[2026-01-21T01:33:55.665Z] Running test renaissance-movie-lens_0 ... [2026-01-21T01:33:55.665Z] =============================================== [2026-01-21T01:33:55.665Z] renaissance-movie-lens_0 Start Time: Wed Jan 21 01:33:55 2026 Epoch Time (ms): 1768959235333 [2026-01-21T01:33:55.665Z] variation: NoOptions [2026-01-21T01:33:55.665Z] JVM_OPTIONS: [2026-01-21T01:33:55.665Z] { \ [2026-01-21T01:33:55.665Z] echo ""; echo "TEST SETUP:"; \ [2026-01-21T01:33:55.665Z] echo "Nothing to be done for setup."; \ [2026-01-21T01:33:55.665Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17689579846604/renaissance-movie-lens_0"; \ [2026-01-21T01:33:55.665Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17689579846604/renaissance-movie-lens_0"; \ [2026-01-21T01:33:55.665Z] echo ""; echo "TESTING:"; \ [2026-01-21T01:33:55.665Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_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_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17689579846604/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-21T01:33:55.665Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17689579846604/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-21T01:33:55.665Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-21T01:33:55.665Z] echo "Nothing to be done for teardown."; \ [2026-01-21T01:33:55.665Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17689579846604/TestTargetResult"; [2026-01-21T01:33:55.665Z] [2026-01-21T01:33:55.665Z] TEST SETUP: [2026-01-21T01:33:55.665Z] Nothing to be done for setup. [2026-01-21T01:33:55.665Z] [2026-01-21T01:33:55.665Z] TESTING: [2026-01-21T01:34:03.335Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-21T01:34:12.725Z] 01:34:12.372 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-21T01:34:16.062Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-21T01:34:16.458Z] Training: 60056, validation: 20285, test: 19854 [2026-01-21T01:34:16.458Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-21T01:34:16.458Z] GC before operation: completed in 148.594 ms, heap usage 298.215 MB -> 76.080 MB. [2026-01-21T01:34:26.086Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T01:34:31.418Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T01:34:36.593Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T01:34:39.840Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T01:34:42.379Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T01:34:44.260Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T01:34:46.767Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T01:34:48.671Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T01:34:49.089Z] 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. [2026-01-21T01:34:49.089Z] The best model improves the baseline by 14.52%. [2026-01-21T01:34:49.503Z] Top recommended movies for user id 72: [2026-01-21T01:34:49.503Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T01:34:49.503Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T01:34:49.503Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T01:34:49.503Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T01:34:49.503Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T01:34:49.503Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (33116.648 ms) ====== [2026-01-21T01:34:49.503Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-21T01:34:49.881Z] GC before operation: completed in 157.724 ms, heap usage 377.329 MB -> 89.012 MB. [2026-01-21T01:34:54.040Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T01:34:58.187Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T01:35:01.509Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T01:35:05.648Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T01:35:07.548Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T01:35:10.017Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T01:35:11.935Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T01:35:13.790Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T01:35:14.179Z] 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. [2026-01-21T01:35:14.179Z] The best model improves the baseline by 14.52%. [2026-01-21T01:35:14.571Z] Top recommended movies for user id 72: [2026-01-21T01:35:14.571Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T01:35:14.571Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T01:35:14.571Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T01:35:14.571Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T01:35:14.571Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T01:35:14.571Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (24646.869 ms) ====== [2026-01-21T01:35:14.571Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-21T01:35:14.571Z] GC before operation: completed in 162.235 ms, heap usage 129.185 MB -> 91.689 MB. [2026-01-21T01:35:17.829Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T01:35:21.090Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T01:35:24.362Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T01:35:27.629Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T01:35:29.472Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T01:35:31.319Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T01:35:33.201Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T01:35:35.068Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T01:35:35.450Z] 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. [2026-01-21T01:35:35.450Z] The best model improves the baseline by 14.52%. [2026-01-21T01:35:35.450Z] Top recommended movies for user id 72: [2026-01-21T01:35:35.450Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T01:35:35.450Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T01:35:35.450Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T01:35:35.450Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T01:35:35.450Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T01:35:35.450Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21072.157 ms) ====== [2026-01-21T01:35:35.450Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-21T01:35:35.825Z] GC before operation: completed in 153.959 ms, heap usage 199.179 MB -> 89.437 MB. [2026-01-21T01:35:39.071Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T01:35:42.321Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T01:35:44.885Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T01:35:48.137Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T01:35:50.007Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T01:35:51.871Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T01:35:53.908Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T01:35:56.411Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T01:35:56.411Z] 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. [2026-01-21T01:35:56.411Z] The best model improves the baseline by 14.52%. [2026-01-21T01:35:56.825Z] Top recommended movies for user id 72: [2026-01-21T01:35:56.825Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T01:35:56.825Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T01:35:56.825Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T01:35:56.825Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T01:35:56.825Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T01:35:56.825Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20856.819 ms) ====== [2026-01-21T01:35:56.825Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-21T01:35:56.825Z] GC before operation: completed in 155.243 ms, heap usage 377.915 MB -> 89.966 MB. [2026-01-21T01:36:00.106Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T01:36:03.334Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T01:36:07.477Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T01:36:09.980Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T01:36:12.466Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T01:36:14.310Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T01:36:16.173Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T01:36:18.194Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T01:36:18.580Z] 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. [2026-01-21T01:36:18.580Z] The best model improves the baseline by 14.52%. [2026-01-21T01:36:18.950Z] Top recommended movies for user id 72: [2026-01-21T01:36:18.950Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T01:36:18.950Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T01:36:18.950Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T01:36:18.950Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T01:36:18.950Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T01:36:18.950Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (22108.830 ms) ====== [2026-01-21T01:36:18.950Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-21T01:36:18.950Z] GC before operation: completed in 159.984 ms, heap usage 543.893 MB -> 93.336 MB. [2026-01-21T01:36:23.124Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T01:36:25.604Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T01:36:28.891Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T01:36:32.134Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T01:36:34.067Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T01:36:35.979Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T01:36:37.830Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T01:36:39.740Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T01:36:40.138Z] 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. [2026-01-21T01:36:40.138Z] The best model improves the baseline by 14.52%. [2026-01-21T01:36:40.138Z] Top recommended movies for user id 72: [2026-01-21T01:36:40.138Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T01:36:40.138Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T01:36:40.138Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T01:36:40.138Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T01:36:40.138Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T01:36:40.138Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (21139.450 ms) ====== [2026-01-21T01:36:40.138Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-21T01:36:40.507Z] GC before operation: completed in 144.245 ms, heap usage 340.791 MB -> 90.109 MB. [2026-01-21T01:36:43.781Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T01:36:47.090Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T01:36:49.698Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T01:36:54.561Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T01:36:54.942Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T01:36:56.801Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T01:36:58.723Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T01:37:01.237Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T01:37:01.237Z] 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. [2026-01-21T01:37:01.237Z] The best model improves the baseline by 14.52%. [2026-01-21T01:37:01.237Z] Top recommended movies for user id 72: [2026-01-21T01:37:01.237Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T01:37:01.237Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T01:37:01.237Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T01:37:01.237Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T01:37:01.237Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T01:37:01.237Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20986.655 ms) ====== [2026-01-21T01:37:01.237Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-21T01:37:01.610Z] GC before operation: completed in 148.307 ms, heap usage 339.739 MB -> 90.116 MB. [2026-01-21T01:37:04.852Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T01:37:07.407Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T01:37:10.662Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T01:37:13.151Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T01:37:15.078Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T01:37:16.991Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T01:37:18.863Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T01:37:20.219Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T01:37:20.612Z] 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. [2026-01-21T01:37:20.612Z] The best model improves the baseline by 14.52%. [2026-01-21T01:37:21.020Z] Top recommended movies for user id 72: [2026-01-21T01:37:21.020Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T01:37:21.020Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T01:37:21.020Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T01:37:21.020Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T01:37:21.020Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T01:37:21.020Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19352.884 ms) ====== [2026-01-21T01:37:21.020Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-21T01:37:21.020Z] GC before operation: completed in 143.601 ms, heap usage 250.371 MB -> 90.200 MB. [2026-01-21T01:37:24.281Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T01:37:26.786Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T01:37:29.998Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T01:37:32.477Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T01:37:34.987Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T01:37:36.831Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T01:37:38.702Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T01:37:40.675Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T01:37:40.675Z] 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. [2026-01-21T01:37:40.675Z] The best model improves the baseline by 14.52%. [2026-01-21T01:37:41.060Z] Top recommended movies for user id 72: [2026-01-21T01:37:41.060Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T01:37:41.060Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T01:37:41.060Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T01:37:41.060Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T01:37:41.060Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T01:37:41.060Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19949.281 ms) ====== [2026-01-21T01:37:41.060Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-21T01:37:41.060Z] GC before operation: completed in 144.667 ms, heap usage 527.179 MB -> 93.730 MB. [2026-01-21T01:37:44.301Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T01:37:46.810Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T01:37:50.080Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T01:37:53.309Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T01:37:55.172Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T01:37:56.469Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T01:37:58.375Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T01:38:00.225Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T01:38:00.225Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-21T01:38:00.225Z] The best model improves the baseline by 14.52%. [2026-01-21T01:38:00.596Z] Top recommended movies for user id 72: [2026-01-21T01:38:00.596Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T01:38:00.596Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T01:38:00.596Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T01:38:00.596Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T01:38:00.596Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T01:38:00.596Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19460.417 ms) ====== [2026-01-21T01:38:00.596Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-21T01:38:00.596Z] GC before operation: completed in 146.794 ms, heap usage 773.982 MB -> 94.349 MB. [2026-01-21T01:38:03.839Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T01:38:07.139Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T01:38:09.660Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T01:38:12.931Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T01:38:14.222Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T01:38:16.095Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T01:38:18.618Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T01:38:19.991Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T01:38:20.366Z] 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. [2026-01-21T01:38:20.366Z] The best model improves the baseline by 14.52%. [2026-01-21T01:38:20.737Z] Top recommended movies for user id 72: [2026-01-21T01:38:20.737Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T01:38:20.737Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T01:38:20.737Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T01:38:20.737Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T01:38:20.737Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T01:38:20.737Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (20029.653 ms) ====== [2026-01-21T01:38:20.737Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-21T01:38:20.737Z] GC before operation: completed in 143.143 ms, heap usage 289.854 MB -> 90.218 MB. [2026-01-21T01:38:23.990Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T01:38:27.231Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T01:38:29.762Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T01:38:33.004Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T01:38:34.851Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T01:38:36.720Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T01:38:38.613Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T01:38:40.531Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T01:38:40.927Z] 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. [2026-01-21T01:38:40.927Z] The best model improves the baseline by 14.52%. [2026-01-21T01:38:40.927Z] Top recommended movies for user id 72: [2026-01-21T01:38:40.927Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T01:38:40.927Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T01:38:40.927Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T01:38:40.927Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T01:38:40.927Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T01:38:40.927Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (20141.706 ms) ====== [2026-01-21T01:38:40.927Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-21T01:38:41.300Z] GC before operation: completed in 137.609 ms, heap usage 135.341 MB -> 90.150 MB. [2026-01-21T01:38:44.550Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T01:38:47.063Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T01:38:50.290Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T01:38:53.569Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T01:38:55.541Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T01:38:57.421Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T01:38:59.333Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T01:39:01.162Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T01:39:01.162Z] 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. [2026-01-21T01:39:01.162Z] The best model improves the baseline by 14.52%. [2026-01-21T01:39:01.534Z] Top recommended movies for user id 72: [2026-01-21T01:39:01.534Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T01:39:01.534Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T01:39:01.534Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T01:39:01.534Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T01:39:01.534Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T01:39:01.534Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (20401.332 ms) ====== [2026-01-21T01:39:01.534Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-21T01:39:01.534Z] GC before operation: completed in 152.966 ms, heap usage 365.148 MB -> 90.627 MB. [2026-01-21T01:39:04.765Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T01:39:08.051Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T01:39:11.345Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T01:39:13.837Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T01:39:15.776Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T01:39:17.071Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T01:39:18.914Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T01:39:20.779Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T01:39:20.779Z] 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. [2026-01-21T01:39:20.779Z] The best model improves the baseline by 14.52%. [2026-01-21T01:39:21.147Z] Top recommended movies for user id 72: [2026-01-21T01:39:21.147Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T01:39:21.147Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T01:39:21.147Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T01:39:21.147Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T01:39:21.147Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T01:39:21.147Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19458.142 ms) ====== [2026-01-21T01:39:21.147Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-21T01:39:21.147Z] GC before operation: completed in 147.631 ms, heap usage 472.078 MB -> 90.585 MB. [2026-01-21T01:39:24.378Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T01:39:26.860Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T01:39:30.151Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T01:39:32.667Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T01:39:34.584Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T01:39:36.438Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T01:39:38.287Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T01:39:40.191Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T01:39:40.564Z] 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. [2026-01-21T01:39:40.564Z] The best model improves the baseline by 14.52%. [2026-01-21T01:39:40.564Z] Top recommended movies for user id 72: [2026-01-21T01:39:40.564Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T01:39:40.564Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T01:39:40.564Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T01:39:40.564Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T01:39:40.564Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T01:39:40.564Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19371.847 ms) ====== [2026-01-21T01:39:40.564Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-21T01:39:40.937Z] GC before operation: completed in 169.608 ms, heap usage 378.841 MB -> 90.650 MB. [2026-01-21T01:39:44.210Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T01:39:46.822Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T01:39:50.153Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T01:39:53.470Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T01:39:54.756Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T01:39:56.629Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T01:39:59.118Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T01:40:00.961Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T01:40:00.961Z] 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. [2026-01-21T01:40:00.961Z] The best model improves the baseline by 14.52%. [2026-01-21T01:40:01.334Z] Top recommended movies for user id 72: [2026-01-21T01:40:01.334Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T01:40:01.334Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T01:40:01.334Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T01:40:01.334Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T01:40:01.334Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T01:40:01.334Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (20404.725 ms) ====== [2026-01-21T01:40:01.334Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-21T01:40:01.334Z] GC before operation: completed in 141.862 ms, heap usage 290.693 MB -> 90.446 MB. [2026-01-21T01:40:04.595Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T01:40:07.101Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T01:40:10.460Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T01:40:12.966Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T01:40:14.270Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T01:40:16.110Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T01:40:17.981Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T01:40:19.861Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T01:40:19.861Z] 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. [2026-01-21T01:40:19.861Z] The best model improves the baseline by 14.52%. [2026-01-21T01:40:19.861Z] Top recommended movies for user id 72: [2026-01-21T01:40:19.861Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T01:40:19.861Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T01:40:19.861Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T01:40:19.861Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T01:40:19.861Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T01:40:19.861Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18610.588 ms) ====== [2026-01-21T01:40:19.861Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-21T01:40:20.241Z] GC before operation: completed in 143.130 ms, heap usage 197.909 MB -> 90.337 MB. [2026-01-21T01:40:23.450Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T01:40:25.967Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T01:40:29.230Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T01:40:31.748Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T01:40:33.030Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T01:40:35.011Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T01:40:36.847Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T01:40:38.740Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T01:40:39.121Z] 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. [2026-01-21T01:40:39.121Z] The best model improves the baseline by 14.52%. [2026-01-21T01:40:39.121Z] Top recommended movies for user id 72: [2026-01-21T01:40:39.121Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T01:40:39.121Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T01:40:39.121Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T01:40:39.121Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T01:40:39.121Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T01:40:39.121Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19076.752 ms) ====== [2026-01-21T01:40:39.121Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-21T01:40:39.496Z] GC before operation: completed in 145.648 ms, heap usage 301.032 MB -> 90.344 MB. [2026-01-21T01:40:42.751Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T01:40:45.222Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T01:40:48.460Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T01:40:50.978Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T01:40:52.270Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T01:40:54.108Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T01:40:55.941Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T01:40:57.790Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T01:40:58.167Z] 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. [2026-01-21T01:40:58.167Z] The best model improves the baseline by 14.52%. [2026-01-21T01:40:58.167Z] Top recommended movies for user id 72: [2026-01-21T01:40:58.167Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T01:40:58.167Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T01:40:58.167Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T01:40:58.167Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T01:40:58.167Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T01:40:58.167Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18900.836 ms) ====== [2026-01-21T01:40:58.167Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-21T01:40:58.602Z] GC before operation: completed in 156.363 ms, heap usage 164.076 MB -> 90.567 MB. [2026-01-21T01:41:01.076Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T01:41:04.371Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T01:41:06.877Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T01:41:09.373Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T01:41:11.249Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T01:41:13.141Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T01:41:14.445Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T01:41:16.330Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T01:41:16.330Z] 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. [2026-01-21T01:41:16.700Z] The best model improves the baseline by 14.52%. [2026-01-21T01:41:16.701Z] Top recommended movies for user id 72: [2026-01-21T01:41:16.701Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T01:41:16.701Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T01:41:16.701Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T01:41:16.701Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T01:41:16.701Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T01:41:16.701Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18349.051 ms) ====== [2026-01-21T01:41:17.490Z] ----------------------------------- [2026-01-21T01:41:17.490Z] renaissance-movie-lens_0_PASSED [2026-01-21T01:41:17.490Z] ----------------------------------- [2026-01-21T01:41:17.490Z] [2026-01-21T01:41:17.490Z] TEST TEARDOWN: [2026-01-21T01:41:17.490Z] Nothing to be done for teardown. [2026-01-21T01:41:17.490Z] renaissance-movie-lens_0 Finish Time: Wed Jan 21 01:41:17 2026 Epoch Time (ms): 1768959677260