[2026-01-24T14:52:49.398Z] Running test renaissance-movie-lens_0 ... [2026-01-24T14:52:49.398Z] =============================================== [2026-01-24T14:52:49.398Z] renaissance-movie-lens_0 Start Time: Sat Jan 24 14:52:48 2026 Epoch Time (ms): 1769266368652 [2026-01-24T14:52:49.398Z] variation: NoOptions [2026-01-24T14:52:49.398Z] JVM_OPTIONS: [2026-01-24T14:52:49.398Z] { \ [2026-01-24T14:52:49.398Z] echo ""; echo "TEST SETUP:"; \ [2026-01-24T14:52:49.398Z] echo "Nothing to be done for setup."; \ [2026-01-24T14:52:49.398Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17692648058318/renaissance-movie-lens_0"; \ [2026-01-24T14:52:49.398Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17692648058318/renaissance-movie-lens_0"; \ [2026-01-24T14:52:49.398Z] echo ""; echo "TESTING:"; \ [2026-01-24T14:52:49.398Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-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_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17692648058318/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-24T14:52:49.398Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17692648058318/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-24T14:52:49.398Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-24T14:52:49.398Z] echo "Nothing to be done for teardown."; \ [2026-01-24T14:52:49.398Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17692648058318/TestTargetResult"; [2026-01-24T14:52:49.398Z] [2026-01-24T14:52:49.398Z] TEST SETUP: [2026-01-24T14:52:49.398Z] Nothing to be done for setup. [2026-01-24T14:52:49.398Z] [2026-01-24T14:52:49.398Z] TESTING: [2026-01-24T14:52:50.145Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-24T14:52:50.145Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/output_17692648058318/renaissance-movie-lens_0/launcher-145248-16222561186939610840/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-24T14:52:50.145Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-24T14:52:50.145Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-24T14:52:58.607Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-24T14:53:15.689Z] 14:53:15.573 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-24T14:53:21.169Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-24T14:53:21.920Z] Training: 60056, validation: 20285, test: 19854 [2026-01-24T14:53:21.920Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-24T14:53:22.680Z] GC before operation: completed in 433.850 ms, heap usage 371.356 MB -> 75.712 MB. [2026-01-24T14:53:38.581Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:53:48.326Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:53:56.971Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:54:03.708Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:54:07.060Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:54:11.423Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:54:15.768Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:54:19.112Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:54:19.859Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-24T14:54:19.859Z] The best model improves the baseline by 14.52%. [2026-01-24T14:54:20.610Z] Top recommended movies for user id 72: [2026-01-24T14:54:20.610Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T14:54:20.610Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T14:54:20.610Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T14:54:20.610Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T14:54:20.610Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T14:54:20.610Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (57577.338 ms) ====== [2026-01-24T14:54:20.610Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-24T14:54:20.610Z] GC before operation: completed in 357.709 ms, heap usage 619.734 MB -> 92.383 MB. [2026-01-24T14:54:27.330Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:54:34.045Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:54:42.134Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:54:47.612Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:54:51.066Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:54:54.894Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:54:58.240Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:55:01.598Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:55:01.598Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-24T14:55:01.598Z] The best model improves the baseline by 14.52%. [2026-01-24T14:55:02.450Z] Top recommended movies for user id 72: [2026-01-24T14:55:02.450Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T14:55:02.450Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T14:55:02.450Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T14:55:02.450Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T14:55:02.450Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T14:55:02.450Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (41557.035 ms) ====== [2026-01-24T14:55:02.450Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-24T14:55:02.450Z] GC before operation: completed in 248.928 ms, heap usage 233.039 MB -> 88.423 MB. [2026-01-24T14:55:07.893Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:55:14.562Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:55:20.002Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:55:25.505Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:55:29.845Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:55:33.168Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:55:36.524Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:55:38.923Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:55:39.668Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-24T14:55:39.668Z] The best model improves the baseline by 14.52%. [2026-01-24T14:55:40.421Z] Top recommended movies for user id 72: [2026-01-24T14:55:40.421Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T14:55:40.421Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T14:55:40.421Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T14:55:40.421Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T14:55:40.421Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T14:55:40.421Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (37628.072 ms) ====== [2026-01-24T14:55:40.421Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-24T14:55:40.421Z] GC before operation: completed in 289.634 ms, heap usage 270.457 MB -> 89.228 MB. [2026-01-24T14:55:45.898Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:55:51.452Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:55:55.846Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:56:01.314Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:56:04.688Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:56:08.045Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:56:11.405Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:56:14.748Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:56:15.489Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-24T14:56:15.489Z] The best model improves the baseline by 14.52%. [2026-01-24T14:56:15.489Z] Top recommended movies for user id 72: [2026-01-24T14:56:15.489Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T14:56:15.489Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T14:56:15.489Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T14:56:15.489Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T14:56:15.489Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T14:56:15.489Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (35196.152 ms) ====== [2026-01-24T14:56:15.489Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-24T14:56:16.235Z] GC before operation: completed in 268.390 ms, heap usage 138.712 MB -> 89.346 MB. [2026-01-24T14:56:21.718Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:56:27.231Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:56:32.678Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:56:38.109Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:56:40.514Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:56:44.315Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:56:46.741Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:56:50.095Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:56:50.842Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-24T14:56:50.842Z] The best model improves the baseline by 14.52%. [2026-01-24T14:56:50.842Z] Top recommended movies for user id 72: [2026-01-24T14:56:50.842Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T14:56:50.842Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T14:56:50.842Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T14:56:50.842Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T14:56:50.842Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T14:56:50.842Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (35209.865 ms) ====== [2026-01-24T14:56:50.842Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-24T14:56:51.593Z] GC before operation: completed in 326.022 ms, heap usage 493.963 MB -> 89.878 MB. [2026-01-24T14:56:57.171Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:57:02.647Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:57:08.135Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:57:13.605Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:57:16.078Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:57:19.406Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:57:22.757Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:57:26.100Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:57:26.100Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-24T14:57:26.100Z] The best model improves the baseline by 14.52%. [2026-01-24T14:57:26.839Z] Top recommended movies for user id 72: [2026-01-24T14:57:26.839Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T14:57:26.839Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T14:57:26.839Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T14:57:26.839Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T14:57:26.839Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T14:57:26.839Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (35111.000 ms) ====== [2026-01-24T14:57:26.839Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-24T14:57:26.839Z] GC before operation: completed in 267.425 ms, heap usage 280.843 MB -> 89.852 MB. [2026-01-24T14:57:32.285Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:57:36.615Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:57:42.575Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:57:48.028Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:57:50.496Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:57:53.821Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:57:57.244Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:58:00.593Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:58:01.353Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-24T14:58:01.353Z] The best model improves the baseline by 14.52%. [2026-01-24T14:58:02.102Z] Top recommended movies for user id 72: [2026-01-24T14:58:02.102Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T14:58:02.102Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T14:58:02.102Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T14:58:02.102Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T14:58:02.102Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T14:58:02.102Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (35143.985 ms) ====== [2026-01-24T14:58:02.102Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-24T14:58:02.102Z] GC before operation: completed in 321.643 ms, heap usage 102.859 MB -> 91.180 MB. [2026-01-24T14:58:08.789Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:58:13.182Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:58:19.871Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:58:24.203Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:58:26.670Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:58:29.062Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:58:32.802Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:58:35.209Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:58:35.209Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-24T14:58:35.209Z] The best model improves the baseline by 14.52%. [2026-01-24T14:58:35.209Z] Top recommended movies for user id 72: [2026-01-24T14:58:35.209Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T14:58:35.209Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T14:58:35.209Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T14:58:35.209Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T14:58:35.209Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T14:58:35.209Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (33259.992 ms) ====== [2026-01-24T14:58:35.209Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-24T14:58:35.958Z] GC before operation: completed in 201.866 ms, heap usage 124.126 MB -> 92.066 MB. [2026-01-24T14:58:41.437Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:58:45.826Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:58:51.306Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:58:56.827Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:59:00.167Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:59:02.603Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:59:05.939Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:59:09.279Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:59:09.279Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-24T14:59:09.279Z] The best model improves the baseline by 14.52%. [2026-01-24T14:59:10.035Z] Top recommended movies for user id 72: [2026-01-24T14:59:10.036Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T14:59:10.036Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T14:59:10.036Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T14:59:10.036Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T14:59:10.036Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T14:59:10.036Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (34179.927 ms) ====== [2026-01-24T14:59:10.036Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-24T14:59:10.036Z] GC before operation: completed in 232.702 ms, heap usage 215.060 MB -> 89.947 MB. [2026-01-24T14:59:15.509Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:59:20.975Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:59:26.444Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T14:59:30.279Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T14:59:33.598Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T14:59:36.961Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T14:59:39.363Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T14:59:42.678Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T14:59:42.678Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-24T14:59:42.678Z] The best model improves the baseline by 14.52%. [2026-01-24T14:59:43.425Z] Top recommended movies for user id 72: [2026-01-24T14:59:43.425Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T14:59:43.425Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T14:59:43.425Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T14:59:43.425Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T14:59:43.425Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T14:59:43.425Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (33321.971 ms) ====== [2026-01-24T14:59:43.425Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-24T14:59:43.425Z] GC before operation: completed in 296.306 ms, heap usage 274.245 MB -> 90.143 MB. [2026-01-24T14:59:48.870Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T14:59:54.339Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T14:59:59.795Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:00:04.185Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:00:06.611Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:00:09.961Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:00:14.308Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:00:17.640Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:00:17.640Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-24T15:00:17.640Z] The best model improves the baseline by 14.52%. [2026-01-24T15:00:18.381Z] Top recommended movies for user id 72: [2026-01-24T15:00:18.381Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:00:18.381Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:00:18.381Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:00:18.381Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:00:18.381Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:00:18.381Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (34514.540 ms) ====== [2026-01-24T15:00:18.381Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-24T15:00:18.381Z] GC before operation: completed in 279.785 ms, heap usage 382.362 MB -> 89.885 MB. [2026-01-24T15:00:23.229Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:00:28.694Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:00:34.203Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:00:39.649Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:00:42.993Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:00:45.392Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:00:48.838Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:00:52.160Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:00:52.160Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-24T15:00:52.160Z] The best model improves the baseline by 14.52%. [2026-01-24T15:00:52.160Z] Top recommended movies for user id 72: [2026-01-24T15:00:52.160Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:00:52.160Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:00:52.160Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:00:52.160Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:00:52.160Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:00:52.160Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (33986.875 ms) ====== [2026-01-24T15:00:52.160Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-24T15:00:52.921Z] GC before operation: completed in 252.569 ms, heap usage 326.881 MB -> 90.204 MB. [2026-01-24T15:00:58.458Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:01:03.983Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:01:09.488Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:01:15.317Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:01:17.839Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:01:21.151Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:01:24.458Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:01:26.837Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:01:27.579Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-24T15:01:27.579Z] The best model improves the baseline by 14.52%. [2026-01-24T15:01:27.579Z] Top recommended movies for user id 72: [2026-01-24T15:01:27.579Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:01:27.579Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:01:27.579Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:01:27.579Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:01:27.579Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:01:27.579Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (35109.975 ms) ====== [2026-01-24T15:01:27.579Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-24T15:01:28.322Z] GC before operation: completed in 239.887 ms, heap usage 368.953 MB -> 90.188 MB. [2026-01-24T15:01:33.782Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:01:39.222Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:01:44.697Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:01:49.052Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:01:52.444Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:01:55.885Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:01:59.201Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:02:01.642Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:02:02.383Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-24T15:02:02.383Z] The best model improves the baseline by 14.52%. [2026-01-24T15:02:03.137Z] Top recommended movies for user id 72: [2026-01-24T15:02:03.137Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:02:03.137Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:02:03.137Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:02:03.137Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:02:03.137Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:02:03.137Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (34665.035 ms) ====== [2026-01-24T15:02:03.137Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-24T15:02:03.137Z] GC before operation: completed in 238.331 ms, heap usage 290.032 MB -> 89.966 MB. [2026-01-24T15:02:09.092Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:02:13.451Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:02:18.934Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:02:24.424Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:02:26.856Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:02:29.247Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:02:32.617Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:02:35.969Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:02:35.969Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-24T15:02:35.969Z] The best model improves the baseline by 14.52%. [2026-01-24T15:02:36.721Z] Top recommended movies for user id 72: [2026-01-24T15:02:36.721Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:02:36.721Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:02:36.721Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:02:36.721Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:02:36.721Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:02:36.721Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (33464.682 ms) ====== [2026-01-24T15:02:36.721Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-24T15:02:36.721Z] GC before operation: completed in 238.286 ms, heap usage 549.464 MB -> 93.755 MB. [2026-01-24T15:02:42.194Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:02:47.656Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:02:53.206Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:02:57.558Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:03:01.169Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:03:03.892Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:03:07.237Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:03:09.672Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:03:10.416Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-24T15:03:10.416Z] The best model improves the baseline by 14.52%. [2026-01-24T15:03:10.416Z] Top recommended movies for user id 72: [2026-01-24T15:03:10.416Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:03:10.416Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:03:10.416Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:03:10.416Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:03:10.416Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:03:10.416Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (33949.014 ms) ====== [2026-01-24T15:03:10.416Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-24T15:03:11.162Z] GC before operation: completed in 231.379 ms, heap usage 627.322 MB -> 93.690 MB. [2026-01-24T15:03:15.548Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:03:21.011Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:03:25.361Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:03:30.808Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:03:33.236Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:03:36.600Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:03:39.077Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:03:42.400Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:03:42.400Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-24T15:03:42.400Z] The best model improves the baseline by 14.52%. [2026-01-24T15:03:43.156Z] Top recommended movies for user id 72: [2026-01-24T15:03:43.156Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:03:43.156Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:03:43.156Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:03:43.156Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:03:43.156Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:03:43.156Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (31939.953 ms) ====== [2026-01-24T15:03:43.156Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-24T15:03:43.156Z] GC before operation: completed in 337.056 ms, heap usage 707.731 MB -> 93.863 MB. [2026-01-24T15:03:48.730Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:03:54.195Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:03:59.025Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:04:03.433Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:04:05.860Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:04:09.307Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:04:11.731Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:04:14.146Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:04:14.899Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-24T15:04:14.900Z] The best model improves the baseline by 14.52%. [2026-01-24T15:04:14.900Z] Top recommended movies for user id 72: [2026-01-24T15:04:14.900Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:04:14.900Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:04:14.900Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:04:14.900Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:04:14.900Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:04:14.900Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (32014.477 ms) ====== [2026-01-24T15:04:14.900Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-24T15:04:15.643Z] GC before operation: completed in 199.711 ms, heap usage 204.809 MB -> 89.837 MB. [2026-01-24T15:04:21.089Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:04:25.614Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:04:30.016Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:04:35.518Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:04:38.907Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:04:42.257Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:04:45.661Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:04:49.061Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:04:49.828Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-24T15:04:49.828Z] The best model improves the baseline by 14.52%. [2026-01-24T15:04:49.828Z] Top recommended movies for user id 72: [2026-01-24T15:04:49.828Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:04:49.828Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:04:49.828Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:04:49.828Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:04:49.828Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:04:49.828Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (34665.267 ms) ====== [2026-01-24T15:04:49.828Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-24T15:04:50.582Z] GC before operation: completed in 389.359 ms, heap usage 214.645 MB -> 90.007 MB. [2026-01-24T15:04:56.107Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:05:01.622Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:05:07.086Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:05:11.476Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:05:14.825Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:05:18.650Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:05:21.054Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:05:23.445Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:05:24.197Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-24T15:05:24.197Z] The best model improves the baseline by 14.52%. [2026-01-24T15:05:24.197Z] Top recommended movies for user id 72: [2026-01-24T15:05:24.197Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:05:24.197Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:05:24.197Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:05:24.197Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:05:24.197Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:05:24.197Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (33864.433 ms) ====== [2026-01-24T15:05:25.787Z] ----------------------------------- [2026-01-24T15:05:25.787Z] renaissance-movie-lens_0_PASSED [2026-01-24T15:05:25.787Z] ----------------------------------- [2026-01-24T15:05:25.787Z] [2026-01-24T15:05:25.787Z] TEST TEARDOWN: [2026-01-24T15:05:25.787Z] Nothing to be done for teardown. [2026-01-24T15:05:25.787Z] renaissance-movie-lens_0 Finish Time: Sat Jan 24 15:05:25 2026 Epoch Time (ms): 1769267125115