[2026-02-14T23:03:25.560Z] Running test renaissance-movie-lens_0 ... [2026-02-14T23:03:25.560Z] =============================================== [2026-02-14T23:03:25.560Z] renaissance-movie-lens_0 Start Time: Sat Feb 14 23:03:24 2026 Epoch Time (ms): 1771110204814 [2026-02-14T23:03:25.560Z] variation: NoOptions [2026-02-14T23:03:25.560Z] JVM_OPTIONS: [2026-02-14T23:03:25.560Z] { \ [2026-02-14T23:03:25.560Z] echo ""; echo "TEST SETUP:"; \ [2026-02-14T23:03:25.560Z] echo "Nothing to be done for setup."; \ [2026-02-14T23:03:25.560Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17711087134704/renaissance-movie-lens_0"; \ [2026-02-14T23:03:25.560Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17711087134704/renaissance-movie-lens_0"; \ [2026-02-14T23:03:25.560Z] echo ""; echo "TESTING:"; \ [2026-02-14T23:03:25.560Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_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_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17711087134704/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-14T23:03:25.560Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17711087134704/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-14T23:03:25.560Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-14T23:03:25.560Z] echo "Nothing to be done for teardown."; \ [2026-02-14T23:03:25.560Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17711087134704/TestTargetResult"; [2026-02-14T23:03:25.560Z] [2026-02-14T23:03:25.560Z] TEST SETUP: [2026-02-14T23:03:25.560Z] Nothing to be done for setup. [2026-02-14T23:03:25.560Z] [2026-02-14T23:03:25.560Z] TESTING: [2026-02-14T23:03:26.535Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-14T23:03:26.535Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/output_17711087134704/renaissance-movie-lens_0/launcher-230325-7569296336613133580/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-14T23:03:26.535Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-14T23:03:26.535Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-14T23:03:34.888Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-14T23:03:45.056Z] 23:03:43.935 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-14T23:03:48.133Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-14T23:03:48.133Z] Training: 60056, validation: 20285, test: 19854 [2026-02-14T23:03:48.133Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-14T23:03:48.133Z] GC before operation: completed in 175.183 ms, heap usage 362.268 MB -> 75.835 MB. [2026-02-14T23:03:58.223Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T23:04:02.496Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T23:04:08.035Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T23:04:12.246Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T23:04:14.233Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T23:04:16.222Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T23:04:19.286Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T23:04:21.266Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T23:04:22.262Z] 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. [2026-02-14T23:04:22.262Z] The best model improves the baseline by 14.52%. [2026-02-14T23:04:22.262Z] Top recommended movies for user id 72: [2026-02-14T23:04:22.262Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T23:04:22.262Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T23:04:22.262Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T23:04:22.262Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T23:04:22.262Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T23:04:22.262Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (33840.045 ms) ====== [2026-02-14T23:04:22.262Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-14T23:04:22.262Z] GC before operation: completed in 180.700 ms, heap usage 180.110 MB -> 89.481 MB. [2026-02-14T23:04:27.089Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T23:04:30.210Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T23:04:34.470Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T23:04:37.606Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T23:04:40.669Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T23:04:42.653Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T23:04:45.754Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T23:04:47.766Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T23:04:47.766Z] 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. [2026-02-14T23:04:47.766Z] The best model improves the baseline by 14.52%. [2026-02-14T23:04:47.766Z] Top recommended movies for user id 72: [2026-02-14T23:04:47.766Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T23:04:47.766Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T23:04:47.766Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T23:04:47.766Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T23:04:47.766Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T23:04:47.766Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (25474.865 ms) ====== [2026-02-14T23:04:47.766Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-14T23:04:48.733Z] GC before operation: completed in 159.892 ms, heap usage 356.277 MB -> 88.729 MB. [2026-02-14T23:04:51.846Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T23:04:56.114Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T23:05:00.341Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T23:05:03.440Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T23:05:05.445Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T23:05:07.427Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T23:05:10.514Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T23:05:12.492Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T23:05:12.492Z] 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. [2026-02-14T23:05:12.492Z] The best model improves the baseline by 14.52%. [2026-02-14T23:05:12.492Z] Top recommended movies for user id 72: [2026-02-14T23:05:12.492Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T23:05:12.492Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T23:05:12.492Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T23:05:12.492Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T23:05:12.492Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T23:05:12.492Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (24329.189 ms) ====== [2026-02-14T23:05:12.492Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-14T23:05:12.492Z] GC before operation: completed in 163.982 ms, heap usage 438.173 MB -> 89.532 MB. [2026-02-14T23:05:16.725Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T23:05:19.811Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T23:05:22.533Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T23:05:25.600Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T23:05:27.587Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T23:05:29.601Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T23:05:31.597Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T23:05:33.589Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T23:05:33.589Z] 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. [2026-02-14T23:05:33.589Z] The best model improves the baseline by 14.52%. [2026-02-14T23:05:34.551Z] Top recommended movies for user id 72: [2026-02-14T23:05:34.552Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T23:05:34.552Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T23:05:34.552Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T23:05:34.552Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T23:05:34.552Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T23:05:34.552Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (21474.828 ms) ====== [2026-02-14T23:05:34.552Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-14T23:05:34.552Z] GC before operation: completed in 172.355 ms, heap usage 514.636 MB -> 90.001 MB. [2026-02-14T23:05:37.680Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T23:05:40.734Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T23:05:44.941Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T23:05:48.295Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T23:05:50.275Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T23:05:52.276Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T23:05:54.286Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T23:05:56.267Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T23:05:57.234Z] 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. [2026-02-14T23:05:57.234Z] The best model improves the baseline by 14.52%. [2026-02-14T23:05:57.234Z] Top recommended movies for user id 72: [2026-02-14T23:05:57.234Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T23:05:57.234Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T23:05:57.234Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T23:05:57.234Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T23:05:57.234Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T23:05:57.234Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (22904.184 ms) ====== [2026-02-14T23:05:57.234Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-14T23:05:57.234Z] GC before operation: completed in 159.033 ms, heap usage 241.217 MB -> 89.574 MB. [2026-02-14T23:06:01.448Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T23:06:04.551Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T23:06:07.644Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T23:06:12.911Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T23:06:13.873Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T23:06:15.856Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T23:06:17.830Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T23:06:19.814Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T23:06:19.814Z] 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. [2026-02-14T23:06:19.814Z] The best model improves the baseline by 14.52%. [2026-02-14T23:06:19.814Z] Top recommended movies for user id 72: [2026-02-14T23:06:19.814Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T23:06:19.814Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T23:06:19.814Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T23:06:19.814Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T23:06:19.814Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T23:06:19.814Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (22756.439 ms) ====== [2026-02-14T23:06:19.814Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-14T23:06:20.777Z] GC before operation: completed in 170.943 ms, heap usage 257.027 MB -> 89.886 MB. [2026-02-14T23:06:24.032Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T23:06:27.112Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T23:06:34.855Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T23:06:34.855Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T23:06:35.823Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T23:06:37.811Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T23:06:39.813Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T23:06:41.820Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T23:06:41.820Z] 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. [2026-02-14T23:06:41.820Z] The best model improves the baseline by 14.52%. [2026-02-14T23:06:41.820Z] Top recommended movies for user id 72: [2026-02-14T23:06:41.820Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T23:06:41.820Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T23:06:41.820Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T23:06:41.820Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T23:06:41.820Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T23:06:41.820Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (21799.109 ms) ====== [2026-02-14T23:06:41.820Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-14T23:06:42.788Z] GC before operation: completed in 165.436 ms, heap usage 101.138 MB -> 89.578 MB. [2026-02-14T23:06:45.847Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T23:06:49.033Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T23:06:52.086Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T23:06:55.139Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T23:06:57.117Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T23:06:59.103Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T23:07:01.101Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T23:07:03.099Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T23:07:03.099Z] 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. [2026-02-14T23:07:03.099Z] The best model improves the baseline by 14.52%. [2026-02-14T23:07:03.099Z] Top recommended movies for user id 72: [2026-02-14T23:07:03.099Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T23:07:03.099Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T23:07:03.099Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T23:07:03.099Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T23:07:03.099Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T23:07:03.099Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (21184.231 ms) ====== [2026-02-14T23:07:03.099Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-14T23:07:04.069Z] GC before operation: completed in 166.915 ms, heap usage 260.119 MB -> 90.072 MB. [2026-02-14T23:07:07.369Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T23:07:10.437Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T23:07:13.712Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T23:07:16.827Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T23:07:18.811Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T23:07:20.796Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T23:07:22.947Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T23:07:23.913Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T23:07:24.878Z] 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. [2026-02-14T23:07:24.878Z] The best model improves the baseline by 14.52%. [2026-02-14T23:07:24.878Z] Top recommended movies for user id 72: [2026-02-14T23:07:24.878Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T23:07:24.878Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T23:07:24.878Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T23:07:24.878Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T23:07:24.878Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T23:07:24.878Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (21333.711 ms) ====== [2026-02-14T23:07:24.878Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-14T23:07:24.878Z] GC before operation: completed in 164.981 ms, heap usage 429.461 MB -> 90.218 MB. [2026-02-14T23:07:29.073Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T23:07:31.048Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T23:07:34.098Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T23:07:37.157Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T23:07:39.185Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T23:07:41.246Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T23:07:42.209Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T23:07:44.203Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T23:07:45.168Z] 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. [2026-02-14T23:07:45.168Z] The best model improves the baseline by 14.52%. [2026-02-14T23:07:45.168Z] Top recommended movies for user id 72: [2026-02-14T23:07:45.168Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T23:07:45.168Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T23:07:45.168Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T23:07:45.168Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T23:07:45.168Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T23:07:45.168Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19928.033 ms) ====== [2026-02-14T23:07:45.168Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-14T23:07:45.168Z] GC before operation: completed in 163.743 ms, heap usage 529.379 MB -> 93.729 MB. [2026-02-14T23:07:49.442Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T23:07:52.489Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T23:07:55.536Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T23:07:58.594Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T23:08:00.570Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T23:08:02.547Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T23:08:04.524Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T23:08:06.524Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T23:08:06.524Z] 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. [2026-02-14T23:08:06.524Z] The best model improves the baseline by 14.52%. [2026-02-14T23:08:06.524Z] Top recommended movies for user id 72: [2026-02-14T23:08:06.524Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T23:08:06.524Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T23:08:06.524Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T23:08:06.524Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T23:08:06.524Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T23:08:06.524Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (21585.321 ms) ====== [2026-02-14T23:08:06.524Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-14T23:08:07.499Z] GC before operation: completed in 160.723 ms, heap usage 285.721 MB -> 89.977 MB. [2026-02-14T23:08:10.598Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T23:08:13.672Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T23:08:16.818Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T23:08:19.913Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T23:08:22.123Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T23:08:24.108Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T23:08:26.120Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T23:08:28.122Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T23:08:29.090Z] 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. [2026-02-14T23:08:29.090Z] The best model improves the baseline by 14.52%. [2026-02-14T23:08:29.090Z] Top recommended movies for user id 72: [2026-02-14T23:08:29.090Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T23:08:29.090Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T23:08:29.090Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T23:08:29.090Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T23:08:29.090Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T23:08:29.090Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (21977.529 ms) ====== [2026-02-14T23:08:29.090Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-14T23:08:29.090Z] GC before operation: completed in 172.891 ms, heap usage 398.300 MB -> 90.390 MB. [2026-02-14T23:08:32.164Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T23:08:35.254Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T23:08:38.310Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T23:08:42.254Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T23:08:43.215Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T23:08:45.193Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T23:08:46.217Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T23:08:48.195Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T23:08:49.159Z] 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. [2026-02-14T23:08:49.159Z] The best model improves the baseline by 14.52%. [2026-02-14T23:08:49.159Z] Top recommended movies for user id 72: [2026-02-14T23:08:49.159Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T23:08:49.159Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T23:08:49.159Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T23:08:49.159Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T23:08:49.159Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T23:08:49.159Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19737.306 ms) ====== [2026-02-14T23:08:49.159Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-14T23:08:49.159Z] GC before operation: completed in 170.263 ms, heap usage 255.630 MB -> 90.290 MB. [2026-02-14T23:08:52.210Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T23:08:55.268Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T23:08:58.318Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T23:09:01.375Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T23:09:03.354Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T23:09:05.330Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T23:09:07.304Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T23:09:09.283Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T23:09:09.283Z] 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. [2026-02-14T23:09:09.283Z] The best model improves the baseline by 14.52%. [2026-02-14T23:09:09.283Z] Top recommended movies for user id 72: [2026-02-14T23:09:09.283Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T23:09:09.283Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T23:09:09.283Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T23:09:09.283Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T23:09:09.283Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T23:09:09.283Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20497.573 ms) ====== [2026-02-14T23:09:09.283Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-14T23:09:10.249Z] GC before operation: completed in 164.265 ms, heap usage 425.279 MB -> 90.318 MB. [2026-02-14T23:09:13.295Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T23:09:16.357Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T23:09:19.412Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T23:09:22.609Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T23:09:24.591Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T23:09:26.573Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T23:09:28.549Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T23:09:30.530Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T23:09:30.530Z] 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. [2026-02-14T23:09:30.530Z] The best model improves the baseline by 14.52%. [2026-02-14T23:09:31.493Z] Top recommended movies for user id 72: [2026-02-14T23:09:31.493Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T23:09:31.493Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T23:09:31.494Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T23:09:31.494Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T23:09:31.494Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T23:09:31.494Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (21479.876 ms) ====== [2026-02-14T23:09:31.494Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-14T23:09:31.494Z] GC before operation: completed in 164.766 ms, heap usage 282.200 MB -> 90.371 MB. [2026-02-14T23:09:34.543Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T23:09:37.602Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T23:09:40.651Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T23:09:43.700Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T23:09:46.389Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T23:09:48.364Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T23:09:50.375Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T23:09:52.355Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T23:09:52.355Z] 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. [2026-02-14T23:09:52.355Z] The best model improves the baseline by 14.52%. [2026-02-14T23:09:52.355Z] Top recommended movies for user id 72: [2026-02-14T23:09:52.355Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T23:09:52.355Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T23:09:52.355Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T23:09:52.355Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T23:09:52.355Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T23:09:52.355Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (21151.964 ms) ====== [2026-02-14T23:09:52.355Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-14T23:09:52.355Z] GC before operation: completed in 162.953 ms, heap usage 360.217 MB -> 90.381 MB. [2026-02-14T23:09:56.557Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T23:09:59.649Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T23:10:01.622Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T23:10:04.672Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T23:10:06.694Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T23:10:07.665Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T23:10:09.656Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T23:10:11.637Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T23:10:11.637Z] 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. [2026-02-14T23:10:11.637Z] The best model improves the baseline by 14.52%. [2026-02-14T23:10:11.637Z] Top recommended movies for user id 72: [2026-02-14T23:10:11.637Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T23:10:11.637Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T23:10:11.637Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T23:10:11.637Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T23:10:11.637Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T23:10:11.637Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19235.949 ms) ====== [2026-02-14T23:10:11.637Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-14T23:10:12.600Z] GC before operation: completed in 172.178 ms, heap usage 590.722 MB -> 94.003 MB. [2026-02-14T23:10:15.653Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T23:10:18.716Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T23:10:20.783Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T23:10:23.829Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T23:10:25.818Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T23:10:27.797Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T23:10:29.774Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T23:10:30.735Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T23:10:31.702Z] 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. [2026-02-14T23:10:31.702Z] The best model improves the baseline by 14.52%. [2026-02-14T23:10:31.702Z] Top recommended movies for user id 72: [2026-02-14T23:10:31.702Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T23:10:31.702Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T23:10:31.702Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T23:10:31.702Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T23:10:31.702Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T23:10:31.702Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19393.101 ms) ====== [2026-02-14T23:10:31.702Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-14T23:10:31.702Z] GC before operation: completed in 163.558 ms, heap usage 361.425 MB -> 90.319 MB. [2026-02-14T23:10:34.759Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T23:10:37.812Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T23:10:40.895Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T23:10:43.951Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T23:10:44.926Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T23:10:46.903Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T23:10:49.623Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T23:10:51.614Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T23:10:51.614Z] 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. [2026-02-14T23:10:51.614Z] The best model improves the baseline by 14.52%. [2026-02-14T23:10:51.614Z] Top recommended movies for user id 72: [2026-02-14T23:10:51.614Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T23:10:51.614Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T23:10:51.614Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T23:10:51.614Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T23:10:51.614Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T23:10:51.614Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (20169.389 ms) ====== [2026-02-14T23:10:51.614Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-14T23:10:51.614Z] GC before operation: completed in 168.216 ms, heap usage 215.059 MB -> 90.118 MB. [2026-02-14T23:10:55.817Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-14T23:10:58.878Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-14T23:11:01.961Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-14T23:11:05.018Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-14T23:11:07.022Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-14T23:11:07.991Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-14T23:11:09.986Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-14T23:11:11.974Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-14T23:11:12.940Z] 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. [2026-02-14T23:11:12.940Z] The best model improves the baseline by 14.52%. [2026-02-14T23:11:12.940Z] Top recommended movies for user id 72: [2026-02-14T23:11:12.940Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-14T23:11:12.940Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-14T23:11:12.940Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-14T23:11:12.940Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-14T23:11:12.940Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-14T23:11:12.940Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (20680.718 ms) ====== [2026-02-14T23:11:13.979Z] ----------------------------------- [2026-02-14T23:11:13.979Z] renaissance-movie-lens_0_PASSED [2026-02-14T23:11:13.979Z] ----------------------------------- [2026-02-14T23:11:13.979Z] [2026-02-14T23:11:13.979Z] TEST TEARDOWN: [2026-02-14T23:11:13.979Z] Nothing to be done for teardown. [2026-02-14T23:11:13.979Z] renaissance-movie-lens_0 Finish Time: Sat Feb 14 23:11:13 2026 Epoch Time (ms): 1771110673404