[2026-02-11T23:19:58.799Z] Running test renaissance-movie-lens_0 ... [2026-02-11T23:19:58.799Z] =============================================== [2026-02-11T23:19:58.799Z] renaissance-movie-lens_0 Start Time: Wed Feb 11 23:19:58 2026 Epoch Time (ms): 1770851998690 [2026-02-11T23:19:58.799Z] variation: NoOptions [2026-02-11T23:19:58.799Z] JVM_OPTIONS: [2026-02-11T23:19:58.799Z] { \ [2026-02-11T23:19:58.799Z] echo ""; echo "TEST SETUP:"; \ [2026-02-11T23:19:58.799Z] echo "Nothing to be done for setup."; \ [2026-02-11T23:19:58.799Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17708511469403/renaissance-movie-lens_0"; \ [2026-02-11T23:19:58.799Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17708511469403/renaissance-movie-lens_0"; \ [2026-02-11T23:19:58.799Z] echo ""; echo "TESTING:"; \ [2026-02-11T23:19:58.799Z] "/home/jenkins/workspace/Test_openjdk21_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_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17708511469403/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-11T23:19:58.799Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17708511469403/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-11T23:19:58.799Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-11T23:19:58.799Z] echo "Nothing to be done for teardown."; \ [2026-02-11T23:19:58.799Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17708511469403/TestTargetResult"; [2026-02-11T23:19:58.799Z] [2026-02-11T23:19:58.799Z] TEST SETUP: [2026-02-11T23:19:58.799Z] Nothing to be done for setup. [2026-02-11T23:19:58.799Z] [2026-02-11T23:19:58.799Z] TESTING: [2026-02-11T23:20:04.212Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-11T23:20:10.959Z] 23:20:10.422 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. [2026-02-11T23:20:12.930Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-11T23:20:13.897Z] Training: 60056, validation: 20285, test: 19854 [2026-02-11T23:20:13.897Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-11T23:20:13.897Z] GC before operation: completed in 134.677 ms, heap usage 235.281 MB -> 75.815 MB. [2026-02-11T23:20:18.082Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:20:22.262Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:20:25.300Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:20:28.338Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:20:30.313Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:20:31.273Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:20:33.256Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:20:35.223Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:20:35.223Z] 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. [2026-02-11T23:20:35.223Z] The best model improves the baseline by 14.52%. [2026-02-11T23:20:35.223Z] Top recommended movies for user id 72: [2026-02-11T23:20:35.224Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:20:35.224Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:20:35.224Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:20:35.224Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:20:35.224Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:20:35.224Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (21951.877 ms) ====== [2026-02-11T23:20:35.224Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-11T23:20:36.184Z] GC before operation: completed in 151.835 ms, heap usage 175.183 MB -> 89.669 MB. [2026-02-11T23:20:38.152Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:20:41.222Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:20:44.264Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:20:46.233Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:20:48.382Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:20:49.343Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:20:51.489Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:20:53.135Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:20:53.135Z] 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. [2026-02-11T23:20:53.135Z] The best model improves the baseline by 14.52%. [2026-02-11T23:20:53.135Z] Top recommended movies for user id 72: [2026-02-11T23:20:53.135Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:20:53.135Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:20:53.135Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:20:53.135Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:20:53.135Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:20:53.135Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17688.047 ms) ====== [2026-02-11T23:20:53.135Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-11T23:20:53.135Z] GC before operation: completed in 155.850 ms, heap usage 118.448 MB -> 88.508 MB. [2026-02-11T23:20:56.180Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:20:58.151Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:21:01.222Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:21:03.190Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:21:05.160Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:21:06.121Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:21:08.095Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:21:10.065Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:21:10.065Z] 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. [2026-02-11T23:21:10.065Z] The best model improves the baseline by 14.52%. [2026-02-11T23:21:10.065Z] Top recommended movies for user id 72: [2026-02-11T23:21:10.065Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:21:10.065Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:21:10.065Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:21:10.065Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:21:10.065Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:21:10.065Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16530.662 ms) ====== [2026-02-11T23:21:10.065Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-11T23:21:10.065Z] GC before operation: completed in 137.353 ms, heap usage 391.126 MB -> 89.574 MB. [2026-02-11T23:21:13.105Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:21:15.078Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:21:18.120Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:21:20.089Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:21:22.061Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:21:23.021Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:21:24.990Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:21:25.952Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:21:26.911Z] 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. [2026-02-11T23:21:26.911Z] The best model improves the baseline by 14.52%. [2026-02-11T23:21:26.911Z] Top recommended movies for user id 72: [2026-02-11T23:21:26.911Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:21:26.911Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:21:26.911Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:21:26.911Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:21:26.912Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:21:26.912Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16658.575 ms) ====== [2026-02-11T23:21:26.912Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-11T23:21:26.912Z] GC before operation: completed in 150.884 ms, heap usage 178.658 MB -> 89.561 MB. [2026-02-11T23:21:28.880Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:21:31.923Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:21:33.893Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:21:36.950Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:21:37.910Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:21:39.881Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:21:40.840Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:21:42.808Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:21:42.809Z] 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. [2026-02-11T23:21:42.809Z] The best model improves the baseline by 14.52%. [2026-02-11T23:21:42.809Z] Top recommended movies for user id 72: [2026-02-11T23:21:42.809Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:21:42.809Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:21:42.809Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:21:42.809Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:21:42.809Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:21:42.809Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16123.056 ms) ====== [2026-02-11T23:21:42.809Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-11T23:21:43.768Z] GC before operation: completed in 122.175 ms, heap usage 416.452 MB -> 89.790 MB. [2026-02-11T23:21:46.497Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:21:48.468Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:21:50.437Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:21:52.404Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:21:54.373Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:21:55.332Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:21:57.300Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:21:58.263Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:21:58.263Z] 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. [2026-02-11T23:21:58.263Z] The best model improves the baseline by 14.52%. [2026-02-11T23:21:59.222Z] Top recommended movies for user id 72: [2026-02-11T23:21:59.222Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:21:59.222Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:21:59.222Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:21:59.222Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:21:59.222Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:21:59.222Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15561.932 ms) ====== [2026-02-11T23:21:59.222Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-11T23:21:59.222Z] GC before operation: completed in 161.348 ms, heap usage 404.839 MB -> 90.111 MB. [2026-02-11T23:22:01.297Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:22:03.266Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:22:05.235Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:22:08.279Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:22:09.239Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:22:11.214Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:22:12.174Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:22:13.133Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:22:14.093Z] 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. [2026-02-11T23:22:14.093Z] The best model improves the baseline by 14.52%. [2026-02-11T23:22:14.093Z] Top recommended movies for user id 72: [2026-02-11T23:22:14.093Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:22:14.093Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:22:14.093Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:22:14.093Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:22:14.093Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:22:14.093Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15002.587 ms) ====== [2026-02-11T23:22:14.093Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-11T23:22:14.093Z] GC before operation: completed in 134.359 ms, heap usage 346.241 MB -> 90.018 MB. [2026-02-11T23:22:16.071Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:22:19.111Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:22:21.079Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:22:23.049Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:22:25.023Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:22:25.992Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:22:27.964Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:22:28.925Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:22:28.925Z] 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. [2026-02-11T23:22:28.925Z] The best model improves the baseline by 14.52%. [2026-02-11T23:22:28.925Z] Top recommended movies for user id 72: [2026-02-11T23:22:28.925Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:22:28.925Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:22:28.925Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:22:28.925Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:22:28.925Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:22:28.925Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15085.171 ms) ====== [2026-02-11T23:22:28.925Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-11T23:22:29.886Z] GC before operation: completed in 155.234 ms, heap usage 660.137 MB -> 93.820 MB. [2026-02-11T23:22:31.859Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:22:33.826Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:22:35.793Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:22:38.838Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:22:40.856Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:22:41.820Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:22:42.783Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:22:43.741Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:22:43.741Z] 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. [2026-02-11T23:22:44.699Z] The best model improves the baseline by 14.52%. [2026-02-11T23:22:44.699Z] Top recommended movies for user id 72: [2026-02-11T23:22:44.699Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:22:44.699Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:22:44.699Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:22:44.699Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:22:44.699Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:22:44.699Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15035.991 ms) ====== [2026-02-11T23:22:44.699Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-11T23:22:44.699Z] GC before operation: completed in 124.401 ms, heap usage 368.853 MB -> 90.174 MB. [2026-02-11T23:22:46.678Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:22:49.712Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:22:51.679Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:22:53.644Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:22:54.602Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:22:56.571Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:22:57.529Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:22:58.486Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:22:59.445Z] 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. [2026-02-11T23:22:59.445Z] The best model improves the baseline by 14.52%. [2026-02-11T23:22:59.445Z] Top recommended movies for user id 72: [2026-02-11T23:22:59.445Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:22:59.445Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:22:59.445Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:22:59.446Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:22:59.446Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:22:59.446Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14788.025 ms) ====== [2026-02-11T23:22:59.446Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-11T23:22:59.446Z] GC before operation: completed in 126.029 ms, heap usage 361.085 MB -> 90.270 MB. [2026-02-11T23:23:01.476Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:23:04.511Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:23:06.477Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:23:08.449Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:23:09.408Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:23:11.374Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:23:12.334Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:23:14.302Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:23:14.302Z] 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. [2026-02-11T23:23:14.302Z] The best model improves the baseline by 14.52%. [2026-02-11T23:23:14.302Z] Top recommended movies for user id 72: [2026-02-11T23:23:14.302Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:23:14.302Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:23:14.302Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:23:14.302Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:23:14.302Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:23:14.302Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15042.083 ms) ====== [2026-02-11T23:23:14.302Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-11T23:23:14.302Z] GC before operation: completed in 132.006 ms, heap usage 483.578 MB -> 90.261 MB. [2026-02-11T23:23:17.338Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:23:19.312Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:23:21.325Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:23:23.294Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:23:24.251Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:23:26.220Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:23:27.179Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:23:29.152Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:23:29.152Z] 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. [2026-02-11T23:23:29.152Z] The best model improves the baseline by 14.52%. [2026-02-11T23:23:29.152Z] Top recommended movies for user id 72: [2026-02-11T23:23:29.152Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:23:29.152Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:23:29.152Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:23:29.152Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:23:29.152Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:23:29.152Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14714.646 ms) ====== [2026-02-11T23:23:29.152Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-11T23:23:29.152Z] GC before operation: completed in 129.380 ms, heap usage 370.743 MB -> 90.228 MB. [2026-02-11T23:23:32.211Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:23:35.114Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:23:36.100Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:23:38.068Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:23:40.037Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:23:40.995Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:23:42.966Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:23:43.926Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:23:43.926Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-11T23:23:43.926Z] The best model improves the baseline by 14.52%. [2026-02-11T23:23:44.884Z] Top recommended movies for user id 72: [2026-02-11T23:23:44.884Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:23:44.884Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:23:44.884Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:23:44.884Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:23:44.884Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:23:44.884Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15048.591 ms) ====== [2026-02-11T23:23:44.884Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-11T23:23:44.884Z] GC before operation: completed in 131.098 ms, heap usage 367.934 MB -> 90.546 MB. [2026-02-11T23:23:46.851Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:23:48.848Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:23:51.886Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:23:53.854Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:23:54.812Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:23:56.779Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:23:57.737Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:23:59.705Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:23:59.705Z] 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. [2026-02-11T23:23:59.705Z] The best model improves the baseline by 14.52%. [2026-02-11T23:23:59.705Z] Top recommended movies for user id 72: [2026-02-11T23:23:59.705Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:23:59.705Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:23:59.705Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:23:59.705Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:23:59.705Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:23:59.705Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14912.152 ms) ====== [2026-02-11T23:23:59.705Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-11T23:23:59.705Z] GC before operation: completed in 122.376 ms, heap usage 479.690 MB -> 90.404 MB. [2026-02-11T23:24:01.683Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:24:03.649Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:24:06.685Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:24:08.652Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:24:09.612Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:24:11.578Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:24:12.537Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:24:13.495Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:24:13.496Z] 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. [2026-02-11T23:24:13.496Z] The best model improves the baseline by 14.52%. [2026-02-11T23:24:14.456Z] Top recommended movies for user id 72: [2026-02-11T23:24:14.456Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:24:14.456Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:24:14.456Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:24:14.456Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:24:14.456Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:24:14.456Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14378.849 ms) ====== [2026-02-11T23:24:14.456Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-11T23:24:14.456Z] GC before operation: completed in 136.627 ms, heap usage 252.227 MB -> 90.290 MB. [2026-02-11T23:24:16.428Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:24:18.397Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:24:21.433Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:24:23.421Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:24:24.378Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:24:26.344Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:24:27.302Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:24:29.174Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:24:29.174Z] 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. [2026-02-11T23:24:29.174Z] The best model improves the baseline by 14.52%. [2026-02-11T23:24:29.174Z] Top recommended movies for user id 72: [2026-02-11T23:24:29.174Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:24:29.174Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:24:29.174Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:24:29.174Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:24:29.174Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:24:29.174Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15044.403 ms) ====== [2026-02-11T23:24:29.174Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-11T23:24:29.174Z] GC before operation: completed in 121.746 ms, heap usage 287.528 MB -> 90.198 MB. [2026-02-11T23:24:31.151Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:24:34.188Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:24:36.163Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:24:38.129Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:24:40.102Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:24:41.060Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:24:42.018Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:24:42.976Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:24:43.935Z] 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. [2026-02-11T23:24:43.935Z] The best model improves the baseline by 14.52%. [2026-02-11T23:24:43.935Z] Top recommended movies for user id 72: [2026-02-11T23:24:43.935Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:24:43.935Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:24:43.935Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:24:43.935Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:24:43.935Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:24:43.935Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14424.808 ms) ====== [2026-02-11T23:24:43.935Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-11T23:24:43.935Z] GC before operation: completed in 128.533 ms, heap usage 424.497 MB -> 90.529 MB. [2026-02-11T23:24:45.905Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:24:47.873Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:24:49.844Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:24:51.817Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:24:53.786Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:24:54.744Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:24:55.702Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:24:57.668Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:24:57.668Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-11T23:24:57.668Z] The best model improves the baseline by 14.52%. [2026-02-11T23:24:57.668Z] Top recommended movies for user id 72: [2026-02-11T23:24:57.668Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:24:57.668Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:24:57.668Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:24:57.668Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:24:57.668Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:24:57.668Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (13721.569 ms) ====== [2026-02-11T23:24:57.668Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-11T23:24:57.668Z] GC before operation: completed in 147.854 ms, heap usage 272.107 MB -> 90.087 MB. [2026-02-11T23:24:59.665Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:25:02.702Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:25:04.671Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:25:06.639Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:25:08.610Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:25:09.568Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:25:10.526Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:25:12.495Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:25:12.495Z] 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. [2026-02-11T23:25:12.495Z] The best model improves the baseline by 14.52%. [2026-02-11T23:25:12.495Z] Top recommended movies for user id 72: [2026-02-11T23:25:12.495Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:25:12.495Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:25:12.495Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:25:12.495Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:25:12.495Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:25:12.495Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14879.207 ms) ====== [2026-02-11T23:25:12.495Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-11T23:25:12.495Z] GC before operation: completed in 123.233 ms, heap usage 154.401 MB -> 89.985 MB. [2026-02-11T23:25:15.533Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:25:17.503Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:25:19.472Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:25:21.443Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:25:23.327Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:25:24.286Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:25:26.255Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:25:27.213Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:25:28.171Z] 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. [2026-02-11T23:25:28.171Z] The best model improves the baseline by 14.52%. [2026-02-11T23:25:28.171Z] Top recommended movies for user id 72: [2026-02-11T23:25:28.171Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:25:28.171Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:25:28.171Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:25:28.171Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:25:28.171Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:25:28.171Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15107.450 ms) ====== [2026-02-11T23:25:28.171Z] ----------------------------------- [2026-02-11T23:25:28.171Z] renaissance-movie-lens_0_PASSED [2026-02-11T23:25:28.171Z] ----------------------------------- [2026-02-11T23:25:28.171Z] [2026-02-11T23:25:28.171Z] TEST TEARDOWN: [2026-02-11T23:25:28.171Z] Nothing to be done for teardown. [2026-02-11T23:25:28.171Z] renaissance-movie-lens_0 Finish Time: Wed Feb 11 23:25:27 2026 Epoch Time (ms): 1770852327836