[2026-01-17T13:26:45.082Z] Running test renaissance-movie-lens_0 ... [2026-01-17T13:26:45.082Z] =============================================== [2026-01-17T13:26:45.082Z] renaissance-movie-lens_0 Start Time: Sat Jan 17 13:26:44 2026 Epoch Time (ms): 1768656404763 [2026-01-17T13:26:45.082Z] variation: NoOptions [2026-01-17T13:26:45.082Z] JVM_OPTIONS: [2026-01-17T13:26:45.082Z] { \ [2026-01-17T13:26:45.082Z] echo ""; echo "TEST SETUP:"; \ [2026-01-17T13:26:45.082Z] echo "Nothing to be done for setup."; \ [2026-01-17T13:26:45.082Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17686552075163/renaissance-movie-lens_0"; \ [2026-01-17T13:26:45.082Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17686552075163/renaissance-movie-lens_0"; \ [2026-01-17T13:26:45.082Z] echo ""; echo "TESTING:"; \ [2026-01-17T13:26:45.082Z] "/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_17686552075163/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-17T13:26:45.082Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17686552075163/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-17T13:26:45.082Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-17T13:26:45.082Z] echo "Nothing to be done for teardown."; \ [2026-01-17T13:26:45.082Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17686552075163/TestTargetResult"; [2026-01-17T13:26:45.082Z] [2026-01-17T13:26:45.082Z] TEST SETUP: [2026-01-17T13:26:45.082Z] Nothing to be done for setup. [2026-01-17T13:26:45.082Z] [2026-01-17T13:26:45.082Z] TESTING: [2026-01-17T13:26:45.425Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-17T13:26:45.425Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/output_17686552075163/renaissance-movie-lens_0/launcher-132644-1522292714685242001/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-17T13:26:45.425Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-17T13:26:45.425Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-17T13:26:52.805Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-01-17T13:27:00.176Z] 13:26:59.040 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. [2026-01-17T13:27:02.497Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-17T13:27:03.233Z] Training: 60056, validation: 20285, test: 19854 [2026-01-17T13:27:03.233Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-17T13:27:03.576Z] GC before operation: completed in 166.242 ms, heap usage 287.676 MB -> 75.395 MB. [2026-01-17T13:27:12.603Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:27:18.625Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:27:23.566Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:27:27.423Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:27:29.747Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:27:32.063Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:27:35.080Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:27:36.788Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:27:36.788Z] 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. [2026-01-17T13:27:36.788Z] The best model improves the baseline by 14.34%. [2026-01-17T13:27:37.127Z] Top recommended movies for user id 72: [2026-01-17T13:27:37.127Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T13:27:37.127Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T13:27:37.127Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T13:27:37.127Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T13:27:37.127Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T13:27:37.468Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (33747.752 ms) ====== [2026-01-17T13:27:37.468Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-17T13:27:37.468Z] GC before operation: completed in 174.639 ms, heap usage 148.359 MB -> 89.308 MB. [2026-01-17T13:27:40.486Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:27:43.508Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:27:46.624Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:27:48.929Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:27:50.107Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:27:51.812Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:27:53.510Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:27:55.271Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:27:55.271Z] 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. [2026-01-17T13:27:55.609Z] The best model improves the baseline by 14.34%. [2026-01-17T13:27:55.609Z] Top recommended movies for user id 72: [2026-01-17T13:27:55.609Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T13:27:55.609Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T13:27:55.609Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T13:27:55.609Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T13:27:55.609Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T13:27:55.609Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18175.126 ms) ====== [2026-01-17T13:27:55.609Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-17T13:27:55.949Z] GC before operation: completed in 166.411 ms, heap usage 394.792 MB -> 87.839 MB. [2026-01-17T13:27:58.964Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:28:01.281Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:28:04.352Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:28:06.663Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:28:08.360Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:28:09.539Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:28:11.246Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:28:12.955Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:28:13.295Z] 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. [2026-01-17T13:28:13.295Z] The best model improves the baseline by 14.34%. [2026-01-17T13:28:13.295Z] Top recommended movies for user id 72: [2026-01-17T13:28:13.295Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T13:28:13.295Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T13:28:13.295Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T13:28:13.295Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T13:28:13.295Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T13:28:13.295Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17540.260 ms) ====== [2026-01-17T13:28:13.295Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-17T13:28:13.634Z] GC before operation: completed in 176.609 ms, heap usage 452.278 MB -> 91.701 MB. [2026-01-17T13:28:15.943Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:28:18.255Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:28:21.276Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:28:23.583Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:28:24.771Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:28:26.469Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:28:27.655Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:28:29.465Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:28:29.465Z] 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. [2026-01-17T13:28:29.465Z] The best model improves the baseline by 14.34%. [2026-01-17T13:28:29.810Z] Top recommended movies for user id 72: [2026-01-17T13:28:29.810Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T13:28:29.810Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T13:28:29.810Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T13:28:29.810Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T13:28:29.810Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T13:28:29.810Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16125.515 ms) ====== [2026-01-17T13:28:29.810Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-17T13:28:29.810Z] GC before operation: completed in 172.262 ms, heap usage 311.897 MB -> 88.548 MB. [2026-01-17T13:28:32.829Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:28:35.137Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:28:37.448Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:28:39.761Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:28:41.465Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:28:42.651Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:28:44.352Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:28:46.050Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:28:46.051Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-17T13:28:46.051Z] The best model improves the baseline by 14.34%. [2026-01-17T13:28:46.051Z] Top recommended movies for user id 72: [2026-01-17T13:28:46.051Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T13:28:46.051Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T13:28:46.051Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T13:28:46.051Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T13:28:46.051Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T13:28:46.051Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16372.821 ms) ====== [2026-01-17T13:28:46.051Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-17T13:28:46.390Z] GC before operation: completed in 160.117 ms, heap usage 419.075 MB -> 88.737 MB. [2026-01-17T13:28:49.415Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:28:51.719Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:28:54.115Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:28:56.425Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:28:57.626Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:28:59.327Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:29:00.504Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:29:02.203Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:29:02.203Z] 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. [2026-01-17T13:29:02.203Z] The best model improves the baseline by 14.34%. [2026-01-17T13:29:02.542Z] Top recommended movies for user id 72: [2026-01-17T13:29:02.542Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T13:29:02.542Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T13:29:02.542Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T13:29:02.542Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T13:29:02.543Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T13:29:02.543Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16142.222 ms) ====== [2026-01-17T13:29:02.543Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-17T13:29:02.543Z] GC before operation: completed in 153.912 ms, heap usage 168.896 MB -> 88.687 MB. [2026-01-17T13:29:04.851Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:29:07.868Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:29:10.186Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:29:12.499Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:29:14.221Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:29:15.500Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:29:17.211Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:29:18.391Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:29:18.730Z] 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. [2026-01-17T13:29:18.730Z] The best model improves the baseline by 14.34%. [2026-01-17T13:29:18.730Z] Top recommended movies for user id 72: [2026-01-17T13:29:18.730Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T13:29:18.730Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T13:29:18.730Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T13:29:18.730Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T13:29:18.730Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T13:29:18.730Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16106.894 ms) ====== [2026-01-17T13:29:18.730Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-17T13:29:19.072Z] GC before operation: completed in 168.165 ms, heap usage 116.330 MB -> 90.031 MB. [2026-01-17T13:29:21.401Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:29:23.709Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:29:26.008Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:29:28.307Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:29:30.084Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:29:31.264Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:29:32.960Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:29:34.139Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:29:34.477Z] 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. [2026-01-17T13:29:34.477Z] The best model improves the baseline by 14.34%. [2026-01-17T13:29:34.477Z] Top recommended movies for user id 72: [2026-01-17T13:29:34.477Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T13:29:34.477Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T13:29:34.477Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T13:29:34.477Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T13:29:34.477Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T13:29:34.477Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15702.662 ms) ====== [2026-01-17T13:29:34.477Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-17T13:29:34.821Z] GC before operation: completed in 166.339 ms, heap usage 730.741 MB -> 93.477 MB. [2026-01-17T13:29:37.124Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:29:39.446Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:29:41.747Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:29:44.051Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:29:45.744Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:29:46.926Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:29:48.620Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:29:49.800Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:29:50.139Z] 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. [2026-01-17T13:29:50.139Z] The best model improves the baseline by 14.34%. [2026-01-17T13:29:50.477Z] Top recommended movies for user id 72: [2026-01-17T13:29:50.477Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T13:29:50.477Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T13:29:50.477Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T13:29:50.477Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T13:29:50.477Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T13:29:50.477Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15540.156 ms) ====== [2026-01-17T13:29:50.477Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-17T13:29:50.477Z] GC before operation: completed in 156.779 ms, heap usage 363.791 MB -> 89.073 MB. [2026-01-17T13:29:52.791Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:29:55.811Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:29:58.115Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:30:00.534Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:30:02.270Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:30:04.031Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:30:05.736Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:30:07.440Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:30:07.783Z] 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. [2026-01-17T13:30:07.783Z] The best model improves the baseline by 14.34%. [2026-01-17T13:30:07.784Z] Top recommended movies for user id 72: [2026-01-17T13:30:07.784Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T13:30:07.784Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T13:30:07.784Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T13:30:07.784Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T13:30:07.784Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T13:30:07.784Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (17363.105 ms) ====== [2026-01-17T13:30:07.784Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-17T13:30:08.125Z] GC before operation: completed in 150.824 ms, heap usage 289.027 MB -> 89.106 MB. [2026-01-17T13:30:10.425Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:30:13.442Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:30:15.750Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:30:18.056Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:30:19.764Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:30:21.472Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:30:23.273Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:30:24.974Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:30:24.974Z] 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. [2026-01-17T13:30:24.974Z] The best model improves the baseline by 14.34%. [2026-01-17T13:30:25.313Z] Top recommended movies for user id 72: [2026-01-17T13:30:25.314Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T13:30:25.314Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T13:30:25.314Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T13:30:25.314Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T13:30:25.314Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T13:30:25.314Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (17238.051 ms) ====== [2026-01-17T13:30:25.314Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-17T13:30:25.314Z] GC before operation: completed in 159.564 ms, heap usage 307.177 MB -> 89.015 MB. [2026-01-17T13:30:27.625Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:30:30.647Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:30:32.447Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:30:34.758Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:30:35.939Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:30:37.639Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:30:39.337Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:30:40.516Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:30:40.516Z] 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. [2026-01-17T13:30:40.516Z] The best model improves the baseline by 14.34%. [2026-01-17T13:30:40.856Z] Top recommended movies for user id 72: [2026-01-17T13:30:40.856Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T13:30:40.856Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T13:30:40.856Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T13:30:40.856Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T13:30:40.856Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T13:30:40.856Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15342.949 ms) ====== [2026-01-17T13:30:40.856Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-17T13:30:40.856Z] GC before operation: completed in 157.378 ms, heap usage 588.470 MB -> 92.858 MB. [2026-01-17T13:30:43.876Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:30:45.587Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:30:47.909Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:30:50.224Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:30:51.928Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:30:53.111Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:30:54.813Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:30:55.996Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:30:56.334Z] 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. [2026-01-17T13:30:56.334Z] The best model improves the baseline by 14.34%. [2026-01-17T13:30:56.674Z] Top recommended movies for user id 72: [2026-01-17T13:30:56.674Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T13:30:56.674Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T13:30:56.674Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T13:30:56.674Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T13:30:56.674Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T13:30:56.674Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15608.221 ms) ====== [2026-01-17T13:30:56.674Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-17T13:30:56.674Z] GC before operation: completed in 154.021 ms, heap usage 366.982 MB -> 89.346 MB. [2026-01-17T13:30:58.985Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:31:01.295Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:31:03.608Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:31:05.919Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:31:07.179Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:31:08.357Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:31:10.057Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:31:11.235Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:31:11.235Z] 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. [2026-01-17T13:31:11.235Z] The best model improves the baseline by 14.34%. [2026-01-17T13:31:11.575Z] Top recommended movies for user id 72: [2026-01-17T13:31:11.575Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T13:31:11.575Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T13:31:11.575Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T13:31:11.575Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T13:31:11.575Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T13:31:11.575Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14824.379 ms) ====== [2026-01-17T13:31:11.575Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-17T13:31:11.575Z] GC before operation: completed in 154.375 ms, heap usage 219.755 MB -> 88.872 MB. [2026-01-17T13:31:13.888Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:31:16.201Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:31:18.505Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:31:20.818Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:31:21.994Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:31:23.175Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:31:24.353Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:31:26.051Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:31:26.051Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-17T13:31:26.051Z] The best model improves the baseline by 14.34%. [2026-01-17T13:31:26.051Z] Top recommended movies for user id 72: [2026-01-17T13:31:26.051Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T13:31:26.051Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T13:31:26.051Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T13:31:26.051Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T13:31:26.051Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T13:31:26.051Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14553.910 ms) ====== [2026-01-17T13:31:26.051Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-17T13:31:26.393Z] GC before operation: completed in 154.916 ms, heap usage 434.119 MB -> 89.551 MB. [2026-01-17T13:31:28.785Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:31:31.096Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:31:33.409Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:31:35.127Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:31:36.825Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:31:38.005Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:31:39.705Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:31:40.884Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:31:40.884Z] 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. [2026-01-17T13:31:40.884Z] The best model improves the baseline by 14.34%. [2026-01-17T13:31:41.226Z] Top recommended movies for user id 72: [2026-01-17T13:31:41.226Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T13:31:41.226Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T13:31:41.226Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T13:31:41.226Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T13:31:41.226Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T13:31:41.226Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14786.588 ms) ====== [2026-01-17T13:31:41.226Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-17T13:31:41.226Z] GC before operation: completed in 155.305 ms, heap usage 414.935 MB -> 89.340 MB. [2026-01-17T13:31:43.616Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:31:45.924Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:31:48.232Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:31:50.064Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:31:51.763Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:31:52.942Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:31:54.122Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:31:55.856Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:31:55.856Z] 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. [2026-01-17T13:31:55.856Z] The best model improves the baseline by 14.34%. [2026-01-17T13:31:55.856Z] Top recommended movies for user id 72: [2026-01-17T13:31:55.856Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T13:31:55.856Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T13:31:55.856Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T13:31:55.856Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T13:31:55.856Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T13:31:55.856Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14683.677 ms) ====== [2026-01-17T13:31:55.856Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-17T13:31:56.199Z] GC before operation: completed in 152.385 ms, heap usage 244.505 MB -> 89.118 MB. [2026-01-17T13:31:58.504Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:32:00.808Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:32:03.109Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:32:04.813Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:32:06.514Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:32:08.215Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:32:09.918Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:32:11.622Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:32:11.622Z] 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. [2026-01-17T13:32:11.622Z] The best model improves the baseline by 14.34%. [2026-01-17T13:32:11.962Z] Top recommended movies for user id 72: [2026-01-17T13:32:11.962Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T13:32:11.962Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T13:32:11.962Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T13:32:11.962Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T13:32:11.962Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T13:32:11.962Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15751.610 ms) ====== [2026-01-17T13:32:11.962Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-17T13:32:11.962Z] GC before operation: completed in 151.791 ms, heap usage 453.935 MB -> 92.437 MB. [2026-01-17T13:32:14.980Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:32:17.291Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:32:20.312Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:32:22.628Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:32:23.812Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:32:25.513Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:32:27.215Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:32:28.394Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:32:28.732Z] 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. [2026-01-17T13:32:28.732Z] The best model improves the baseline by 14.34%. [2026-01-17T13:32:29.072Z] Top recommended movies for user id 72: [2026-01-17T13:32:29.072Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T13:32:29.072Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T13:32:29.072Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T13:32:29.072Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T13:32:29.072Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T13:32:29.072Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (16942.284 ms) ====== [2026-01-17T13:32:29.072Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-17T13:32:29.072Z] GC before operation: completed in 148.773 ms, heap usage 251.398 MB -> 89.028 MB. [2026-01-17T13:32:32.099Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T13:32:34.430Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T13:32:36.740Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T13:32:39.051Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T13:32:40.749Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T13:32:41.930Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T13:32:43.629Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T13:32:45.336Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T13:32:45.336Z] 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. [2026-01-17T13:32:45.336Z] The best model improves the baseline by 14.34%. [2026-01-17T13:32:45.336Z] Top recommended movies for user id 72: [2026-01-17T13:32:45.336Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T13:32:45.336Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T13:32:45.336Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T13:32:45.336Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T13:32:45.336Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T13:32:45.336Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (16321.704 ms) ====== [2026-01-17T13:32:46.071Z] ----------------------------------- [2026-01-17T13:32:46.071Z] renaissance-movie-lens_0_PASSED [2026-01-17T13:32:46.071Z] ----------------------------------- [2026-01-17T13:32:46.071Z] [2026-01-17T13:32:46.071Z] TEST TEARDOWN: [2026-01-17T13:32:46.071Z] Nothing to be done for teardown. [2026-01-17T13:32:46.071Z] renaissance-movie-lens_0 Finish Time: Sat Jan 17 13:32:45 2026 Epoch Time (ms): 1768656765743