[2026-02-04T22:51:00.551Z] Running test renaissance-movie-lens_0 ... [2026-02-04T22:51:00.551Z] =============================================== [2026-02-04T22:51:00.551Z] renaissance-movie-lens_0 Start Time: Wed Feb 4 17:51:00 2026 Epoch Time (ms): 1770245460313 [2026-02-04T22:51:00.551Z] variation: NoOptions [2026-02-04T22:51:00.551Z] JVM_OPTIONS: [2026-02-04T22:51:00.551Z] { \ [2026-02-04T22:51:00.551Z] echo ""; echo "TEST SETUP:"; \ [2026-02-04T22:51:00.551Z] echo "Nothing to be done for setup."; \ [2026-02-04T22:51:00.551Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17702451342960/renaissance-movie-lens_0"; \ [2026-02-04T22:51:00.551Z] cd "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17702451342960/renaissance-movie-lens_0"; \ [2026-02-04T22:51:00.551Z] echo ""; echo "TESTING:"; \ [2026-02-04T22:51:00.551Z] "/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_17702451342960/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-04T22:51:00.551Z] 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_17702451342960/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-04T22:51:00.551Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-04T22:51:00.551Z] echo "Nothing to be done for teardown."; \ [2026-02-04T22:51:00.551Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17702451342960/TestTargetResult"; [2026-02-04T22:51:00.551Z] [2026-02-04T22:51:00.551Z] TEST SETUP: [2026-02-04T22:51:00.551Z] Nothing to be done for setup. [2026-02-04T22:51:00.551Z] [2026-02-04T22:51:00.551Z] TESTING: [2026-02-04T22:51:03.730Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-04T22:51:06.918Z] 17:51:06.309 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-04T22:51:07.279Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-04T22:51:07.635Z] Training: 60056, validation: 20285, test: 19854 [2026-02-04T22:51:07.635Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-04T22:51:07.635Z] GC before operation: completed in 58.749 ms, heap usage 279.637 MB -> 75.973 MB. [2026-02-04T22:51:10.791Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:51:12.664Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:51:14.474Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:51:15.725Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:51:16.518Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:51:17.524Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:51:18.318Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:51:19.311Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:51:19.311Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-04T22:51:19.311Z] The best model improves the baseline by 14.52%. [2026-02-04T22:51:19.311Z] Top recommended movies for user id 72: [2026-02-04T22:51:19.311Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T22:51:19.311Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T22:51:19.311Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T22:51:19.311Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T22:51:19.311Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T22:51:19.311Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (11611.904 ms) ====== [2026-02-04T22:51:19.311Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-04T22:51:19.311Z] GC before operation: completed in 77.725 ms, heap usage 501.754 MB -> 95.769 MB. [2026-02-04T22:51:21.363Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:51:23.238Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:51:24.535Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:51:25.909Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:51:26.694Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:51:27.984Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:51:28.760Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:51:29.557Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:51:29.557Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-04T22:51:29.557Z] The best model improves the baseline by 14.52%. [2026-02-04T22:51:29.928Z] Top recommended movies for user id 72: [2026-02-04T22:51:29.928Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T22:51:29.928Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T22:51:29.928Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T22:51:29.928Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T22:51:29.928Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T22:51:29.928Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (10389.210 ms) ====== [2026-02-04T22:51:29.928Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-04T22:51:29.928Z] GC before operation: completed in 68.469 ms, heap usage 211.809 MB -> 88.813 MB. [2026-02-04T22:51:31.181Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:51:32.964Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:51:34.757Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:51:36.000Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:51:36.775Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:51:37.556Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:51:38.349Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:51:39.149Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:51:39.149Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-04T22:51:39.149Z] The best model improves the baseline by 14.52%. [2026-02-04T22:51:39.149Z] Top recommended movies for user id 72: [2026-02-04T22:51:39.149Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T22:51:39.149Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T22:51:39.149Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T22:51:39.149Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T22:51:39.149Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T22:51:39.149Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (9310.668 ms) ====== [2026-02-04T22:51:39.149Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-04T22:51:39.149Z] GC before operation: completed in 71.786 ms, heap usage 546.057 MB -> 93.213 MB. [2026-02-04T22:51:40.986Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:51:42.792Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:51:44.051Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:51:45.345Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:51:46.188Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:51:46.549Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:51:47.323Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:51:48.103Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:51:48.103Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-04T22:51:48.103Z] The best model improves the baseline by 14.52%. [2026-02-04T22:51:48.103Z] Top recommended movies for user id 72: [2026-02-04T22:51:48.103Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T22:51:48.103Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T22:51:48.103Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T22:51:48.103Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T22:51:48.103Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T22:51:48.103Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (9038.555 ms) ====== [2026-02-04T22:51:48.103Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-04T22:51:48.465Z] GC before operation: completed in 46.521 ms, heap usage 198.292 MB -> 89.850 MB. [2026-02-04T22:51:49.725Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:51:50.988Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:51:52.378Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:51:53.618Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:51:54.403Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:51:55.177Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:51:55.961Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:51:56.342Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:51:56.709Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-04T22:51:56.709Z] The best model improves the baseline by 14.52%. [2026-02-04T22:51:56.709Z] Top recommended movies for user id 72: [2026-02-04T22:51:56.709Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T22:51:56.709Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T22:51:56.709Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T22:51:56.709Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T22:51:56.709Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T22:51:56.709Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (8318.840 ms) ====== [2026-02-04T22:51:56.709Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-04T22:51:56.709Z] GC before operation: completed in 60.298 ms, heap usage 122.590 MB -> 92.358 MB. [2026-02-04T22:51:57.966Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:51:59.771Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:52:00.571Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:52:02.427Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:52:03.736Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:52:05.030Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:52:06.304Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:52:07.093Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:52:07.451Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-04T22:52:07.451Z] The best model improves the baseline by 14.52%. [2026-02-04T22:52:07.451Z] Top recommended movies for user id 72: [2026-02-04T22:52:07.451Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T22:52:07.451Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T22:52:07.451Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T22:52:07.451Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T22:52:07.451Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T22:52:07.451Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (10657.204 ms) ====== [2026-02-04T22:52:07.451Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-04T22:52:07.451Z] GC before operation: completed in 53.343 ms, heap usage 404.029 MB -> 90.338 MB. [2026-02-04T22:52:08.737Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:52:10.609Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:52:11.873Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:52:13.129Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:52:13.924Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:52:14.726Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:52:15.977Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:52:16.845Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:52:16.845Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-04T22:52:16.845Z] The best model improves the baseline by 14.52%. [2026-02-04T22:52:16.845Z] Top recommended movies for user id 72: [2026-02-04T22:52:16.845Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T22:52:16.845Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T22:52:16.845Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T22:52:16.845Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T22:52:16.845Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T22:52:16.845Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (9605.537 ms) ====== [2026-02-04T22:52:16.845Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-04T22:52:17.227Z] GC before operation: completed in 82.714 ms, heap usage 271.842 MB -> 90.162 MB. [2026-02-04T22:52:18.573Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:52:19.821Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:52:21.082Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:52:22.870Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:52:23.641Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:52:24.877Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:52:25.660Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:52:26.448Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:52:26.811Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-04T22:52:26.811Z] The best model improves the baseline by 14.52%. [2026-02-04T22:52:26.811Z] Top recommended movies for user id 72: [2026-02-04T22:52:26.811Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T22:52:26.811Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T22:52:26.811Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T22:52:26.811Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T22:52:26.811Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T22:52:26.811Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (9789.848 ms) ====== [2026-02-04T22:52:26.811Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-04T22:52:26.811Z] GC before operation: completed in 65.371 ms, heap usage 172.009 MB -> 90.257 MB. [2026-02-04T22:52:28.626Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:52:30.395Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:52:31.628Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:52:32.853Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:52:34.103Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:52:34.476Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:52:35.251Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:52:36.040Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:52:36.400Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-04T22:52:36.400Z] The best model improves the baseline by 14.52%. [2026-02-04T22:52:36.400Z] Top recommended movies for user id 72: [2026-02-04T22:52:36.400Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T22:52:36.400Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T22:52:36.401Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T22:52:36.401Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T22:52:36.401Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T22:52:36.401Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (9414.149 ms) ====== [2026-02-04T22:52:36.401Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-04T22:52:36.401Z] GC before operation: completed in 54.603 ms, heap usage 513.094 MB -> 90.590 MB. [2026-02-04T22:52:37.644Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:52:38.903Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:52:39.664Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:52:40.911Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:52:41.271Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:52:42.036Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:52:42.396Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:52:43.199Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:52:43.199Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-04T22:52:43.199Z] The best model improves the baseline by 14.52%. [2026-02-04T22:52:43.552Z] Top recommended movies for user id 72: [2026-02-04T22:52:43.552Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T22:52:43.552Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T22:52:43.552Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T22:52:43.552Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T22:52:43.552Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T22:52:43.552Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (6988.305 ms) ====== [2026-02-04T22:52:43.552Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-04T22:52:43.552Z] GC before operation: completed in 43.589 ms, heap usage 371.056 MB -> 90.601 MB. [2026-02-04T22:52:44.793Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:52:46.019Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:52:47.263Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:52:48.498Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:52:49.282Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:52:50.047Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:52:50.826Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:52:51.618Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:52:51.986Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-04T22:52:51.986Z] The best model improves the baseline by 14.52%. [2026-02-04T22:52:51.986Z] Top recommended movies for user id 72: [2026-02-04T22:52:51.986Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T22:52:51.986Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T22:52:51.986Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T22:52:51.986Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T22:52:51.986Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T22:52:51.986Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (8568.878 ms) ====== [2026-02-04T22:52:51.986Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-04T22:52:51.986Z] GC before operation: completed in 55.014 ms, heap usage 423.180 MB -> 90.274 MB. [2026-02-04T22:52:53.799Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:52:55.602Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:52:57.439Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:52:58.696Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:52:59.472Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:53:00.320Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:53:01.111Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:53:01.884Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:53:01.884Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-04T22:53:01.884Z] The best model improves the baseline by 14.52%. [2026-02-04T22:53:01.884Z] Top recommended movies for user id 72: [2026-02-04T22:53:01.884Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T22:53:01.884Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T22:53:01.884Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T22:53:01.884Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T22:53:01.884Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T22:53:01.884Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (9942.983 ms) ====== [2026-02-04T22:53:01.884Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-04T22:53:02.258Z] GC before operation: completed in 48.327 ms, heap usage 411.674 MB -> 90.517 MB. [2026-02-04T22:53:03.571Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:53:04.367Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:53:05.646Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:53:07.453Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:53:08.733Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:53:09.506Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:53:10.479Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:53:10.842Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:53:10.842Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-04T22:53:10.842Z] The best model improves the baseline by 14.52%. [2026-02-04T22:53:10.842Z] Top recommended movies for user id 72: [2026-02-04T22:53:10.842Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T22:53:10.842Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T22:53:10.842Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T22:53:10.842Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T22:53:10.842Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T22:53:10.842Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (8930.406 ms) ====== [2026-02-04T22:53:10.842Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-04T22:53:11.210Z] GC before operation: completed in 58.822 ms, heap usage 156.357 MB -> 90.273 MB. [2026-02-04T22:53:12.049Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:53:13.284Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:53:14.085Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:53:15.368Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:53:16.153Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:53:16.920Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:53:17.706Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:53:18.551Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:53:18.551Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-04T22:53:18.551Z] The best model improves the baseline by 14.52%. [2026-02-04T22:53:18.551Z] Top recommended movies for user id 72: [2026-02-04T22:53:18.551Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T22:53:18.551Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T22:53:18.551Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T22:53:18.551Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T22:53:18.551Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T22:53:18.551Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (7615.917 ms) ====== [2026-02-04T22:53:18.551Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-04T22:53:18.929Z] GC before operation: completed in 65.152 ms, heap usage 258.998 MB -> 90.448 MB. [2026-02-04T22:53:20.169Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:53:21.989Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:53:23.789Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:53:25.589Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:53:26.381Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:53:27.175Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:53:28.008Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:53:29.373Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:53:29.373Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-04T22:53:29.373Z] The best model improves the baseline by 14.52%. [2026-02-04T22:53:29.373Z] Top recommended movies for user id 72: [2026-02-04T22:53:29.373Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T22:53:29.373Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T22:53:29.373Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T22:53:29.373Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T22:53:29.373Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T22:53:29.373Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (10565.358 ms) ====== [2026-02-04T22:53:29.373Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-04T22:53:29.373Z] GC before operation: completed in 42.911 ms, heap usage 119.573 MB -> 90.420 MB. [2026-02-04T22:53:30.619Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:53:32.437Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:53:34.270Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:53:35.515Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:53:36.288Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:53:37.574Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:53:38.489Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:53:39.264Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:53:39.620Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-04T22:53:39.621Z] The best model improves the baseline by 14.52%. [2026-02-04T22:53:39.621Z] Top recommended movies for user id 72: [2026-02-04T22:53:39.621Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T22:53:39.621Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T22:53:39.621Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T22:53:39.621Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T22:53:39.621Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T22:53:39.621Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (10266.101 ms) ====== [2026-02-04T22:53:39.621Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-04T22:53:39.621Z] GC before operation: completed in 67.813 ms, heap usage 297.762 MB -> 90.487 MB. [2026-02-04T22:53:40.863Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:53:42.662Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:53:43.916Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:53:45.711Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:53:46.514Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:53:47.279Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:53:48.515Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:53:49.297Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:53:49.297Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-04T22:53:49.297Z] The best model improves the baseline by 14.52%. [2026-02-04T22:53:49.297Z] Top recommended movies for user id 72: [2026-02-04T22:53:49.297Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T22:53:49.297Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T22:53:49.297Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T22:53:49.297Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T22:53:49.297Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T22:53:49.297Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (9782.430 ms) ====== [2026-02-04T22:53:49.297Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-04T22:53:49.667Z] GC before operation: completed in 58.267 ms, heap usage 264.053 MB -> 90.540 MB. [2026-02-04T22:53:50.935Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:53:52.212Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:53:54.059Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:53:55.359Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:53:56.601Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:53:57.400Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:53:58.241Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:53:59.509Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:53:59.509Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-04T22:53:59.509Z] The best model improves the baseline by 14.52%. [2026-02-04T22:53:59.876Z] Top recommended movies for user id 72: [2026-02-04T22:53:59.876Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T22:53:59.876Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T22:53:59.876Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T22:53:59.876Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T22:53:59.876Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T22:53:59.876Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (10223.510 ms) ====== [2026-02-04T22:53:59.876Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-04T22:53:59.876Z] GC before operation: completed in 54.565 ms, heap usage 140.828 MB -> 90.193 MB. [2026-02-04T22:54:01.724Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:54:03.606Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:54:05.475Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:54:07.285Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:54:08.122Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:54:09.466Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:54:10.280Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:54:11.074Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:54:11.074Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-04T22:54:11.074Z] The best model improves the baseline by 14.52%. [2026-02-04T22:54:11.074Z] Top recommended movies for user id 72: [2026-02-04T22:54:11.074Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T22:54:11.074Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T22:54:11.074Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T22:54:11.074Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T22:54:11.074Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T22:54:11.074Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (11291.082 ms) ====== [2026-02-04T22:54:11.074Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-04T22:54:11.074Z] GC before operation: completed in 42.109 ms, heap usage 154.030 MB -> 93.391 MB. [2026-02-04T22:54:12.305Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:54:13.578Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:54:14.833Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:54:16.074Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:54:16.445Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:54:17.221Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:54:18.010Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:54:18.380Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:54:18.741Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-04T22:54:18.741Z] The best model improves the baseline by 14.52%. [2026-02-04T22:54:18.741Z] Top recommended movies for user id 72: [2026-02-04T22:54:18.741Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T22:54:18.741Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T22:54:18.741Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T22:54:18.741Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T22:54:18.741Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T22:54:18.741Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (7532.581 ms) ====== [2026-02-04T22:54:18.741Z] ----------------------------------- [2026-02-04T22:54:18.741Z] renaissance-movie-lens_0_PASSED [2026-02-04T22:54:18.741Z] ----------------------------------- [2026-02-04T22:54:18.741Z] [2026-02-04T22:54:18.741Z] TEST TEARDOWN: [2026-02-04T22:54:18.741Z] Nothing to be done for teardown. [2026-02-04T22:54:19.098Z] renaissance-movie-lens_0 Finish Time: Wed Feb 4 17:54:18 2026 Epoch Time (ms): 1770245658700