[2026-02-05T00:24:35.777Z] Running test renaissance-movie-lens_0 ... [2026-02-05T00:24:35.777Z] =============================================== [2026-02-05T00:24:35.777Z] renaissance-movie-lens_0 Start Time: Thu Feb 5 00:24:35 2026 Epoch Time (ms): 1770251075607 [2026-02-05T00:24:35.777Z] variation: NoOptions [2026-02-05T00:24:35.777Z] JVM_OPTIONS: [2026-02-05T00:24:35.777Z] { \ [2026-02-05T00:24:35.777Z] echo ""; echo "TEST SETUP:"; \ [2026-02-05T00:24:35.777Z] echo "Nothing to be done for setup."; \ [2026-02-05T00:24:35.777Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17702495896324/renaissance-movie-lens_0"; \ [2026-02-05T00:24:35.777Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17702495896324/renaissance-movie-lens_0"; \ [2026-02-05T00:24:35.777Z] echo ""; echo "TESTING:"; \ [2026-02-05T00:24:35.778Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_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_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17702495896324/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-05T00:24:35.778Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17702495896324/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-05T00:24:35.778Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-05T00:24:35.778Z] echo "Nothing to be done for teardown."; \ [2026-02-05T00:24:35.778Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17702495896324/TestTargetResult"; [2026-02-05T00:24:35.778Z] [2026-02-05T00:24:35.778Z] TEST SETUP: [2026-02-05T00:24:35.778Z] Nothing to be done for setup. [2026-02-05T00:24:35.778Z] [2026-02-05T00:24:35.778Z] TESTING: [2026-02-05T00:24:49.398Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-05T00:25:03.191Z] 00:25:01.551 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. [2026-02-05T00:25:06.562Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-05T00:25:07.329Z] Training: 60056, validation: 20285, test: 19854 [2026-02-05T00:25:07.329Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-05T00:25:08.094Z] GC before operation: completed in 282.035 ms, heap usage 259.016 MB -> 75.929 MB. [2026-02-05T00:25:21.772Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:25:32.017Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:25:40.264Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:25:47.098Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:25:52.655Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:25:57.041Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:26:01.438Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:26:05.828Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:26:06.586Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-05T00:26:06.586Z] The best model improves the baseline by 14.52%. [2026-02-05T00:26:07.335Z] Top recommended movies for user id 72: [2026-02-05T00:26:07.335Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:26:07.335Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:26:07.335Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:26:07.335Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:26:07.335Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:26:07.335Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (59298.028 ms) ====== [2026-02-05T00:26:07.335Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-05T00:26:07.335Z] GC before operation: completed in 263.207 ms, heap usage 121.450 MB -> 86.348 MB. [2026-02-05T00:26:14.066Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:26:20.787Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:26:28.034Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:26:36.170Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:26:38.598Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:26:41.955Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:26:45.323Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:26:49.714Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:26:49.714Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-05T00:26:49.714Z] The best model improves the baseline by 14.52%. [2026-02-05T00:26:49.714Z] Top recommended movies for user id 72: [2026-02-05T00:26:49.714Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:26:49.714Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:26:49.714Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:26:49.714Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:26:49.714Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:26:49.714Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (42520.993 ms) ====== [2026-02-05T00:26:49.714Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-05T00:26:50.481Z] GC before operation: completed in 262.216 ms, heap usage 522.154 MB -> 92.357 MB. [2026-02-05T00:26:56.067Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:27:02.809Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:27:09.544Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:27:15.077Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:27:17.999Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:27:21.361Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:27:25.747Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:27:29.104Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:27:29.104Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-05T00:27:29.104Z] The best model improves the baseline by 14.52%. [2026-02-05T00:27:29.856Z] Top recommended movies for user id 72: [2026-02-05T00:27:29.856Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:27:29.856Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:27:29.856Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:27:29.856Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:27:29.856Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:27:29.856Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (39474.836 ms) ====== [2026-02-05T00:27:29.856Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-05T00:27:29.856Z] GC before operation: completed in 286.570 ms, heap usage 434.413 MB -> 89.542 MB. [2026-02-05T00:27:36.594Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:27:42.074Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:27:47.570Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:27:54.395Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:27:57.741Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:28:02.112Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:28:05.493Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:28:08.403Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:28:09.158Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-05T00:28:09.158Z] The best model improves the baseline by 14.52%. [2026-02-05T00:28:09.914Z] Top recommended movies for user id 72: [2026-02-05T00:28:09.914Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:28:09.914Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:28:09.914Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:28:09.914Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:28:09.914Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:28:09.914Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (39652.024 ms) ====== [2026-02-05T00:28:09.914Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-05T00:28:09.914Z] GC before operation: completed in 237.423 ms, heap usage 444.549 MB -> 89.912 MB. [2026-02-05T00:28:15.429Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:28:20.935Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:28:29.068Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:28:34.555Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:28:38.938Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:28:42.288Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:28:45.637Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:28:48.977Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:28:49.729Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-05T00:28:49.729Z] The best model improves the baseline by 14.52%. [2026-02-05T00:28:49.729Z] Top recommended movies for user id 72: [2026-02-05T00:28:49.729Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:28:49.729Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:28:49.729Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:28:49.729Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:28:49.729Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:28:49.729Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (40143.066 ms) ====== [2026-02-05T00:28:49.729Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-05T00:28:50.488Z] GC before operation: completed in 269.924 ms, heap usage 177.419 MB -> 89.497 MB. [2026-02-05T00:28:56.589Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:29:03.336Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:29:08.816Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:29:14.300Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:29:17.657Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:29:21.006Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:29:24.364Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:29:27.714Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:29:28.462Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-05T00:29:28.462Z] The best model improves the baseline by 14.52%. [2026-02-05T00:29:28.462Z] Top recommended movies for user id 72: [2026-02-05T00:29:28.462Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:29:28.462Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:29:28.462Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:29:28.462Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:29:28.462Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:29:28.462Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (38494.843 ms) ====== [2026-02-05T00:29:28.462Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-05T00:29:29.226Z] GC before operation: completed in 256.428 ms, heap usage 119.629 MB -> 89.805 MB. [2026-02-05T00:29:34.729Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:29:39.115Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:29:44.612Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:29:50.584Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:29:53.115Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:29:56.457Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:29:59.797Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:30:03.207Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:30:03.977Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-05T00:30:03.977Z] The best model improves the baseline by 14.52%. [2026-02-05T00:30:03.977Z] Top recommended movies for user id 72: [2026-02-05T00:30:03.977Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:30:03.977Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:30:03.977Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:30:03.977Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:30:03.977Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:30:03.977Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (35096.603 ms) ====== [2026-02-05T00:30:03.977Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-05T00:30:04.731Z] GC before operation: completed in 311.030 ms, heap usage 233.457 MB -> 89.822 MB. [2026-02-05T00:30:10.216Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:30:16.961Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:30:22.437Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:30:27.883Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:30:31.379Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:30:36.906Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:30:39.844Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:30:44.282Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:30:44.282Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-05T00:30:44.282Z] The best model improves the baseline by 14.52%. [2026-02-05T00:30:45.049Z] Top recommended movies for user id 72: [2026-02-05T00:30:45.049Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:30:45.049Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:30:45.049Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:30:45.049Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:30:45.049Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:30:45.049Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (40309.627 ms) ====== [2026-02-05T00:30:45.049Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-05T00:30:45.049Z] GC before operation: completed in 332.873 ms, heap usage 119.204 MB -> 89.930 MB. [2026-02-05T00:30:51.922Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:30:57.488Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:31:03.102Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:31:08.649Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:31:12.039Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:31:15.433Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:31:18.820Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:31:22.262Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:31:22.262Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-05T00:31:22.262Z] The best model improves the baseline by 14.52%. [2026-02-05T00:31:23.043Z] Top recommended movies for user id 72: [2026-02-05T00:31:23.043Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:31:23.043Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:31:23.043Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:31:23.043Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:31:23.043Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:31:23.043Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (37685.542 ms) ====== [2026-02-05T00:31:23.043Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-05T00:31:23.043Z] GC before operation: completed in 359.323 ms, heap usage 171.953 MB -> 89.867 MB. [2026-02-05T00:31:28.844Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:31:34.710Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:31:39.220Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:31:44.868Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:31:48.332Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:31:50.828Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:31:54.278Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:31:58.798Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:31:58.798Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-05T00:31:58.798Z] The best model improves the baseline by 14.52%. [2026-02-05T00:31:58.798Z] Top recommended movies for user id 72: [2026-02-05T00:31:58.798Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:31:58.798Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:31:58.798Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:31:58.798Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:31:58.798Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:31:58.798Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (35853.022 ms) ====== [2026-02-05T00:31:58.798Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-05T00:31:59.575Z] GC before operation: completed in 301.352 ms, heap usage 121.556 MB -> 89.960 MB. [2026-02-05T00:32:05.220Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:32:10.876Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:32:17.824Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:32:22.853Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:32:26.306Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:32:29.766Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:32:33.235Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:32:38.881Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:32:38.881Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-05T00:32:38.881Z] The best model improves the baseline by 14.52%. [2026-02-05T00:32:39.667Z] Top recommended movies for user id 72: [2026-02-05T00:32:39.667Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:32:39.667Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:32:39.667Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:32:39.667Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:32:39.667Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:32:39.667Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (40149.813 ms) ====== [2026-02-05T00:32:39.667Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-05T00:32:39.667Z] GC before operation: completed in 289.729 ms, heap usage 213.361 MB -> 89.745 MB. [2026-02-05T00:32:45.345Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:32:51.014Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:32:56.751Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:33:01.260Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:33:04.715Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:33:08.173Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:33:12.170Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:33:15.642Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:33:15.642Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-05T00:33:15.642Z] The best model improves the baseline by 14.52%. [2026-02-05T00:33:16.448Z] Top recommended movies for user id 72: [2026-02-05T00:33:16.448Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:33:16.448Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:33:16.448Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:33:16.448Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:33:16.448Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:33:16.448Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (36317.814 ms) ====== [2026-02-05T00:33:16.448Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-05T00:33:16.448Z] GC before operation: completed in 337.497 ms, heap usage 443.162 MB -> 90.330 MB. [2026-02-05T00:33:22.118Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:33:26.632Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:33:32.272Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:33:37.921Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:33:40.436Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:33:44.930Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:33:47.418Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:33:50.887Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:33:51.668Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-05T00:33:51.669Z] The best model improves the baseline by 14.52%. [2026-02-05T00:33:51.669Z] Top recommended movies for user id 72: [2026-02-05T00:33:51.669Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:33:51.669Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:33:51.669Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:33:51.669Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:33:51.669Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:33:51.669Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (35462.922 ms) ====== [2026-02-05T00:33:51.669Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-05T00:33:52.530Z] GC before operation: completed in 267.291 ms, heap usage 412.377 MB -> 90.389 MB. [2026-02-05T00:33:58.184Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:34:03.234Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:34:10.148Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:34:15.809Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:34:19.278Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:34:22.751Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:34:26.205Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:34:29.659Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:34:30.442Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-05T00:34:30.442Z] The best model improves the baseline by 14.52%. [2026-02-05T00:34:30.442Z] Top recommended movies for user id 72: [2026-02-05T00:34:30.442Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:34:30.442Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:34:30.442Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:34:30.442Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:34:30.442Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:34:30.442Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (38526.352 ms) ====== [2026-02-05T00:34:30.442Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-05T00:34:31.254Z] GC before operation: completed in 279.306 ms, heap usage 155.296 MB -> 89.897 MB. [2026-02-05T00:34:36.938Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:34:42.586Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:34:49.497Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:34:54.430Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:34:57.880Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:35:01.336Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:35:03.848Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:35:07.328Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:35:08.121Z] 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. [2026-02-05T00:35:08.121Z] The best model improves the baseline by 14.52%. [2026-02-05T00:35:08.121Z] Top recommended movies for user id 72: [2026-02-05T00:35:08.121Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:35:08.121Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:35:08.121Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:35:08.121Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:35:08.121Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:35:08.121Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (37382.745 ms) ====== [2026-02-05T00:35:08.121Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-05T00:35:08.896Z] GC before operation: completed in 296.487 ms, heap usage 299.182 MB -> 90.279 MB. [2026-02-05T00:35:14.547Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:35:19.060Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:35:24.716Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:35:30.361Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:35:33.812Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:35:37.258Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:35:40.691Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:35:43.207Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:35:43.982Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-05T00:35:43.982Z] The best model improves the baseline by 14.52%. [2026-02-05T00:35:44.765Z] Top recommended movies for user id 72: [2026-02-05T00:35:44.766Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:35:44.766Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:35:44.766Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:35:44.766Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:35:44.766Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:35:44.766Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (35751.539 ms) ====== [2026-02-05T00:35:44.766Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-05T00:35:44.766Z] GC before operation: completed in 292.240 ms, heap usage 673.119 MB -> 93.923 MB. [2026-02-05T00:35:50.940Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:35:56.795Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:36:02.461Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:36:08.111Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:36:11.552Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:36:15.036Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:36:17.535Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:36:20.997Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:36:21.862Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-05T00:36:21.862Z] The best model improves the baseline by 14.52%. [2026-02-05T00:36:21.862Z] Top recommended movies for user id 72: [2026-02-05T00:36:21.862Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:36:21.862Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:36:21.862Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:36:21.862Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:36:21.862Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:36:21.862Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (37384.129 ms) ====== [2026-02-05T00:36:21.862Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-05T00:36:22.654Z] GC before operation: completed in 255.356 ms, heap usage 182.404 MB -> 90.059 MB. [2026-02-05T00:36:28.327Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:36:32.821Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:36:38.755Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:36:44.406Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:36:47.873Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:36:51.356Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:36:54.852Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:36:58.296Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:36:59.075Z] 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. [2026-02-05T00:36:59.075Z] The best model improves the baseline by 14.52%. [2026-02-05T00:36:59.866Z] Top recommended movies for user id 72: [2026-02-05T00:36:59.866Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:36:59.866Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:36:59.866Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:36:59.866Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:36:59.866Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:36:59.866Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (37157.821 ms) ====== [2026-02-05T00:36:59.866Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-05T00:36:59.866Z] GC before operation: completed in 293.304 ms, heap usage 215.683 MB -> 89.905 MB. [2026-02-05T00:37:05.545Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:37:11.189Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:37:16.810Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:37:21.320Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:37:24.774Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:37:28.727Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:37:32.179Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:37:35.657Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:37:35.657Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-05T00:37:36.433Z] The best model improves the baseline by 14.52%. [2026-02-05T00:37:36.433Z] Top recommended movies for user id 72: [2026-02-05T00:37:36.433Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:37:36.433Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:37:36.433Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:37:36.433Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:37:36.433Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:37:36.433Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (36691.981 ms) ====== [2026-02-05T00:37:36.433Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-05T00:37:36.433Z] GC before operation: completed in 322.343 ms, heap usage 434.544 MB -> 90.382 MB. [2026-02-05T00:37:43.383Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:37:49.009Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:37:54.724Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:38:00.389Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:38:03.880Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:38:07.393Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:38:10.868Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:38:14.595Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:38:14.595Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-05T00:38:14.595Z] The best model improves the baseline by 14.52%. [2026-02-05T00:38:15.392Z] Top recommended movies for user id 72: [2026-02-05T00:38:15.392Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:38:15.392Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:38:15.392Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:38:15.392Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:38:15.392Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:38:15.392Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (38251.727 ms) ====== [2026-02-05T00:38:16.179Z] ----------------------------------- [2026-02-05T00:38:16.179Z] renaissance-movie-lens_0_PASSED [2026-02-05T00:38:16.179Z] ----------------------------------- [2026-02-05T00:38:16.179Z] [2026-02-05T00:38:16.179Z] TEST TEARDOWN: [2026-02-05T00:38:16.179Z] Nothing to be done for teardown. [2026-02-05T00:38:16.179Z] renaissance-movie-lens_0 Finish Time: Thu Feb 5 00:38:15 2026 Epoch Time (ms): 1770251895578