[2026-01-19T12:26:31.045Z] Running test renaissance-movie-lens_0 ... [2026-01-19T12:26:31.045Z] =============================================== [2026-01-19T12:26:31.045Z] renaissance-movie-lens_0 Start Time: Mon Jan 19 07:26:30 2026 Epoch Time (ms): 1768825590698 [2026-01-19T12:26:31.045Z] variation: NoOptions [2026-01-19T12:26:31.045Z] JVM_OPTIONS: [2026-01-19T12:26:31.045Z] { \ [2026-01-19T12:26:31.045Z] echo ""; echo "TEST SETUP:"; \ [2026-01-19T12:26:31.045Z] echo "Nothing to be done for setup."; \ [2026-01-19T12:26:31.045Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17688251846307/renaissance-movie-lens_0"; \ [2026-01-19T12:26:31.045Z] cd "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17688251846307/renaissance-movie-lens_0"; \ [2026-01-19T12:26:31.045Z] echo ""; echo "TESTING:"; \ [2026-01-19T12:26:31.045Z] "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17688251846307/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-19T12:26:31.045Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17688251846307/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-19T12:26:31.045Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-19T12:26:31.045Z] echo "Nothing to be done for teardown."; \ [2026-01-19T12:26:31.045Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17688251846307/TestTargetResult"; [2026-01-19T12:26:31.045Z] [2026-01-19T12:26:31.045Z] TEST SETUP: [2026-01-19T12:26:31.045Z] Nothing to be done for setup. [2026-01-19T12:26:31.045Z] [2026-01-19T12:26:31.045Z] TESTING: [2026-01-19T12:26:35.045Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-19T12:26:38.216Z] 07:26:38.165 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. [2026-01-19T12:26:39.516Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-19T12:26:39.899Z] Training: 60056, validation: 20285, test: 19854 [2026-01-19T12:26:39.899Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-19T12:26:39.899Z] GC before operation: completed in 77.463 ms, heap usage 169.006 MB -> 75.957 MB. [2026-01-19T12:26:43.058Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T12:26:45.576Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T12:26:47.418Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T12:26:49.886Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T12:26:50.677Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T12:26:51.931Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T12:26:53.180Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T12:26:53.955Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T12:26:54.340Z] 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. [2026-01-19T12:26:54.340Z] The best model improves the baseline by 14.52%. [2026-01-19T12:26:54.340Z] Top recommended movies for user id 72: [2026-01-19T12:26:54.340Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T12:26:54.340Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T12:26:54.340Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T12:26:54.340Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T12:26:54.340Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T12:26:54.340Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (14625.623 ms) ====== [2026-01-19T12:26:54.340Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-19T12:26:54.340Z] GC before operation: completed in 91.506 ms, heap usage 281.736 MB -> 92.236 MB. [2026-01-19T12:26:56.814Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T12:26:58.095Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T12:26:59.913Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T12:27:01.786Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T12:27:02.616Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T12:27:03.424Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T12:27:04.715Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T12:27:05.530Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T12:27:05.530Z] 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. [2026-01-19T12:27:05.530Z] The best model improves the baseline by 14.52%. [2026-01-19T12:27:05.914Z] Top recommended movies for user id 72: [2026-01-19T12:27:05.914Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T12:27:05.914Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T12:27:05.914Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T12:27:05.914Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T12:27:05.914Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T12:27:05.914Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (11279.419 ms) ====== [2026-01-19T12:27:05.914Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-19T12:27:05.914Z] GC before operation: completed in 99.786 ms, heap usage 170.810 MB -> 88.734 MB. [2026-01-19T12:27:07.735Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T12:27:09.537Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T12:27:11.392Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T12:27:12.648Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T12:27:13.443Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T12:27:14.680Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T12:27:15.471Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T12:27:16.757Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T12:27:16.757Z] 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. [2026-01-19T12:27:16.757Z] The best model improves the baseline by 14.52%. [2026-01-19T12:27:16.757Z] Top recommended movies for user id 72: [2026-01-19T12:27:16.757Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T12:27:16.757Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T12:27:16.757Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T12:27:16.757Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T12:27:16.757Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T12:27:16.757Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (10851.188 ms) ====== [2026-01-19T12:27:16.757Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-19T12:27:16.757Z] GC before operation: completed in 85.112 ms, heap usage 202.702 MB -> 89.429 MB. [2026-01-19T12:27:19.220Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T12:27:20.470Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T12:27:22.318Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T12:27:23.593Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T12:27:24.841Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T12:27:25.625Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T12:27:26.390Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T12:27:27.273Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T12:27:27.273Z] 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. [2026-01-19T12:27:27.273Z] The best model improves the baseline by 14.52%. [2026-01-19T12:27:27.273Z] Top recommended movies for user id 72: [2026-01-19T12:27:27.273Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T12:27:27.273Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T12:27:27.273Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T12:27:27.273Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T12:27:27.273Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T12:27:27.273Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (10489.110 ms) ====== [2026-01-19T12:27:27.273Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-19T12:27:27.273Z] GC before operation: completed in 53.144 ms, heap usage 540.766 MB -> 90.218 MB. [2026-01-19T12:27:28.546Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T12:27:29.860Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T12:27:31.141Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T12:27:32.380Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T12:27:33.150Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T12:27:33.933Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T12:27:34.705Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T12:27:35.475Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T12:27:35.475Z] 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. [2026-01-19T12:27:35.475Z] The best model improves the baseline by 14.52%. [2026-01-19T12:27:35.475Z] Top recommended movies for user id 72: [2026-01-19T12:27:35.475Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T12:27:35.475Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T12:27:35.475Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T12:27:35.475Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T12:27:35.475Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T12:27:35.475Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (8195.577 ms) ====== [2026-01-19T12:27:35.475Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-19T12:27:35.475Z] GC before operation: completed in 52.539 ms, heap usage 456.511 MB -> 90.109 MB. [2026-01-19T12:27:36.709Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T12:27:37.950Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T12:27:39.755Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T12:27:41.552Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T12:27:42.363Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T12:27:43.684Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T12:27:45.000Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T12:27:45.800Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T12:27:45.800Z] 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. [2026-01-19T12:27:45.800Z] The best model improves the baseline by 14.52%. [2026-01-19T12:27:46.162Z] Top recommended movies for user id 72: [2026-01-19T12:27:46.162Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T12:27:46.162Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T12:27:46.162Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T12:27:46.162Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T12:27:46.162Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T12:27:46.162Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (10452.638 ms) ====== [2026-01-19T12:27:46.162Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-19T12:27:46.162Z] GC before operation: completed in 76.210 ms, heap usage 167.323 MB -> 90.065 MB. [2026-01-19T12:27:48.012Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T12:27:49.802Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T12:27:52.258Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T12:27:53.573Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T12:27:54.854Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T12:27:56.141Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T12:27:56.979Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T12:27:58.340Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T12:27:58.340Z] 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. [2026-01-19T12:27:58.340Z] The best model improves the baseline by 14.52%. [2026-01-19T12:27:58.340Z] Top recommended movies for user id 72: [2026-01-19T12:27:58.340Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T12:27:58.340Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T12:27:58.340Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T12:27:58.340Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T12:27:58.340Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T12:27:58.340Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (12114.349 ms) ====== [2026-01-19T12:27:58.340Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-19T12:27:58.340Z] GC before operation: completed in 72.934 ms, heap usage 355.391 MB -> 90.265 MB. [2026-01-19T12:28:00.187Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T12:28:02.059Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T12:28:03.380Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T12:28:04.683Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T12:28:05.529Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T12:28:05.913Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T12:28:06.696Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T12:28:07.493Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T12:28:07.869Z] 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. [2026-01-19T12:28:07.869Z] The best model improves the baseline by 14.52%. [2026-01-19T12:28:07.869Z] Top recommended movies for user id 72: [2026-01-19T12:28:07.869Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T12:28:07.869Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T12:28:07.869Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T12:28:07.869Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T12:28:07.869Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T12:28:07.869Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (9499.028 ms) ====== [2026-01-19T12:28:07.869Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-19T12:28:07.869Z] GC before operation: completed in 63.865 ms, heap usage 449.039 MB -> 90.666 MB. [2026-01-19T12:28:09.121Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T12:28:10.925Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T12:28:13.375Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T12:28:14.626Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T12:28:15.870Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T12:28:17.123Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T12:28:17.907Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T12:28:19.188Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T12:28:19.188Z] 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. [2026-01-19T12:28:19.188Z] The best model improves the baseline by 14.52%. [2026-01-19T12:28:19.553Z] Top recommended movies for user id 72: [2026-01-19T12:28:19.553Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T12:28:19.553Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T12:28:19.553Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T12:28:19.553Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T12:28:19.553Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T12:28:19.553Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (11510.134 ms) ====== [2026-01-19T12:28:19.553Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-19T12:28:19.553Z] GC before operation: completed in 74.144 ms, heap usage 127.851 MB -> 92.384 MB. [2026-01-19T12:28:21.365Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T12:28:22.605Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T12:28:23.863Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T12:28:25.652Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T12:28:26.019Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T12:28:26.802Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T12:28:27.600Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T12:28:28.397Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T12:28:28.397Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-19T12:28:28.397Z] The best model improves the baseline by 14.52%. [2026-01-19T12:28:28.397Z] Top recommended movies for user id 72: [2026-01-19T12:28:28.397Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T12:28:28.397Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T12:28:28.397Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T12:28:28.397Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T12:28:28.397Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T12:28:28.397Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (8946.446 ms) ====== [2026-01-19T12:28:28.397Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-19T12:28:28.397Z] GC before operation: completed in 49.406 ms, heap usage 306.062 MB -> 90.550 MB. [2026-01-19T12:28:29.637Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T12:28:30.884Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T12:28:32.122Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T12:28:33.352Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T12:28:33.719Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T12:28:34.492Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T12:28:35.255Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T12:28:36.055Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T12:28:36.413Z] 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. [2026-01-19T12:28:36.413Z] The best model improves the baseline by 14.52%. [2026-01-19T12:28:36.413Z] Top recommended movies for user id 72: [2026-01-19T12:28:36.413Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T12:28:36.413Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T12:28:36.413Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T12:28:36.413Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T12:28:36.413Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T12:28:36.413Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (7829.795 ms) ====== [2026-01-19T12:28:36.413Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-19T12:28:36.413Z] GC before operation: completed in 49.785 ms, heap usage 124.122 MB -> 93.016 MB. [2026-01-19T12:28:37.649Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T12:28:38.892Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T12:28:40.124Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T12:28:41.369Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T12:28:42.613Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T12:28:43.411Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T12:28:44.180Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T12:28:44.964Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T12:28:44.964Z] 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. [2026-01-19T12:28:44.964Z] The best model improves the baseline by 14.52%. [2026-01-19T12:28:44.964Z] Top recommended movies for user id 72: [2026-01-19T12:28:44.964Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T12:28:44.964Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T12:28:44.964Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T12:28:44.964Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T12:28:44.964Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T12:28:44.964Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (8701.588 ms) ====== [2026-01-19T12:28:44.964Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-19T12:28:44.964Z] GC before operation: completed in 40.226 ms, heap usage 377.813 MB -> 90.563 MB. [2026-01-19T12:28:46.759Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T12:28:48.545Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T12:28:49.786Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T12:28:51.024Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T12:28:51.801Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T12:28:52.574Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T12:28:53.805Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T12:28:55.051Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T12:28:55.051Z] 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. [2026-01-19T12:28:55.051Z] The best model improves the baseline by 14.52%. [2026-01-19T12:28:55.051Z] Top recommended movies for user id 72: [2026-01-19T12:28:55.051Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T12:28:55.051Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T12:28:55.051Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T12:28:55.051Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T12:28:55.051Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T12:28:55.051Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (10013.187 ms) ====== [2026-01-19T12:28:55.052Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-19T12:28:55.052Z] GC before operation: completed in 65.239 ms, heap usage 321.571 MB -> 90.621 MB. [2026-01-19T12:28:56.925Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T12:28:58.755Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T12:29:00.047Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T12:29:01.901Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T12:29:02.718Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T12:29:03.503Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T12:29:04.262Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T12:29:05.037Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T12:29:05.391Z] 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. [2026-01-19T12:29:05.391Z] The best model improves the baseline by 14.52%. [2026-01-19T12:29:05.391Z] Top recommended movies for user id 72: [2026-01-19T12:29:05.391Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T12:29:05.391Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T12:29:05.391Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T12:29:05.391Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T12:29:05.391Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T12:29:05.391Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (10180.831 ms) ====== [2026-01-19T12:29:05.391Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-19T12:29:05.391Z] GC before operation: completed in 55.442 ms, heap usage 97.444 MB -> 90.086 MB. [2026-01-19T12:29:07.164Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T12:29:07.924Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T12:29:09.153Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T12:29:10.421Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T12:29:10.797Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T12:29:12.100Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T12:29:12.889Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T12:29:13.258Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T12:29:13.615Z] 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. [2026-01-19T12:29:13.615Z] The best model improves the baseline by 14.52%. [2026-01-19T12:29:13.615Z] Top recommended movies for user id 72: [2026-01-19T12:29:13.615Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T12:29:13.615Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T12:29:13.615Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T12:29:13.615Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T12:29:13.615Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T12:29:13.615Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (8147.838 ms) ====== [2026-01-19T12:29:13.615Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-19T12:29:13.615Z] GC before operation: completed in 58.794 ms, heap usage 446.671 MB -> 90.813 MB. [2026-01-19T12:29:14.865Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T12:29:16.099Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T12:29:17.342Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T12:29:18.581Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T12:29:19.344Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T12:29:20.109Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T12:29:20.471Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T12:29:21.234Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T12:29:21.234Z] 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. [2026-01-19T12:29:21.234Z] The best model improves the baseline by 14.52%. [2026-01-19T12:29:21.234Z] Top recommended movies for user id 72: [2026-01-19T12:29:21.234Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T12:29:21.234Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T12:29:21.234Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T12:29:21.234Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T12:29:21.234Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T12:29:21.234Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (7655.270 ms) ====== [2026-01-19T12:29:21.234Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-19T12:29:21.234Z] GC before operation: completed in 46.008 ms, heap usage 271.637 MB -> 90.433 MB. [2026-01-19T12:29:22.489Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T12:29:23.283Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T12:29:24.519Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T12:29:25.767Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T12:29:26.120Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T12:29:26.475Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T12:29:27.246Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T12:29:28.028Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T12:29:28.028Z] 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. [2026-01-19T12:29:28.383Z] The best model improves the baseline by 14.52%. [2026-01-19T12:29:28.383Z] Top recommended movies for user id 72: [2026-01-19T12:29:28.383Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T12:29:28.383Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T12:29:28.383Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T12:29:28.383Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T12:29:28.383Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T12:29:28.383Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (6922.841 ms) ====== [2026-01-19T12:29:28.383Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-19T12:29:28.383Z] GC before operation: completed in 54.807 ms, heap usage 282.735 MB -> 90.630 MB. [2026-01-19T12:29:29.144Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T12:29:30.376Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T12:29:31.142Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T12:29:31.906Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T12:29:32.673Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T12:29:33.033Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T12:29:33.812Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T12:29:34.169Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T12:29:34.169Z] 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. [2026-01-19T12:29:34.169Z] The best model improves the baseline by 14.52%. [2026-01-19T12:29:34.525Z] Top recommended movies for user id 72: [2026-01-19T12:29:34.525Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T12:29:34.525Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T12:29:34.525Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T12:29:34.525Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T12:29:34.525Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T12:29:34.525Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (6045.509 ms) ====== [2026-01-19T12:29:34.525Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-19T12:29:34.525Z] GC before operation: completed in 45.131 ms, heap usage 139.354 MB -> 90.137 MB. [2026-01-19T12:29:35.296Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T12:29:36.536Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T12:29:37.305Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T12:29:38.549Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T12:29:38.906Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T12:29:39.667Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T12:29:40.024Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T12:29:40.804Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T12:29:40.804Z] 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. [2026-01-19T12:29:40.804Z] The best model improves the baseline by 14.52%. [2026-01-19T12:29:40.804Z] Top recommended movies for user id 72: [2026-01-19T12:29:40.804Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T12:29:40.804Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T12:29:40.804Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T12:29:40.804Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T12:29:40.804Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T12:29:40.804Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (6478.735 ms) ====== [2026-01-19T12:29:40.804Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-19T12:29:40.804Z] GC before operation: completed in 42.058 ms, heap usage 101.558 MB -> 90.065 MB. [2026-01-19T12:29:42.037Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T12:29:42.815Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T12:29:44.052Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T12:29:44.854Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T12:29:45.636Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T12:29:45.996Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T12:29:46.761Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T12:29:47.539Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T12:29:47.539Z] 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. [2026-01-19T12:29:47.539Z] The best model improves the baseline by 14.52%. [2026-01-19T12:29:47.539Z] Top recommended movies for user id 72: [2026-01-19T12:29:47.539Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T12:29:47.539Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T12:29:47.539Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T12:29:47.539Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T12:29:47.539Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T12:29:47.539Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (6577.604 ms) ====== [2026-01-19T12:29:47.898Z] ----------------------------------- [2026-01-19T12:29:47.898Z] renaissance-movie-lens_0_PASSED [2026-01-19T12:29:47.898Z] ----------------------------------- [2026-01-19T12:29:47.898Z] [2026-01-19T12:29:47.898Z] TEST TEARDOWN: [2026-01-19T12:29:47.898Z] Nothing to be done for teardown. [2026-01-19T12:29:47.898Z] renaissance-movie-lens_0 Finish Time: Mon Jan 19 07:29:47 2026 Epoch Time (ms): 1768825787782