[2026-04-07T05:33:32.704Z] Running test renaissance-movie-lens_0 ... [2026-04-07T05:33:32.704Z] =============================================== [2026-04-07T05:33:32.704Z] renaissance-movie-lens_0 Start Time: Tue Apr 7 01:33:31 2026 Epoch Time (ms): 1775540011549 [2026-04-07T05:33:32.704Z] variation: NoOptions [2026-04-07T05:33:32.704Z] JVM_OPTIONS: [2026-04-07T05:33:32.704Z] { \ [2026-04-07T05:33:32.704Z] echo ""; echo "TEST SETUP:"; \ [2026-04-07T05:33:32.704Z] echo "Nothing to be done for setup."; \ [2026-04-07T05:33:32.704Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17755370599676/renaissance-movie-lens_0"; \ [2026-04-07T05:33:32.704Z] cd "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17755370599676/renaissance-movie-lens_0"; \ [2026-04-07T05:33:32.704Z] echo ""; echo "TESTING:"; \ [2026-04-07T05:33:32.704Z] "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/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_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17755370599676/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-07T05:33:32.704Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17755370599676/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-07T05:33:32.704Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-07T05:33:32.704Z] echo "Nothing to be done for teardown."; \ [2026-04-07T05:33:32.704Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17755370599676/TestTargetResult"; [2026-04-07T05:33:32.704Z] [2026-04-07T05:33:32.704Z] TEST SETUP: [2026-04-07T05:33:32.704Z] Nothing to be done for setup. [2026-04-07T05:33:32.704Z] [2026-04-07T05:33:32.704Z] TESTING: [2026-04-07T05:33:48.298Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-07T05:34:06.452Z] 01:34:05.807 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. [2026-04-07T05:34:12.367Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-07T05:34:13.308Z] Training: 60056, validation: 20285, test: 19854 [2026-04-07T05:34:13.309Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-07T05:34:13.690Z] GC before operation: completed in 299.198 ms, heap usage 376.176 MB -> 74.673 MB. [2026-04-07T05:34:38.902Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-07T05:34:49.450Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-07T05:35:04.698Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-07T05:35:13.433Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-07T05:35:18.419Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-07T05:35:24.459Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-07T05:35:31.863Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-07T05:35:37.588Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-07T05:35:37.588Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-07T05:35:38.205Z] The best model improves the baseline by 14.52%. [2026-04-07T05:35:39.167Z] Top recommended movies for user id 72: [2026-04-07T05:35:39.167Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-07T05:35:39.167Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-07T05:35:39.167Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-07T05:35:39.167Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-07T05:35:39.167Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-07T05:35:39.167Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (85275.604 ms) ====== [2026-04-07T05:35:39.167Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-07T05:35:39.167Z] GC before operation: completed in 321.199 ms, heap usage 549.285 MB -> 90.891 MB. [2026-04-07T05:35:54.313Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-07T05:36:04.777Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-07T05:36:13.854Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-07T05:36:22.218Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-07T05:36:28.084Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-07T05:36:33.861Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-07T05:36:38.741Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-07T05:36:46.080Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-07T05:36:46.548Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-07T05:36:46.548Z] The best model improves the baseline by 14.52%. [2026-04-07T05:36:46.548Z] Top recommended movies for user id 72: [2026-04-07T05:36:46.548Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-07T05:36:46.548Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-07T05:36:46.548Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-07T05:36:46.548Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-07T05:36:46.548Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-07T05:36:46.548Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (67464.503 ms) ====== [2026-04-07T05:36:46.548Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-07T05:36:47.053Z] GC before operation: completed in 269.625 ms, heap usage 503.436 MB -> 88.065 MB. [2026-04-07T05:36:59.814Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-07T05:37:10.290Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-07T05:37:20.795Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-07T05:37:29.347Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-07T05:37:33.022Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-07T05:37:37.652Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-07T05:37:43.790Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-07T05:37:48.568Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-07T05:37:49.022Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-07T05:37:49.420Z] The best model improves the baseline by 14.52%. [2026-04-07T05:37:49.420Z] Top recommended movies for user id 72: [2026-04-07T05:37:49.420Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-07T05:37:49.420Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-07T05:37:49.420Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-07T05:37:49.420Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-07T05:37:49.420Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-07T05:37:49.420Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (62583.426 ms) ====== [2026-04-07T05:37:49.420Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-07T05:37:50.409Z] GC before operation: completed in 825.132 ms, heap usage 331.518 MB -> 88.406 MB. [2026-04-07T05:38:00.903Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-07T05:38:11.554Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-07T05:38:20.425Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-07T05:38:30.830Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-07T05:38:36.572Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-07T05:38:42.449Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-07T05:38:47.148Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-07T05:38:52.910Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-07T05:38:52.910Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-07T05:38:53.340Z] The best model improves the baseline by 14.52%. [2026-04-07T05:38:53.788Z] Top recommended movies for user id 72: [2026-04-07T05:38:53.788Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-07T05:38:53.788Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-07T05:38:53.788Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-07T05:38:53.788Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-07T05:38:53.788Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-07T05:38:53.788Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (63525.502 ms) ====== [2026-04-07T05:38:53.788Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-07T05:38:54.201Z] GC before operation: completed in 402.846 ms, heap usage 458.082 MB -> 88.974 MB. [2026-04-07T05:39:07.042Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-07T05:39:19.868Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-07T05:39:29.198Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-07T05:39:39.929Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-07T05:39:46.031Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-07T05:39:52.365Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-07T05:39:59.676Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-07T05:40:04.800Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-07T05:40:05.705Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-07T05:40:05.705Z] The best model improves the baseline by 14.52%. [2026-04-07T05:40:05.705Z] Top recommended movies for user id 72: [2026-04-07T05:40:05.705Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-07T05:40:05.705Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-07T05:40:05.705Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-07T05:40:05.705Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-07T05:40:05.705Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-07T05:40:05.705Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (71365.445 ms) ====== [2026-04-07T05:40:05.705Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-07T05:40:06.204Z] GC before operation: completed in 241.800 ms, heap usage 582.900 MB -> 92.161 MB. [2026-04-07T05:40:16.880Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-07T05:40:25.533Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-07T05:40:34.421Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-07T05:40:49.637Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-07T05:40:56.978Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-07T05:41:02.860Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-07T05:41:08.920Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-07T05:41:16.251Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-07T05:41:16.767Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-07T05:41:16.767Z] The best model improves the baseline by 14.52%. [2026-04-07T05:41:16.767Z] Top recommended movies for user id 72: [2026-04-07T05:41:16.767Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-07T05:41:16.767Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-07T05:41:16.767Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-07T05:41:16.767Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-07T05:41:16.767Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-07T05:41:16.767Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (70862.284 ms) ====== [2026-04-07T05:41:16.767Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-07T05:41:17.788Z] GC before operation: completed in 759.907 ms, heap usage 333.350 MB -> 89.060 MB. [2026-04-07T05:41:33.055Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-07T05:41:45.894Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-07T05:41:56.507Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-07T05:42:08.651Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-07T05:42:14.750Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-07T05:42:20.750Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-07T05:42:26.851Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-07T05:42:32.480Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-07T05:42:32.882Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-07T05:42:33.436Z] The best model improves the baseline by 14.52%. [2026-04-07T05:42:34.023Z] Top recommended movies for user id 72: [2026-04-07T05:42:34.023Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-07T05:42:34.023Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-07T05:42:34.023Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-07T05:42:34.023Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-07T05:42:34.023Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-07T05:42:34.023Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (76162.595 ms) ====== [2026-04-07T05:42:34.023Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-07T05:42:34.601Z] GC before operation: completed in 913.946 ms, heap usage 723.214 MB -> 92.624 MB. [2026-04-07T05:42:47.739Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-07T05:43:02.744Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-07T05:43:11.462Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-07T05:43:22.109Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-07T05:43:28.011Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-07T05:43:32.843Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-07T05:43:37.753Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-07T05:43:43.953Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-07T05:43:44.382Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-07T05:43:44.382Z] The best model improves the baseline by 14.52%. [2026-04-07T05:43:44.854Z] Top recommended movies for user id 72: [2026-04-07T05:43:44.854Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-07T05:43:44.854Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-07T05:43:44.854Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-07T05:43:44.854Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-07T05:43:44.854Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-07T05:43:44.854Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (70251.326 ms) ====== [2026-04-07T05:43:44.854Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-07T05:43:45.320Z] GC before operation: completed in 385.002 ms, heap usage 195.056 MB -> 88.957 MB. [2026-04-07T05:44:00.343Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-07T05:44:11.418Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-07T05:44:26.690Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-07T05:44:41.718Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-07T05:44:46.502Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-07T05:44:53.570Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-07T05:45:01.279Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-07T05:45:06.451Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-07T05:45:08.645Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-07T05:45:08.645Z] The best model improves the baseline by 14.52%. [2026-04-07T05:45:08.645Z] Top recommended movies for user id 72: [2026-04-07T05:45:08.645Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-07T05:45:08.645Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-07T05:45:08.645Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-07T05:45:08.645Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-07T05:45:08.645Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-07T05:45:08.645Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (83386.745 ms) ====== [2026-04-07T05:45:08.645Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-07T05:45:09.048Z] GC before operation: completed in 326.925 ms, heap usage 456.724 MB -> 89.169 MB. [2026-04-07T05:45:24.376Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-07T05:45:37.380Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-07T05:45:50.490Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-07T05:46:05.522Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-07T05:46:10.383Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-07T05:46:16.198Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-07T05:46:21.931Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-07T05:46:28.826Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-07T05:46:28.826Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-07T05:46:28.826Z] The best model improves the baseline by 14.52%. [2026-04-07T05:46:29.817Z] Top recommended movies for user id 72: [2026-04-07T05:46:29.817Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-07T05:46:29.817Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-07T05:46:29.817Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-07T05:46:29.817Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-07T05:46:29.817Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-07T05:46:29.817Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (80789.820 ms) ====== [2026-04-07T05:46:29.817Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-07T05:46:30.300Z] GC before operation: completed in 449.938 ms, heap usage 645.383 MB -> 92.802 MB. [2026-04-07T05:46:45.447Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-07T05:46:58.441Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-07T05:47:14.077Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-07T05:47:27.007Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-07T05:47:34.442Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-07T05:47:42.105Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-07T05:47:46.972Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-07T05:47:52.676Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-07T05:47:53.235Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-07T05:47:53.235Z] The best model improves the baseline by 14.52%. [2026-04-07T05:47:53.748Z] Top recommended movies for user id 72: [2026-04-07T05:47:53.748Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-07T05:47:53.748Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-07T05:47:53.748Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-07T05:47:53.748Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-07T05:47:53.748Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-07T05:47:53.748Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (83561.903 ms) ====== [2026-04-07T05:47:53.748Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-07T05:47:54.155Z] GC before operation: completed in 491.384 ms, heap usage 144.798 MB -> 91.537 MB. [2026-04-07T05:48:09.416Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-07T05:48:17.961Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-07T05:48:33.155Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-07T05:48:43.403Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-07T05:48:48.170Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-07T05:48:53.746Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-07T05:48:59.431Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-07T05:49:04.262Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-07T05:49:04.684Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-07T05:49:05.125Z] The best model improves the baseline by 14.52%. [2026-04-07T05:49:05.125Z] Top recommended movies for user id 72: [2026-04-07T05:49:05.125Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-07T05:49:05.125Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-07T05:49:05.125Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-07T05:49:05.125Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-07T05:49:05.125Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-07T05:49:05.125Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (70753.345 ms) ====== [2026-04-07T05:49:05.125Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-07T05:49:05.585Z] GC before operation: completed in 299.635 ms, heap usage 442.229 MB -> 89.325 MB. [2026-04-07T05:49:17.714Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-07T05:49:28.298Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-07T05:49:37.021Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-07T05:49:45.457Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-07T05:49:51.011Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-07T05:49:55.681Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-07T05:50:01.443Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-07T05:50:06.084Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-07T05:50:06.585Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-07T05:50:06.585Z] The best model improves the baseline by 14.52%. [2026-04-07T05:50:07.504Z] Top recommended movies for user id 72: [2026-04-07T05:50:07.504Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-07T05:50:07.504Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-07T05:50:07.504Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-07T05:50:07.504Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-07T05:50:07.505Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-07T05:50:07.505Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (62009.792 ms) ====== [2026-04-07T05:50:07.505Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-07T05:50:07.505Z] GC before operation: completed in 246.597 ms, heap usage 592.290 MB -> 92.777 MB. [2026-04-07T05:50:17.801Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-07T05:50:28.173Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-07T05:50:37.075Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-07T05:50:47.448Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-07T05:50:53.248Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-07T05:50:59.018Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-07T05:51:04.857Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-07T05:51:09.636Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-07T05:51:11.208Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-07T05:51:11.208Z] The best model improves the baseline by 14.52%. [2026-04-07T05:51:11.634Z] Top recommended movies for user id 72: [2026-04-07T05:51:11.634Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-07T05:51:11.634Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-07T05:51:11.634Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-07T05:51:11.634Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-07T05:51:11.634Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-07T05:51:11.634Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (63991.140 ms) ====== [2026-04-07T05:51:11.634Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-07T05:51:12.067Z] GC before operation: completed in 278.951 ms, heap usage 358.842 MB -> 89.055 MB. [2026-04-07T05:51:22.207Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-07T05:51:32.364Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-07T05:51:41.051Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-07T05:51:47.951Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-07T05:51:53.685Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-07T05:52:00.948Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-07T05:52:05.741Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-07T05:52:11.590Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-07T05:52:12.041Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-07T05:52:12.041Z] The best model improves the baseline by 14.52%. [2026-04-07T05:52:12.041Z] Top recommended movies for user id 72: [2026-04-07T05:52:12.041Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-07T05:52:12.041Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-07T05:52:12.041Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-07T05:52:12.042Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-07T05:52:12.042Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-07T05:52:12.042Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (60254.858 ms) ====== [2026-04-07T05:52:12.042Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-07T05:52:12.450Z] GC before operation: completed in 288.948 ms, heap usage 147.055 MB -> 92.190 MB. [2026-04-07T05:52:24.843Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-07T05:52:33.400Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-07T05:52:40.333Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-07T05:52:48.802Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-07T05:52:54.457Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-07T05:53:00.378Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-07T05:53:05.425Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-07T05:53:11.457Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-07T05:53:11.457Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-07T05:53:11.457Z] The best model improves the baseline by 14.52%. [2026-04-07T05:53:12.058Z] Top recommended movies for user id 72: [2026-04-07T05:53:12.059Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-07T05:53:12.059Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-07T05:53:12.059Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-07T05:53:12.059Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-07T05:53:12.059Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-07T05:53:12.059Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (59435.493 ms) ====== [2026-04-07T05:53:12.059Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-07T05:53:12.584Z] GC before operation: completed in 770.457 ms, heap usage 314.490 MB -> 89.239 MB. [2026-04-07T05:53:24.997Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-07T05:53:35.436Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-07T05:53:45.781Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-07T05:53:54.403Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-07T05:54:00.102Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-07T05:54:03.792Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-07T05:54:08.320Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-07T05:54:12.858Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-07T05:54:12.858Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-07T05:54:12.858Z] The best model improves the baseline by 14.52%. [2026-04-07T05:54:12.858Z] Top recommended movies for user id 72: [2026-04-07T05:54:12.858Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-07T05:54:12.858Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-07T05:54:12.858Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-07T05:54:12.858Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-07T05:54:12.858Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-07T05:54:12.858Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (60271.079 ms) ====== [2026-04-07T05:54:12.858Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-07T05:54:13.289Z] GC before operation: completed in 275.223 ms, heap usage 563.750 MB -> 92.757 MB. [2026-04-07T05:54:23.545Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-07T05:54:33.832Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-07T05:54:42.114Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-07T05:54:49.373Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-07T05:54:57.871Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-07T05:55:03.786Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-07T05:55:09.917Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-07T05:55:14.484Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-07T05:55:16.092Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-07T05:55:16.092Z] The best model improves the baseline by 14.52%. [2026-04-07T05:55:16.092Z] Top recommended movies for user id 72: [2026-04-07T05:55:16.092Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-07T05:55:16.092Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-07T05:55:16.092Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-07T05:55:16.092Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-07T05:55:16.092Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-07T05:55:16.092Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (62893.735 ms) ====== [2026-04-07T05:55:16.092Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-07T05:55:16.588Z] GC before operation: completed in 288.943 ms, heap usage 322.280 MB -> 89.063 MB. [2026-04-07T05:55:27.219Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-07T05:55:37.605Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-07T05:55:48.225Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-07T05:55:58.605Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-07T05:56:02.415Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-07T05:56:08.290Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-07T05:56:14.096Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-07T05:56:18.938Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-07T05:56:18.938Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-07T05:56:18.938Z] The best model improves the baseline by 14.52%. [2026-04-07T05:56:19.369Z] Top recommended movies for user id 72: [2026-04-07T05:56:19.369Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-07T05:56:19.369Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-07T05:56:19.369Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-07T05:56:19.369Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-07T05:56:19.369Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-07T05:56:19.369Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (62863.880 ms) ====== [2026-04-07T05:56:19.369Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-07T05:56:19.828Z] GC before operation: completed in 491.675 ms, heap usage 375.502 MB -> 89.257 MB. [2026-04-07T05:56:29.952Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-07T05:56:40.486Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-07T05:56:49.200Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-07T05:56:59.725Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-07T05:57:05.688Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-07T05:57:11.518Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-07T05:57:16.346Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-07T05:57:22.222Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-07T05:57:23.846Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-07T05:57:23.846Z] The best model improves the baseline by 14.52%. [2026-04-07T05:57:24.281Z] Top recommended movies for user id 72: [2026-04-07T05:57:24.281Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-07T05:57:24.281Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-07T05:57:24.281Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-07T05:57:24.281Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-07T05:57:24.281Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-07T05:57:24.281Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (64314.682 ms) ====== [2026-04-07T05:57:28.700Z] ----------------------------------- [2026-04-07T05:57:28.700Z] renaissance-movie-lens_0_PASSED [2026-04-07T05:57:28.700Z] ----------------------------------- [2026-04-07T05:57:28.700Z] [2026-04-07T05:57:28.700Z] TEST TEARDOWN: [2026-04-07T05:57:28.700Z] Nothing to be done for teardown. [2026-04-07T05:57:28.700Z] renaissance-movie-lens_0 Finish Time: Tue Apr 7 01:57:28 2026 Epoch Time (ms): 1775541448534