[2026-02-08T10:19:40.634Z] Running test renaissance-movie-lens_0 ... [2026-02-08T10:19:40.634Z] =============================================== [2026-02-08T10:19:40.977Z] renaissance-movie-lens_0 Start Time: Sun Feb 8 10:19:40 2026 Epoch Time (ms): 1770545980671 [2026-02-08T10:19:40.977Z] variation: NoOptions [2026-02-08T10:19:41.368Z] JVM_OPTIONS: [2026-02-08T10:19:41.368Z] { \ [2026-02-08T10:19:41.368Z] echo ""; echo "TEST SETUP:"; \ [2026-02-08T10:19:41.368Z] echo "Nothing to be done for setup."; \ [2026-02-08T10:19:41.368Z] mkdir -p "C:/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17705430733901\\renaissance-movie-lens_0"; \ [2026-02-08T10:19:41.368Z] cd "C:/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17705430733901\\renaissance-movie-lens_0"; \ [2026-02-08T10:19:41.368Z] echo ""; echo "TESTING:"; \ [2026-02-08T10:19:41.368Z] "c:/workspace/workspace/Test_openjdk11_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:/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17705430733901\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2026-02-08T10:19:41.368Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17705430733901\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-08T10:19:41.368Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-08T10:19:41.368Z] echo "Nothing to be done for teardown."; \ [2026-02-08T10:19:41.368Z] } 2>&1 | tee -a "C:/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17705430733901\\TestTargetResult"; [2026-02-08T10:19:41.368Z] [2026-02-08T10:19:41.368Z] TEST SETUP: [2026-02-08T10:19:41.368Z] Nothing to be done for setup. [2026-02-08T10:19:41.368Z] [2026-02-08T10:19:41.368Z] TESTING: [2026-02-08T10:20:14.967Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-08T10:20:28.803Z] 10:20:26.953 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-08T10:20:34.151Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-08T10:20:34.741Z] Training: 60056, validation: 20285, test: 19854 [2026-02-08T10:20:34.741Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-08T10:20:35.167Z] GC before operation: completed in 304.857 ms, heap usage 326.614 MB -> 74.941 MB. [2026-02-08T10:21:04.015Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T10:21:27.534Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T10:21:46.997Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T10:22:10.519Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T10:22:19.655Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T10:22:30.867Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T10:22:44.420Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T10:22:55.519Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T10:22:56.507Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-08T10:22:56.915Z] The best model improves the baseline by 14.52%. [2026-02-08T10:22:57.670Z] Top recommended movies for user id 72: [2026-02-08T10:22:57.670Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T10:22:57.670Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T10:22:57.670Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T10:22:57.670Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T10:22:57.670Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T10:22:57.670Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (142516.233 ms) ====== [2026-02-08T10:22:57.670Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-08T10:22:57.670Z] GC before operation: completed in 358.121 ms, heap usage 109.974 MB -> 85.653 MB. [2026-02-08T10:23:17.211Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T10:23:36.693Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T10:23:56.098Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T10:24:13.054Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T10:24:24.139Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T10:24:33.361Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T10:24:44.579Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T10:24:55.744Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T10:24:56.753Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-08T10:24:56.753Z] The best model improves the baseline by 14.52%. [2026-02-08T10:24:57.630Z] Top recommended movies for user id 72: [2026-02-08T10:24:57.630Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T10:24:57.630Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T10:24:57.630Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T10:24:57.630Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T10:24:57.630Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T10:24:57.630Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (119607.463 ms) ====== [2026-02-08T10:24:57.630Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-08T10:24:58.020Z] GC before operation: completed in 327.540 ms, heap usage 260.084 MB -> 88.056 MB. [2026-02-08T10:25:17.470Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T10:25:33.679Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T10:25:53.184Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T10:26:09.316Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T10:26:20.427Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T10:26:31.619Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T10:26:42.948Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T10:26:54.079Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T10:26:54.079Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-08T10:26:54.079Z] The best model improves the baseline by 14.52%. [2026-02-08T10:26:54.953Z] Top recommended movies for user id 72: [2026-02-08T10:26:54.953Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T10:26:54.953Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T10:26:54.953Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T10:26:54.953Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T10:26:54.953Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T10:26:54.953Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (117050.428 ms) ====== [2026-02-08T10:26:54.953Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-08T10:26:55.361Z] GC before operation: completed in 283.055 ms, heap usage 176.889 MB -> 88.558 MB. [2026-02-08T10:27:14.778Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T10:27:30.903Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T10:27:50.376Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T10:28:09.779Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T10:28:17.298Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T10:28:28.407Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T10:28:39.525Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T10:28:50.560Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T10:28:51.348Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-08T10:28:51.348Z] The best model improves the baseline by 14.52%. [2026-02-08T10:28:52.139Z] Top recommended movies for user id 72: [2026-02-08T10:28:52.139Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T10:28:52.139Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T10:28:52.139Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T10:28:52.139Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T10:28:52.139Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T10:28:52.139Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (116813.328 ms) ====== [2026-02-08T10:28:52.139Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-08T10:28:52.139Z] GC before operation: completed in 293.738 ms, heap usage 196.460 MB -> 88.850 MB. [2026-02-08T10:29:11.594Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T10:29:27.851Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T10:29:47.334Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T10:30:03.476Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T10:30:14.550Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T10:30:23.761Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T10:30:34.960Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T10:30:46.349Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T10:30:46.349Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-08T10:30:46.349Z] The best model improves the baseline by 14.52%. [2026-02-08T10:30:46.733Z] Top recommended movies for user id 72: [2026-02-08T10:30:46.734Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T10:30:46.734Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T10:30:46.734Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T10:30:46.734Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T10:30:46.734Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T10:30:46.734Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (114055.516 ms) ====== [2026-02-08T10:30:46.734Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-08T10:30:46.734Z] GC before operation: completed in 306.734 ms, heap usage 230.211 MB -> 88.806 MB. [2026-02-08T10:31:06.157Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T10:31:22.383Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T10:31:41.864Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T10:31:58.048Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T10:32:07.218Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T10:32:18.292Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T10:32:29.401Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T10:32:40.542Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T10:32:40.542Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-08T10:32:40.542Z] The best model improves the baseline by 14.52%. [2026-02-08T10:32:40.905Z] Top recommended movies for user id 72: [2026-02-08T10:32:40.905Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T10:32:40.905Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T10:32:40.905Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T10:32:40.905Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T10:32:40.905Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T10:32:40.905Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (114156.593 ms) ====== [2026-02-08T10:32:40.905Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-08T10:32:41.312Z] GC before operation: completed in 336.649 ms, heap usage 178.231 MB -> 89.101 MB. [2026-02-08T10:32:57.589Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T10:33:17.011Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T10:33:36.513Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T10:33:52.611Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T10:34:01.813Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T10:34:12.917Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T10:34:24.034Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T10:34:33.190Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T10:34:34.437Z] 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. [2026-02-08T10:34:34.437Z] The best model improves the baseline by 14.52%. [2026-02-08T10:34:35.276Z] Top recommended movies for user id 72: [2026-02-08T10:34:35.276Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T10:34:35.276Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T10:34:35.276Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T10:34:35.276Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T10:34:35.276Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T10:34:35.276Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (114007.229 ms) ====== [2026-02-08T10:34:35.276Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-08T10:34:35.276Z] GC before operation: completed in 289.496 ms, heap usage 192.786 MB -> 89.047 MB. [2026-02-08T10:34:54.859Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T10:35:11.107Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T10:35:30.552Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T10:35:46.662Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T10:35:55.868Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T10:36:04.999Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T10:36:16.095Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T10:36:27.260Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T10:36:27.260Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-08T10:36:27.260Z] The best model improves the baseline by 14.52%. [2026-02-08T10:36:28.081Z] Top recommended movies for user id 72: [2026-02-08T10:36:28.081Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T10:36:28.081Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T10:36:28.081Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T10:36:28.081Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T10:36:28.081Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T10:36:28.081Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (112523.065 ms) ====== [2026-02-08T10:36:28.081Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-08T10:36:28.433Z] GC before operation: completed in 303.823 ms, heap usage 192.947 MB -> 89.265 MB. [2026-02-08T10:36:47.948Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T10:37:04.091Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T10:37:23.535Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T10:37:39.662Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T10:37:47.156Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T10:37:58.200Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T10:38:09.325Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T10:38:18.483Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T10:38:19.315Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-08T10:38:19.315Z] The best model improves the baseline by 14.52%. [2026-02-08T10:38:19.926Z] Top recommended movies for user id 72: [2026-02-08T10:38:19.926Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T10:38:19.926Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T10:38:19.926Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T10:38:19.926Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T10:38:19.926Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T10:38:19.926Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (111629.045 ms) ====== [2026-02-08T10:38:19.926Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-08T10:38:20.274Z] GC before operation: completed in 287.883 ms, heap usage 218.925 MB -> 89.126 MB. [2026-02-08T10:38:39.674Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T10:38:55.906Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T10:39:15.317Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T10:39:31.422Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T10:39:42.671Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T10:39:51.855Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T10:40:03.037Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T10:40:14.201Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T10:40:14.202Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-08T10:40:14.202Z] The best model improves the baseline by 14.52%. [2026-02-08T10:40:14.801Z] Top recommended movies for user id 72: [2026-02-08T10:40:14.801Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T10:40:14.801Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T10:40:14.801Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T10:40:14.801Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T10:40:14.801Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T10:40:14.801Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (114586.218 ms) ====== [2026-02-08T10:40:14.801Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-08T10:40:15.187Z] GC before operation: completed in 287.800 ms, heap usage 211.055 MB -> 89.320 MB. [2026-02-08T10:40:34.646Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T10:40:50.799Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T10:41:10.262Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T10:41:26.385Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T10:41:35.569Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T10:41:46.627Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T10:41:55.790Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T10:42:07.019Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T10:42:07.019Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-08T10:42:07.019Z] The best model improves the baseline by 14.52%. [2026-02-08T10:42:07.855Z] Top recommended movies for user id 72: [2026-02-08T10:42:07.855Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T10:42:07.855Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T10:42:07.855Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T10:42:07.855Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T10:42:07.855Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T10:42:07.855Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (112695.530 ms) ====== [2026-02-08T10:42:07.855Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-08T10:42:08.201Z] GC before operation: completed in 294.654 ms, heap usage 121.026 MB -> 88.937 MB. [2026-02-08T10:42:27.592Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T10:42:43.798Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T10:43:03.231Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T10:43:19.414Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T10:43:28.569Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T10:43:37.867Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T10:43:51.344Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T10:44:00.472Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T10:44:00.472Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-08T10:44:00.472Z] The best model improves the baseline by 14.52%. [2026-02-08T10:44:01.072Z] Top recommended movies for user id 72: [2026-02-08T10:44:01.072Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T10:44:01.072Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T10:44:01.072Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T10:44:01.072Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T10:44:01.072Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T10:44:01.072Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (112976.586 ms) ====== [2026-02-08T10:44:01.072Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-08T10:44:01.464Z] GC before operation: completed in 314.362 ms, heap usage 120.501 MB -> 89.164 MB. [2026-02-08T10:44:20.908Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T10:44:37.043Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T10:44:56.561Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T10:45:12.733Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T10:45:23.828Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T10:45:33.110Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T10:45:44.299Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T10:45:53.432Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T10:45:54.659Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-08T10:45:54.659Z] The best model improves the baseline by 14.52%. [2026-02-08T10:45:55.613Z] Top recommended movies for user id 72: [2026-02-08T10:45:55.613Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T10:45:55.613Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T10:45:55.613Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T10:45:55.613Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T10:45:55.613Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T10:45:55.613Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (114211.773 ms) ====== [2026-02-08T10:45:55.613Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-08T10:45:56.039Z] GC before operation: completed in 307.506 ms, heap usage 196.879 MB -> 89.360 MB. [2026-02-08T10:46:15.513Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T10:46:31.662Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T10:46:51.096Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T10:47:07.304Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T10:47:16.457Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T10:47:25.588Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T10:47:36.643Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T10:47:47.708Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T10:47:48.475Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-08T10:47:48.475Z] The best model improves the baseline by 14.52%. [2026-02-08T10:47:49.074Z] Top recommended movies for user id 72: [2026-02-08T10:47:49.074Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T10:47:49.074Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T10:47:49.074Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T10:47:49.074Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T10:47:49.074Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T10:47:49.074Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (113159.777 ms) ====== [2026-02-08T10:47:49.074Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-08T10:47:49.473Z] GC before operation: completed in 294.153 ms, heap usage 165.547 MB -> 89.179 MB. [2026-02-08T10:48:08.854Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T10:48:24.956Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T10:48:41.126Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T10:49:00.574Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T10:49:08.097Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T10:49:19.179Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T10:49:30.277Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T10:49:39.443Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T10:49:40.225Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-08T10:49:40.225Z] The best model improves the baseline by 14.52%. [2026-02-08T10:49:40.728Z] Top recommended movies for user id 72: [2026-02-08T10:49:40.728Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T10:49:40.728Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T10:49:40.728Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T10:49:40.728Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T10:49:40.728Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T10:49:40.728Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (111316.505 ms) ====== [2026-02-08T10:49:40.728Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-08T10:49:41.122Z] GC before operation: completed in 303.865 ms, heap usage 319.652 MB -> 89.567 MB. [2026-02-08T10:49:57.368Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T10:50:16.845Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T10:50:36.324Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T10:50:52.506Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T10:51:01.638Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T10:51:12.693Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T10:51:23.769Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T10:51:32.899Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T10:51:33.744Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-08T10:51:33.744Z] The best model improves the baseline by 14.52%. [2026-02-08T10:51:34.375Z] Top recommended movies for user id 72: [2026-02-08T10:51:34.375Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T10:51:34.375Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T10:51:34.375Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T10:51:34.375Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T10:51:34.375Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T10:51:34.375Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (113373.733 ms) ====== [2026-02-08T10:51:34.375Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-08T10:51:34.844Z] GC before operation: completed in 307.576 ms, heap usage 121.709 MB -> 89.156 MB. [2026-02-08T10:51:54.323Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T10:52:10.406Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T10:52:29.882Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T10:52:46.018Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T10:52:55.150Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T10:53:06.325Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T10:53:17.343Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T10:53:26.480Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T10:53:26.963Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-08T10:53:26.964Z] The best model improves the baseline by 14.52%. [2026-02-08T10:53:27.855Z] Top recommended movies for user id 72: [2026-02-08T10:53:27.855Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T10:53:27.855Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T10:53:27.855Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T10:53:27.855Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T10:53:27.855Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T10:53:27.855Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (113122.900 ms) ====== [2026-02-08T10:53:27.855Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-08T10:53:28.299Z] GC before operation: completed in 287.839 ms, heap usage 211.252 MB -> 89.350 MB. [2026-02-08T10:53:47.710Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T10:54:03.984Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T10:54:23.411Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T10:54:39.719Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T10:54:50.807Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T10:55:00.186Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T10:55:11.282Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T10:55:20.421Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T10:55:21.288Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-08T10:55:21.288Z] The best model improves the baseline by 14.52%. [2026-02-08T10:55:22.149Z] Top recommended movies for user id 72: [2026-02-08T10:55:22.149Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T10:55:22.149Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T10:55:22.149Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T10:55:22.149Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T10:55:22.149Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T10:55:22.149Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (114016.935 ms) ====== [2026-02-08T10:55:22.149Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-08T10:55:22.575Z] GC before operation: completed in 311.446 ms, heap usage 259.264 MB -> 89.231 MB. [2026-02-08T10:55:42.040Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T10:55:58.326Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T10:56:17.813Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T10:56:34.048Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T10:56:45.119Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T10:56:54.207Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T10:57:05.293Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T10:57:14.545Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T10:57:15.803Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-08T10:57:15.803Z] The best model improves the baseline by 14.52%. [2026-02-08T10:57:16.567Z] Top recommended movies for user id 72: [2026-02-08T10:57:16.567Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T10:57:16.567Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T10:57:16.567Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T10:57:16.567Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T10:57:16.567Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T10:57:16.567Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (114030.126 ms) ====== [2026-02-08T10:57:16.567Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-08T10:57:16.567Z] GC before operation: completed in 288.758 ms, heap usage 194.243 MB -> 89.298 MB. [2026-02-08T10:57:36.014Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T10:57:52.306Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T10:58:11.738Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T10:58:27.906Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T10:58:37.061Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T10:58:48.265Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T10:58:57.476Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T10:59:08.605Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T10:59:08.605Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-08T10:59:08.605Z] The best model improves the baseline by 14.52%. [2026-02-08T10:59:09.373Z] Top recommended movies for user id 72: [2026-02-08T10:59:09.373Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T10:59:09.373Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T10:59:09.373Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T10:59:09.373Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T10:59:09.373Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T10:59:09.373Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (112568.548 ms) ====== [2026-02-08T10:59:10.154Z] ----------------------------------- [2026-02-08T10:59:10.154Z] renaissance-movie-lens_0_PASSED [2026-02-08T10:59:10.154Z] ----------------------------------- [2026-02-08T10:59:11.353Z] [2026-02-08T10:59:11.353Z] TEST TEARDOWN: [2026-02-08T10:59:11.353Z] Nothing to be done for teardown. [2026-02-08T10:59:11.353Z] renaissance-movie-lens_0 Finish Time: Sun Feb 8 10:59:11 2026 Epoch Time (ms): 1770548351151