[2026-01-30T19:21:11.713Z] Running test renaissance-movie-lens_0 ... [2026-01-30T19:21:11.713Z] =============================================== [2026-01-30T19:21:11.713Z] renaissance-movie-lens_0 Start Time: Fri Jan 30 19:21:11 2026 Epoch Time (ms): 1769800871664 [2026-01-30T19:21:12.066Z] variation: NoOptions [2026-01-30T19:21:12.066Z] JVM_OPTIONS: [2026-01-30T19:21:12.066Z] { \ [2026-01-30T19:21:12.066Z] echo ""; echo "TEST SETUP:"; \ [2026-01-30T19:21:12.066Z] echo "Nothing to be done for setup."; \ [2026-01-30T19:21:12.066Z] mkdir -p "C:/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17697998804430\\renaissance-movie-lens_0"; \ [2026-01-30T19:21:12.066Z] cd "C:/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17697998804430\\renaissance-movie-lens_0"; \ [2026-01-30T19:21:12.066Z] echo ""; echo "TESTING:"; \ [2026-01-30T19:21:12.066Z] "c:/workspace/workspace/Test_openjdk21_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_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17697998804430\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2026-01-30T19:21:12.066Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17697998804430\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-30T19:21:12.066Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-30T19:21:12.066Z] echo "Nothing to be done for teardown."; \ [2026-01-30T19:21:12.066Z] } 2>&1 | tee -a "C:/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17697998804430\\TestTargetResult"; [2026-01-30T19:21:12.066Z] [2026-01-30T19:21:12.066Z] TEST SETUP: [2026-01-30T19:21:12.066Z] Nothing to be done for setup. [2026-01-30T19:21:12.066Z] [2026-01-30T19:21:12.066Z] TESTING: [2026-01-30T19:21:22.872Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-30T19:21:28.891Z] 19:21:28.257 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. [2026-01-30T19:21:30.653Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-30T19:21:30.653Z] Training: 60056, validation: 20285, test: 19854 [2026-01-30T19:21:30.653Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-30T19:21:30.653Z] GC before operation: completed in 79.988 ms, heap usage 368.201 MB -> 76.292 MB. [2026-01-30T19:21:41.533Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-30T19:21:48.891Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-30T19:21:56.178Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-30T19:22:03.421Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-30T19:22:07.222Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-30T19:22:11.042Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-30T19:22:15.769Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-30T19:22:19.660Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-30T19:22:19.660Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-30T19:22:19.660Z] The best model improves the baseline by 14.52%. [2026-01-30T19:22:20.018Z] Top recommended movies for user id 72: [2026-01-30T19:22:20.018Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-30T19:22:20.018Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-30T19:22:20.018Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-30T19:22:20.018Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-30T19:22:20.018Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-30T19:22:20.018Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (49049.921 ms) ====== [2026-01-30T19:22:20.018Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-30T19:22:20.018Z] GC before operation: completed in 150.416 ms, heap usage 309.172 MB -> 100.557 MB. [2026-01-30T19:22:27.293Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-30T19:22:38.156Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-30T19:22:47.103Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-30T19:22:56.583Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-30T19:23:02.597Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-30T19:23:07.435Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-30T19:23:12.261Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-30T19:23:19.582Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-30T19:23:20.436Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-30T19:23:20.436Z] The best model improves the baseline by 14.52%. [2026-01-30T19:23:20.762Z] Top recommended movies for user id 72: [2026-01-30T19:23:20.762Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-30T19:23:20.762Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-30T19:23:20.762Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-30T19:23:20.762Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-30T19:23:20.762Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-30T19:23:20.762Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (60606.870 ms) ====== [2026-01-30T19:23:20.762Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-30T19:23:20.762Z] GC before operation: completed in 128.111 ms, heap usage 213.745 MB -> 89.157 MB. [2026-01-30T19:23:33.992Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-30T19:23:47.170Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-30T19:23:58.107Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-30T19:24:05.374Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-30T19:24:10.211Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-30T19:24:15.004Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-30T19:24:19.754Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-30T19:24:24.515Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-30T19:24:24.903Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-30T19:24:25.259Z] The best model improves the baseline by 14.52%. [2026-01-30T19:24:25.259Z] Top recommended movies for user id 72: [2026-01-30T19:24:25.259Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-30T19:24:25.259Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-30T19:24:25.259Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-30T19:24:25.259Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-30T19:24:25.259Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-30T19:24:25.259Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (64670.196 ms) ====== [2026-01-30T19:24:25.259Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-30T19:24:25.259Z] GC before operation: completed in 84.411 ms, heap usage 267.699 MB -> 89.862 MB. [2026-01-30T19:24:34.131Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-30T19:24:43.221Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-30T19:24:54.056Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-30T19:25:01.337Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-30T19:25:06.114Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-30T19:25:09.992Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-30T19:25:15.903Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-30T19:25:19.686Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-30T19:25:20.076Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-30T19:25:20.076Z] The best model improves the baseline by 14.52%. [2026-01-30T19:25:20.556Z] Top recommended movies for user id 72: [2026-01-30T19:25:20.556Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-30T19:25:20.557Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-30T19:25:20.557Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-30T19:25:20.557Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-30T19:25:20.557Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-30T19:25:20.557Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (55055.485 ms) ====== [2026-01-30T19:25:20.557Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-30T19:25:20.557Z] GC before operation: completed in 83.756 ms, heap usage 289.164 MB -> 91.094 MB. [2026-01-30T19:25:29.534Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-30T19:25:36.802Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-30T19:25:47.656Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-30T19:25:53.561Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-30T19:25:57.374Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-30T19:26:02.110Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-30T19:26:06.866Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-30T19:26:10.668Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-30T19:26:10.668Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-30T19:26:10.668Z] The best model improves the baseline by 14.52%. [2026-01-30T19:26:10.668Z] Top recommended movies for user id 72: [2026-01-30T19:26:10.668Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-30T19:26:10.668Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-30T19:26:10.668Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-30T19:26:10.668Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-30T19:26:10.668Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-30T19:26:10.668Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (50216.710 ms) ====== [2026-01-30T19:26:10.668Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-30T19:26:10.668Z] GC before operation: completed in 76.940 ms, heap usage 97.299 MB -> 89.725 MB. [2026-01-30T19:26:19.583Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-30T19:26:28.571Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-30T19:26:39.497Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-30T19:26:46.777Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-30T19:26:51.555Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-30T19:26:56.366Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-30T19:27:02.292Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-30T19:27:07.143Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-30T19:27:07.572Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-30T19:27:07.572Z] The best model improves the baseline by 14.52%. [2026-01-30T19:27:07.572Z] Top recommended movies for user id 72: [2026-01-30T19:27:07.572Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-30T19:27:07.572Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-30T19:27:07.572Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-30T19:27:07.572Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-30T19:27:07.572Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-30T19:27:07.572Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (56830.197 ms) ====== [2026-01-30T19:27:07.572Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-30T19:27:07.936Z] GC before operation: completed in 71.403 ms, heap usage 167.510 MB -> 90.281 MB. [2026-01-30T19:27:18.878Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-30T19:27:27.816Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-30T19:27:38.629Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-30T19:27:45.888Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-30T19:27:50.645Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-30T19:27:54.484Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-30T19:27:59.274Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-30T19:28:05.194Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-30T19:28:05.585Z] 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. [2026-01-30T19:28:05.585Z] The best model improves the baseline by 14.52%. [2026-01-30T19:28:05.957Z] Top recommended movies for user id 72: [2026-01-30T19:28:05.957Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-30T19:28:05.957Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-30T19:28:05.957Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-30T19:28:05.957Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-30T19:28:05.957Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-30T19:28:05.957Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (58153.285 ms) ====== [2026-01-30T19:28:05.957Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-30T19:28:05.957Z] GC before operation: completed in 85.671 ms, heap usage 98.679 MB -> 90.097 MB. [2026-01-30T19:28:16.866Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-30T19:28:27.827Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-30T19:28:36.757Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-30T19:28:45.620Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-30T19:28:48.590Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-30T19:28:53.399Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-30T19:28:58.184Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-30T19:29:02.937Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-30T19:29:02.937Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-30T19:29:02.937Z] The best model improves the baseline by 14.52%. [2026-01-30T19:29:03.295Z] Top recommended movies for user id 72: [2026-01-30T19:29:03.295Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-30T19:29:03.295Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-30T19:29:03.295Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-30T19:29:03.295Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-30T19:29:03.295Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-30T19:29:03.295Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (57254.623 ms) ====== [2026-01-30T19:29:03.295Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-30T19:29:03.295Z] GC before operation: completed in 91.197 ms, heap usage 99.226 MB -> 90.236 MB. [2026-01-30T19:29:10.604Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-30T19:29:17.880Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-30T19:29:26.773Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-30T19:29:34.047Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-30T19:29:37.822Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-30T19:29:41.638Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-30T19:29:46.422Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-30T19:29:51.414Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-30T19:29:51.414Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-30T19:29:51.414Z] The best model improves the baseline by 14.52%. [2026-01-30T19:29:51.780Z] Top recommended movies for user id 72: [2026-01-30T19:29:51.780Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-30T19:29:51.780Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-30T19:29:51.780Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-30T19:29:51.780Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-30T19:29:51.780Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-30T19:29:51.780Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (48440.430 ms) ====== [2026-01-30T19:29:51.780Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-30T19:29:51.780Z] GC before operation: completed in 68.854 ms, heap usage 208.897 MB -> 90.276 MB. [2026-01-30T19:30:00.692Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-30T19:30:07.986Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-30T19:30:16.888Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-30T19:30:24.161Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-30T19:30:28.949Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-30T19:30:33.696Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-30T19:30:38.484Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-30T19:30:43.268Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-30T19:30:43.268Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-30T19:30:43.268Z] The best model improves the baseline by 14.52%. [2026-01-30T19:30:43.268Z] Top recommended movies for user id 72: [2026-01-30T19:30:43.268Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-30T19:30:43.268Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-30T19:30:43.268Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-30T19:30:43.268Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-30T19:30:43.268Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-30T19:30:43.268Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (51524.617 ms) ====== [2026-01-30T19:30:43.268Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-30T19:30:43.268Z] GC before operation: completed in 70.004 ms, heap usage 126.619 MB -> 90.423 MB. [2026-01-30T19:30:50.551Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-30T19:30:57.843Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-30T19:31:06.768Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-30T19:31:14.021Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-30T19:31:17.775Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-30T19:31:21.581Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-30T19:31:26.339Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-30T19:31:30.125Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-30T19:31:30.482Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-30T19:31:30.482Z] The best model improves the baseline by 14.52%. [2026-01-30T19:31:30.838Z] Top recommended movies for user id 72: [2026-01-30T19:31:30.838Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-30T19:31:30.838Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-30T19:31:30.838Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-30T19:31:30.838Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-30T19:31:30.838Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-30T19:31:30.838Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (47405.864 ms) ====== [2026-01-30T19:31:30.838Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-30T19:31:30.838Z] GC before operation: completed in 67.228 ms, heap usage 125.326 MB -> 90.162 MB. [2026-01-30T19:31:38.114Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-30T19:31:45.382Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-30T19:31:52.692Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-30T19:31:59.957Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-30T19:32:03.756Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-30T19:32:07.536Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-30T19:32:12.310Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-30T19:32:16.137Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-30T19:32:16.883Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-30T19:32:16.883Z] The best model improves the baseline by 14.52%. [2026-01-30T19:32:16.883Z] Top recommended movies for user id 72: [2026-01-30T19:32:16.883Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-30T19:32:16.883Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-30T19:32:16.883Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-30T19:32:16.883Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-30T19:32:16.883Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-30T19:32:16.883Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (46074.894 ms) ====== [2026-01-30T19:32:16.883Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-30T19:32:16.883Z] GC before operation: completed in 66.710 ms, heap usage 123.469 MB -> 90.401 MB. [2026-01-30T19:32:24.165Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-30T19:32:31.430Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-30T19:32:38.733Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-30T19:32:46.020Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-30T19:32:49.808Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-30T19:32:53.615Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-30T19:32:58.374Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-30T19:33:02.195Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-30T19:33:02.195Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-30T19:33:02.195Z] The best model improves the baseline by 14.52%. [2026-01-30T19:33:02.195Z] Top recommended movies for user id 72: [2026-01-30T19:33:02.195Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-30T19:33:02.195Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-30T19:33:02.195Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-30T19:33:02.195Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-30T19:33:02.195Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-30T19:33:02.195Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (45255.379 ms) ====== [2026-01-30T19:33:02.195Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-30T19:33:02.540Z] GC before operation: completed in 73.414 ms, heap usage 533.943 MB -> 90.994 MB. [2026-01-30T19:33:09.875Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-30T19:33:17.132Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-30T19:33:24.409Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-30T19:33:31.724Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-30T19:33:35.530Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-30T19:33:39.315Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-30T19:33:44.070Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-30T19:33:47.037Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-30T19:33:47.797Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-30T19:33:47.797Z] The best model improves the baseline by 14.52%. [2026-01-30T19:33:47.797Z] Top recommended movies for user id 72: [2026-01-30T19:33:47.797Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-30T19:33:47.797Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-30T19:33:47.797Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-30T19:33:47.797Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-30T19:33:47.797Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-30T19:33:47.797Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (45480.231 ms) ====== [2026-01-30T19:33:47.798Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-30T19:33:47.798Z] GC before operation: completed in 69.434 ms, heap usage 278.068 MB -> 90.525 MB. [2026-01-30T19:33:56.799Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-30T19:34:07.756Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-30T19:34:18.650Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-30T19:34:25.940Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-30T19:34:31.866Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-30T19:34:36.722Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-30T19:34:40.517Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-30T19:34:46.548Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-30T19:34:46.901Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-30T19:34:46.901Z] The best model improves the baseline by 14.52%. [2026-01-30T19:34:47.277Z] Top recommended movies for user id 72: [2026-01-30T19:34:47.277Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-30T19:34:47.277Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-30T19:34:47.277Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-30T19:34:47.277Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-30T19:34:47.277Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-30T19:34:47.277Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (59299.349 ms) ====== [2026-01-30T19:34:47.277Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-30T19:34:47.277Z] GC before operation: completed in 72.352 ms, heap usage 160.822 MB -> 90.699 MB. [2026-01-30T19:34:54.586Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-30T19:35:00.507Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-30T19:35:07.771Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-30T19:35:13.670Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-30T19:35:17.447Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-30T19:35:20.425Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-30T19:35:24.272Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-30T19:35:28.114Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-30T19:35:28.114Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-30T19:35:28.114Z] The best model improves the baseline by 14.52%. [2026-01-30T19:35:28.114Z] Top recommended movies for user id 72: [2026-01-30T19:35:28.114Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-30T19:35:28.114Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-30T19:35:28.114Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-30T19:35:28.114Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-30T19:35:28.114Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-30T19:35:28.114Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (40929.029 ms) ====== [2026-01-30T19:35:28.114Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-30T19:35:28.480Z] GC before operation: completed in 72.160 ms, heap usage 236.147 MB -> 90.595 MB. [2026-01-30T19:35:34.373Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-30T19:35:40.427Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-30T19:35:47.700Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-30T19:35:53.605Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-30T19:35:57.389Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-30T19:36:00.354Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-30T19:36:04.198Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-30T19:36:07.133Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-30T19:36:07.479Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-30T19:36:07.829Z] The best model improves the baseline by 14.52%. [2026-01-30T19:36:07.829Z] Top recommended movies for user id 72: [2026-01-30T19:36:07.829Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-30T19:36:07.829Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-30T19:36:07.829Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-30T19:36:07.829Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-30T19:36:07.829Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-30T19:36:07.829Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (39550.319 ms) ====== [2026-01-30T19:36:07.829Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-30T19:36:07.829Z] GC before operation: completed in 65.392 ms, heap usage 122.889 MB -> 90.509 MB. [2026-01-30T19:36:13.728Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-30T19:36:19.612Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-30T19:36:26.938Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-30T19:36:34.266Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-30T19:36:38.051Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-30T19:36:42.841Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-30T19:36:47.603Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-30T19:36:51.382Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-30T19:36:52.565Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-30T19:36:52.565Z] The best model improves the baseline by 14.52%. [2026-01-30T19:36:52.965Z] Top recommended movies for user id 72: [2026-01-30T19:36:52.965Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-30T19:36:52.965Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-30T19:36:52.965Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-30T19:36:52.965Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-30T19:36:52.965Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-30T19:36:52.965Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (44860.644 ms) ====== [2026-01-30T19:36:52.965Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-30T19:36:52.965Z] GC before operation: completed in 66.688 ms, heap usage 173.258 MB -> 90.425 MB. [2026-01-30T19:37:00.259Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-30T19:37:07.607Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-30T19:37:16.510Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-30T19:37:23.762Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-30T19:37:28.580Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-30T19:37:33.376Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-30T19:37:39.358Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-30T19:37:43.194Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-30T19:37:43.610Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-30T19:37:43.610Z] The best model improves the baseline by 14.52%. [2026-01-30T19:37:43.610Z] Top recommended movies for user id 72: [2026-01-30T19:37:43.610Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-30T19:37:43.610Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-30T19:37:43.610Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-30T19:37:43.610Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-30T19:37:43.610Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-30T19:37:43.610Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (50842.306 ms) ====== [2026-01-30T19:37:43.610Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-30T19:37:43.974Z] GC before operation: completed in 78.059 ms, heap usage 295.735 MB -> 90.685 MB. [2026-01-30T19:37:54.934Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-30T19:38:02.185Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-30T19:38:11.134Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-30T19:38:20.192Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-30T19:38:23.219Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-30T19:38:26.986Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-30T19:38:31.786Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-30T19:38:36.640Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-30T19:38:37.036Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-30T19:38:37.036Z] The best model improves the baseline by 14.52%. [2026-01-30T19:38:37.398Z] Top recommended movies for user id 72: [2026-01-30T19:38:37.398Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-30T19:38:37.398Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-30T19:38:37.398Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-30T19:38:37.398Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-30T19:38:37.398Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-30T19:38:37.398Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (53618.470 ms) ====== [2026-01-30T19:38:38.132Z] ----------------------------------- [2026-01-30T19:38:38.132Z] renaissance-movie-lens_0_PASSED [2026-01-30T19:38:38.132Z] ----------------------------------- [2026-01-30T19:38:38.885Z] [2026-01-30T19:38:38.885Z] TEST TEARDOWN: [2026-01-30T19:38:38.885Z] Nothing to be done for teardown. [2026-01-30T19:38:38.885Z] renaissance-movie-lens_0 Finish Time: Fri Jan 30 19:38:38 2026 Epoch Time (ms): 1769801918608