[2026-02-28T23:03:58.724Z] Running test renaissance-movie-lens_0 ... [2026-02-28T23:03:58.724Z] =============================================== [2026-02-28T23:03:58.724Z] renaissance-movie-lens_0 Start Time: Sat Feb 28 23:03:57 2026 Epoch Time (ms): 1772319837687 [2026-02-28T23:03:58.724Z] variation: NoOptions [2026-02-28T23:03:58.724Z] JVM_OPTIONS: [2026-02-28T23:03:58.724Z] { \ [2026-02-28T23:03:58.724Z] echo ""; echo "TEST SETUP:"; \ [2026-02-28T23:03:58.724Z] echo "Nothing to be done for setup."; \ [2026-02-28T23:03:58.724Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17723190072092/renaissance-movie-lens_0"; \ [2026-02-28T23:03:58.724Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17723190072092/renaissance-movie-lens_0"; \ [2026-02-28T23:03:58.724Z] echo ""; echo "TESTING:"; \ [2026-02-28T23:03:58.724Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_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_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17723190072092/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-28T23:03:58.724Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17723190072092/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-28T23:03:58.724Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-28T23:03:58.724Z] echo "Nothing to be done for teardown."; \ [2026-02-28T23:03:58.724Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17723190072092/TestTargetResult"; [2026-02-28T23:03:58.724Z] [2026-02-28T23:03:58.724Z] TEST SETUP: [2026-02-28T23:03:58.724Z] Nothing to be done for setup. [2026-02-28T23:03:58.724Z] [2026-02-28T23:03:58.724Z] TESTING: [2026-02-28T23:03:58.724Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-28T23:03:58.724Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/output_17723190072092/renaissance-movie-lens_0/launcher-230357-10583999696155402925/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-28T23:03:58.724Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-28T23:03:58.724Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-28T23:04:04.140Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-28T23:04:10.872Z] 23:04:09.556 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. [2026-02-28T23:04:11.829Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-28T23:04:12.789Z] Training: 60056, validation: 20285, test: 19854 [2026-02-28T23:04:12.790Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-28T23:04:12.790Z] GC before operation: completed in 175.358 ms, heap usage 257.410 MB -> 75.547 MB. [2026-02-28T23:04:18.204Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:04:21.266Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:04:24.310Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:04:27.350Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:04:29.323Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:04:31.304Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:04:33.270Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:04:34.253Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:04:35.214Z] 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. [2026-02-28T23:04:35.214Z] The best model improves the baseline by 14.52%. [2026-02-28T23:04:35.214Z] Top recommended movies for user id 72: [2026-02-28T23:04:35.214Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:04:35.214Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:04:35.214Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:04:35.214Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:04:35.214Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:04:35.214Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (22427.514 ms) ====== [2026-02-28T23:04:35.214Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-28T23:04:35.214Z] GC before operation: completed in 228.486 ms, heap usage 523.580 MB -> 86.498 MB. [2026-02-28T23:04:38.253Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:04:41.139Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:04:43.126Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:04:46.173Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:04:48.142Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:04:49.103Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:04:51.074Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:04:52.032Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:04:52.992Z] 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. [2026-02-28T23:04:52.992Z] The best model improves the baseline by 14.52%. [2026-02-28T23:04:52.992Z] Top recommended movies for user id 72: [2026-02-28T23:04:52.992Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:04:52.992Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:04:52.992Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:04:52.992Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:04:52.992Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:04:52.992Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17591.708 ms) ====== [2026-02-28T23:04:52.992Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-28T23:04:52.992Z] GC before operation: completed in 149.258 ms, heap usage 125.245 MB -> 88.163 MB. [2026-02-28T23:04:56.035Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:04:58.007Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:05:01.042Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:05:03.007Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:05:03.966Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:05:05.931Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:05:07.905Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:05:08.865Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:05:08.866Z] 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. [2026-02-28T23:05:08.866Z] The best model improves the baseline by 14.52%. [2026-02-28T23:05:10.001Z] Top recommended movies for user id 72: [2026-02-28T23:05:10.001Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:05:10.001Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:05:10.001Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:05:10.001Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:05:10.001Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:05:10.001Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16272.372 ms) ====== [2026-02-28T23:05:10.001Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-28T23:05:10.001Z] GC before operation: completed in 138.112 ms, heap usage 368.719 MB -> 89.211 MB. [2026-02-28T23:05:11.969Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:05:13.937Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:05:16.975Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:05:18.944Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:05:20.914Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:05:21.873Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:05:23.855Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:05:24.814Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:05:25.772Z] 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. [2026-02-28T23:05:25.772Z] The best model improves the baseline by 14.52%. [2026-02-28T23:05:25.772Z] Top recommended movies for user id 72: [2026-02-28T23:05:25.772Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:05:25.772Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:05:25.772Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:05:25.772Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:05:25.772Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:05:25.772Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16135.768 ms) ====== [2026-02-28T23:05:25.772Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-28T23:05:25.772Z] GC before operation: completed in 126.703 ms, heap usage 364.996 MB -> 89.426 MB. [2026-02-28T23:05:28.814Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:05:30.786Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:05:32.753Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:05:34.722Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:05:36.691Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:05:38.286Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:05:39.245Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:05:40.202Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:05:41.160Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-28T23:05:41.160Z] The best model improves the baseline by 14.52%. [2026-02-28T23:05:41.160Z] Top recommended movies for user id 72: [2026-02-28T23:05:41.161Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:05:41.161Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:05:41.161Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:05:41.161Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:05:41.161Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:05:41.161Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15038.034 ms) ====== [2026-02-28T23:05:41.161Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-28T23:05:41.161Z] GC before operation: completed in 137.962 ms, heap usage 617.447 MB -> 92.984 MB. [2026-02-28T23:05:43.126Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:05:45.093Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:05:48.134Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:05:50.108Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:05:51.065Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:05:53.031Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:05:53.991Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:05:55.958Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:05:55.958Z] 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. [2026-02-28T23:05:55.958Z] The best model improves the baseline by 14.52%. [2026-02-28T23:05:55.958Z] Top recommended movies for user id 72: [2026-02-28T23:05:55.958Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:05:55.958Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:05:55.958Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:05:55.958Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:05:55.958Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:05:55.958Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15263.690 ms) ====== [2026-02-28T23:05:55.958Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-28T23:05:55.958Z] GC before operation: completed in 124.512 ms, heap usage 289.818 MB -> 89.717 MB. [2026-02-28T23:05:58.994Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:06:00.961Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:06:02.929Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:06:04.921Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:06:06.890Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:06:07.856Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:06:09.830Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:06:10.792Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:06:10.792Z] 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. [2026-02-28T23:06:10.792Z] The best model improves the baseline by 14.52%. [2026-02-28T23:06:11.750Z] Top recommended movies for user id 72: [2026-02-28T23:06:11.750Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:06:11.750Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:06:11.750Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:06:11.750Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:06:11.750Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:06:11.750Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15009.507 ms) ====== [2026-02-28T23:06:11.750Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-28T23:06:11.750Z] GC before operation: completed in 140.985 ms, heap usage 396.398 MB -> 89.727 MB. [2026-02-28T23:06:13.722Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:06:15.689Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:06:18.727Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:06:20.694Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:06:21.653Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:06:23.629Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:06:24.587Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:06:26.554Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:06:26.554Z] 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. [2026-02-28T23:06:26.554Z] The best model improves the baseline by 14.52%. [2026-02-28T23:06:26.554Z] Top recommended movies for user id 72: [2026-02-28T23:06:26.554Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:06:26.554Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:06:26.554Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:06:26.554Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:06:26.554Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:06:26.554Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15174.297 ms) ====== [2026-02-28T23:06:26.554Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-28T23:06:26.554Z] GC before operation: completed in 151.082 ms, heap usage 387.621 MB -> 89.923 MB. [2026-02-28T23:06:29.595Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:06:31.566Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:06:34.492Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:06:35.450Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:06:37.417Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:06:38.376Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:06:40.397Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:06:41.359Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:06:41.359Z] 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. [2026-02-28T23:06:41.359Z] The best model improves the baseline by 14.52%. [2026-02-28T23:06:42.321Z] Top recommended movies for user id 72: [2026-02-28T23:06:42.321Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:06:42.321Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:06:42.321Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:06:42.321Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:06:42.321Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:06:42.321Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15178.477 ms) ====== [2026-02-28T23:06:42.321Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-28T23:06:42.321Z] GC before operation: completed in 128.741 ms, heap usage 180.139 MB -> 89.529 MB. [2026-02-28T23:06:44.288Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:06:46.257Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:06:49.297Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:06:51.268Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:06:53.242Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:06:54.201Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:06:55.161Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:06:57.139Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:06:57.139Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-28T23:06:57.139Z] The best model improves the baseline by 14.52%. [2026-02-28T23:06:57.139Z] Top recommended movies for user id 72: [2026-02-28T23:06:57.139Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:06:57.139Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:06:57.139Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:06:57.139Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:06:57.139Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:06:57.139Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15080.313 ms) ====== [2026-02-28T23:06:57.140Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-28T23:06:57.140Z] GC before operation: completed in 150.227 ms, heap usage 284.151 MB -> 89.860 MB. [2026-02-28T23:06:59.112Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:07:01.080Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:07:03.057Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:07:05.028Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:07:06.996Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:07:07.959Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:07:09.927Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:07:10.887Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:07:10.887Z] 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. [2026-02-28T23:07:10.887Z] The best model improves the baseline by 14.52%. [2026-02-28T23:07:11.847Z] Top recommended movies for user id 72: [2026-02-28T23:07:11.847Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:07:11.847Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:07:11.847Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:07:11.847Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:07:11.847Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:07:11.847Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (13981.814 ms) ====== [2026-02-28T23:07:11.847Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-28T23:07:11.847Z] GC before operation: completed in 127.046 ms, heap usage 120.601 MB -> 89.355 MB. [2026-02-28T23:07:13.814Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:07:15.783Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:07:18.856Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:07:20.818Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:07:21.775Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:07:23.737Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:07:24.693Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:07:25.649Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:07:26.605Z] 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. [2026-02-28T23:07:26.605Z] The best model improves the baseline by 14.52%. [2026-02-28T23:07:26.605Z] Top recommended movies for user id 72: [2026-02-28T23:07:26.605Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:07:26.605Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:07:26.605Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:07:26.605Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:07:26.605Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:07:26.605Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14980.705 ms) ====== [2026-02-28T23:07:26.605Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-28T23:07:26.605Z] GC before operation: completed in 120.601 ms, heap usage 281.063 MB -> 89.770 MB. [2026-02-28T23:07:28.571Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:07:31.277Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:07:33.263Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:07:35.225Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:07:37.199Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:07:38.158Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:07:40.233Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:07:41.190Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:07:41.190Z] 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. [2026-02-28T23:07:41.190Z] The best model improves the baseline by 14.52%. [2026-02-28T23:07:41.190Z] Top recommended movies for user id 72: [2026-02-28T23:07:41.190Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:07:41.190Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:07:41.190Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:07:41.190Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:07:41.190Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:07:41.191Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14937.208 ms) ====== [2026-02-28T23:07:41.191Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-28T23:07:42.148Z] GC before operation: completed in 133.851 ms, heap usage 467.069 MB -> 90.120 MB. [2026-02-28T23:07:44.118Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:07:46.086Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:07:48.055Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:07:50.027Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:07:52.008Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:07:52.969Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:07:54.941Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:07:55.900Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:07:55.900Z] 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. [2026-02-28T23:07:55.900Z] The best model improves the baseline by 14.52%. [2026-02-28T23:07:55.900Z] Top recommended movies for user id 72: [2026-02-28T23:07:55.900Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:07:55.900Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:07:55.900Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:07:55.900Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:07:55.900Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:07:55.900Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14582.123 ms) ====== [2026-02-28T23:07:55.900Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-28T23:07:56.860Z] GC before operation: completed in 136.164 ms, heap usage 278.906 MB -> 89.707 MB. [2026-02-28T23:07:58.838Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:08:00.814Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:08:02.783Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:08:04.755Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:08:05.715Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:08:06.674Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:08:08.646Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:08:09.605Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:08:09.605Z] 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. [2026-02-28T23:08:09.605Z] The best model improves the baseline by 14.52%. [2026-02-28T23:08:09.605Z] Top recommended movies for user id 72: [2026-02-28T23:08:09.605Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:08:09.605Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:08:09.605Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:08:09.605Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:08:09.605Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:08:09.605Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (13376.641 ms) ====== [2026-02-28T23:08:09.605Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-28T23:08:09.605Z] GC before operation: completed in 142.825 ms, heap usage 512.998 MB -> 90.235 MB. [2026-02-28T23:08:11.570Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:08:14.610Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:08:16.577Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:08:18.543Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:08:19.501Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:08:21.484Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:08:22.446Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:08:24.413Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:08:24.413Z] 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. [2026-02-28T23:08:24.413Z] The best model improves the baseline by 14.52%. [2026-02-28T23:08:24.413Z] Top recommended movies for user id 72: [2026-02-28T23:08:24.413Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:08:24.413Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:08:24.413Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:08:24.413Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:08:24.413Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:08:24.413Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14460.219 ms) ====== [2026-02-28T23:08:24.413Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-28T23:08:24.413Z] GC before operation: completed in 125.953 ms, heap usage 415.278 MB -> 89.885 MB. [2026-02-28T23:08:27.084Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:08:29.050Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:08:31.016Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:08:32.994Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:08:34.959Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:08:35.917Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:08:37.880Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:08:38.838Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:08:38.838Z] 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. [2026-02-28T23:08:38.838Z] The best model improves the baseline by 14.52%. [2026-02-28T23:08:38.838Z] Top recommended movies for user id 72: [2026-02-28T23:08:38.838Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:08:38.838Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:08:38.838Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:08:38.838Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:08:38.838Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:08:38.838Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14698.188 ms) ====== [2026-02-28T23:08:38.838Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-28T23:08:39.797Z] GC before operation: completed in 126.209 ms, heap usage 372.212 MB -> 90.021 MB. [2026-02-28T23:08:41.761Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:08:43.733Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:08:45.705Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:08:47.674Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:08:49.644Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:08:50.602Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:08:51.559Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:08:53.527Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:08:53.527Z] 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. [2026-02-28T23:08:53.527Z] The best model improves the baseline by 14.52%. [2026-02-28T23:08:53.527Z] Top recommended movies for user id 72: [2026-02-28T23:08:53.527Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:08:53.527Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:08:53.527Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:08:53.527Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:08:53.527Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:08:53.527Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14077.718 ms) ====== [2026-02-28T23:08:53.527Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-28T23:08:53.527Z] GC before operation: completed in 114.194 ms, heap usage 179.258 MB -> 89.685 MB. [2026-02-28T23:08:55.488Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:08:57.451Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:09:00.479Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:09:02.442Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:09:03.399Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:09:04.355Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:09:06.328Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:09:07.287Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:09:07.287Z] 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. [2026-02-28T23:09:07.287Z] The best model improves the baseline by 14.52%. [2026-02-28T23:09:07.287Z] Top recommended movies for user id 72: [2026-02-28T23:09:07.287Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:09:07.287Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:09:07.287Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:09:07.287Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:09:07.287Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:09:07.287Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14046.500 ms) ====== [2026-02-28T23:09:07.287Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-28T23:09:07.287Z] GC before operation: completed in 123.182 ms, heap usage 239.702 MB -> 89.788 MB. [2026-02-28T23:09:09.318Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-28T23:09:11.284Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-28T23:09:13.260Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-28T23:09:15.226Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-28T23:09:17.193Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-28T23:09:18.151Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-28T23:09:19.111Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-28T23:09:20.071Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-28T23:09:21.032Z] 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. [2026-02-28T23:09:21.032Z] The best model improves the baseline by 14.52%. [2026-02-28T23:09:21.032Z] Top recommended movies for user id 72: [2026-02-28T23:09:21.032Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-28T23:09:21.032Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-28T23:09:21.032Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-28T23:09:21.032Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-28T23:09:21.032Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-28T23:09:21.032Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (13065.483 ms) ====== [2026-02-28T23:09:21.032Z] ----------------------------------- [2026-02-28T23:09:21.032Z] renaissance-movie-lens_0_PASSED [2026-02-28T23:09:21.032Z] ----------------------------------- [2026-02-28T23:09:21.032Z] [2026-02-28T23:09:21.032Z] TEST TEARDOWN: [2026-02-28T23:09:21.032Z] Nothing to be done for teardown. [2026-02-28T23:09:21.032Z] renaissance-movie-lens_0 Finish Time: Sat Feb 28 23:09:20 2026 Epoch Time (ms): 1772320160750