[2026-01-18T20:53:07.375Z] Running test renaissance-movie-lens_0 ... [2026-01-18T20:53:07.375Z] =============================================== [2026-01-18T20:53:07.375Z] renaissance-movie-lens_0 Start Time: Sun Jan 18 20:53:06 2026 Epoch Time (ms): 1768769586761 [2026-01-18T20:53:07.375Z] variation: NoOptions [2026-01-18T20:53:07.375Z] JVM_OPTIONS: [2026-01-18T20:53:07.375Z] { \ [2026-01-18T20:53:07.375Z] echo ""; echo "TEST SETUP:"; \ [2026-01-18T20:53:07.375Z] echo "Nothing to be done for setup."; \ [2026-01-18T20:53:07.375Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17687674797321/renaissance-movie-lens_0"; \ [2026-01-18T20:53:07.375Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17687674797321/renaissance-movie-lens_0"; \ [2026-01-18T20:53:07.375Z] echo ""; echo "TESTING:"; \ [2026-01-18T20:53:07.375Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/jdkbinary/j2sdk-image/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 "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17687674797321/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-18T20:53:07.375Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17687674797321/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-18T20:53:07.375Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-18T20:53:07.375Z] echo "Nothing to be done for teardown."; \ [2026-01-18T20:53:07.375Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17687674797321/TestTargetResult"; [2026-01-18T20:53:07.375Z] [2026-01-18T20:53:07.375Z] TEST SETUP: [2026-01-18T20:53:07.375Z] Nothing to be done for setup. [2026-01-18T20:53:07.375Z] [2026-01-18T20:53:07.375Z] TESTING: [2026-01-18T20:53:12.020Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-01-18T20:53:20.769Z] 20:53:19.472 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-01-18T20:53:22.979Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-18T20:53:23.298Z] Training: 60056, validation: 20285, test: 19854 [2026-01-18T20:53:23.298Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-18T20:53:23.298Z] GC before operation: completed in 141.848 ms, heap usage 184.104 MB -> 75.302 MB. [2026-01-18T20:53:32.051Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T20:53:35.747Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T20:53:40.474Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T20:53:44.166Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T20:53:47.041Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T20:53:49.229Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T20:53:51.486Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T20:53:53.096Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T20:53:53.419Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T20:53:53.739Z] The best model improves the baseline by 14.34%. [2026-01-18T20:53:53.739Z] Top recommended movies for user id 72: [2026-01-18T20:53:53.739Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T20:53:53.739Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T20:53:53.739Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T20:53:53.739Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T20:53:53.739Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T20:53:53.739Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (30477.100 ms) ====== [2026-01-18T20:53:53.739Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-18T20:53:54.061Z] GC before operation: completed in 125.672 ms, heap usage 248.553 MB -> 87.628 MB. [2026-01-18T20:53:57.795Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T20:54:00.678Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T20:54:03.629Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T20:54:05.811Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T20:54:06.921Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T20:54:08.528Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T20:54:10.136Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T20:54:11.334Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T20:54:11.650Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T20:54:11.650Z] The best model improves the baseline by 14.34%. [2026-01-18T20:54:11.995Z] Top recommended movies for user id 72: [2026-01-18T20:54:11.995Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T20:54:11.995Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T20:54:11.995Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T20:54:11.995Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T20:54:11.995Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T20:54:11.995Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17956.289 ms) ====== [2026-01-18T20:54:11.995Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-18T20:54:11.995Z] GC before operation: completed in 123.246 ms, heap usage 408.933 MB -> 87.886 MB. [2026-01-18T20:54:14.862Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T20:54:17.137Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T20:54:19.375Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T20:54:22.283Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T20:54:28.457Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T20:54:28.457Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T20:54:28.457Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T20:54:28.457Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T20:54:28.457Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T20:54:28.457Z] The best model improves the baseline by 14.34%. [2026-01-18T20:54:28.457Z] Top recommended movies for user id 72: [2026-01-18T20:54:28.457Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T20:54:28.457Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T20:54:28.457Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T20:54:28.457Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T20:54:28.457Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T20:54:28.457Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16082.425 ms) ====== [2026-01-18T20:54:28.457Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-18T20:54:28.457Z] GC before operation: completed in 118.379 ms, heap usage 395.508 MB -> 88.413 MB. [2026-01-18T20:54:30.638Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T20:54:32.823Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T20:54:35.688Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T20:54:37.295Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T20:54:38.898Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T20:54:40.048Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T20:54:41.655Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T20:54:43.255Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T20:54:43.255Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T20:54:43.255Z] The best model improves the baseline by 14.34%. [2026-01-18T20:54:43.571Z] Top recommended movies for user id 72: [2026-01-18T20:54:43.571Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T20:54:43.571Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T20:54:43.571Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T20:54:43.571Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T20:54:43.571Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T20:54:43.571Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15158.027 ms) ====== [2026-01-18T20:54:43.571Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-18T20:54:43.571Z] GC before operation: completed in 121.560 ms, heap usage 205.213 MB -> 88.427 MB. [2026-01-18T20:54:45.798Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T20:54:48.670Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T20:54:50.853Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T20:54:52.494Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T20:54:54.097Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T20:54:55.211Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T20:54:56.819Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T20:54:57.927Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T20:54:58.243Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T20:54:58.243Z] The best model improves the baseline by 14.34%. [2026-01-18T20:54:58.243Z] Top recommended movies for user id 72: [2026-01-18T20:54:58.243Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T20:54:58.243Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T20:54:58.243Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T20:54:58.243Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T20:54:58.243Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T20:54:58.243Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (14765.318 ms) ====== [2026-01-18T20:54:58.243Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-18T20:54:58.561Z] GC before operation: completed in 117.702 ms, heap usage 168.315 MB -> 88.317 MB. [2026-01-18T20:55:00.743Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T20:55:02.973Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T20:55:05.165Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T20:55:07.354Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T20:55:08.954Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T20:55:10.060Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T20:55:11.200Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T20:55:12.806Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T20:55:12.806Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T20:55:12.806Z] The best model improves the baseline by 14.34%. [2026-01-18T20:55:13.128Z] Top recommended movies for user id 72: [2026-01-18T20:55:13.128Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T20:55:13.128Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T20:55:13.128Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T20:55:13.128Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T20:55:13.128Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T20:55:13.128Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (14696.780 ms) ====== [2026-01-18T20:55:13.128Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-18T20:55:13.128Z] GC before operation: completed in 121.101 ms, heap usage 437.461 MB -> 89.201 MB. [2026-01-18T20:55:15.349Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T20:55:17.609Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T20:55:20.475Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T20:55:22.694Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T20:55:23.801Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T20:55:25.404Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T20:55:26.510Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T20:55:28.123Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T20:55:28.123Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T20:55:28.123Z] The best model improves the baseline by 14.34%. [2026-01-18T20:55:28.440Z] Top recommended movies for user id 72: [2026-01-18T20:55:28.440Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T20:55:28.440Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T20:55:28.440Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T20:55:28.440Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T20:55:28.440Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T20:55:28.440Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15008.910 ms) ====== [2026-01-18T20:55:28.440Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-18T20:55:28.440Z] GC before operation: completed in 118.497 ms, heap usage 210.140 MB -> 88.669 MB. [2026-01-18T20:55:30.622Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T20:55:32.803Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T20:55:35.043Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T20:55:37.231Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T20:55:38.355Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T20:55:39.953Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T20:55:41.057Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T20:55:42.658Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T20:55:42.658Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T20:55:42.971Z] The best model improves the baseline by 14.34%. [2026-01-18T20:55:42.971Z] Top recommended movies for user id 72: [2026-01-18T20:55:42.971Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T20:55:42.971Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T20:55:42.971Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T20:55:42.971Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T20:55:42.971Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T20:55:42.971Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14577.557 ms) ====== [2026-01-18T20:55:42.971Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-18T20:55:42.971Z] GC before operation: completed in 122.540 ms, heap usage 223.177 MB -> 89.001 MB. [2026-01-18T20:55:45.867Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T20:55:47.466Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T20:55:49.647Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T20:55:52.514Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T20:55:53.614Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T20:55:54.787Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T20:55:55.957Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T20:55:57.553Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T20:55:57.553Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T20:55:57.553Z] The best model improves the baseline by 14.34%. [2026-01-18T20:55:57.553Z] Top recommended movies for user id 72: [2026-01-18T20:55:57.553Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T20:55:57.553Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T20:55:57.553Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T20:55:57.553Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T20:55:57.553Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T20:55:57.553Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14565.029 ms) ====== [2026-01-18T20:55:57.553Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-18T20:55:57.874Z] GC before operation: completed in 121.771 ms, heap usage 414.727 MB -> 89.090 MB. [2026-01-18T20:56:00.062Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T20:56:02.254Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T20:56:04.438Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T20:56:06.624Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T20:56:07.737Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T20:56:09.336Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T20:56:10.436Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T20:56:12.034Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T20:56:12.034Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T20:56:12.034Z] The best model improves the baseline by 14.34%. [2026-01-18T20:56:12.352Z] Top recommended movies for user id 72: [2026-01-18T20:56:12.352Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T20:56:12.352Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T20:56:12.352Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T20:56:12.352Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T20:56:12.352Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T20:56:12.352Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14496.346 ms) ====== [2026-01-18T20:56:12.352Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-18T20:56:12.352Z] GC before operation: completed in 119.407 ms, heap usage 116.848 MB -> 91.904 MB. [2026-01-18T20:56:14.538Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T20:56:16.788Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T20:56:18.977Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T20:56:21.167Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T20:56:22.269Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T20:56:23.375Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T20:56:24.479Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T20:56:26.079Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T20:56:26.079Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T20:56:26.079Z] The best model improves the baseline by 14.34%. [2026-01-18T20:56:26.396Z] Top recommended movies for user id 72: [2026-01-18T20:56:26.396Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T20:56:26.396Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T20:56:26.396Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T20:56:26.396Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T20:56:26.396Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T20:56:26.396Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (13901.152 ms) ====== [2026-01-18T20:56:26.396Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-18T20:56:26.396Z] GC before operation: completed in 123.417 ms, heap usage 734.585 MB -> 93.223 MB. [2026-01-18T20:56:28.581Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T20:56:30.759Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T20:56:32.938Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T20:56:34.540Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T20:56:36.132Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T20:56:37.293Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T20:56:38.390Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T20:56:39.488Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T20:56:39.804Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T20:56:39.804Z] The best model improves the baseline by 14.34%. [2026-01-18T20:56:39.804Z] Top recommended movies for user id 72: [2026-01-18T20:56:39.804Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T20:56:39.804Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T20:56:39.804Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T20:56:39.804Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T20:56:39.804Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T20:56:39.804Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (13457.610 ms) ====== [2026-01-18T20:56:39.804Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-18T20:56:40.116Z] GC before operation: completed in 121.571 ms, heap usage 442.787 MB -> 89.334 MB. [2026-01-18T20:56:42.291Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T20:56:44.464Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T20:56:46.661Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T20:56:48.260Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T20:56:49.858Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T20:56:50.954Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T20:56:52.546Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T20:56:53.650Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T20:56:53.650Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T20:56:53.650Z] The best model improves the baseline by 14.34%. [2026-01-18T20:56:53.964Z] Top recommended movies for user id 72: [2026-01-18T20:56:53.964Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T20:56:53.964Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T20:56:53.964Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T20:56:53.964Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T20:56:53.964Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T20:56:53.964Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (13883.321 ms) ====== [2026-01-18T20:56:53.964Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-18T20:56:53.964Z] GC before operation: completed in 123.458 ms, heap usage 212.676 MB -> 89.098 MB. [2026-01-18T20:56:56.212Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T20:56:58.392Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T20:57:00.567Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T20:57:02.163Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T20:57:03.772Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T20:57:04.873Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T20:57:06.472Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T20:57:07.576Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T20:57:07.892Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T20:57:07.892Z] The best model improves the baseline by 14.34%. [2026-01-18T20:57:07.892Z] Top recommended movies for user id 72: [2026-01-18T20:57:07.892Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T20:57:07.892Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T20:57:07.892Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T20:57:07.892Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T20:57:07.892Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T20:57:07.892Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (13846.035 ms) ====== [2026-01-18T20:57:07.892Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-18T20:57:07.892Z] GC before operation: completed in 122.733 ms, heap usage 413.962 MB -> 89.152 MB. [2026-01-18T20:57:10.764Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T20:57:12.362Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T20:57:14.545Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T20:57:16.726Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T20:57:17.899Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T20:57:19.008Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T20:57:20.612Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T20:57:21.719Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T20:57:21.720Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T20:57:21.720Z] The best model improves the baseline by 14.34%. [2026-01-18T20:57:22.034Z] Top recommended movies for user id 72: [2026-01-18T20:57:22.034Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T20:57:22.034Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T20:57:22.034Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T20:57:22.034Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T20:57:22.034Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T20:57:22.034Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (13932.550 ms) ====== [2026-01-18T20:57:22.034Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-18T20:57:22.034Z] GC before operation: completed in 195.110 ms, heap usage 414.798 MB -> 89.456 MB. [2026-01-18T20:57:24.221Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T20:57:26.427Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T20:57:28.615Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T20:57:30.225Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T20:57:31.830Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T20:57:32.937Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T20:57:34.078Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T20:57:35.183Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T20:57:35.498Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T20:57:35.498Z] The best model improves the baseline by 14.34%. [2026-01-18T20:57:35.811Z] Top recommended movies for user id 72: [2026-01-18T20:57:35.811Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T20:57:35.811Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T20:57:35.811Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T20:57:35.811Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T20:57:35.811Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T20:57:35.811Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (13593.870 ms) ====== [2026-01-18T20:57:35.811Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-18T20:57:35.811Z] GC before operation: completed in 114.870 ms, heap usage 394.626 MB -> 89.354 MB. [2026-01-18T20:57:38.039Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T20:57:40.223Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T20:57:42.413Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T20:57:44.011Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T20:57:45.116Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T20:57:46.214Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T20:57:47.826Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T20:57:48.927Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T20:57:49.242Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T20:57:49.242Z] The best model improves the baseline by 14.34%. [2026-01-18T20:57:49.242Z] Top recommended movies for user id 72: [2026-01-18T20:57:49.242Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T20:57:49.242Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T20:57:49.242Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T20:57:49.242Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T20:57:49.242Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T20:57:49.242Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (13387.596 ms) ====== [2026-01-18T20:57:49.242Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-18T20:57:49.242Z] GC before operation: completed in 119.157 ms, heap usage 360.218 MB -> 89.323 MB. [2026-01-18T20:57:51.431Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T20:57:53.613Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T20:57:55.796Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T20:57:57.982Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T20:57:59.088Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T20:58:00.191Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T20:58:01.792Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T20:58:02.899Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T20:58:02.899Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T20:58:02.899Z] The best model improves the baseline by 14.34%. [2026-01-18T20:58:02.899Z] Top recommended movies for user id 72: [2026-01-18T20:58:02.899Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T20:58:02.899Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T20:58:02.899Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T20:58:02.899Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T20:58:02.899Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T20:58:02.899Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (13696.137 ms) ====== [2026-01-18T20:58:02.899Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-18T20:58:03.237Z] GC before operation: completed in 129.538 ms, heap usage 585.816 MB -> 92.669 MB. [2026-01-18T20:58:05.421Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T20:58:07.027Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T20:58:09.214Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T20:58:11.394Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T20:58:12.496Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T20:58:13.600Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T20:58:14.706Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T20:58:16.309Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T20:58:16.309Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T20:58:16.309Z] The best model improves the baseline by 14.34%. [2026-01-18T20:58:16.309Z] Top recommended movies for user id 72: [2026-01-18T20:58:16.309Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T20:58:16.309Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T20:58:16.309Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T20:58:16.309Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T20:58:16.309Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T20:58:16.309Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (13275.773 ms) ====== [2026-01-18T20:58:16.309Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-18T20:58:16.623Z] GC before operation: completed in 115.392 ms, heap usage 180.827 MB -> 88.869 MB. [2026-01-18T20:58:18.298Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T20:58:20.487Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T20:58:22.670Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T20:58:24.267Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T20:58:25.871Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T20:58:26.975Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T20:58:28.580Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T20:58:29.292Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T20:58:29.606Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T20:58:29.606Z] The best model improves the baseline by 14.34%. [2026-01-18T20:58:29.921Z] Top recommended movies for user id 72: [2026-01-18T20:58:29.921Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T20:58:29.921Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T20:58:29.921Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T20:58:29.921Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T20:58:29.921Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T20:58:29.921Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (13257.677 ms) ====== [2026-01-18T20:58:30.232Z] ----------------------------------- [2026-01-18T20:58:30.232Z] renaissance-movie-lens_0_PASSED [2026-01-18T20:58:30.232Z] ----------------------------------- [2026-01-18T20:58:30.232Z] [2026-01-18T20:58:30.232Z] TEST TEARDOWN: [2026-01-18T20:58:30.232Z] Nothing to be done for teardown. [2026-01-18T20:58:30.232Z] renaissance-movie-lens_0 Finish Time: Sun Jan 18 20:58:30 2026 Epoch Time (ms): 1768769910172