[2026-04-14T12:35:23.044Z] Running test renaissance-movie-lens_0 ... [2026-04-14T12:35:23.044Z] =============================================== [2026-04-14T12:35:23.044Z] renaissance-movie-lens_0 Start Time: Tue Apr 14 12:35:22 2026 Epoch Time (ms): 1776170122847 [2026-04-14T12:35:23.044Z] variation: NoOptions [2026-04-14T12:35:23.044Z] JVM_OPTIONS: [2026-04-14T12:35:23.044Z] { \ [2026-04-14T12:35:23.044Z] echo ""; echo "TEST SETUP:"; \ [2026-04-14T12:35:23.044Z] echo "Nothing to be done for setup."; \ [2026-04-14T12:35:23.044Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17761684555319/renaissance-movie-lens_0"; \ [2026-04-14T12:35:23.044Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17761684555319/renaissance-movie-lens_0"; \ [2026-04-14T12:35:23.044Z] echo ""; echo "TESTING:"; \ [2026-04-14T12:35:23.044Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17761684555319/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-14T12:35:23.044Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17761684555319/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-14T12:35:23.044Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-14T12:35:23.044Z] echo "Nothing to be done for teardown."; \ [2026-04-14T12:35:23.044Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17761684555319/TestTargetResult"; [2026-04-14T12:35:23.044Z] [2026-04-14T12:35:23.044Z] TEST SETUP: [2026-04-14T12:35:23.044Z] Nothing to be done for setup. [2026-04-14T12:35:23.044Z] [2026-04-14T12:35:23.044Z] TESTING: [2026-04-14T12:35:36.580Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-14T12:35:55.043Z] 12:35:53.390 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. [2026-04-14T12:36:00.129Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-14T12:36:01.095Z] Training: 60056, validation: 20285, test: 19854 [2026-04-14T12:36:01.095Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-14T12:36:01.095Z] GC before operation: completed in 263.045 ms, heap usage 409.131 MB -> 76.009 MB. [2026-04-14T12:36:25.872Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T12:36:32.627Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T12:36:42.539Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T12:36:49.302Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T12:36:53.501Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T12:36:58.963Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T12:37:02.698Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T12:37:06.873Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T12:37:07.843Z] 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. [2026-04-14T12:37:07.843Z] The best model improves the baseline by 14.52%. [2026-04-14T12:37:08.807Z] Top recommended movies for user id 72: [2026-04-14T12:37:08.807Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T12:37:08.807Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T12:37:08.807Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T12:37:08.807Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T12:37:08.807Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T12:37:08.807Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (67060.912 ms) ====== [2026-04-14T12:37:08.807Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-14T12:37:08.807Z] GC before operation: completed in 435.917 ms, heap usage 142.426 MB -> 95.185 MB. [2026-04-14T12:37:17.019Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T12:37:23.747Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T12:37:30.495Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T12:37:37.251Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T12:37:41.717Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T12:37:45.901Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T12:37:50.146Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T12:37:54.410Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T12:37:54.410Z] 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. [2026-04-14T12:37:54.410Z] The best model improves the baseline by 14.52%. [2026-04-14T12:37:55.375Z] Top recommended movies for user id 72: [2026-04-14T12:37:55.375Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T12:37:55.375Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T12:37:55.375Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T12:37:55.375Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T12:37:55.375Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T12:37:55.375Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (46226.151 ms) ====== [2026-04-14T12:37:55.375Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-14T12:37:55.375Z] GC before operation: completed in 290.888 ms, heap usage 332.150 MB -> 91.951 MB. [2026-04-14T12:38:01.491Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T12:38:08.291Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T12:38:13.764Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T12:38:20.479Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T12:38:23.503Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T12:38:27.685Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T12:38:30.717Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T12:38:33.760Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T12:38:34.723Z] 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. [2026-04-14T12:38:34.723Z] The best model improves the baseline by 14.52%. [2026-04-14T12:38:34.723Z] Top recommended movies for user id 72: [2026-04-14T12:38:34.723Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T12:38:34.723Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T12:38:34.723Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T12:38:34.723Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T12:38:34.723Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T12:38:34.723Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (39578.162 ms) ====== [2026-04-14T12:38:34.723Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-14T12:38:35.680Z] GC before operation: completed in 329.375 ms, heap usage 771.546 MB -> 93.321 MB. [2026-04-14T12:38:41.277Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T12:38:48.033Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T12:38:54.162Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T12:38:59.609Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T12:39:02.647Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T12:39:06.829Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T12:39:11.031Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T12:39:14.069Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T12:39:14.069Z] 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. [2026-04-14T12:39:14.069Z] The best model improves the baseline by 14.52%. [2026-04-14T12:39:14.069Z] Top recommended movies for user id 72: [2026-04-14T12:39:14.069Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T12:39:14.069Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T12:39:14.069Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T12:39:14.069Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T12:39:14.069Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T12:39:14.069Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (39016.774 ms) ====== [2026-04-14T12:39:14.069Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-14T12:39:15.030Z] GC before operation: completed in 243.765 ms, heap usage 438.426 MB -> 89.948 MB. [2026-04-14T12:39:20.423Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T12:39:25.843Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T12:39:31.255Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T12:39:36.675Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T12:39:39.851Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T12:39:41.819Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T12:39:44.852Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T12:39:47.536Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T12:39:48.500Z] 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. [2026-04-14T12:39:48.500Z] The best model improves the baseline by 14.52%. [2026-04-14T12:39:48.500Z] Top recommended movies for user id 72: [2026-04-14T12:39:48.500Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T12:39:48.500Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T12:39:48.500Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T12:39:48.500Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T12:39:48.500Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T12:39:48.500Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (34078.597 ms) ====== [2026-04-14T12:39:48.500Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-14T12:39:49.463Z] GC before operation: completed in 253.810 ms, heap usage 252.918 MB -> 89.641 MB. [2026-04-14T12:39:53.656Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T12:39:57.823Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T12:40:03.220Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T12:40:07.408Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T12:40:10.510Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T12:40:14.766Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T12:40:19.022Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T12:40:22.122Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T12:40:23.121Z] 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. [2026-04-14T12:40:23.121Z] The best model improves the baseline by 14.52%. [2026-04-14T12:40:23.121Z] Top recommended movies for user id 72: [2026-04-14T12:40:23.121Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T12:40:23.121Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T12:40:23.121Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T12:40:23.121Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T12:40:23.121Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T12:40:23.121Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (34193.540 ms) ====== [2026-04-14T12:40:23.121Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-14T12:40:23.121Z] GC before operation: completed in 315.494 ms, heap usage 596.101 MB -> 93.698 MB. [2026-04-14T12:40:30.036Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T12:40:36.879Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T12:40:43.250Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T12:40:48.750Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T12:40:50.739Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T12:40:54.929Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T12:40:57.962Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T12:41:01.014Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T12:41:01.014Z] 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. [2026-04-14T12:41:01.014Z] The best model improves the baseline by 14.52%. [2026-04-14T12:41:02.027Z] Top recommended movies for user id 72: [2026-04-14T12:41:02.028Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T12:41:02.028Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T12:41:02.028Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T12:41:02.028Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T12:41:02.028Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T12:41:02.028Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (38151.984 ms) ====== [2026-04-14T12:41:02.028Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-14T12:41:02.028Z] GC before operation: completed in 329.194 ms, heap usage 510.306 MB -> 93.701 MB. [2026-04-14T12:41:08.746Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T12:41:14.140Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T12:41:20.911Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T12:41:26.326Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T12:41:29.371Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T12:41:32.604Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T12:41:35.687Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T12:41:39.544Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T12:41:39.544Z] 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. [2026-04-14T12:41:39.544Z] The best model improves the baseline by 14.52%. [2026-04-14T12:41:39.544Z] Top recommended movies for user id 72: [2026-04-14T12:41:39.544Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T12:41:39.544Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T12:41:39.544Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T12:41:39.544Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T12:41:39.544Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T12:41:39.544Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (37243.518 ms) ====== [2026-04-14T12:41:39.544Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-14T12:41:39.544Z] GC before operation: completed in 324.810 ms, heap usage 506.612 MB -> 94.873 MB. [2026-04-14T12:41:44.990Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T12:41:50.400Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T12:41:55.814Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T12:42:01.223Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T12:42:03.207Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T12:42:07.392Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T12:42:10.440Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T12:42:14.683Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T12:42:14.683Z] 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. [2026-04-14T12:42:14.683Z] The best model improves the baseline by 14.52%. [2026-04-14T12:42:15.643Z] Top recommended movies for user id 72: [2026-04-14T12:42:15.643Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T12:42:15.643Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T12:42:15.643Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T12:42:15.643Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T12:42:15.643Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T12:42:15.643Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (35741.518 ms) ====== [2026-04-14T12:42:15.643Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-14T12:42:15.643Z] GC before operation: completed in 317.432 ms, heap usage 227.061 MB -> 93.365 MB. [2026-04-14T12:42:22.369Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T12:42:26.562Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T12:42:33.276Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T12:42:39.384Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T12:42:41.358Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T12:42:43.506Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T12:42:46.531Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T12:42:49.568Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T12:42:50.524Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-14T12:42:50.524Z] The best model improves the baseline by 14.52%. [2026-04-14T12:42:50.524Z] Top recommended movies for user id 72: [2026-04-14T12:42:50.524Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T12:42:50.524Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T12:42:50.524Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T12:42:50.524Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T12:42:50.524Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T12:42:50.524Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (35100.787 ms) ====== [2026-04-14T12:42:50.524Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-14T12:42:51.479Z] GC before operation: completed in 305.701 ms, heap usage 873.791 MB -> 97.219 MB. [2026-04-14T12:42:56.871Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T12:43:02.254Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T12:43:07.658Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T12:43:13.045Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T12:43:16.086Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T12:43:19.139Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T12:43:22.188Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T12:43:25.216Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T12:43:25.216Z] 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. [2026-04-14T12:43:25.216Z] The best model improves the baseline by 14.52%. [2026-04-14T12:43:26.182Z] Top recommended movies for user id 72: [2026-04-14T12:43:26.182Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T12:43:26.182Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T12:43:26.182Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T12:43:26.182Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T12:43:26.182Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T12:43:26.182Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (35007.842 ms) ====== [2026-04-14T12:43:26.182Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-14T12:43:26.182Z] GC before operation: completed in 279.705 ms, heap usage 237.232 MB -> 93.712 MB. [2026-04-14T12:43:31.051Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T12:43:35.285Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T12:43:39.546Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T12:43:42.621Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T12:43:45.667Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T12:43:47.637Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T12:43:50.659Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T12:43:52.624Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T12:43:53.584Z] 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. [2026-04-14T12:43:53.584Z] The best model improves the baseline by 14.52%. [2026-04-14T12:43:53.584Z] Top recommended movies for user id 72: [2026-04-14T12:43:53.584Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T12:43:53.584Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T12:43:53.584Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T12:43:53.584Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T12:43:53.584Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T12:43:53.584Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (27347.051 ms) ====== [2026-04-14T12:43:53.584Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-14T12:43:53.584Z] GC before operation: completed in 290.403 ms, heap usage 606.582 MB -> 96.123 MB. [2026-04-14T12:44:00.301Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T12:44:05.687Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T12:44:11.063Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T12:44:16.466Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T12:44:19.498Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T12:44:22.951Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T12:44:25.982Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T12:44:29.012Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T12:44:29.012Z] 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. [2026-04-14T12:44:29.012Z] The best model improves the baseline by 14.52%. [2026-04-14T12:44:29.976Z] Top recommended movies for user id 72: [2026-04-14T12:44:29.976Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T12:44:29.976Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T12:44:29.976Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T12:44:29.976Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T12:44:29.976Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T12:44:29.976Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (35970.655 ms) ====== [2026-04-14T12:44:29.976Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-14T12:44:29.976Z] GC before operation: completed in 272.837 ms, heap usage 210.886 MB -> 95.478 MB. [2026-04-14T12:44:35.382Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T12:44:39.541Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T12:44:43.721Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T12:44:49.121Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T12:44:52.163Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T12:44:55.193Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T12:44:58.220Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T12:45:00.184Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T12:45:01.141Z] 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. [2026-04-14T12:45:01.141Z] The best model improves the baseline by 14.52%. [2026-04-14T12:45:01.141Z] Top recommended movies for user id 72: [2026-04-14T12:45:01.141Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T12:45:01.141Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T12:45:01.141Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T12:45:01.141Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T12:45:01.141Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T12:45:01.141Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (31146.129 ms) ====== [2026-04-14T12:45:01.141Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-14T12:45:02.098Z] GC before operation: completed in 323.999 ms, heap usage 246.682 MB -> 92.323 MB. [2026-04-14T12:45:07.494Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T12:45:11.658Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T12:45:16.545Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T12:45:21.927Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T12:45:24.953Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T12:45:27.977Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T12:45:31.004Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T12:45:34.039Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T12:45:34.039Z] 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. [2026-04-14T12:45:34.039Z] The best model improves the baseline by 14.52%. [2026-04-14T12:45:34.999Z] Top recommended movies for user id 72: [2026-04-14T12:45:34.999Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T12:45:34.999Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T12:45:34.999Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T12:45:34.999Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T12:45:34.999Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T12:45:34.999Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (33032.977 ms) ====== [2026-04-14T12:45:34.999Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-14T12:45:34.999Z] GC before operation: completed in 319.356 ms, heap usage 185.432 MB -> 96.015 MB. [2026-04-14T12:45:40.501Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T12:45:45.919Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T12:45:51.315Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T12:45:56.824Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T12:45:58.834Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T12:46:01.935Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T12:46:05.027Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T12:46:07.737Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T12:46:08.797Z] 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. [2026-04-14T12:46:08.797Z] The best model improves the baseline by 14.52%. [2026-04-14T12:46:08.797Z] Top recommended movies for user id 72: [2026-04-14T12:46:08.797Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T12:46:08.797Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T12:46:08.797Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T12:46:08.797Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T12:46:08.797Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T12:46:08.797Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (33050.791 ms) ====== [2026-04-14T12:46:08.797Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-14T12:46:08.797Z] GC before operation: completed in 255.194 ms, heap usage 243.438 MB -> 95.896 MB. [2026-04-14T12:46:13.070Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T12:46:17.309Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T12:46:22.817Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T12:46:26.970Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T12:46:29.997Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T12:46:33.049Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T12:46:36.086Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T12:46:38.132Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T12:46:38.132Z] 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. [2026-04-14T12:46:38.132Z] The best model improves the baseline by 14.52%. [2026-04-14T12:46:39.103Z] Top recommended movies for user id 72: [2026-04-14T12:46:39.103Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T12:46:39.103Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T12:46:39.103Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T12:46:39.103Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T12:46:39.103Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T12:46:39.103Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (30484.784 ms) ====== [2026-04-14T12:46:39.103Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-14T12:46:39.103Z] GC before operation: completed in 265.187 ms, heap usage 609.678 MB -> 97.454 MB. [2026-04-14T12:46:43.272Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T12:46:47.450Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T12:46:51.616Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T12:46:57.021Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T12:47:00.072Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T12:47:03.798Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T12:47:06.833Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T12:47:09.867Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T12:47:09.868Z] 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. [2026-04-14T12:47:10.827Z] The best model improves the baseline by 14.52%. [2026-04-14T12:47:10.827Z] Top recommended movies for user id 72: [2026-04-14T12:47:10.827Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T12:47:10.827Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T12:47:10.827Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T12:47:10.827Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T12:47:10.827Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T12:47:10.827Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (31557.870 ms) ====== [2026-04-14T12:47:10.827Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-14T12:47:10.827Z] GC before operation: completed in 238.330 ms, heap usage 495.302 MB -> 93.767 MB. [2026-04-14T12:47:16.334Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T12:47:21.789Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T12:47:27.245Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T12:47:31.428Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T12:47:34.462Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T12:47:37.499Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T12:47:40.563Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T12:47:43.767Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T12:47:43.767Z] 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. [2026-04-14T12:47:43.767Z] The best model improves the baseline by 14.52%. [2026-04-14T12:47:44.742Z] Top recommended movies for user id 72: [2026-04-14T12:47:44.742Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T12:47:44.742Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T12:47:44.742Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T12:47:44.742Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T12:47:44.742Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T12:47:44.742Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (33416.502 ms) ====== [2026-04-14T12:47:44.742Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-14T12:47:44.742Z] GC before operation: completed in 238.316 ms, heap usage 175.634 MB -> 93.378 MB. [2026-04-14T12:47:50.509Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T12:47:55.035Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T12:48:01.760Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T12:48:07.182Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T12:48:09.173Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T12:48:12.263Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T12:48:15.308Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T12:48:18.341Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T12:48:18.341Z] 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. [2026-04-14T12:48:18.341Z] The best model improves the baseline by 14.52%. [2026-04-14T12:48:18.341Z] Top recommended movies for user id 72: [2026-04-14T12:48:18.341Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T12:48:18.341Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T12:48:18.341Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T12:48:18.341Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T12:48:18.341Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T12:48:18.341Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (34092.885 ms) ====== [2026-04-14T12:48:20.317Z] ----------------------------------- [2026-04-14T12:48:20.317Z] renaissance-movie-lens_0_PASSED [2026-04-14T12:48:20.317Z] ----------------------------------- [2026-04-14T12:48:20.317Z] [2026-04-14T12:48:20.317Z] TEST TEARDOWN: [2026-04-14T12:48:20.317Z] Nothing to be done for teardown. [2026-04-14T12:48:20.317Z] renaissance-movie-lens_0 Finish Time: Tue Apr 14 12:48:19 2026 Epoch Time (ms): 1776170899313