[2026-01-21T11:18:36.948Z] Running test renaissance-movie-lens_0 ... [2026-01-21T11:18:36.948Z] =============================================== [2026-01-21T11:18:36.948Z] renaissance-movie-lens_0 Start Time: Wed Jan 21 06:18:36 2026 Epoch Time (ms): 1768994316838 [2026-01-21T11:18:36.948Z] variation: NoOptions [2026-01-21T11:18:36.948Z] JVM_OPTIONS: [2026-01-21T11:18:36.948Z] { \ [2026-01-21T11:18:36.948Z] echo ""; echo "TEST SETUP:"; \ [2026-01-21T11:18:36.948Z] echo "Nothing to be done for setup."; \ [2026-01-21T11:18:36.948Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17689940006131/renaissance-movie-lens_0"; \ [2026-01-21T11:18:36.948Z] cd "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17689940006131/renaissance-movie-lens_0"; \ [2026-01-21T11:18:36.948Z] echo ""; echo "TESTING:"; \ [2026-01-21T11:18:36.948Z] "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//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 "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17689940006131/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-21T11:18:36.948Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17689940006131/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-21T11:18:36.948Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-21T11:18:36.948Z] echo "Nothing to be done for teardown."; \ [2026-01-21T11:18:36.948Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17689940006131/TestTargetResult"; [2026-01-21T11:18:36.948Z] [2026-01-21T11:18:36.948Z] TEST SETUP: [2026-01-21T11:18:36.948Z] Nothing to be done for setup. [2026-01-21T11:18:36.948Z] [2026-01-21T11:18:36.948Z] TESTING: [2026-01-21T11:18:39.375Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-21T11:18:41.954Z] 06:18:41.625 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. [2026-01-21T11:18:42.735Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-21T11:18:42.735Z] Training: 60056, validation: 20285, test: 19854 [2026-01-21T11:18:42.735Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-21T11:18:42.735Z] GC before operation: completed in 87.312 ms, heap usage 326.330 MB -> 76.041 MB. [2026-01-21T11:18:45.180Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:18:46.980Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:18:48.252Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:18:50.061Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:18:50.901Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:18:51.689Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:18:52.469Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:18:53.267Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:18:53.267Z] 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. [2026-01-21T11:18:53.267Z] The best model improves the baseline by 14.52%. [2026-01-21T11:18:53.267Z] Top recommended movies for user id 72: [2026-01-21T11:18:53.267Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T11:18:53.267Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T11:18:53.267Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T11:18:53.267Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T11:18:53.267Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T11:18:53.267Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (10559.541 ms) ====== [2026-01-21T11:18:53.267Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-21T11:18:53.630Z] GC before operation: completed in 51.481 ms, heap usage 383.325 MB -> 86.951 MB. [2026-01-21T11:18:54.881Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:18:56.141Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:18:57.424Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:18:58.756Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:18:59.123Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:18:59.912Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:19:00.714Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:19:01.513Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:19:01.513Z] 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. [2026-01-21T11:19:01.513Z] The best model improves the baseline by 14.52%. [2026-01-21T11:19:01.513Z] Top recommended movies for user id 72: [2026-01-21T11:19:01.513Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T11:19:01.513Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T11:19:01.513Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T11:19:01.513Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T11:19:01.513Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T11:19:01.513Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (8159.374 ms) ====== [2026-01-21T11:19:01.513Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-21T11:19:01.513Z] GC before operation: completed in 58.087 ms, heap usage 210.094 MB -> 88.971 MB. [2026-01-21T11:19:02.933Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:19:04.215Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:19:05.475Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:19:06.778Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:19:07.145Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:19:07.932Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:19:08.710Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:19:09.089Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:19:09.454Z] 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. [2026-01-21T11:19:09.454Z] The best model improves the baseline by 14.52%. [2026-01-21T11:19:09.454Z] Top recommended movies for user id 72: [2026-01-21T11:19:09.454Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T11:19:09.454Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T11:19:09.454Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T11:19:09.454Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T11:19:09.454Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T11:19:09.454Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (7760.761 ms) ====== [2026-01-21T11:19:09.454Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-21T11:19:09.454Z] GC before operation: completed in 70.298 ms, heap usage 278.057 MB -> 89.670 MB. [2026-01-21T11:19:10.711Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:19:11.959Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:19:12.758Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:19:14.022Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:19:14.801Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:19:15.580Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:19:16.358Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:19:17.159Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:19:17.159Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-21T11:19:17.159Z] The best model improves the baseline by 14.52%. [2026-01-21T11:19:17.159Z] Top recommended movies for user id 72: [2026-01-21T11:19:17.159Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T11:19:17.159Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T11:19:17.159Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T11:19:17.159Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T11:19:17.159Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T11:19:17.159Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (7641.564 ms) ====== [2026-01-21T11:19:17.159Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-21T11:19:17.159Z] GC before operation: completed in 66.305 ms, heap usage 123.237 MB -> 91.611 MB. [2026-01-21T11:19:18.407Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:19:20.225Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:19:21.510Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:19:23.362Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:19:24.154Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:19:24.951Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:19:25.740Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:19:26.523Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:19:26.523Z] 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. [2026-01-21T11:19:26.523Z] The best model improves the baseline by 14.52%. [2026-01-21T11:19:26.886Z] Top recommended movies for user id 72: [2026-01-21T11:19:26.886Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T11:19:26.886Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T11:19:26.886Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T11:19:26.886Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T11:19:26.886Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T11:19:26.886Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (9570.993 ms) ====== [2026-01-21T11:19:26.886Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-21T11:19:26.886Z] GC before operation: completed in 48.545 ms, heap usage 337.418 MB -> 89.913 MB. [2026-01-21T11:19:28.147Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:19:29.989Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:19:31.822Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:19:33.070Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:19:33.860Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:19:35.159Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:19:35.941Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:19:36.730Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:19:36.730Z] 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. [2026-01-21T11:19:36.730Z] The best model improves the baseline by 14.52%. [2026-01-21T11:19:37.096Z] Top recommended movies for user id 72: [2026-01-21T11:19:37.096Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T11:19:37.096Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T11:19:37.096Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T11:19:37.096Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T11:19:37.096Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T11:19:37.096Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (10109.222 ms) ====== [2026-01-21T11:19:37.096Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-21T11:19:37.096Z] GC before operation: completed in 51.717 ms, heap usage 207.668 MB -> 90.130 MB. [2026-01-21T11:19:38.925Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:19:40.186Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:19:40.968Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:19:42.229Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:19:43.026Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:19:43.391Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:19:44.171Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:19:44.536Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:19:44.899Z] 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. [2026-01-21T11:19:44.899Z] The best model improves the baseline by 14.52%. [2026-01-21T11:19:44.899Z] Top recommended movies for user id 72: [2026-01-21T11:19:44.899Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T11:19:44.899Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T11:19:44.899Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T11:19:44.899Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T11:19:44.899Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T11:19:44.899Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (7848.589 ms) ====== [2026-01-21T11:19:44.899Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-21T11:19:44.899Z] GC before operation: completed in 46.158 ms, heap usage 235.878 MB -> 90.054 MB. [2026-01-21T11:19:46.164Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:19:46.946Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:19:48.204Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:19:48.991Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:19:49.773Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:19:50.555Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:19:50.924Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:19:51.717Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:19:51.717Z] 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. [2026-01-21T11:19:51.717Z] The best model improves the baseline by 14.52%. [2026-01-21T11:19:51.717Z] Top recommended movies for user id 72: [2026-01-21T11:19:51.717Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T11:19:51.717Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T11:19:51.717Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T11:19:51.717Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T11:19:51.717Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T11:19:51.717Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (6891.030 ms) ====== [2026-01-21T11:19:51.717Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-21T11:19:51.717Z] GC before operation: completed in 49.229 ms, heap usage 495.905 MB -> 90.760 MB. [2026-01-21T11:19:53.024Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:19:54.278Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:19:55.192Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:19:56.455Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:19:56.817Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:19:57.620Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:19:57.984Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:19:58.784Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:19:58.784Z] 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. [2026-01-21T11:19:58.784Z] The best model improves the baseline by 14.52%. [2026-01-21T11:19:58.784Z] Top recommended movies for user id 72: [2026-01-21T11:19:58.784Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T11:19:58.784Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T11:19:58.784Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T11:19:58.784Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T11:19:58.784Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T11:19:58.784Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (6945.058 ms) ====== [2026-01-21T11:19:58.784Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-21T11:19:58.784Z] GC before operation: completed in 48.094 ms, heap usage 213.434 MB -> 90.181 MB. [2026-01-21T11:20:00.037Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:20:00.832Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:20:02.103Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:20:02.902Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:20:03.695Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:20:04.074Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:20:04.862Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:20:05.664Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:20:05.664Z] 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. [2026-01-21T11:20:05.664Z] The best model improves the baseline by 14.52%. [2026-01-21T11:20:05.664Z] Top recommended movies for user id 72: [2026-01-21T11:20:05.664Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T11:20:05.664Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T11:20:05.664Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T11:20:05.664Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T11:20:05.664Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T11:20:05.664Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (7001.686 ms) ====== [2026-01-21T11:20:05.664Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-21T11:20:06.035Z] GC before operation: completed in 49.999 ms, heap usage 430.857 MB -> 90.609 MB. [2026-01-21T11:20:07.303Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:20:08.567Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:20:09.854Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:20:11.181Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:20:11.962Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:20:12.907Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:20:13.314Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:20:14.149Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:20:14.555Z] 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. [2026-01-21T11:20:14.555Z] The best model improves the baseline by 14.52%. [2026-01-21T11:20:14.555Z] Top recommended movies for user id 72: [2026-01-21T11:20:14.555Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T11:20:14.555Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T11:20:14.555Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T11:20:14.555Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T11:20:14.555Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T11:20:14.555Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (8591.781 ms) ====== [2026-01-21T11:20:14.555Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-21T11:20:14.555Z] GC before operation: completed in 42.782 ms, heap usage 530.053 MB -> 93.707 MB. [2026-01-21T11:20:15.819Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:20:16.613Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:20:17.885Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:20:18.663Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:20:19.462Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:20:20.249Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:20:21.044Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:20:21.429Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:20:21.429Z] 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. [2026-01-21T11:20:21.429Z] The best model improves the baseline by 14.52%. [2026-01-21T11:20:21.804Z] Top recommended movies for user id 72: [2026-01-21T11:20:21.804Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T11:20:21.804Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T11:20:21.804Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T11:20:21.804Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T11:20:21.804Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T11:20:21.804Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (7125.471 ms) ====== [2026-01-21T11:20:21.804Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-21T11:20:21.804Z] GC before operation: completed in 50.366 ms, heap usage 352.252 MB -> 90.589 MB. [2026-01-21T11:20:23.090Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:20:23.898Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:20:24.707Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:20:25.990Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:20:26.379Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:20:27.162Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:20:27.529Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:20:28.313Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:20:28.313Z] 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. [2026-01-21T11:20:28.313Z] The best model improves the baseline by 14.52%. [2026-01-21T11:20:28.313Z] Top recommended movies for user id 72: [2026-01-21T11:20:28.313Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T11:20:28.313Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T11:20:28.313Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T11:20:28.313Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T11:20:28.313Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T11:20:28.313Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (6644.388 ms) ====== [2026-01-21T11:20:28.313Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-21T11:20:28.313Z] GC before operation: completed in 45.429 ms, heap usage 235.149 MB -> 90.429 MB. [2026-01-21T11:20:29.569Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:20:30.350Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:20:31.129Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:20:32.393Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:20:32.760Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:20:33.562Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:20:33.925Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:20:34.717Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:20:34.718Z] 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. [2026-01-21T11:20:34.718Z] The best model improves the baseline by 14.52%. [2026-01-21T11:20:34.718Z] Top recommended movies for user id 72: [2026-01-21T11:20:34.718Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T11:20:34.718Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T11:20:34.718Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T11:20:34.718Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T11:20:34.718Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T11:20:34.718Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (6321.993 ms) ====== [2026-01-21T11:20:34.718Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-21T11:20:34.718Z] GC before operation: completed in 41.739 ms, heap usage 504.634 MB -> 90.695 MB. [2026-01-21T11:20:35.999Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:20:37.270Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:20:38.529Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:20:39.308Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:20:40.096Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:20:40.877Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:20:41.677Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:20:42.046Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:20:42.046Z] 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. [2026-01-21T11:20:42.046Z] The best model improves the baseline by 14.52%. [2026-01-21T11:20:42.046Z] Top recommended movies for user id 72: [2026-01-21T11:20:42.046Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T11:20:42.046Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T11:20:42.046Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T11:20:42.046Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T11:20:42.046Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T11:20:42.046Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (7476.540 ms) ====== [2026-01-21T11:20:42.046Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-21T11:20:42.410Z] GC before operation: completed in 50.062 ms, heap usage 237.529 MB -> 90.508 MB. [2026-01-21T11:20:43.231Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:20:44.491Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:20:45.834Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:20:46.630Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:20:47.009Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:20:47.787Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:20:48.612Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:20:48.980Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:20:48.980Z] 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. [2026-01-21T11:20:48.980Z] The best model improves the baseline by 14.52%. [2026-01-21T11:20:49.341Z] Top recommended movies for user id 72: [2026-01-21T11:20:49.341Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T11:20:49.341Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T11:20:49.341Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T11:20:49.341Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T11:20:49.341Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T11:20:49.341Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (6936.424 ms) ====== [2026-01-21T11:20:49.341Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-21T11:20:49.341Z] GC before operation: completed in 48.549 ms, heap usage 475.420 MB -> 90.807 MB. [2026-01-21T11:20:50.603Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:20:51.879Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:20:53.720Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:20:54.507Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:20:55.284Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:20:56.064Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:20:56.870Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:20:57.240Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:20:57.621Z] 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. [2026-01-21T11:20:57.621Z] The best model improves the baseline by 14.52%. [2026-01-21T11:20:57.621Z] Top recommended movies for user id 72: [2026-01-21T11:20:57.621Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T11:20:57.621Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T11:20:57.621Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T11:20:57.621Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T11:20:57.621Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T11:20:57.621Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (8334.964 ms) ====== [2026-01-21T11:20:57.621Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-21T11:20:57.621Z] GC before operation: completed in 55.205 ms, heap usage 207.581 MB -> 90.425 MB. [2026-01-21T11:20:58.877Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:21:00.141Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:21:01.418Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:21:02.699Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:21:04.015Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:21:04.819Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:21:05.602Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:21:06.395Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:21:06.395Z] 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. [2026-01-21T11:21:06.395Z] The best model improves the baseline by 14.52%. [2026-01-21T11:21:06.768Z] Top recommended movies for user id 72: [2026-01-21T11:21:06.768Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T11:21:06.768Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T11:21:06.768Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T11:21:06.768Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T11:21:06.768Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T11:21:06.768Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (8986.556 ms) ====== [2026-01-21T11:21:06.768Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-21T11:21:06.768Z] GC before operation: completed in 45.183 ms, heap usage 102.121 MB -> 90.016 MB. [2026-01-21T11:21:08.035Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:21:10.507Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:21:11.775Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:21:13.029Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:21:13.396Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:21:14.664Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:21:15.484Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:21:16.757Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:21:16.757Z] 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. [2026-01-21T11:21:16.757Z] The best model improves the baseline by 14.52%. [2026-01-21T11:21:17.136Z] Top recommended movies for user id 72: [2026-01-21T11:21:17.136Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T11:21:17.136Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T11:21:17.136Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T11:21:17.136Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T11:21:17.136Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T11:21:17.136Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (10345.699 ms) ====== [2026-01-21T11:21:17.136Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-21T11:21:17.136Z] GC before operation: completed in 78.439 ms, heap usage 354.239 MB -> 90.519 MB. [2026-01-21T11:21:18.962Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:21:20.790Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:21:22.635Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:21:23.920Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:21:25.247Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:21:25.666Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:21:26.939Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:21:27.734Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:21:27.734Z] 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. [2026-01-21T11:21:28.100Z] The best model improves the baseline by 14.52%. [2026-01-21T11:21:28.100Z] Top recommended movies for user id 72: [2026-01-21T11:21:28.100Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T11:21:28.100Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T11:21:28.100Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T11:21:28.100Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T11:21:28.100Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T11:21:28.100Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (10924.656 ms) ====== [2026-01-21T11:21:28.469Z] ----------------------------------- [2026-01-21T11:21:28.469Z] renaissance-movie-lens_0_PASSED [2026-01-21T11:21:28.469Z] ----------------------------------- [2026-01-21T11:21:28.469Z] [2026-01-21T11:21:28.469Z] TEST TEARDOWN: [2026-01-21T11:21:28.469Z] Nothing to be done for teardown. [2026-01-21T11:21:28.469Z] renaissance-movie-lens_0 Finish Time: Wed Jan 21 06:21:28 2026 Epoch Time (ms): 1768994488160