[2026-02-12T09:05:00.895Z] Running test renaissance-movie-lens_0 ... [2026-02-12T09:05:00.895Z] =============================================== [2026-02-12T09:05:00.895Z] renaissance-movie-lens_0 Start Time: Thu Feb 12 09:05:00 2026 Epoch Time (ms): 1770887100593 [2026-02-12T09:05:00.895Z] variation: NoOptions [2026-02-12T09:05:00.895Z] JVM_OPTIONS: [2026-02-12T09:05:00.895Z] { \ [2026-02-12T09:05:00.895Z] echo ""; echo "TEST SETUP:"; \ [2026-02-12T09:05:00.895Z] echo "Nothing to be done for setup."; \ [2026-02-12T09:05:00.895Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17708863368793/renaissance-movie-lens_0"; \ [2026-02-12T09:05:00.895Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17708863368793/renaissance-movie-lens_0"; \ [2026-02-12T09:05:00.895Z] echo ""; echo "TESTING:"; \ [2026-02-12T09:05:00.895Z] "/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_17708863368793/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-12T09:05:00.895Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17708863368793/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-12T09:05:00.895Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-12T09:05:00.895Z] echo "Nothing to be done for teardown."; \ [2026-02-12T09:05:00.895Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17708863368793/TestTargetResult"; [2026-02-12T09:05:00.895Z] [2026-02-12T09:05:00.895Z] TEST SETUP: [2026-02-12T09:05:00.895Z] Nothing to be done for setup. [2026-02-12T09:05:00.895Z] [2026-02-12T09:05:00.895Z] TESTING: [2026-02-12T09:05:01.226Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-12T09:05:01.226Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/output_17708863368793/renaissance-movie-lens_0/launcher-090500-10197504468424470443/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-12T09:05:01.226Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-12T09:05:01.226Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-12T09:05:05.012Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-12T09:05:10.929Z] 09:05:10.596 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. [2026-02-12T09:05:13.199Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-12T09:05:13.531Z] Training: 60056, validation: 20285, test: 19854 [2026-02-12T09:05:13.531Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-12T09:05:13.531Z] GC before operation: completed in 128.616 ms, heap usage 446.844 MB -> 75.668 MB. [2026-02-12T09:05:19.468Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T09:05:22.519Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T09:05:25.525Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T09:05:28.486Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T09:05:29.638Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T09:05:31.363Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T09:05:33.036Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T09:05:34.189Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T09:05:34.519Z] 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. [2026-02-12T09:05:34.519Z] The best model improves the baseline by 14.52%. [2026-02-12T09:05:34.851Z] Top recommended movies for user id 72: [2026-02-12T09:05:34.851Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T09:05:34.851Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T09:05:34.851Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T09:05:34.851Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T09:05:34.851Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T09:05:34.851Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (21316.292 ms) ====== [2026-02-12T09:05:34.851Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-12T09:05:35.242Z] GC before operation: completed in 148.469 ms, heap usage 302.549 MB -> 86.525 MB. [2026-02-12T09:05:37.507Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T09:05:40.481Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T09:05:42.743Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T09:05:44.997Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T09:05:46.661Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T09:05:47.809Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T09:05:49.475Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T09:05:51.148Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T09:05:51.479Z] 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. [2026-02-12T09:05:51.479Z] The best model improves the baseline by 14.52%. [2026-02-12T09:05:51.479Z] Top recommended movies for user id 72: [2026-02-12T09:05:51.479Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T09:05:51.479Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T09:05:51.479Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T09:05:51.479Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T09:05:51.479Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T09:05:51.479Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16555.478 ms) ====== [2026-02-12T09:05:51.479Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-12T09:05:51.838Z] GC before operation: completed in 141.285 ms, heap usage 553.227 MB -> 92.207 MB. [2026-02-12T09:05:54.111Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T09:05:56.438Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T09:05:58.704Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T09:06:00.374Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T09:06:02.038Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T09:06:03.194Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T09:06:04.345Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T09:06:05.496Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T09:06:05.838Z] 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. [2026-02-12T09:06:05.838Z] The best model improves the baseline by 14.52%. [2026-02-12T09:06:05.838Z] Top recommended movies for user id 72: [2026-02-12T09:06:05.838Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T09:06:05.838Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T09:06:05.838Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T09:06:05.838Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T09:06:05.838Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T09:06:05.838Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (14155.749 ms) ====== [2026-02-12T09:06:05.838Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-12T09:06:06.172Z] GC before operation: completed in 131.820 ms, heap usage 446.563 MB -> 89.397 MB. [2026-02-12T09:06:08.436Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T09:06:10.098Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T09:06:12.363Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T09:06:14.626Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T09:06:15.781Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T09:06:16.930Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T09:06:18.592Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T09:06:19.825Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T09:06:20.176Z] 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. [2026-02-12T09:06:20.177Z] The best model improves the baseline by 14.52%. [2026-02-12T09:06:20.177Z] Top recommended movies for user id 72: [2026-02-12T09:06:20.177Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T09:06:20.177Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T09:06:20.177Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T09:06:20.177Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T09:06:20.177Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T09:06:20.177Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (14222.340 ms) ====== [2026-02-12T09:06:20.177Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-12T09:06:20.511Z] GC before operation: completed in 119.857 ms, heap usage 225.336 MB -> 89.420 MB. [2026-02-12T09:06:22.766Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T09:06:25.725Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T09:06:27.444Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T09:06:29.706Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T09:06:30.858Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T09:06:32.524Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T09:06:33.678Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T09:06:34.830Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T09:06:35.161Z] 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. [2026-02-12T09:06:35.161Z] The best model improves the baseline by 14.52%. [2026-02-12T09:06:35.161Z] Top recommended movies for user id 72: [2026-02-12T09:06:35.161Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T09:06:35.161Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T09:06:35.162Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T09:06:35.162Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T09:06:35.162Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T09:06:35.162Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (14902.838 ms) ====== [2026-02-12T09:06:35.162Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-12T09:06:35.491Z] GC before operation: completed in 154.252 ms, heap usage 356.480 MB -> 89.767 MB. [2026-02-12T09:06:37.768Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T09:06:39.430Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T09:06:41.092Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T09:06:43.353Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T09:06:44.510Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T09:06:45.677Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T09:06:46.865Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T09:06:48.060Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T09:06:48.060Z] 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. [2026-02-12T09:06:48.397Z] The best model improves the baseline by 14.52%. [2026-02-12T09:06:48.397Z] Top recommended movies for user id 72: [2026-02-12T09:06:48.397Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T09:06:48.397Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T09:06:48.397Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T09:06:48.397Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T09:06:48.397Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T09:06:48.397Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (12932.173 ms) ====== [2026-02-12T09:06:48.397Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-12T09:06:48.397Z] GC before operation: completed in 121.002 ms, heap usage 124.020 MB -> 89.704 MB. [2026-02-12T09:06:50.755Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T09:06:52.418Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T09:06:54.688Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T09:06:56.949Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T09:06:57.660Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T09:06:59.321Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T09:07:00.475Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T09:07:01.627Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T09:07:01.627Z] 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. [2026-02-12T09:07:01.960Z] The best model improves the baseline by 14.52%. [2026-02-12T09:07:01.960Z] Top recommended movies for user id 72: [2026-02-12T09:07:01.960Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T09:07:01.960Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T09:07:01.960Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T09:07:01.960Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T09:07:01.960Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T09:07:01.960Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (13415.699 ms) ====== [2026-02-12T09:07:01.960Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-12T09:07:01.960Z] GC before operation: completed in 129.131 ms, heap usage 351.547 MB -> 89.948 MB. [2026-02-12T09:07:04.220Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T09:07:05.881Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T09:07:08.146Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T09:07:09.807Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T09:07:10.963Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T09:07:12.632Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T09:07:13.785Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T09:07:14.944Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T09:07:14.944Z] 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. [2026-02-12T09:07:14.944Z] The best model improves the baseline by 14.52%. [2026-02-12T09:07:15.354Z] Top recommended movies for user id 72: [2026-02-12T09:07:15.354Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T09:07:15.354Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T09:07:15.354Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T09:07:15.354Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T09:07:15.354Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T09:07:15.354Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (13139.831 ms) ====== [2026-02-12T09:07:15.354Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-12T09:07:15.354Z] GC before operation: completed in 114.761 ms, heap usage 404.148 MB -> 90.347 MB. [2026-02-12T09:07:17.016Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T09:07:19.297Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T09:07:20.974Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T09:07:22.659Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T09:07:23.383Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T09:07:24.536Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T09:07:25.691Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T09:07:26.840Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T09:07:27.170Z] 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. [2026-02-12T09:07:27.170Z] The best model improves the baseline by 14.52%. [2026-02-12T09:07:27.170Z] Top recommended movies for user id 72: [2026-02-12T09:07:27.170Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T09:07:27.170Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T09:07:27.170Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T09:07:27.170Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T09:07:27.170Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T09:07:27.170Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (11884.914 ms) ====== [2026-02-12T09:07:27.170Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-12T09:07:27.170Z] GC before operation: completed in 132.162 ms, heap usage 674.283 MB -> 93.617 MB. [2026-02-12T09:07:29.433Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T09:07:31.100Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T09:07:32.767Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T09:07:35.033Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T09:07:35.744Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T09:07:36.897Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T09:07:38.561Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T09:07:39.712Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T09:07:39.712Z] 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. [2026-02-12T09:07:39.712Z] The best model improves the baseline by 14.52%. [2026-02-12T09:07:40.043Z] Top recommended movies for user id 72: [2026-02-12T09:07:40.043Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T09:07:40.043Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T09:07:40.043Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T09:07:40.043Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T09:07:40.043Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T09:07:40.043Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (12576.471 ms) ====== [2026-02-12T09:07:40.043Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-12T09:07:40.043Z] GC before operation: completed in 109.646 ms, heap usage 104.121 MB -> 93.408 MB. [2026-02-12T09:07:41.789Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T09:07:44.048Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T09:07:46.306Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T09:07:47.973Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T09:07:49.137Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T09:07:50.289Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T09:07:51.442Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T09:07:52.595Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T09:07:52.926Z] 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. [2026-02-12T09:07:52.926Z] The best model improves the baseline by 14.52%. [2026-02-12T09:07:52.926Z] Top recommended movies for user id 72: [2026-02-12T09:07:52.926Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T09:07:52.926Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T09:07:52.926Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T09:07:52.926Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T09:07:52.926Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T09:07:52.926Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (13076.209 ms) ====== [2026-02-12T09:07:52.926Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-12T09:07:53.257Z] GC before operation: completed in 122.362 ms, heap usage 373.145 MB -> 89.929 MB. [2026-02-12T09:07:54.955Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T09:07:57.225Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T09:07:59.492Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T09:08:01.159Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T09:08:02.312Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T09:08:03.463Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T09:08:04.614Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T09:08:05.768Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T09:08:05.768Z] 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. [2026-02-12T09:08:05.768Z] The best model improves the baseline by 14.52%. [2026-02-12T09:08:06.098Z] Top recommended movies for user id 72: [2026-02-12T09:08:06.099Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T09:08:06.099Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T09:08:06.099Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T09:08:06.099Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T09:08:06.099Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T09:08:06.099Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (12770.128 ms) ====== [2026-02-12T09:08:06.099Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-12T09:08:06.099Z] GC before operation: completed in 134.532 ms, heap usage 203.790 MB -> 89.893 MB. [2026-02-12T09:08:07.779Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T09:08:10.125Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T09:08:11.790Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T09:08:13.496Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T09:08:14.650Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T09:08:15.806Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T09:08:16.965Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T09:08:18.120Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T09:08:18.453Z] 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. [2026-02-12T09:08:18.453Z] The best model improves the baseline by 14.52%. [2026-02-12T09:08:18.453Z] Top recommended movies for user id 72: [2026-02-12T09:08:18.453Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T09:08:18.791Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T09:08:18.791Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T09:08:18.791Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T09:08:18.791Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T09:08:18.792Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (12517.806 ms) ====== [2026-02-12T09:08:18.792Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-12T09:08:18.792Z] GC before operation: completed in 105.316 ms, heap usage 366.129 MB -> 90.215 MB. [2026-02-12T09:08:21.054Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T09:08:22.727Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T09:08:25.003Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T09:08:26.682Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T09:08:27.836Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T09:08:28.988Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T09:08:30.141Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T09:08:31.296Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T09:08:31.627Z] 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. [2026-02-12T09:08:31.627Z] The best model improves the baseline by 14.52%. [2026-02-12T09:08:31.627Z] Top recommended movies for user id 72: [2026-02-12T09:08:31.627Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T09:08:31.627Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T09:08:31.627Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T09:08:31.627Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T09:08:31.627Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T09:08:31.627Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (12923.884 ms) ====== [2026-02-12T09:08:31.627Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-12T09:08:31.627Z] GC before operation: completed in 116.097 ms, heap usage 389.646 MB -> 89.935 MB. [2026-02-12T09:08:33.898Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T09:08:35.646Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T09:08:37.315Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T09:08:39.579Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T09:08:40.739Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T09:08:41.891Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T09:08:43.044Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T09:08:44.198Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T09:08:44.198Z] 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. [2026-02-12T09:08:44.198Z] The best model improves the baseline by 14.52%. [2026-02-12T09:08:44.529Z] Top recommended movies for user id 72: [2026-02-12T09:08:44.529Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T09:08:44.529Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T09:08:44.529Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T09:08:44.529Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T09:08:44.529Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T09:08:44.529Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (12651.270 ms) ====== [2026-02-12T09:08:44.529Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-12T09:08:44.529Z] GC before operation: completed in 133.784 ms, heap usage 501.496 MB -> 90.359 MB. [2026-02-12T09:08:46.798Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T09:08:48.462Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T09:08:50.722Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T09:08:52.387Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T09:08:53.556Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T09:08:54.273Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T09:08:55.935Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T09:08:56.651Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T09:08:56.981Z] 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. [2026-02-12T09:08:56.981Z] The best model improves the baseline by 14.52%. [2026-02-12T09:08:56.981Z] Top recommended movies for user id 72: [2026-02-12T09:08:56.981Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T09:08:56.981Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T09:08:56.981Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T09:08:56.981Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T09:08:56.981Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T09:08:56.981Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (12556.435 ms) ====== [2026-02-12T09:08:56.981Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-12T09:08:57.311Z] GC before operation: completed in 129.716 ms, heap usage 179.391 MB -> 89.808 MB. [2026-02-12T09:08:59.593Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T09:09:01.256Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T09:09:03.622Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T09:09:05.287Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T09:09:06.440Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T09:09:07.593Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T09:09:08.754Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T09:09:09.904Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T09:09:10.234Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T09:09:10.234Z] The best model improves the baseline by 14.52%. [2026-02-12T09:09:10.234Z] Top recommended movies for user id 72: [2026-02-12T09:09:10.234Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T09:09:10.234Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T09:09:10.234Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T09:09:10.234Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T09:09:10.234Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T09:09:10.234Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (13068.023 ms) ====== [2026-02-12T09:09:10.234Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-12T09:09:10.564Z] GC before operation: completed in 116.992 ms, heap usage 292.297 MB -> 90.093 MB. [2026-02-12T09:09:12.226Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T09:09:14.503Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T09:09:16.175Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T09:09:18.444Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T09:09:19.158Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T09:09:20.309Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T09:09:21.972Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T09:09:22.694Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T09:09:23.025Z] 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. [2026-02-12T09:09:23.025Z] The best model improves the baseline by 14.52%. [2026-02-12T09:09:23.025Z] Top recommended movies for user id 72: [2026-02-12T09:09:23.025Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T09:09:23.025Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T09:09:23.025Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T09:09:23.025Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T09:09:23.025Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T09:09:23.025Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (12694.038 ms) ====== [2026-02-12T09:09:23.025Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-12T09:09:23.356Z] GC before operation: completed in 125.990 ms, heap usage 178.082 MB -> 89.700 MB. [2026-02-12T09:09:25.016Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T09:09:26.678Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T09:09:28.993Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T09:09:30.223Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T09:09:31.373Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T09:09:32.524Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T09:09:33.690Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T09:09:34.839Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T09:09:34.839Z] 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. [2026-02-12T09:09:34.839Z] The best model improves the baseline by 14.52%. [2026-02-12T09:09:35.170Z] Top recommended movies for user id 72: [2026-02-12T09:09:35.170Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T09:09:35.170Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T09:09:35.170Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T09:09:35.170Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T09:09:35.170Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T09:09:35.170Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (11871.713 ms) ====== [2026-02-12T09:09:35.170Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-12T09:09:35.170Z] GC before operation: completed in 130.465 ms, heap usage 123.959 MB -> 92.943 MB. [2026-02-12T09:09:37.430Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T09:09:39.092Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T09:09:40.758Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T09:09:42.426Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T09:09:43.580Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T09:09:44.737Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T09:09:45.892Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T09:09:47.048Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T09:09:47.048Z] 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. [2026-02-12T09:09:47.380Z] The best model improves the baseline by 14.52%. [2026-02-12T09:09:47.380Z] Top recommended movies for user id 72: [2026-02-12T09:09:47.380Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T09:09:47.380Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T09:09:47.380Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T09:09:47.380Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T09:09:47.380Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T09:09:47.380Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (12107.000 ms) ====== [2026-02-12T09:09:48.091Z] ----------------------------------- [2026-02-12T09:09:48.091Z] renaissance-movie-lens_0_PASSED [2026-02-12T09:09:48.091Z] ----------------------------------- [2026-02-12T09:09:48.091Z] [2026-02-12T09:09:48.091Z] TEST TEARDOWN: [2026-02-12T09:09:48.091Z] Nothing to be done for teardown. [2026-02-12T09:09:48.091Z] renaissance-movie-lens_0 Finish Time: Thu Feb 12 09:09:47 2026 Epoch Time (ms): 1770887387939