[2026-03-06T02:46:06.928Z] Running test renaissance-movie-lens_0 ... [2026-03-06T02:46:06.928Z] =============================================== [2026-03-06T02:46:06.928Z] renaissance-movie-lens_0 Start Time: Fri Mar 6 02:46:06 2026 Epoch Time (ms): 1772765166790 [2026-03-06T02:46:06.928Z] variation: NoOptions [2026-03-06T02:46:07.285Z] JVM_OPTIONS: [2026-03-06T02:46:07.285Z] { \ [2026-03-06T02:46:07.285Z] echo ""; echo "TEST SETUP:"; \ [2026-03-06T02:46:07.285Z] echo "Nothing to be done for setup."; \ [2026-03-06T02:46:07.285Z] mkdir -p "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17727640145673\\renaissance-movie-lens_0"; \ [2026-03-06T02:46:07.285Z] cd "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17727640145673\\renaissance-movie-lens_0"; \ [2026-03-06T02:46:07.285Z] echo ""; echo "TESTING:"; \ [2026-03-06T02:46:07.285Z] "c:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/jdkbinary/j2sdk-image\\bin\\java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17727640145673\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2026-03-06T02:46:07.285Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17727640145673\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-06T02:46:07.285Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-06T02:46:07.285Z] echo "Nothing to be done for teardown."; \ [2026-03-06T02:46:07.285Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17727640145673\\TestTargetResult"; [2026-03-06T02:46:07.285Z] [2026-03-06T02:46:07.285Z] TEST SETUP: [2026-03-06T02:46:07.285Z] Nothing to be done for setup. [2026-03-06T02:46:07.285Z] [2026-03-06T02:46:07.285Z] TESTING: [2026-03-06T02:46:08.043Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-03-06T02:46:08.043Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/TKG/output_17727640145673/renaissance-movie-lens_0/launcher-024607-5813826410107285841/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-03-06T02:46:08.043Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-03-06T02:46:08.043Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-03-06T02:46:21.301Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-03-06T02:46:28.572Z] 02:46:27.947 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-03-06T02:46:29.817Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-06T02:46:30.616Z] Training: 60056, validation: 20285, test: 19854 [2026-03-06T02:46:30.616Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-06T02:46:30.616Z] GC before operation: completed in 134.859 ms, heap usage 343.537 MB -> 76.000 MB. [2026-03-06T02:46:44.072Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T02:46:53.118Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T02:47:02.171Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T02:47:09.612Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T02:47:14.503Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T02:47:19.616Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T02:47:24.539Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T02:47:28.451Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T02:47:29.220Z] 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. [2026-03-06T02:47:29.220Z] The best model improves the baseline by 14.52%. [2026-03-06T02:47:29.621Z] Top recommended movies for user id 72: [2026-03-06T02:47:29.621Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T02:47:29.621Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T02:47:29.621Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T02:47:29.621Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T02:47:29.621Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T02:47:29.621Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (58806.182 ms) ====== [2026-03-06T02:47:29.621Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-06T02:47:29.621Z] GC before operation: completed in 129.656 ms, heap usage 204.854 MB -> 86.636 MB. [2026-03-06T02:47:37.028Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T02:47:44.457Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T02:47:53.503Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T02:47:59.530Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T02:48:04.390Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T02:48:08.265Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T02:48:13.103Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T02:48:16.996Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T02:48:16.996Z] 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. [2026-03-06T02:48:16.996Z] The best model improves the baseline by 14.52%. [2026-03-06T02:48:17.354Z] Top recommended movies for user id 72: [2026-03-06T02:48:17.354Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T02:48:17.354Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T02:48:17.354Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T02:48:17.354Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T02:48:17.354Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T02:48:17.354Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (47779.689 ms) ====== [2026-03-06T02:48:17.354Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-06T02:48:17.354Z] GC before operation: completed in 132.644 ms, heap usage 749.540 MB -> 92.602 MB. [2026-03-06T02:48:24.750Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T02:48:32.147Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T02:48:39.557Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T02:48:46.976Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T02:48:50.855Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T02:48:54.745Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T02:48:58.625Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T02:49:02.513Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T02:49:02.863Z] 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. [2026-03-06T02:49:02.863Z] The best model improves the baseline by 14.52%. [2026-03-06T02:49:03.246Z] Top recommended movies for user id 72: [2026-03-06T02:49:03.246Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T02:49:03.246Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T02:49:03.246Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T02:49:03.246Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T02:49:03.246Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T02:49:03.246Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (45651.053 ms) ====== [2026-03-06T02:49:03.246Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-06T02:49:03.246Z] GC before operation: completed in 122.289 ms, heap usage 812.752 MB -> 93.470 MB. [2026-03-06T02:49:10.660Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T02:49:18.071Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T02:49:25.522Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T02:49:32.922Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T02:49:36.807Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T02:49:40.701Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T02:49:45.567Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T02:49:49.451Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T02:49:50.247Z] 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. [2026-03-06T02:49:50.247Z] The best model improves the baseline by 14.52%. [2026-03-06T02:49:50.247Z] Top recommended movies for user id 72: [2026-03-06T02:49:50.247Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T02:49:50.247Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T02:49:50.247Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T02:49:50.247Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T02:49:50.247Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T02:49:50.247Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (47064.548 ms) ====== [2026-03-06T02:49:50.247Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-06T02:49:50.605Z] GC before operation: completed in 125.126 ms, heap usage 117.676 MB -> 89.591 MB. [2026-03-06T02:49:58.016Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T02:50:05.425Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T02:50:12.850Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T02:50:20.248Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T02:50:24.122Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T02:50:27.997Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T02:50:32.942Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T02:50:37.810Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T02:50:37.810Z] 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. [2026-03-06T02:50:37.810Z] The best model improves the baseline by 14.52%. [2026-03-06T02:50:37.810Z] Top recommended movies for user id 72: [2026-03-06T02:50:37.810Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T02:50:37.810Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T02:50:37.810Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T02:50:37.810Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T02:50:37.810Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T02:50:37.810Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (47441.019 ms) ====== [2026-03-06T02:50:37.810Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-06T02:50:38.167Z] GC before operation: completed in 120.301 ms, heap usage 453.651 MB -> 89.967 MB. [2026-03-06T02:50:45.616Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T02:50:51.634Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T02:51:00.655Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T02:51:06.681Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T02:51:10.572Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T02:51:14.478Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T02:51:19.372Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T02:51:23.251Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T02:51:23.635Z] 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. [2026-03-06T02:51:23.635Z] The best model improves the baseline by 14.52%. [2026-03-06T02:51:23.991Z] Top recommended movies for user id 72: [2026-03-06T02:51:23.991Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T02:51:23.991Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T02:51:23.991Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T02:51:23.991Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T02:51:23.991Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T02:51:23.991Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (46002.538 ms) ====== [2026-03-06T02:51:23.991Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-06T02:51:23.991Z] GC before operation: completed in 116.933 ms, heap usage 364.515 MB -> 90.186 MB. [2026-03-06T02:51:31.423Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T02:51:37.472Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T02:51:46.504Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T02:51:52.532Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T02:51:57.397Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T02:52:00.459Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T02:52:05.340Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T02:52:09.229Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T02:52:09.582Z] 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. [2026-03-06T02:52:09.582Z] The best model improves the baseline by 14.52%. [2026-03-06T02:52:09.937Z] Top recommended movies for user id 72: [2026-03-06T02:52:09.937Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T02:52:09.937Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T02:52:09.937Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T02:52:09.937Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T02:52:09.937Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T02:52:09.937Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (45734.011 ms) ====== [2026-03-06T02:52:09.937Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-06T02:52:09.937Z] GC before operation: completed in 119.814 ms, heap usage 217.294 MB -> 89.850 MB. [2026-03-06T02:52:17.319Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T02:52:24.702Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T02:52:32.262Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T02:52:39.665Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T02:52:42.710Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T02:52:46.588Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T02:52:51.440Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T02:52:55.325Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T02:52:55.786Z] 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. [2026-03-06T02:52:55.786Z] The best model improves the baseline by 14.52%. [2026-03-06T02:52:56.137Z] Top recommended movies for user id 72: [2026-03-06T02:52:56.137Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T02:52:56.137Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T02:52:56.137Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T02:52:56.137Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T02:52:56.137Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T02:52:56.137Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (45914.116 ms) ====== [2026-03-06T02:52:56.137Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-06T02:52:56.137Z] GC before operation: completed in 119.428 ms, heap usage 294.968 MB -> 90.318 MB. [2026-03-06T02:53:03.548Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T02:53:10.955Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T02:53:18.367Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T02:53:25.759Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T02:53:28.814Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T02:53:32.696Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T02:53:37.959Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T02:53:41.068Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T02:53:41.813Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T02:53:41.813Z] The best model improves the baseline by 14.52%. [2026-03-06T02:53:42.218Z] Top recommended movies for user id 72: [2026-03-06T02:53:42.218Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T02:53:42.218Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T02:53:42.218Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T02:53:42.218Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T02:53:42.218Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T02:53:42.218Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (46002.534 ms) ====== [2026-03-06T02:53:42.218Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-06T02:53:42.218Z] GC before operation: completed in 114.614 ms, heap usage 455.169 MB -> 90.319 MB. [2026-03-06T02:53:49.605Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T02:53:56.985Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T02:54:04.386Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T02:54:10.541Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T02:54:14.417Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T02:54:18.290Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T02:54:23.176Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T02:54:27.070Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T02:54:27.820Z] 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. [2026-03-06T02:54:27.820Z] The best model improves the baseline by 14.52%. [2026-03-06T02:54:28.177Z] Top recommended movies for user id 72: [2026-03-06T02:54:28.177Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T02:54:28.177Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T02:54:28.177Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T02:54:28.177Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T02:54:28.177Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T02:54:28.177Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (45965.874 ms) ====== [2026-03-06T02:54:28.177Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-06T02:54:28.177Z] GC before operation: completed in 116.509 ms, heap usage 189.348 MB -> 90.150 MB. [2026-03-06T02:54:35.570Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T02:54:43.048Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T02:54:50.441Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T02:54:57.923Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T02:55:01.017Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T02:55:04.958Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T02:55:12.297Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T02:55:13.491Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T02:55:13.845Z] 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. [2026-03-06T02:55:14.562Z] The best model improves the baseline by 14.52%. [2026-03-06T02:55:14.562Z] Top recommended movies for user id 72: [2026-03-06T02:55:14.562Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T02:55:14.562Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T02:55:14.562Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T02:55:14.562Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T02:55:14.562Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T02:55:14.562Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (46393.840 ms) ====== [2026-03-06T02:55:14.562Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-06T02:55:14.562Z] GC before operation: completed in 120.637 ms, heap usage 275.357 MB -> 90.006 MB. [2026-03-06T02:55:22.000Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T02:55:32.099Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T02:55:38.078Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T02:55:46.098Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T02:55:53.720Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T02:55:53.720Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T02:55:58.823Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T02:56:04.295Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T02:56:04.295Z] 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. [2026-03-06T02:56:04.295Z] The best model improves the baseline by 14.52%. [2026-03-06T02:56:04.295Z] Top recommended movies for user id 72: [2026-03-06T02:56:04.295Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T02:56:04.295Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T02:56:04.295Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T02:56:04.295Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T02:56:04.295Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T02:56:04.295Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (45856.351 ms) ====== [2026-03-06T02:56:04.295Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-06T02:56:04.295Z] GC before operation: completed in 122.769 ms, heap usage 219.072 MB -> 90.141 MB. [2026-03-06T02:56:09.718Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T02:56:14.810Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T02:56:24.479Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T02:56:29.392Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T02:56:39.368Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T02:56:39.368Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T02:56:41.908Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T02:56:45.790Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T02:56:46.226Z] 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. [2026-03-06T02:56:46.226Z] The best model improves the baseline by 14.52%. [2026-03-06T02:56:46.226Z] Top recommended movies for user id 72: [2026-03-06T02:56:46.226Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T02:56:46.226Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T02:56:46.226Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T02:56:46.226Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T02:56:46.226Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T02:56:46.226Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (45600.043 ms) ====== [2026-03-06T02:56:46.226Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-06T02:56:46.587Z] GC before operation: completed in 118.299 ms, heap usage 188.740 MB -> 90.222 MB. [2026-03-06T02:56:53.415Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T02:57:00.851Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T02:57:08.843Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T02:57:17.037Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T02:57:21.826Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T02:57:23.547Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T02:57:28.594Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T02:57:31.854Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T02:57:32.216Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T02:57:32.579Z] The best model improves the baseline by 14.52%. [2026-03-06T02:57:32.580Z] Top recommended movies for user id 72: [2026-03-06T02:57:32.580Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T02:57:32.580Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T02:57:32.580Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T02:57:32.580Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T02:57:32.580Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T02:57:32.580Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (46194.916 ms) ====== [2026-03-06T02:57:32.580Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-06T02:57:32.580Z] GC before operation: completed in 117.793 ms, heap usage 208.324 MB -> 90.107 MB. [2026-03-06T02:57:40.017Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T02:57:47.446Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T02:57:54.919Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T02:58:02.373Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T02:58:05.403Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T02:58:09.261Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T02:58:14.091Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T02:58:18.050Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T02:58:18.050Z] 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. [2026-03-06T02:58:18.050Z] The best model improves the baseline by 14.52%. [2026-03-06T02:58:18.050Z] Top recommended movies for user id 72: [2026-03-06T02:58:18.050Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T02:58:18.050Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T02:58:18.050Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T02:58:18.050Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T02:58:18.050Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T02:58:18.050Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (45389.248 ms) ====== [2026-03-06T02:58:18.050Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-06T02:58:18.403Z] GC before operation: completed in 123.409 ms, heap usage 119.051 MB -> 90.224 MB. [2026-03-06T02:58:25.819Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T02:58:33.361Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T02:58:40.792Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T02:58:46.813Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T02:58:50.677Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T02:58:55.540Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T02:58:59.518Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T02:59:03.502Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T02:59:03.842Z] 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. [2026-03-06T02:59:03.842Z] The best model improves the baseline by 14.52%. [2026-03-06T02:59:04.191Z] Top recommended movies for user id 72: [2026-03-06T02:59:04.191Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T02:59:04.191Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T02:59:04.191Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T02:59:04.191Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T02:59:04.191Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T02:59:04.191Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (45842.389 ms) ====== [2026-03-06T02:59:04.191Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-06T02:59:04.191Z] GC before operation: completed in 122.655 ms, heap usage 283.021 MB -> 90.274 MB. [2026-03-06T02:59:11.582Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T02:59:19.168Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T02:59:26.561Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T02:59:32.591Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T02:59:36.496Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T02:59:40.380Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T02:59:45.377Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T02:59:49.241Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T02:59:49.590Z] 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. [2026-03-06T02:59:49.590Z] The best model improves the baseline by 14.52%. [2026-03-06T02:59:49.945Z] Top recommended movies for user id 72: [2026-03-06T02:59:49.945Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T02:59:49.945Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T02:59:49.945Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T02:59:49.945Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T02:59:49.945Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T02:59:49.945Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (45641.204 ms) ====== [2026-03-06T02:59:49.945Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-06T02:59:49.945Z] GC before operation: completed in 118.486 ms, heap usage 117.910 MB -> 90.178 MB. [2026-03-06T02:59:57.365Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T03:00:04.859Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T03:00:12.325Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T03:00:19.715Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T03:00:22.745Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T03:00:26.611Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T03:00:31.494Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T03:00:35.370Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T03:00:36.239Z] 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. [2026-03-06T03:00:36.239Z] The best model improves the baseline by 14.52%. [2026-03-06T03:00:36.633Z] Top recommended movies for user id 72: [2026-03-06T03:00:36.633Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T03:00:36.634Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T03:00:36.634Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T03:00:36.634Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T03:00:36.634Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T03:00:36.634Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (46362.066 ms) ====== [2026-03-06T03:00:36.634Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-06T03:00:36.634Z] GC before operation: completed in 115.956 ms, heap usage 182.439 MB -> 90.133 MB. [2026-03-06T03:00:44.047Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T03:00:50.067Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T03:00:59.076Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T03:01:05.142Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T03:01:09.006Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T03:01:12.938Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T03:01:17.802Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T03:01:21.671Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T03:01:22.437Z] 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. [2026-03-06T03:01:22.437Z] The best model improves the baseline by 14.52%. [2026-03-06T03:01:22.437Z] Top recommended movies for user id 72: [2026-03-06T03:01:22.437Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T03:01:22.437Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T03:01:22.437Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T03:01:22.437Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T03:01:22.437Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T03:01:22.437Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (46040.936 ms) ====== [2026-03-06T03:01:22.437Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-06T03:01:22.790Z] GC before operation: completed in 115.672 ms, heap usage 184.413 MB -> 90.224 MB. [2026-03-06T03:01:30.182Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T03:01:37.588Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T03:01:45.001Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T03:01:51.042Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T03:01:54.965Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T03:01:58.920Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T03:02:03.818Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T03:02:07.702Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T03:02:08.446Z] 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. [2026-03-06T03:02:08.446Z] The best model improves the baseline by 14.52%. [2026-03-06T03:02:08.446Z] Top recommended movies for user id 72: [2026-03-06T03:02:08.446Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T03:02:08.446Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T03:02:08.446Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T03:02:08.446Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T03:02:08.446Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T03:02:08.446Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (45886.864 ms) ====== [2026-03-06T03:02:08.797Z] ----------------------------------- [2026-03-06T03:02:08.797Z] renaissance-movie-lens_0_PASSED [2026-03-06T03:02:08.797Z] ----------------------------------- [2026-03-06T03:02:09.524Z] [2026-03-06T03:02:09.524Z] TEST TEARDOWN: [2026-03-06T03:02:09.524Z] Nothing to be done for teardown. [2026-03-06T03:02:09.524Z] renaissance-movie-lens_0 Finish Time: Fri Mar 6 03:02:09 2026 Epoch Time (ms): 1772766129393