Z] echo ""; echo "TESTING:"; \ [2026-01-16T17:06:46.784Z] "/Users/admin/workspace/workspace/Test_openjdk11_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_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_1768582389781/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-16T17:06:46.784Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_1768582389781/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-16T17:06:46.784Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-16T17:06:46.784Z] echo "Nothing to be done for teardown."; \ [2026-01-16T17:06:46.784Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_1768582389781/TestTargetResult"; [2026-01-16T17:06:46.784Z] [2026-01-16T17:06:46.784Z] TEST SETUP: [2026-01-16T17:06:46.784Z] Nothing to be done for setup. [2026-01-16T17:06:46.784Z] [2026-01-16T17:06:46.784Z] TESTING: [2026-01-16T17:06:49.869Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-16T17:06:52.999Z] 12:06:52.261 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-16T17:06:53.369Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-16T17:06:53.727Z] Training: 60056, validation: 20285, test: 19854 [2026-01-16T17:06:53.727Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-16T17:06:53.727Z] GC before operation: completed in 53.761 ms, heap usage 271.127 MB -> 74.660 MB. [2026-01-16T17:06:56.898Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T17:06:58.121Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T17:07:00.574Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T17:07:01.875Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T17:07:02.647Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T17:07:03.403Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T17:07:04.174Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T17:07:04.951Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T17:07:05.301Z] 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. [2026-01-16T17:07:05.301Z] The best model improves the baseline by 14.52%. [2026-01-16T17:07:05.301Z] Top recommended movies for user id 72: [2026-01-16T17:07:05.301Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T17:07:05.302Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T17:07:05.302Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T17:07:05.302Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T17:07:05.302Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T17:07:05.302Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (11635.442 ms) ====== [2026-01-16T17:07:05.302Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-16T17:07:05.302Z] GC before operation: completed in 66.636 ms, heap usage 130.300 MB -> 85.539 MB. [2026-01-16T17:07:07.068Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T17:07:08.306Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T17:07:10.097Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T17:07:11.310Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T17:07:12.077Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T17:07:12.827Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T17:07:13.594Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T17:07:14.355Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T17:07:14.711Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-16T17:07:14.711Z] The best model improves the baseline by 14.52%. [2026-01-16T17:07:14.711Z] Top recommended movies for user id 72: [2026-01-16T17:07:14.711Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T17:07:14.711Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T17:07:14.711Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T17:07:14.711Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T17:07:14.711Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T17:07:14.711Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (9286.585 ms) ====== [2026-01-16T17:07:14.711Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-16T17:07:14.711Z] GC before operation: completed in 71.075 ms, heap usage 396.044 MB -> 87.978 MB. [2026-01-16T17:07:16.466Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T17:07:18.228Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T17:07:19.988Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T17:07:21.200Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T17:07:21.963Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T17:07:22.719Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T17:07:23.484Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T17:07:24.253Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T17:07:24.610Z] 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. [2026-01-16T17:07:24.610Z] The best model improves the baseline by 14.52%. [2026-01-16T17:07:24.610Z] Top recommended movies for user id 72: [2026-01-16T17:07:24.610Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T17:07:24.610Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T17:07:24.610Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T17:07:24.610Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T17:07:24.610Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T17:07:24.610Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (9837.785 ms) ====== [2026-01-16T17:07:24.610Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-16T17:07:24.610Z] GC before operation: completed in 65.736 ms, heap usage 168.357 MB -> 88.363 MB. [2026-01-16T17:07:26.410Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T17:07:27.640Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T17:07:28.860Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T17:07:30.626Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T17:07:31.397Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T17:07:32.155Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T17:07:32.938Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T17:07:33.707Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T17:07:34.058Z] 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. [2026-01-16T17:07:34.058Z] The best model improves the baseline by 14.52%. [2026-01-16T17:07:34.058Z] Top recommended movies for user id 72: [2026-01-16T17:07:34.058Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T17:07:34.058Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T17:07:34.058Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T17:07:34.058Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T17:07:34.058Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T17:07:34.058Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (9366.382 ms) ====== [2026-01-16T17:07:34.058Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-16T17:07:34.058Z] GC before operation: completed in 60.375 ms, heap usage 120.699 MB -> 88.580 MB. [2026-01-16T17:07:35.831Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T17:07:37.055Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T17:07:38.304Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T17:07:40.093Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T17:07:40.850Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T17:07:41.603Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T17:07:42.378Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T17:07:43.151Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T17:07:43.506Z] 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. [2026-01-16T17:07:43.506Z] The best model improves the baseline by 14.52%. [2026-01-16T17:07:43.506Z] Top recommended movies for user id 72: [2026-01-16T17:07:43.506Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T17:07:43.506Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T17:07:43.506Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T17:07:43.506Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T17:07:43.506Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T17:07:43.506Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (9386.632 ms) ====== [2026-01-16T17:07:43.506Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-16T17:07:43.506Z] GC before operation: completed in 57.071 ms, heap usage 170.887 MB -> 88.584 MB. [2026-01-16T17:07:45.261Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T17:07:46.491Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T17:07:47.719Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T17:07:48.937Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T17:07:49.708Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T17:07:50.463Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T17:07:51.219Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T17:07:52.440Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T17:07:52.440Z] 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. [2026-01-16T17:07:52.440Z] The best model improves the baseline by 14.52%. [2026-01-16T17:07:52.440Z] Top recommended movies for user id 72: [2026-01-16T17:07:52.440Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T17:07:52.440Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T17:07:52.440Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T17:07:52.440Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T17:07:52.440Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T17:07:52.440Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (8801.323 ms) ====== [2026-01-16T17:07:52.440Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-16T17:07:52.440Z] GC before operation: completed in 57.049 ms, heap usage 364.540 MB -> 89.164 MB. [2026-01-16T17:07:53.671Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T17:07:55.426Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T17:07:56.654Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T17:07:57.890Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T17:07:59.111Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T17:07:59.881Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T17:08:00.660Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T17:08:01.458Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T17:08:01.827Z] 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. [2026-01-16T17:08:01.827Z] The best model improves the baseline by 14.52%. [2026-01-16T17:08:01.827Z] Top recommended movies for user id 72: [2026-01-16T17:08:01.827Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T17:08:01.827Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T17:08:01.827Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T17:08:01.827Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T17:08:01.827Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T17:08:01.827Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (9355.614 ms) ====== [2026-01-16T17:08:01.827Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-16T17:08:01.827Z] GC before operation: completed in 60.668 ms, heap usage 201.566 MB -> 88.848 MB. [2026-01-16T17:08:03.090Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T17:08:04.867Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T17:08:06.100Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T17:08:06.859Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T17:08:07.614Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T17:08:08.368Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T17:08:09.132Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T17:08:09.494Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T17:08:09.849Z] 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. [2026-01-16T17:08:09.849Z] The best model improves the baseline by 14.52%. [2026-01-16T17:08:09.849Z] Top recommended movies for user id 72: [2026-01-16T17:08:09.849Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T17:08:09.849Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T17:08:09.849Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T17:08:09.849Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T17:08:09.849Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T17:08:09.849Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (7949.559 ms) ====== [2026-01-16T17:08:09.849Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-16T17:08:09.849Z] GC before operation: completed in 55.235 ms, heap usage 119.092 MB -> 88.939 MB. [2026-01-16T17:08:11.085Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T17:08:12.304Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T17:08:13.525Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T17:08:14.282Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T17:08:15.039Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T17:08:15.789Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T17:08:16.549Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T17:08:17.304Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T17:08:17.304Z] 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. [2026-01-16T17:08:17.304Z] The best model improves the baseline by 14.52%. [2026-01-16T17:08:17.654Z] Top recommended movies for user id 72: [2026-01-16T17:08:17.654Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T17:08:17.654Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T17:08:17.654Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T17:08:17.654Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T17:08:17.654Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T17:08:17.654Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (7664.634 ms) ====== [2026-01-16T17:08:17.654Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-16T17:08:17.654Z] GC before operation: completed in 55.812 ms, heap usage 438.328 MB -> 89.360 MB. [2026-01-16T17:08:18.893Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T17:08:20.111Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T17:08:20.868Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T17:08:22.096Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T17:08:22.861Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T17:08:23.630Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T17:08:24.383Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T17:08:25.140Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T17:08:25.140Z] 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. [2026-01-16T17:08:25.140Z] The best model improves the baseline by 14.52%. [2026-01-16T17:08:25.140Z] Top recommended movies for user id 72: [2026-01-16T17:08:25.140Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T17:08:25.140Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T17:08:25.140Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T17:08:25.140Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T17:08:25.140Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T17:08:25.140Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (7723.058 ms) ====== [2026-01-16T17:08:25.140Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-16T17:08:25.490Z] GC before operation: completed in 56.232 ms, heap usage 201.162 MB -> 89.181 MB. [2026-01-16T17:08:26.707Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T17:08:27.927Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T17:08:29.176Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T17:08:29.934Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T17:08:30.689Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T17:08:31.451Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T17:08:31.814Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T17:08:33.047Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T17:08:33.047Z] 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. [2026-01-16T17:08:33.047Z] The best model improves the baseline by 14.52%. [2026-01-16T17:08:33.047Z] Top recommended movies for user id 72: [2026-01-16T17:08:33.047Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T17:08:33.047Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T17:08:33.047Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T17:08:33.047Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T17:08:33.047Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T17:08:33.047Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (7743.979 ms) ====== [2026-01-16T17:08:33.047Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-16T17:08:33.047Z] GC before operation: completed in 57.696 ms, heap usage 210.170 MB -> 88.875 MB. [2026-01-16T17:08:34.416Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T17:08:35.638Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T17:08:37.399Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T17:08:38.624Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T17:08:39.384Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T17:08:40.157Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T17:08:40.916Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T17:08:41.672Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T17:08:41.672Z] 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. [2026-01-16T17:08:41.672Z] The best model improves the baseline by 14.52%. [2026-01-16T17:08:42.041Z] Top recommended movies for user id 72: [2026-01-16T17:08:42.041Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T17:08:42.041Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T17:08:42.041Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T17:08:42.041Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T17:08:42.041Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T17:08:42.041Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (8698.490 ms) ====== [2026-01-16T17:08:42.041Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-16T17:08:42.041Z] GC before operation: completed in 56.506 ms, heap usage 362.498 MB -> 89.321 MB. [2026-01-16T17:08:43.263Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T17:08:44.038Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T17:08:45.260Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T17:08:46.475Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T17:08:47.234Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T17:08:48.030Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T17:08:48.381Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T17:08:49.143Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T17:08:49.143Z] 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. [2026-01-16T17:08:49.143Z] The best model improves the baseline by 14.52%. [2026-01-16T17:08:49.499Z] Top recommended movies for user id 72: [2026-01-16T17:08:49.499Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T17:08:49.499Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T17:08:49.499Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T17:08:49.499Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T17:08:49.499Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T17:08:49.499Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (7443.883 ms) ====== [2026-01-16T17:08:49.499Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-16T17:08:49.499Z] GC before operation: completed in 56.141 ms, heap usage 423.044 MB -> 89.389 MB. [2026-01-16T17:08:50.739Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T17:08:51.969Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T17:08:53.197Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T17:08:54.437Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T17:08:54.793Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T17:08:55.566Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T17:08:56.329Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T17:08:57.094Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T17:08:57.094Z] 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. [2026-01-16T17:08:57.094Z] The best model improves the baseline by 14.52%. [2026-01-16T17:08:57.458Z] Top recommended movies for user id 72: [2026-01-16T17:08:57.458Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T17:08:57.458Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T17:08:57.458Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T17:08:57.458Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T17:08:57.458Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T17:08:57.458Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (7859.842 ms) ====== [2026-01-16T17:08:57.458Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-16T17:08:57.458Z] GC before operation: completed in 56.728 ms, heap usage 191.628 MB -> 89.078 MB. [2026-01-16T17:08:58.678Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T17:08:59.893Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T17:09:01.136Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T17:09:01.898Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T17:09:02.666Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T17:09:03.439Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T17:09:04.225Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T17:09:05.014Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T17:09:05.014Z] 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. [2026-01-16T17:09:05.014Z] The best model improves the baseline by 14.52%. [2026-01-16T17:09:05.014Z] Top recommended movies for user id 72: [2026-01-16T17:09:05.014Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T17:09:05.014Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T17:09:05.014Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T17:09:05.014Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T17:09:05.014Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T17:09:05.014Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (7707.210 ms) ====== [2026-01-16T17:09:05.015Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-16T17:09:05.015Z] GC before operation: completed in 56.357 ms, heap usage 282.838 MB -> 89.388 MB. [2026-01-16T17:09:06.235Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T17:09:07.463Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T17:09:08.679Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T17:09:09.439Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T17:09:10.190Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T17:09:10.949Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T17:09:11.700Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T17:09:12.452Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T17:09:12.452Z] 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. [2026-01-16T17:09:12.452Z] The best model improves the baseline by 14.52%. [2026-01-16T17:09:12.452Z] Top recommended movies for user id 72: [2026-01-16T17:09:12.452Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T17:09:12.452Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T17:09:12.452Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T17:09:12.452Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T17:09:12.452Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T17:09:12.452Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (7431.208 ms) ====== [2026-01-16T17:09:12.452Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-16T17:09:12.452Z] GC before operation: completed in 66.922 ms, heap usage 297.157 MB -> 89.242 MB. [2026-01-16T17:09:13.691Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T17:09:14.921Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T17:09:16.150Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T17:09:17.365Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T17:09:18.118Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T17:09:18.879Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T17:09:19.355Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T17:09:20.131Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T17:09:20.131Z] 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. [2026-01-16T17:09:20.131Z] The best model improves the baseline by 14.52%. [2026-01-16T17:09:20.131Z] Top recommended movies for user id 72: [2026-01-16T17:09:20.131Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T17:09:20.131Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T17:09:20.131Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T17:09:20.131Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T17:09:20.131Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T17:09:20.131Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (7700.013 ms) ====== [2026-01-16T17:09:20.131Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-16T17:09:20.480Z] GC before operation: completed in 58.108 ms, heap usage 198.591 MB -> 89.137 MB. [2026-01-16T17:09:21.734Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T17:09:22.515Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T17:09:23.751Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T17:09:24.978Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T17:09:25.747Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T17:09:26.509Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T17:09:27.283Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T17:09:28.564Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T17:09:28.564Z] 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. [2026-01-16T17:09:28.564Z] The best model improves the baseline by 14.52%. [2026-01-16T17:09:28.564Z] Top recommended movies for user id 72: [2026-01-16T17:09:28.564Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T17:09:28.564Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T17:09:28.564Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T17:09:28.564Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T17:09:28.564Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T17:09:28.564Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (8256.328 ms) ====== [2026-01-16T17:09:28.564Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-16T17:09:28.564Z] GC before operation: completed in 68.295 ms, heap usage 396.168 MB -> 89.203 MB. [2026-01-16T17:09:30.365Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T17:09:31.620Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T17:09:33.412Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T17:09:34.637Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T17:09:35.396Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T17:09:36.165Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T17:09:36.941Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T17:09:38.167Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T17:09:38.168Z] 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. [2026-01-16T17:09:38.168Z] The best model improves the baseline by 14.52%. [2026-01-16T17:09:38.168Z] Top recommended movies for user id 72: [2026-01-16T17:09:38.168Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T17:09:38.168Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T17:09:38.168Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T17:09:38.168Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T17:09:38.168Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T17:09:38.168Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (9382.413 ms) ====== [2026-01-16T17:09:38.168Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-16T17:09:38.168Z] GC before operation: completed in 67.898 ms, heap usage 243.396 MB -> 89.190 MB. [2026-01-16T17:09:39.390Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T17:09:41.167Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T17:09:42.403Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T17:09:44.166Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T17:09:44.931Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T17:09:46.166Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T17:09:46.945Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T17:09:48.200Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T17:09:48.200Z] 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. [2026-01-16T17:09:48.200Z] The best model improves the baseline by 14.52%. [2026-01-16T17:09:48.200Z] Top recommended movies for user id 72: [2026-01-16T17:09:48.200Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T17:09:48.200Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T17:09:48.200Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T17:09:48.200Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T17:09:48.200Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T17:09:48.200Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (10088.722 ms) ====== [2026-01-16T17:09:48.555Z] ----------------------------------- [2026-01-16T17:09:48.555Z] renaissance-movie-lens_0_PASSED [2026-01-16T17:09:48.555Z] ----------------------------------- [2026-01-16T17:09:48.555Z] [2026-01-16T17:09:48.555Z] TEST TEARDOWN: [2026-01-16T17:09:48.555Z] Nothing to be done for teardown. [2026-01-16T17:09:48.555Z] renaissance-movie-lens_0 Finish Time: Fri Jan 16 12:09:48 2026 Epoch Time (ms): 1768583388392