[2026-04-22T00:40:28.119Z] Running test renaissance-movie-lens_0 ... [2026-04-22T00:40:28.119Z] =============================================== [2026-04-22T00:40:28.119Z] renaissance-movie-lens_0 Start Time: Wed Apr 22 00:40:26 2026 Epoch Time (ms): 1776818426992 [2026-04-22T00:40:28.119Z] variation: NoOptions [2026-04-22T00:40:28.119Z] JVM_OPTIONS: [2026-04-22T00:40:28.119Z] { \ [2026-04-22T00:40:28.119Z] echo ""; echo "TEST SETUP:"; \ [2026-04-22T00:40:28.119Z] echo "Nothing to be done for setup."; \ [2026-04-22T00:40:28.119Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17768175535558/renaissance-movie-lens_0"; \ [2026-04-22T00:40:28.119Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17768175535558/renaissance-movie-lens_0"; \ [2026-04-22T00:40:28.119Z] echo ""; echo "TESTING:"; \ [2026-04-22T00:40:28.119Z] "/home/jenkins/workspace/Test_openjdk17_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_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17768175535558/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-22T00:40:28.119Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17768175535558/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-22T00:40:28.119Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-22T00:40:28.119Z] echo "Nothing to be done for teardown."; \ [2026-04-22T00:40:28.119Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17768175535558/TestTargetResult"; [2026-04-22T00:40:28.119Z] [2026-04-22T00:40:28.119Z] TEST SETUP: [2026-04-22T00:40:28.119Z] Nothing to be done for setup. [2026-04-22T00:40:28.119Z] [2026-04-22T00:40:28.119Z] TESTING: [2026-04-22T00:40:33.043Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-22T00:40:39.775Z] 00:40:38.642 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-04-22T00:40:41.738Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-22T00:40:41.738Z] Training: 60056, validation: 20285, test: 19854 [2026-04-22T00:40:41.738Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-22T00:40:41.738Z] GC before operation: completed in 138.496 ms, heap usage 343.448 MB -> 75.959 MB. [2026-04-22T00:40:47.304Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T00:40:50.332Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T00:40:53.366Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T00:40:55.537Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T00:40:57.496Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T00:40:58.450Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T00:41:00.410Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T00:41:02.374Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T00:41:02.374Z] 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. [2026-04-22T00:41:02.374Z] The best model improves the baseline by 14.52%. [2026-04-22T00:41:02.374Z] Top recommended movies for user id 72: [2026-04-22T00:41:02.374Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T00:41:02.374Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T00:41:02.374Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T00:41:02.374Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T00:41:02.374Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T00:41:02.374Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (20904.251 ms) ====== [2026-04-22T00:41:02.374Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-22T00:41:03.326Z] GC before operation: completed in 141.836 ms, heap usage 769.661 MB -> 92.998 MB. [2026-04-22T00:41:05.284Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T00:41:08.317Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T00:41:11.345Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T00:41:13.301Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T00:41:15.274Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T00:41:16.228Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T00:41:17.814Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T00:41:19.781Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T00:41:19.781Z] 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. [2026-04-22T00:41:19.781Z] The best model improves the baseline by 14.52%. [2026-04-22T00:41:19.781Z] Top recommended movies for user id 72: [2026-04-22T00:41:19.781Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T00:41:19.781Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T00:41:19.781Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T00:41:19.781Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T00:41:19.781Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T00:41:19.781Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17190.001 ms) ====== [2026-04-22T00:41:19.781Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-22T00:41:19.781Z] GC before operation: completed in 146.303 ms, heap usage 384.736 MB -> 91.302 MB. [2026-04-22T00:41:22.805Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T00:41:24.762Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T00:41:27.801Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T00:41:29.761Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T00:41:30.714Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T00:41:32.673Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T00:41:34.632Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T00:41:35.584Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T00:41:35.585Z] 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. [2026-04-22T00:41:35.585Z] The best model improves the baseline by 14.52%. [2026-04-22T00:41:35.585Z] Top recommended movies for user id 72: [2026-04-22T00:41:35.585Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T00:41:35.585Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T00:41:35.585Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T00:41:35.585Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T00:41:35.585Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T00:41:35.585Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15772.436 ms) ====== [2026-04-22T00:41:35.585Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-22T00:41:36.538Z] GC before operation: completed in 129.399 ms, heap usage 266.587 MB -> 91.932 MB. [2026-04-22T00:41:38.497Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T00:41:40.457Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T00:41:43.480Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T00:41:45.438Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T00:41:46.392Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T00:41:48.349Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T00:41:49.304Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T00:41:51.262Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T00:41:51.262Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-22T00:41:51.262Z] The best model improves the baseline by 14.52%. [2026-04-22T00:41:51.262Z] Top recommended movies for user id 72: [2026-04-22T00:41:51.262Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T00:41:51.262Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T00:41:51.262Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T00:41:51.262Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T00:41:51.262Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T00:41:51.262Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15344.584 ms) ====== [2026-04-22T00:41:51.262Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-22T00:41:51.262Z] GC before operation: completed in 116.194 ms, heap usage 489.867 MB -> 93.380 MB. [2026-04-22T00:41:54.292Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T00:41:56.247Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T00:41:58.234Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T00:42:01.283Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T00:42:02.934Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T00:42:03.888Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T00:42:04.846Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T00:42:06.813Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T00:42:06.813Z] 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. [2026-04-22T00:42:06.813Z] The best model improves the baseline by 14.52%. [2026-04-22T00:42:06.813Z] Top recommended movies for user id 72: [2026-04-22T00:42:06.813Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T00:42:06.813Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T00:42:06.813Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T00:42:06.813Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T00:42:06.813Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T00:42:06.813Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15345.619 ms) ====== [2026-04-22T00:42:06.813Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-22T00:42:06.813Z] GC before operation: completed in 116.198 ms, heap usage 366.033 MB -> 93.199 MB. [2026-04-22T00:42:09.834Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T00:42:10.791Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T00:42:13.817Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T00:42:15.777Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T00:42:16.731Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T00:42:18.688Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T00:42:19.641Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T00:42:20.596Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T00:42:21.549Z] 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. [2026-04-22T00:42:21.549Z] The best model improves the baseline by 14.52%. [2026-04-22T00:42:21.549Z] Top recommended movies for user id 72: [2026-04-22T00:42:21.549Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T00:42:21.549Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T00:42:21.549Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T00:42:21.549Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T00:42:21.549Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T00:42:21.549Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (14318.638 ms) ====== [2026-04-22T00:42:21.549Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-22T00:42:21.549Z] GC before operation: completed in 137.868 ms, heap usage 366.629 MB -> 94.665 MB. [2026-04-22T00:42:23.514Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T00:42:25.473Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T00:42:28.497Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T00:42:30.454Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T00:42:31.418Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T00:42:32.371Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T00:42:34.325Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T00:42:35.281Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T00:42:35.281Z] 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. [2026-04-22T00:42:35.281Z] The best model improves the baseline by 14.52%. [2026-04-22T00:42:36.233Z] Top recommended movies for user id 72: [2026-04-22T00:42:36.233Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T00:42:36.233Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T00:42:36.233Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T00:42:36.233Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T00:42:36.233Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T00:42:36.234Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14342.372 ms) ====== [2026-04-22T00:42:36.234Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-22T00:42:36.234Z] GC before operation: completed in 145.970 ms, heap usage 180.381 MB -> 93.236 MB. [2026-04-22T00:42:39.255Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T00:42:41.212Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T00:42:43.171Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T00:42:45.244Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T00:42:47.204Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T00:42:48.614Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T00:42:49.580Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T00:42:51.544Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T00:42:51.544Z] 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. [2026-04-22T00:42:51.544Z] The best model improves the baseline by 14.52%. [2026-04-22T00:42:51.544Z] Top recommended movies for user id 72: [2026-04-22T00:42:51.544Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T00:42:51.544Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T00:42:51.544Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T00:42:51.544Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T00:42:51.544Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T00:42:51.544Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15479.983 ms) ====== [2026-04-22T00:42:51.544Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-22T00:42:51.544Z] GC before operation: completed in 127.264 ms, heap usage 141.187 MB -> 95.914 MB. [2026-04-22T00:42:53.525Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T00:42:56.586Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T00:42:58.545Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T00:43:00.504Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T00:43:02.464Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T00:43:03.417Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T00:43:04.373Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T00:43:06.329Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T00:43:06.330Z] 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. [2026-04-22T00:43:06.330Z] The best model improves the baseline by 14.52%. [2026-04-22T00:43:06.330Z] Top recommended movies for user id 72: [2026-04-22T00:43:06.330Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T00:43:06.330Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T00:43:06.330Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T00:43:06.330Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T00:43:06.330Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T00:43:06.330Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14840.499 ms) ====== [2026-04-22T00:43:06.330Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-22T00:43:06.330Z] GC before operation: completed in 117.452 ms, heap usage 833.197 MB -> 96.950 MB. [2026-04-22T00:43:09.356Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T00:43:11.330Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T00:43:13.287Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T00:43:15.245Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T00:43:17.203Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T00:43:18.160Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T00:43:20.119Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T00:43:21.072Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T00:43:21.072Z] 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. [2026-04-22T00:43:21.072Z] The best model improves the baseline by 14.52%. [2026-04-22T00:43:21.072Z] Top recommended movies for user id 72: [2026-04-22T00:43:21.072Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T00:43:21.072Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T00:43:21.072Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T00:43:21.072Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T00:43:21.072Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T00:43:21.072Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14950.534 ms) ====== [2026-04-22T00:43:21.072Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-22T00:43:22.036Z] GC before operation: completed in 128.126 ms, heap usage 374.877 MB -> 92.819 MB. [2026-04-22T00:43:24.001Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T00:43:25.967Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T00:43:27.925Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T00:43:29.891Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T00:43:31.849Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T00:43:32.803Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T00:43:34.765Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T00:43:35.719Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T00:43:35.719Z] 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. [2026-04-22T00:43:35.719Z] The best model improves the baseline by 14.52%. [2026-04-22T00:43:35.719Z] Top recommended movies for user id 72: [2026-04-22T00:43:35.719Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T00:43:35.719Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T00:43:35.719Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T00:43:35.719Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T00:43:35.719Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T00:43:35.719Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14359.313 ms) ====== [2026-04-22T00:43:35.719Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-22T00:43:35.719Z] GC before operation: completed in 125.808 ms, heap usage 795.748 MB -> 96.602 MB. [2026-04-22T00:43:38.390Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T00:43:40.350Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T00:43:42.308Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T00:43:44.426Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T00:43:46.383Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T00:43:47.338Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T00:43:48.293Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T00:43:50.250Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T00:43:50.250Z] 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. [2026-04-22T00:43:50.250Z] The best model improves the baseline by 14.52%. [2026-04-22T00:43:50.250Z] Top recommended movies for user id 72: [2026-04-22T00:43:50.250Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T00:43:50.250Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T00:43:50.250Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T00:43:50.250Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T00:43:50.250Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T00:43:50.250Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14397.213 ms) ====== [2026-04-22T00:43:50.250Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-22T00:43:50.250Z] GC before operation: completed in 158.840 ms, heap usage 447.353 MB -> 92.845 MB. [2026-04-22T00:43:53.284Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T00:43:56.319Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T00:43:58.281Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T00:44:00.245Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T00:44:01.200Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T00:44:03.163Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T00:44:04.117Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T00:44:05.073Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T00:44:06.031Z] 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. [2026-04-22T00:44:06.031Z] The best model improves the baseline by 14.52%. [2026-04-22T00:44:06.031Z] Top recommended movies for user id 72: [2026-04-22T00:44:06.031Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T00:44:06.031Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T00:44:06.031Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T00:44:06.031Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T00:44:06.031Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T00:44:06.031Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15267.240 ms) ====== [2026-04-22T00:44:06.031Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-22T00:44:06.031Z] GC before operation: completed in 135.480 ms, heap usage 241.766 MB -> 95.750 MB. [2026-04-22T00:44:07.993Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T00:44:09.953Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T00:44:11.912Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T00:44:13.874Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T00:44:15.834Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T00:44:16.876Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T00:44:17.840Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T00:44:19.811Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T00:44:19.811Z] 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. [2026-04-22T00:44:19.811Z] The best model improves the baseline by 14.52%. [2026-04-22T00:44:19.811Z] Top recommended movies for user id 72: [2026-04-22T00:44:19.811Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T00:44:19.811Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T00:44:19.811Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T00:44:19.811Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T00:44:19.811Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T00:44:19.811Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (13773.434 ms) ====== [2026-04-22T00:44:19.811Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-22T00:44:19.811Z] GC before operation: completed in 135.417 ms, heap usage 540.871 MB -> 96.117 MB. [2026-04-22T00:44:22.477Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T00:44:24.439Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T00:44:26.397Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T00:44:28.381Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T00:44:30.343Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T00:44:31.298Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T00:44:33.257Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T00:44:34.212Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T00:44:34.212Z] 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. [2026-04-22T00:44:34.212Z] The best model improves the baseline by 14.52%. [2026-04-22T00:44:34.212Z] Top recommended movies for user id 72: [2026-04-22T00:44:34.212Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T00:44:34.212Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T00:44:34.212Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T00:44:34.212Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T00:44:34.212Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T00:44:34.212Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14551.445 ms) ====== [2026-04-22T00:44:34.212Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-22T00:44:35.169Z] GC before operation: completed in 179.519 ms, heap usage 269.803 MB -> 90.493 MB. [2026-04-22T00:44:37.127Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T00:44:39.088Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T00:44:42.123Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T00:44:44.222Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T00:44:45.178Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T00:44:46.132Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T00:44:48.107Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T00:44:49.064Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T00:44:49.064Z] 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. [2026-04-22T00:44:49.064Z] The best model improves the baseline by 14.52%. [2026-04-22T00:44:50.021Z] Top recommended movies for user id 72: [2026-04-22T00:44:50.021Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T00:44:50.021Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T00:44:50.021Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T00:44:50.021Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T00:44:50.021Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T00:44:50.021Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14889.261 ms) ====== [2026-04-22T00:44:50.021Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-22T00:44:50.021Z] GC before operation: completed in 134.972 ms, heap usage 430.499 MB -> 90.598 MB. [2026-04-22T00:44:51.980Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T00:44:53.936Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T00:44:55.896Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T00:44:57.859Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T00:44:59.822Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T00:45:00.777Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T00:45:02.733Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T00:45:03.687Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T00:45:03.687Z] 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. [2026-04-22T00:45:03.687Z] The best model improves the baseline by 14.52%. [2026-04-22T00:45:03.687Z] Top recommended movies for user id 72: [2026-04-22T00:45:03.687Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T00:45:03.687Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T00:45:03.687Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T00:45:03.687Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T00:45:03.687Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T00:45:03.687Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14374.002 ms) ====== [2026-04-22T00:45:03.687Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-22T00:45:04.643Z] GC before operation: completed in 125.751 ms, heap usage 211.876 MB -> 90.391 MB. [2026-04-22T00:45:06.601Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T00:45:09.013Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T00:45:10.971Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T00:45:12.931Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T00:45:13.886Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T00:45:15.842Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T00:45:16.796Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T00:45:17.750Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T00:45:18.704Z] 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. [2026-04-22T00:45:18.704Z] The best model improves the baseline by 14.52%. [2026-04-22T00:45:18.704Z] Top recommended movies for user id 72: [2026-04-22T00:45:18.704Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T00:45:18.704Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T00:45:18.704Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T00:45:18.704Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T00:45:18.704Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T00:45:18.704Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14238.486 ms) ====== [2026-04-22T00:45:18.704Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-22T00:45:18.704Z] GC before operation: completed in 133.247 ms, heap usage 752.613 MB -> 96.592 MB. [2026-04-22T00:45:20.659Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T00:45:23.677Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T00:45:25.634Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T00:45:27.621Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T00:45:28.575Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T00:45:30.534Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T00:45:31.489Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T00:45:32.444Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T00:45:33.399Z] 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. [2026-04-22T00:45:33.399Z] The best model improves the baseline by 14.52%. [2026-04-22T00:45:33.399Z] Top recommended movies for user id 72: [2026-04-22T00:45:33.399Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T00:45:33.399Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T00:45:33.399Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T00:45:33.399Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T00:45:33.399Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T00:45:33.399Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14590.828 ms) ====== [2026-04-22T00:45:33.399Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-22T00:45:33.399Z] GC before operation: completed in 140.870 ms, heap usage 814.703 MB -> 96.851 MB. [2026-04-22T00:45:35.361Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-22T00:45:38.387Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-22T00:45:40.349Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-22T00:45:42.309Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-22T00:45:43.263Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-22T00:45:45.232Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-22T00:45:46.185Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-22T00:45:48.141Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-22T00:45:48.141Z] 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. [2026-04-22T00:45:48.141Z] The best model improves the baseline by 14.52%. [2026-04-22T00:45:48.141Z] Top recommended movies for user id 72: [2026-04-22T00:45:48.141Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-22T00:45:48.141Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-22T00:45:48.141Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-22T00:45:48.141Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-22T00:45:48.141Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-22T00:45:48.141Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14737.571 ms) ====== [2026-04-22T00:45:49.097Z] ----------------------------------- [2026-04-22T00:45:49.097Z] renaissance-movie-lens_0_PASSED [2026-04-22T00:45:49.097Z] ----------------------------------- [2026-04-22T00:45:49.097Z] [2026-04-22T00:45:49.097Z] TEST TEARDOWN: [2026-04-22T00:45:49.097Z] Nothing to be done for teardown. [2026-04-22T00:45:49.097Z] renaissance-movie-lens_0 Finish Time: Wed Apr 22 00:45:48 2026 Epoch Time (ms): 1776818748109