[2026-01-21T02:24:27.698Z] Running test renaissance-movie-lens_0 ... [2026-01-21T02:24:27.698Z] =============================================== [2026-01-21T02:24:27.698Z] renaissance-movie-lens_0 Start Time: Wed Jan 21 02:24:26 2026 Epoch Time (ms): 1768962266827 [2026-01-21T02:24:27.698Z] variation: NoOptions [2026-01-21T02:24:27.698Z] JVM_OPTIONS: [2026-01-21T02:24:27.698Z] { \ [2026-01-21T02:24:27.698Z] echo ""; echo "TEST SETUP:"; \ [2026-01-21T02:24:27.698Z] echo "Nothing to be done for setup."; \ [2026-01-21T02:24:27.698Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17689604099572/renaissance-movie-lens_0"; \ [2026-01-21T02:24:27.698Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17689604099572/renaissance-movie-lens_0"; \ [2026-01-21T02:24:27.698Z] echo ""; echo "TESTING:"; \ [2026-01-21T02:24:27.698Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/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 "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17689604099572/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-21T02:24:27.698Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17689604099572/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-21T02:24:27.698Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-21T02:24:27.698Z] echo "Nothing to be done for teardown."; \ [2026-01-21T02:24:27.698Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17689604099572/TestTargetResult"; [2026-01-21T02:24:27.698Z] [2026-01-21T02:24:27.698Z] TEST SETUP: [2026-01-21T02:24:27.698Z] Nothing to be done for setup. [2026-01-21T02:24:27.698Z] [2026-01-21T02:24:27.698Z] TESTING: [2026-01-21T02:24:53.941Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-21T02:25:14.276Z] 02:25:12.744 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-21T02:25:18.534Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-21T02:25:19.653Z] Training: 60056, validation: 20285, test: 19854 [2026-01-21T02:25:19.653Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-21T02:25:19.653Z] GC before operation: completed in 271.854 ms, heap usage 509.024 MB -> 76.097 MB. [2026-01-21T02:25:36.214Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T02:25:46.563Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T02:25:56.569Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T02:26:05.924Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T02:26:11.432Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T02:26:15.731Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T02:26:19.946Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T02:26:24.165Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T02:26:24.165Z] 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. [2026-01-21T02:26:25.134Z] The best model improves the baseline by 14.52%. [2026-01-21T02:26:25.134Z] Top recommended movies for user id 72: [2026-01-21T02:26:25.134Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T02:26:25.134Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T02:26:25.134Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T02:26:25.134Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T02:26:25.134Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T02:26:25.134Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (65674.741 ms) ====== [2026-01-21T02:26:25.134Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-21T02:26:25.134Z] GC before operation: completed in 318.304 ms, heap usage 425.554 MB -> 86.724 MB. [2026-01-21T02:26:33.437Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T02:26:42.976Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T02:26:47.188Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T02:26:53.960Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T02:26:57.019Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T02:27:00.104Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T02:27:03.855Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T02:27:08.053Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T02:27:08.053Z] 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. [2026-01-21T02:27:09.121Z] The best model improves the baseline by 14.52%. [2026-01-21T02:27:09.121Z] Top recommended movies for user id 72: [2026-01-21T02:27:09.121Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T02:27:09.121Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T02:27:09.121Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T02:27:09.121Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T02:27:09.121Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T02:27:09.121Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (43359.792 ms) ====== [2026-01-21T02:27:09.121Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-21T02:27:09.121Z] GC before operation: completed in 339.017 ms, heap usage 303.959 MB -> 88.841 MB. [2026-01-21T02:27:15.885Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T02:27:21.300Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T02:27:28.101Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T02:27:33.511Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T02:27:36.567Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T02:27:39.616Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T02:27:43.816Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T02:27:48.018Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T02:27:48.018Z] 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. [2026-01-21T02:27:48.018Z] The best model improves the baseline by 14.52%. [2026-01-21T02:27:48.993Z] Top recommended movies for user id 72: [2026-01-21T02:27:48.993Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T02:27:48.993Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T02:27:48.993Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T02:27:48.993Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T02:27:48.993Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T02:27:48.993Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (39331.991 ms) ====== [2026-01-21T02:27:48.993Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-21T02:27:48.993Z] GC before operation: completed in 412.551 ms, heap usage 393.253 MB -> 89.593 MB. [2026-01-21T02:27:55.821Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T02:28:01.631Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T02:28:08.400Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T02:28:15.233Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T02:28:18.294Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T02:28:22.520Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T02:28:25.598Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T02:28:29.805Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T02:28:29.805Z] 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. [2026-01-21T02:28:29.805Z] The best model improves the baseline by 14.52%. [2026-01-21T02:28:29.805Z] Top recommended movies for user id 72: [2026-01-21T02:28:29.805Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T02:28:29.805Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T02:28:29.805Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T02:28:29.805Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T02:28:29.805Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T02:28:29.805Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (41072.438 ms) ====== [2026-01-21T02:28:29.805Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-21T02:28:30.788Z] GC before operation: completed in 356.044 ms, heap usage 129.969 MB -> 91.864 MB. [2026-01-21T02:28:36.244Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T02:28:41.858Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T02:28:48.638Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T02:28:54.069Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T02:28:57.540Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T02:29:00.599Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T02:29:04.807Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T02:29:09.055Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T02:29:09.055Z] 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. [2026-01-21T02:29:09.055Z] The best model improves the baseline by 14.52%. [2026-01-21T02:29:09.055Z] Top recommended movies for user id 72: [2026-01-21T02:29:09.055Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T02:29:09.055Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T02:29:09.055Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T02:29:09.055Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T02:29:09.055Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T02:29:09.055Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (39009.170 ms) ====== [2026-01-21T02:29:09.055Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-21T02:29:10.009Z] GC before operation: completed in 309.073 ms, heap usage 213.284 MB -> 89.554 MB. [2026-01-21T02:29:15.507Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T02:29:22.306Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T02:29:27.777Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T02:29:33.213Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T02:29:36.274Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T02:29:39.330Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T02:29:42.377Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T02:29:45.420Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T02:29:46.388Z] 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. [2026-01-21T02:29:46.388Z] The best model improves the baseline by 14.52%. [2026-01-21T02:29:46.388Z] Top recommended movies for user id 72: [2026-01-21T02:29:46.388Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T02:29:46.388Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T02:29:46.388Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T02:29:46.388Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T02:29:46.388Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T02:29:46.388Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (36502.640 ms) ====== [2026-01-21T02:29:46.388Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-21T02:29:46.388Z] GC before operation: completed in 393.894 ms, heap usage 446.518 MB -> 90.235 MB. [2026-01-21T02:29:51.808Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T02:29:57.071Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T02:30:01.268Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T02:30:07.364Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T02:30:10.756Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T02:30:14.366Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T02:30:17.413Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T02:30:21.765Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T02:30:21.765Z] 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. [2026-01-21T02:30:21.765Z] The best model improves the baseline by 14.52%. [2026-01-21T02:30:21.765Z] Top recommended movies for user id 72: [2026-01-21T02:30:21.765Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T02:30:21.765Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T02:30:21.765Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T02:30:21.765Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T02:30:21.765Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T02:30:21.765Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (35215.090 ms) ====== [2026-01-21T02:30:21.765Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-21T02:30:21.765Z] GC before operation: completed in 267.839 ms, heap usage 386.054 MB -> 90.147 MB. [2026-01-21T02:30:27.515Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T02:30:33.016Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T02:30:38.770Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T02:30:43.015Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T02:30:47.351Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T02:30:50.618Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T02:30:54.601Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T02:30:58.266Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T02:30:58.266Z] 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. [2026-01-21T02:30:58.266Z] The best model improves the baseline by 14.52%. [2026-01-21T02:30:59.586Z] Top recommended movies for user id 72: [2026-01-21T02:30:59.586Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T02:30:59.586Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T02:30:59.586Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T02:30:59.586Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T02:30:59.586Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T02:30:59.587Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (36996.408 ms) ====== [2026-01-21T02:30:59.587Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-21T02:30:59.587Z] GC before operation: completed in 304.050 ms, heap usage 212.971 MB -> 90.103 MB. [2026-01-21T02:31:05.012Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T02:31:10.777Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T02:31:18.580Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T02:31:26.934Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T02:31:29.997Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T02:31:32.374Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T02:31:35.800Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T02:31:38.858Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T02:31:38.858Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-21T02:31:39.823Z] The best model improves the baseline by 14.52%. [2026-01-21T02:31:39.823Z] Top recommended movies for user id 72: [2026-01-21T02:31:39.823Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T02:31:39.823Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T02:31:39.823Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T02:31:39.823Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T02:31:39.823Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T02:31:39.823Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (40361.340 ms) ====== [2026-01-21T02:31:39.823Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-21T02:31:39.823Z] GC before operation: completed in 367.997 ms, heap usage 189.131 MB -> 92.231 MB. [2026-01-21T02:31:47.051Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T02:31:52.536Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T02:31:57.552Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T02:32:02.978Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T02:32:04.975Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T02:32:08.448Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T02:32:11.511Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T02:32:16.060Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T02:32:16.060Z] 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. [2026-01-21T02:32:16.060Z] The best model improves the baseline by 14.52%. [2026-01-21T02:32:16.060Z] Top recommended movies for user id 72: [2026-01-21T02:32:16.060Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T02:32:16.060Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T02:32:16.060Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T02:32:16.060Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T02:32:16.060Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T02:32:16.060Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (36300.048 ms) ====== [2026-01-21T02:32:16.060Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-21T02:32:17.060Z] GC before operation: completed in 296.698 ms, heap usage 489.619 MB -> 90.531 MB. [2026-01-21T02:32:22.784Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T02:32:28.204Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T02:32:33.887Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T02:32:39.903Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T02:32:43.262Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T02:32:48.194Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T02:32:51.252Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T02:32:54.439Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T02:32:55.416Z] 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. [2026-01-21T02:32:55.416Z] The best model improves the baseline by 14.52%. [2026-01-21T02:32:55.416Z] Top recommended movies for user id 72: [2026-01-21T02:32:55.416Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T02:32:55.416Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T02:32:55.416Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T02:32:55.416Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T02:32:55.416Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T02:32:55.416Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (38972.698 ms) ====== [2026-01-21T02:32:55.416Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-21T02:32:56.376Z] GC before operation: completed in 395.441 ms, heap usage 154.899 MB -> 89.918 MB. [2026-01-21T02:33:01.989Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T02:33:07.786Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T02:33:14.958Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T02:33:19.391Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T02:33:24.447Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T02:33:27.563Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T02:33:31.823Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T02:33:34.886Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T02:33:34.886Z] 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. [2026-01-21T02:33:34.886Z] The best model improves the baseline by 14.52%. [2026-01-21T02:33:34.886Z] Top recommended movies for user id 72: [2026-01-21T02:33:34.886Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T02:33:34.886Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T02:33:34.886Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T02:33:34.886Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T02:33:34.886Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T02:33:34.886Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (39059.411 ms) ====== [2026-01-21T02:33:34.886Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-21T02:33:35.853Z] GC before operation: completed in 291.943 ms, heap usage 399.443 MB -> 90.362 MB. [2026-01-21T02:33:40.253Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T02:33:47.083Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T02:33:52.018Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T02:33:57.487Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T02:34:00.548Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T02:34:03.702Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T02:34:06.835Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T02:34:09.896Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T02:34:10.914Z] 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. [2026-01-21T02:34:10.914Z] The best model improves the baseline by 14.52%. [2026-01-21T02:34:10.914Z] Top recommended movies for user id 72: [2026-01-21T02:34:10.914Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T02:34:10.914Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T02:34:10.914Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T02:34:10.914Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T02:34:10.914Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T02:34:10.914Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (35230.341 ms) ====== [2026-01-21T02:34:10.914Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-21T02:34:10.914Z] GC before operation: completed in 297.354 ms, heap usage 529.539 MB -> 90.668 MB. [2026-01-21T02:34:17.707Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T02:34:21.923Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T02:34:27.386Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T02:34:32.848Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T02:34:35.928Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T02:34:38.991Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T02:34:42.048Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T02:34:45.106Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T02:34:46.075Z] 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. [2026-01-21T02:34:46.075Z] The best model improves the baseline by 14.52%. [2026-01-21T02:34:46.075Z] Top recommended movies for user id 72: [2026-01-21T02:34:46.075Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T02:34:46.075Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T02:34:46.075Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T02:34:46.075Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T02:34:46.075Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T02:34:46.075Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (35202.348 ms) ====== [2026-01-21T02:34:46.075Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-21T02:34:46.075Z] GC before operation: completed in 267.456 ms, heap usage 98.802 MB -> 90.156 MB. [2026-01-21T02:34:52.236Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T02:34:56.421Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T02:35:01.857Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T02:35:07.527Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T02:35:10.579Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T02:35:13.636Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T02:35:15.622Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T02:35:18.721Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T02:35:19.691Z] 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. [2026-01-21T02:35:19.691Z] The best model improves the baseline by 14.52%. [2026-01-21T02:35:19.691Z] Top recommended movies for user id 72: [2026-01-21T02:35:19.691Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T02:35:19.691Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T02:35:19.691Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T02:35:19.691Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T02:35:19.691Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T02:35:19.691Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (33236.253 ms) ====== [2026-01-21T02:35:19.691Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-21T02:35:19.691Z] GC before operation: completed in 322.734 ms, heap usage 539.197 MB -> 90.788 MB. [2026-01-21T02:35:25.107Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T02:35:29.311Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T02:35:34.737Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T02:35:38.939Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T02:35:42.698Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T02:35:44.690Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T02:35:47.780Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T02:35:50.835Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T02:35:51.806Z] 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. [2026-01-21T02:35:51.806Z] The best model improves the baseline by 14.52%. [2026-01-21T02:35:51.806Z] Top recommended movies for user id 72: [2026-01-21T02:35:51.806Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T02:35:51.806Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T02:35:51.806Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T02:35:51.806Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T02:35:51.806Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T02:35:51.806Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (31714.698 ms) ====== [2026-01-21T02:35:51.806Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-21T02:35:51.806Z] GC before operation: completed in 355.562 ms, heap usage 371.876 MB -> 90.353 MB. [2026-01-21T02:35:57.317Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T02:36:02.060Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T02:36:07.666Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T02:36:11.862Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T02:36:14.991Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T02:36:18.063Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T02:36:22.262Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T02:36:24.248Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T02:36:25.210Z] 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. [2026-01-21T02:36:25.210Z] The best model improves the baseline by 14.52%. [2026-01-21T02:36:25.210Z] Top recommended movies for user id 72: [2026-01-21T02:36:25.210Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T02:36:25.210Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T02:36:25.210Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T02:36:25.210Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T02:36:25.210Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T02:36:25.210Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (33222.202 ms) ====== [2026-01-21T02:36:25.211Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-21T02:36:26.166Z] GC before operation: completed in 359.596 ms, heap usage 213.444 MB -> 90.211 MB. [2026-01-21T02:36:30.372Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T02:36:34.559Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T02:36:39.449Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T02:36:43.669Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T02:36:45.646Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T02:36:48.702Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T02:36:51.733Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T02:36:53.712Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T02:36:54.679Z] 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. [2026-01-21T02:36:54.679Z] The best model improves the baseline by 14.52%. [2026-01-21T02:36:54.679Z] Top recommended movies for user id 72: [2026-01-21T02:36:54.679Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T02:36:54.679Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T02:36:54.679Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T02:36:54.679Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T02:36:54.679Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T02:36:54.679Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (28863.343 ms) ====== [2026-01-21T02:36:54.679Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-21T02:36:54.679Z] GC before operation: completed in 271.735 ms, heap usage 366.365 MB -> 90.289 MB. [2026-01-21T02:36:58.870Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T02:37:03.062Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T02:37:08.662Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T02:37:11.687Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T02:37:12.669Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T02:37:14.631Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T02:37:16.621Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T02:37:17.574Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T02:37:18.534Z] 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. [2026-01-21T02:37:18.534Z] The best model improves the baseline by 14.52%. [2026-01-21T02:37:18.534Z] Top recommended movies for user id 72: [2026-01-21T02:37:18.534Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T02:37:18.534Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T02:37:18.534Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T02:37:18.534Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T02:37:18.534Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T02:37:18.534Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (23538.438 ms) ====== [2026-01-21T02:37:18.534Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-21T02:37:18.534Z] GC before operation: completed in 214.430 ms, heap usage 464.184 MB -> 90.548 MB. [2026-01-21T02:37:21.562Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T02:37:24.598Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T02:37:27.630Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T02:37:30.678Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T02:37:33.371Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T02:37:34.333Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T02:37:37.378Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T02:37:38.332Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T02:37:39.287Z] 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. [2026-01-21T02:37:39.287Z] The best model improves the baseline by 14.52%. [2026-01-21T02:37:39.287Z] Top recommended movies for user id 72: [2026-01-21T02:37:39.287Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T02:37:39.287Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T02:37:39.287Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T02:37:39.287Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T02:37:39.287Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T02:37:39.287Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (20763.337 ms) ====== [2026-01-21T02:37:43.442Z] ----------------------------------- [2026-01-21T02:37:43.442Z] renaissance-movie-lens_0_PASSED [2026-01-21T02:37:43.442Z] ----------------------------------- [2026-01-21T02:37:43.442Z] [2026-01-21T02:37:43.442Z] TEST TEARDOWN: [2026-01-21T02:37:43.442Z] Nothing to be done for teardown. [2026-01-21T02:37:44.400Z] renaissance-movie-lens_0 Finish Time: Wed Jan 21 02:37:43 2026 Epoch Time (ms): 1768963063827