[2026-03-05T22:45:48.996Z] Running test renaissance-movie-lens_0 ... [2026-03-05T22:45:48.996Z] =============================================== [2026-03-05T22:45:48.996Z] renaissance-movie-lens_0 Start Time: Thu Mar 5 22:45:48 2026 Epoch Time (ms): 1772750748959 [2026-03-05T22:45:48.996Z] variation: NoOptions [2026-03-05T22:45:48.996Z] JVM_OPTIONS: [2026-03-05T22:45:48.996Z] { \ [2026-03-05T22:45:48.996Z] echo ""; echo "TEST SETUP:"; \ [2026-03-05T22:45:48.996Z] echo "Nothing to be done for setup."; \ [2026-03-05T22:45:48.996Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17727495825198/renaissance-movie-lens_0"; \ [2026-03-05T22:45:48.996Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17727495825198/renaissance-movie-lens_0"; \ [2026-03-05T22:45:48.996Z] echo ""; echo "TESTING:"; \ [2026-03-05T22:45:48.996Z] "/home/jenkins/workspace/Test_openjdk25_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_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17727495825198/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-05T22:45:48.996Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17727495825198/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-05T22:45:48.996Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-05T22:45:48.996Z] echo "Nothing to be done for teardown."; \ [2026-03-05T22:45:48.996Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17727495825198/TestTargetResult"; [2026-03-05T22:45:48.996Z] [2026-03-05T22:45:48.996Z] TEST SETUP: [2026-03-05T22:45:48.996Z] Nothing to be done for setup. [2026-03-05T22:45:48.996Z] [2026-03-05T22:45:48.996Z] TESTING: [2026-03-05T22:45:49.725Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-03-05T22:45:49.726Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/output_17727495825198/renaissance-movie-lens_0/launcher-224549-3269279911632206535/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-03-05T22:45:49.726Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-03-05T22:45:49.726Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-03-05T22:45:54.572Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-03-05T22:46:03.604Z] 22:46:02.394 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-03-05T22:46:05.926Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-05T22:46:06.269Z] Training: 60056, validation: 20285, test: 19854 [2026-03-05T22:46:06.269Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-05T22:46:06.615Z] GC before operation: completed in 183.677 ms, heap usage 343.533 MB -> 75.486 MB. [2026-03-05T22:46:15.768Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:46:19.628Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:46:25.653Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:46:29.508Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:46:31.882Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:46:34.203Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:46:35.904Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:46:38.244Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:46:38.244Z] 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. [2026-03-05T22:46:38.244Z] The best model improves the baseline by 14.34%. [2026-03-05T22:46:38.585Z] Top recommended movies for user id 72: [2026-03-05T22:46:38.585Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T22:46:38.585Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T22:46:38.585Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T22:46:38.585Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T22:46:38.585Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T22:46:38.585Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (32002.569 ms) ====== [2026-03-05T22:46:38.585Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-05T22:46:38.585Z] GC before operation: completed in 186.633 ms, heap usage 215.743 MB -> 91.132 MB. [2026-03-05T22:46:41.655Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:46:44.673Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:46:48.613Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:46:50.318Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:46:52.017Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:46:53.719Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:46:55.425Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:46:57.129Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:46:57.468Z] 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. [2026-03-05T22:46:57.468Z] The best model improves the baseline by 14.34%. [2026-03-05T22:46:57.808Z] Top recommended movies for user id 72: [2026-03-05T22:46:57.808Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T22:46:57.808Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T22:46:57.808Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T22:46:57.808Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T22:46:57.808Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T22:46:57.808Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18952.199 ms) ====== [2026-03-05T22:46:57.808Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-05T22:46:57.808Z] GC before operation: completed in 169.635 ms, heap usage 249.527 MB -> 87.562 MB. [2026-03-05T22:47:00.828Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:47:03.153Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:47:06.175Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:47:08.503Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:47:11.456Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:47:11.794Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:47:14.816Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:47:15.997Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:47:16.336Z] 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. [2026-03-05T22:47:16.336Z] The best model improves the baseline by 14.34%. [2026-03-05T22:47:16.336Z] Top recommended movies for user id 72: [2026-03-05T22:47:16.336Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T22:47:16.336Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T22:47:16.336Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T22:47:16.336Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T22:47:16.336Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T22:47:16.336Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (18533.878 ms) ====== [2026-03-05T22:47:16.336Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-05T22:47:16.674Z] GC before operation: completed in 176.332 ms, heap usage 193.537 MB -> 88.154 MB. [2026-03-05T22:47:19.792Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:47:22.093Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:47:24.404Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:47:26.709Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:47:28.408Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:47:30.107Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:47:31.804Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:47:33.507Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:47:33.507Z] 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. [2026-03-05T22:47:33.507Z] The best model improves the baseline by 14.34%. [2026-03-05T22:47:33.846Z] Top recommended movies for user id 72: [2026-03-05T22:47:33.846Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T22:47:33.846Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T22:47:33.846Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T22:47:33.846Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T22:47:33.846Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T22:47:33.846Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (17147.512 ms) ====== [2026-03-05T22:47:33.846Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-05T22:47:33.846Z] GC before operation: completed in 162.326 ms, heap usage 115.901 MB -> 88.323 MB. [2026-03-05T22:47:36.869Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:47:39.261Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:47:41.741Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:47:44.776Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:47:45.962Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:47:47.666Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:47:48.847Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:47:50.552Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:47:50.894Z] 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. [2026-03-05T22:47:50.894Z] The best model improves the baseline by 14.34%. [2026-03-05T22:47:50.894Z] Top recommended movies for user id 72: [2026-03-05T22:47:50.894Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T22:47:50.894Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T22:47:50.894Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T22:47:50.894Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T22:47:50.894Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T22:47:50.894Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (17034.751 ms) ====== [2026-03-05T22:47:50.894Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-05T22:47:51.235Z] GC before operation: completed in 180.613 ms, heap usage 157.539 MB -> 88.415 MB. [2026-03-05T22:47:53.603Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:47:56.633Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:47:58.950Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:48:01.262Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:48:03.059Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:48:04.333Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:48:05.514Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:48:07.218Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:48:07.560Z] 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. [2026-03-05T22:48:07.560Z] The best model improves the baseline by 14.34%. [2026-03-05T22:48:07.560Z] Top recommended movies for user id 72: [2026-03-05T22:48:07.560Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T22:48:07.560Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T22:48:07.560Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T22:48:07.560Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T22:48:07.560Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T22:48:07.560Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16484.224 ms) ====== [2026-03-05T22:48:07.560Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-05T22:48:07.899Z] GC before operation: completed in 167.210 ms, heap usage 245.206 MB -> 88.822 MB. [2026-03-05T22:48:10.280Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:48:12.598Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:48:15.620Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:48:18.647Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:48:19.824Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:48:21.529Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:48:23.236Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:48:24.985Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:48:25.324Z] 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. [2026-03-05T22:48:25.324Z] The best model improves the baseline by 14.34%. [2026-03-05T22:48:25.324Z] Top recommended movies for user id 72: [2026-03-05T22:48:25.324Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T22:48:25.324Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T22:48:25.324Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T22:48:25.324Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T22:48:25.324Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T22:48:25.324Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (17631.029 ms) ====== [2026-03-05T22:48:25.324Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-05T22:48:25.671Z] GC before operation: completed in 153.569 ms, heap usage 399.683 MB -> 89.073 MB. [2026-03-05T22:48:27.985Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:48:30.292Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:48:33.310Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:48:35.025Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:48:36.723Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:48:38.426Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:48:40.132Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:48:41.310Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:48:41.650Z] 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. [2026-03-05T22:48:41.650Z] The best model improves the baseline by 14.34%. [2026-03-05T22:48:41.650Z] Top recommended movies for user id 72: [2026-03-05T22:48:41.650Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T22:48:41.650Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T22:48:41.650Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T22:48:41.650Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T22:48:41.650Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T22:48:41.650Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (16119.223 ms) ====== [2026-03-05T22:48:41.650Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-05T22:48:41.989Z] GC before operation: completed in 161.131 ms, heap usage 508.214 MB -> 92.740 MB. [2026-03-05T22:48:44.300Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:48:46.607Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:48:49.011Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:48:51.315Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:48:53.016Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:48:54.194Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:48:55.895Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:48:57.079Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:48:57.417Z] 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. [2026-03-05T22:48:57.417Z] The best model improves the baseline by 14.34%. [2026-03-05T22:48:57.758Z] Top recommended movies for user id 72: [2026-03-05T22:48:57.758Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T22:48:57.758Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T22:48:57.758Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T22:48:57.758Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T22:48:57.758Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T22:48:57.758Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15798.414 ms) ====== [2026-03-05T22:48:57.758Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-05T22:48:57.758Z] GC before operation: completed in 158.825 ms, heap usage 604.807 MB -> 92.622 MB. [2026-03-05T22:49:00.779Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:49:03.111Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:49:05.421Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:49:07.731Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:49:08.906Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:49:10.176Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:49:11.877Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:49:13.057Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:49:13.399Z] 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. [2026-03-05T22:49:13.399Z] The best model improves the baseline by 14.34%. [2026-03-05T22:49:13.737Z] Top recommended movies for user id 72: [2026-03-05T22:49:13.738Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T22:49:13.738Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T22:49:13.738Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T22:49:13.738Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T22:49:13.738Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T22:49:13.738Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15825.328 ms) ====== [2026-03-05T22:49:13.738Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-05T22:49:13.738Z] GC before operation: completed in 155.088 ms, heap usage 311.850 MB -> 89.149 MB. [2026-03-05T22:49:16.857Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:49:19.167Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:49:21.538Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:49:23.844Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:49:25.026Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:49:26.730Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:49:28.431Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:49:29.607Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:49:29.607Z] 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. [2026-03-05T22:49:29.946Z] The best model improves the baseline by 14.34%. [2026-03-05T22:49:29.946Z] Top recommended movies for user id 72: [2026-03-05T22:49:29.946Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T22:49:29.946Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T22:49:29.946Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T22:49:29.946Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T22:49:29.946Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T22:49:29.946Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (16122.658 ms) ====== [2026-03-05T22:49:29.946Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-05T22:49:29.946Z] GC before operation: completed in 161.610 ms, heap usage 730.537 MB -> 93.290 MB. [2026-03-05T22:49:32.335Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:49:34.651Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:49:37.670Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:49:39.375Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:49:41.078Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:49:42.259Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:49:43.960Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:49:45.660Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:49:45.660Z] 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. [2026-03-05T22:49:45.660Z] The best model improves the baseline by 14.34%. [2026-03-05T22:49:45.660Z] Top recommended movies for user id 72: [2026-03-05T22:49:45.660Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T22:49:45.660Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T22:49:45.660Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T22:49:45.660Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T22:49:45.660Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T22:49:45.660Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15720.532 ms) ====== [2026-03-05T22:49:45.660Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-05T22:49:46.000Z] GC before operation: completed in 154.898 ms, heap usage 417.847 MB -> 89.333 MB. [2026-03-05T22:49:48.313Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:49:50.622Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:49:53.722Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:49:55.505Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:49:56.691Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:49:58.389Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:49:59.569Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:50:01.267Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:50:01.267Z] 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. [2026-03-05T22:50:01.267Z] The best model improves the baseline by 14.34%. [2026-03-05T22:50:01.607Z] Top recommended movies for user id 72: [2026-03-05T22:50:01.607Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T22:50:01.607Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T22:50:01.607Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T22:50:01.607Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T22:50:01.607Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T22:50:01.607Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15529.516 ms) ====== [2026-03-05T22:50:01.607Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-05T22:50:01.607Z] GC before operation: completed in 155.372 ms, heap usage 401.268 MB -> 89.468 MB. [2026-03-05T22:50:03.970Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:50:06.279Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:50:09.367Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:50:11.675Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:50:13.378Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:50:14.557Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:50:16.332Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:50:17.598Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:50:17.598Z] 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. [2026-03-05T22:50:17.598Z] The best model improves the baseline by 14.34%. [2026-03-05T22:50:17.941Z] Top recommended movies for user id 72: [2026-03-05T22:50:17.941Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T22:50:17.941Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T22:50:17.941Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T22:50:17.941Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T22:50:17.941Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T22:50:17.941Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (16256.024 ms) ====== [2026-03-05T22:50:17.941Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-05T22:50:17.941Z] GC before operation: completed in 152.683 ms, heap usage 210.416 MB -> 88.855 MB. [2026-03-05T22:50:20.965Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:50:22.666Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:50:25.697Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:50:27.401Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:50:29.101Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:50:30.283Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:50:32.058Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:50:33.242Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:50:33.242Z] 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. [2026-03-05T22:50:33.242Z] The best model improves the baseline by 14.34%. [2026-03-05T22:50:33.580Z] Top recommended movies for user id 72: [2026-03-05T22:50:33.580Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T22:50:33.580Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T22:50:33.580Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T22:50:33.580Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T22:50:33.580Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T22:50:33.580Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15402.889 ms) ====== [2026-03-05T22:50:33.580Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-05T22:50:33.580Z] GC before operation: completed in 161.875 ms, heap usage 636.382 MB -> 92.939 MB. [2026-03-05T22:50:35.894Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:50:38.205Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:50:40.598Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:50:42.908Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:50:44.605Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:50:45.784Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:50:47.525Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:50:48.701Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:50:48.701Z] 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. [2026-03-05T22:50:48.701Z] The best model improves the baseline by 14.34%. [2026-03-05T22:50:49.041Z] Top recommended movies for user id 72: [2026-03-05T22:50:49.041Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T22:50:49.041Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T22:50:49.041Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T22:50:49.041Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T22:50:49.041Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T22:50:49.041Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15391.009 ms) ====== [2026-03-05T22:50:49.041Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-05T22:50:49.041Z] GC before operation: completed in 150.290 ms, heap usage 149.962 MB -> 88.902 MB. [2026-03-05T22:50:51.412Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:50:53.723Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:50:56.752Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:50:58.459Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:50:59.648Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:51:01.344Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:51:02.609Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:51:03.794Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:51:04.135Z] 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. [2026-03-05T22:51:04.135Z] The best model improves the baseline by 14.34%. [2026-03-05T22:51:04.538Z] Top recommended movies for user id 72: [2026-03-05T22:51:04.538Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T22:51:04.538Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T22:51:04.538Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T22:51:04.538Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T22:51:04.538Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T22:51:04.538Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15244.851 ms) ====== [2026-03-05T22:51:04.539Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-05T22:51:04.539Z] GC before operation: completed in 153.026 ms, heap usage 214.366 MB -> 89.013 MB. [2026-03-05T22:51:06.849Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:51:09.167Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:51:12.192Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:51:13.897Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:51:15.600Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:51:16.792Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:51:18.493Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:51:19.688Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:51:20.029Z] 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. [2026-03-05T22:51:20.029Z] The best model improves the baseline by 14.34%. [2026-03-05T22:51:20.378Z] Top recommended movies for user id 72: [2026-03-05T22:51:20.378Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T22:51:20.378Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T22:51:20.378Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T22:51:20.378Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T22:51:20.378Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T22:51:20.378Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15665.609 ms) ====== [2026-03-05T22:51:20.378Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-05T22:51:20.378Z] GC before operation: completed in 153.520 ms, heap usage 221.056 MB -> 88.894 MB. [2026-03-05T22:51:22.698Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:51:25.046Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:51:27.382Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:51:29.756Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:51:30.963Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:51:32.662Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:51:33.848Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:51:35.548Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:51:35.549Z] 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. [2026-03-05T22:51:35.549Z] The best model improves the baseline by 14.34%. [2026-03-05T22:51:35.891Z] Top recommended movies for user id 72: [2026-03-05T22:51:35.891Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T22:51:35.891Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T22:51:35.891Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T22:51:35.891Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T22:51:35.891Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T22:51:35.891Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15420.009 ms) ====== [2026-03-05T22:51:35.891Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-05T22:51:35.891Z] GC before operation: completed in 152.909 ms, heap usage 219.947 MB -> 88.977 MB. [2026-03-05T22:51:38.199Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T22:51:40.510Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T22:51:42.821Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T22:51:45.132Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T22:51:46.369Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T22:51:48.065Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T22:51:49.269Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T22:51:50.970Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T22:51:50.970Z] 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. [2026-03-05T22:51:50.970Z] The best model improves the baseline by 14.34%. [2026-03-05T22:51:50.970Z] Top recommended movies for user id 72: [2026-03-05T22:51:50.970Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T22:51:50.970Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T22:51:50.970Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T22:51:50.970Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T22:51:50.970Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T22:51:50.970Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15153.926 ms) ====== [2026-03-05T22:51:51.699Z] ----------------------------------- [2026-03-05T22:51:51.699Z] renaissance-movie-lens_0_PASSED [2026-03-05T22:51:51.699Z] ----------------------------------- [2026-03-05T22:51:51.699Z] [2026-03-05T22:51:51.699Z] TEST TEARDOWN: [2026-03-05T22:51:51.699Z] Nothing to be done for teardown. [2026-03-05T22:51:51.699Z] renaissance-movie-lens_0 Finish Time: Thu Mar 5 22:51:51 2026 Epoch Time (ms): 1772751111313