[2026-02-12T19:03:58.903Z] Running test renaissance-movie-lens_0 ... [2026-02-12T19:03:58.903Z] =============================================== [2026-02-12T19:03:58.903Z] renaissance-movie-lens_0 Start Time: Thu Feb 12 19:03:58 2026 Epoch Time (ms): 1770923038342 [2026-02-12T19:03:58.903Z] variation: NoOptions [2026-02-12T19:03:58.903Z] JVM_OPTIONS: [2026-02-12T19:03:58.903Z] { \ [2026-02-12T19:03:58.903Z] echo ""; echo "TEST SETUP:"; \ [2026-02-12T19:03:58.903Z] echo "Nothing to be done for setup."; \ [2026-02-12T19:03:58.903Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17709205203075/renaissance-movie-lens_0"; \ [2026-02-12T19:03:58.903Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17709205203075/renaissance-movie-lens_0"; \ [2026-02-12T19:03:58.903Z] echo ""; echo "TESTING:"; \ [2026-02-12T19:03:58.903Z] "/home/jenkins/workspace/Test_openjdk11_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_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17709205203075/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-12T19:03:58.903Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17709205203075/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-12T19:03:58.903Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-12T19:03:58.903Z] echo "Nothing to be done for teardown."; \ [2026-02-12T19:03:58.903Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17709205203075/TestTargetResult"; [2026-02-12T19:03:58.903Z] [2026-02-12T19:03:58.903Z] TEST SETUP: [2026-02-12T19:03:58.903Z] Nothing to be done for setup. [2026-02-12T19:03:58.903Z] [2026-02-12T19:03:58.903Z] TESTING: [2026-02-12T19:04:15.686Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-12T19:04:44.487Z] 19:04:40.892 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. [2026-02-12T19:04:50.052Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-12T19:04:52.073Z] Training: 60056, validation: 20285, test: 19854 [2026-02-12T19:04:52.073Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-12T19:04:52.073Z] GC before operation: completed in 420.097 ms, heap usage 106.008 MB -> 74.612 MB. [2026-02-12T19:05:21.072Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T19:05:32.773Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T19:05:48.815Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T19:05:59.520Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T19:06:06.353Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T19:06:11.908Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T19:06:18.811Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T19:06:25.645Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T19:06:25.645Z] 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. [2026-02-12T19:06:26.624Z] The best model improves the baseline by 14.52%. [2026-02-12T19:06:26.624Z] Top recommended movies for user id 72: [2026-02-12T19:06:26.624Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T19:06:26.624Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T19:06:26.624Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T19:06:26.624Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T19:06:26.624Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T19:06:26.624Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (94585.952 ms) ====== [2026-02-12T19:06:26.624Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-12T19:06:27.600Z] GC before operation: completed in 609.696 ms, heap usage 119.864 MB -> 88.949 MB. [2026-02-12T19:06:39.424Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T19:06:47.773Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T19:06:57.710Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T19:07:07.840Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T19:07:11.839Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T19:07:17.328Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T19:07:22.823Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T19:07:27.080Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T19:07:28.060Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T19:07:28.060Z] The best model improves the baseline by 14.52%. [2026-02-12T19:07:29.041Z] Top recommended movies for user id 72: [2026-02-12T19:07:29.041Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T19:07:29.041Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T19:07:29.041Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T19:07:29.041Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T19:07:29.041Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T19:07:29.042Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (61052.509 ms) ====== [2026-02-12T19:07:29.042Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-12T19:07:29.042Z] GC before operation: completed in 461.548 ms, heap usage 178.653 MB -> 87.565 MB. [2026-02-12T19:07:37.362Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T19:07:44.178Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T19:07:52.482Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T19:07:59.336Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T19:08:03.574Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T19:08:07.846Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T19:08:12.302Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T19:08:16.573Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T19:08:17.550Z] 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. [2026-02-12T19:08:17.550Z] The best model improves the baseline by 14.52%. [2026-02-12T19:08:17.550Z] Top recommended movies for user id 72: [2026-02-12T19:08:17.550Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T19:08:17.550Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T19:08:17.550Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T19:08:17.550Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T19:08:17.550Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T19:08:17.550Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (48770.299 ms) ====== [2026-02-12T19:08:17.550Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-12T19:08:18.532Z] GC before operation: completed in 413.439 ms, heap usage 163.867 MB -> 88.198 MB. [2026-02-12T19:08:25.381Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T19:08:33.722Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T19:08:40.237Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T19:08:47.060Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T19:08:51.283Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T19:08:56.777Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T19:09:01.015Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T19:09:05.255Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T19:09:05.255Z] 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. [2026-02-12T19:09:05.255Z] The best model improves the baseline by 14.52%. [2026-02-12T19:09:06.230Z] Top recommended movies for user id 72: [2026-02-12T19:09:06.230Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T19:09:06.230Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T19:09:06.230Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T19:09:06.230Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T19:09:06.230Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T19:09:06.230Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (47689.571 ms) ====== [2026-02-12T19:09:06.231Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-12T19:09:06.231Z] GC before operation: completed in 423.635 ms, heap usage 171.147 MB -> 88.498 MB. [2026-02-12T19:09:14.731Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T19:09:20.230Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T19:09:28.524Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T19:09:35.353Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T19:09:39.590Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T19:09:43.843Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T19:09:48.067Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T19:09:52.307Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T19:09:53.277Z] 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. [2026-02-12T19:09:53.277Z] The best model improves the baseline by 14.52%. [2026-02-12T19:09:53.277Z] Top recommended movies for user id 72: [2026-02-12T19:09:53.277Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T19:09:53.277Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T19:09:53.277Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T19:09:53.277Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T19:09:53.277Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T19:09:53.277Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (46887.434 ms) ====== [2026-02-12T19:09:53.277Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-12T19:09:53.277Z] GC before operation: completed in 366.037 ms, heap usage 356.640 MB -> 88.571 MB. [2026-02-12T19:10:00.874Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T19:10:07.693Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T19:10:14.525Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T19:10:21.435Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T19:10:25.685Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T19:10:29.925Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T19:10:34.152Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T19:10:38.458Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T19:10:38.458Z] 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. [2026-02-12T19:10:39.433Z] The best model improves the baseline by 14.52%. [2026-02-12T19:10:39.433Z] Top recommended movies for user id 72: [2026-02-12T19:10:39.433Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T19:10:39.433Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T19:10:39.433Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T19:10:39.433Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T19:10:39.433Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T19:10:39.433Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (45814.425 ms) ====== [2026-02-12T19:10:39.433Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-12T19:10:40.402Z] GC before operation: completed in 432.739 ms, heap usage 197.098 MB -> 88.789 MB. [2026-02-12T19:10:47.249Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T19:10:54.098Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T19:11:01.005Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T19:11:07.819Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T19:11:12.062Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T19:11:15.855Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T19:11:20.111Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T19:11:24.344Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T19:11:24.344Z] 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. [2026-02-12T19:11:25.323Z] The best model improves the baseline by 14.52%. [2026-02-12T19:11:25.323Z] Top recommended movies for user id 72: [2026-02-12T19:11:25.323Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T19:11:25.323Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T19:11:25.323Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T19:11:25.323Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T19:11:25.323Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T19:11:25.323Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (45392.065 ms) ====== [2026-02-12T19:11:25.323Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-12T19:11:25.323Z] GC before operation: completed in 348.052 ms, heap usage 250.964 MB -> 88.762 MB. [2026-02-12T19:11:32.139Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T19:11:39.297Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T19:11:46.226Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T19:11:53.057Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T19:11:56.134Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T19:12:00.640Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T19:12:04.887Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T19:12:09.521Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T19:12:09.521Z] 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. [2026-02-12T19:12:09.521Z] The best model improves the baseline by 14.52%. [2026-02-12T19:12:09.521Z] Top recommended movies for user id 72: [2026-02-12T19:12:09.521Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T19:12:09.521Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T19:12:09.521Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T19:12:09.521Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T19:12:09.521Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T19:12:09.521Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (43982.495 ms) ====== [2026-02-12T19:12:09.521Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-12T19:12:10.489Z] GC before operation: completed in 613.982 ms, heap usage 325.341 MB -> 89.090 MB. [2026-02-12T19:12:17.350Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T19:12:24.177Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T19:12:31.056Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T19:12:37.021Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T19:12:40.281Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T19:12:44.518Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T19:12:48.762Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T19:12:52.988Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T19:12:52.988Z] 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. [2026-02-12T19:12:52.988Z] The best model improves the baseline by 14.52%. [2026-02-12T19:12:53.955Z] Top recommended movies for user id 72: [2026-02-12T19:12:53.955Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T19:12:53.955Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T19:12:53.955Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T19:12:53.955Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T19:12:53.955Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T19:12:53.955Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (43463.477 ms) ====== [2026-02-12T19:12:53.955Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-12T19:12:53.955Z] GC before operation: completed in 361.620 ms, heap usage 322.371 MB -> 88.937 MB. [2026-02-12T19:13:00.916Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T19:13:07.902Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T19:13:14.929Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T19:13:21.944Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T19:13:25.231Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T19:13:29.586Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T19:13:33.830Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T19:13:38.282Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T19:13:39.264Z] 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. [2026-02-12T19:13:39.264Z] The best model improves the baseline by 14.52%. [2026-02-12T19:13:39.264Z] Top recommended movies for user id 72: [2026-02-12T19:13:39.264Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T19:13:39.264Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T19:13:39.264Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T19:13:39.264Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T19:13:39.264Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T19:13:39.264Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (45377.269 ms) ====== [2026-02-12T19:13:39.264Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-12T19:13:40.236Z] GC before operation: completed in 347.960 ms, heap usage 166.210 MB -> 88.994 MB. [2026-02-12T19:13:47.274Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T19:13:54.833Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T19:14:01.819Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T19:14:08.848Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T19:14:13.202Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T19:14:17.420Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T19:14:21.906Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T19:14:27.452Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T19:14:28.469Z] 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. [2026-02-12T19:14:28.469Z] The best model improves the baseline by 14.52%. [2026-02-12T19:14:29.457Z] Top recommended movies for user id 72: [2026-02-12T19:14:29.457Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T19:14:29.457Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T19:14:29.457Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T19:14:29.457Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T19:14:29.457Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T19:14:29.457Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (49200.060 ms) ====== [2026-02-12T19:14:29.457Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-12T19:14:29.457Z] GC before operation: completed in 623.438 ms, heap usage 173.014 MB -> 88.716 MB. [2026-02-12T19:14:39.532Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T19:14:47.936Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T19:14:54.841Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T19:15:03.178Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T19:15:10.581Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T19:15:16.095Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T19:15:21.785Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T19:15:27.445Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T19:15:27.445Z] 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. [2026-02-12T19:15:28.489Z] The best model improves the baseline by 14.52%. [2026-02-12T19:15:28.489Z] Top recommended movies for user id 72: [2026-02-12T19:15:28.489Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T19:15:28.489Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T19:15:28.489Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T19:15:28.489Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T19:15:28.489Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T19:15:28.489Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (58960.006 ms) ====== [2026-02-12T19:15:28.489Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-12T19:15:29.457Z] GC before operation: completed in 740.175 ms, heap usage 257.808 MB -> 89.047 MB. [2026-02-12T19:15:39.431Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T19:15:49.717Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T19:15:58.057Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T19:16:06.445Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T19:16:12.156Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T19:16:19.249Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T19:16:26.258Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T19:16:31.808Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T19:16:31.808Z] 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. [2026-02-12T19:16:31.808Z] The best model improves the baseline by 14.52%. [2026-02-12T19:16:32.808Z] Top recommended movies for user id 72: [2026-02-12T19:16:32.808Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T19:16:32.808Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T19:16:32.808Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T19:16:32.808Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T19:16:32.809Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T19:16:32.809Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (63359.581 ms) ====== [2026-02-12T19:16:32.809Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-12T19:16:33.862Z] GC before operation: completed in 571.547 ms, heap usage 193.947 MB -> 89.033 MB. [2026-02-12T19:16:44.630Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T19:16:54.624Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T19:17:03.012Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T19:17:10.030Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T19:17:15.528Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T19:17:19.798Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T19:17:25.296Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T19:17:30.855Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T19:17:31.833Z] 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. [2026-02-12T19:17:31.833Z] The best model improves the baseline by 14.52%. [2026-02-12T19:17:31.833Z] Top recommended movies for user id 72: [2026-02-12T19:17:31.833Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T19:17:31.833Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T19:17:31.833Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T19:17:31.833Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T19:17:31.833Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T19:17:31.833Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (58721.289 ms) ====== [2026-02-12T19:17:31.833Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-12T19:17:32.810Z] GC before operation: completed in 515.113 ms, heap usage 278.188 MB -> 88.965 MB. [2026-02-12T19:17:42.796Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T19:17:49.658Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T19:17:56.759Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T19:18:03.673Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T19:18:09.265Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T19:18:16.103Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T19:18:20.352Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T19:18:25.871Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T19:18:26.838Z] 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. [2026-02-12T19:18:26.838Z] The best model improves the baseline by 14.52%. [2026-02-12T19:18:27.809Z] Top recommended movies for user id 72: [2026-02-12T19:18:27.809Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T19:18:27.809Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T19:18:27.809Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T19:18:27.809Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T19:18:27.809Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T19:18:27.809Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (54941.513 ms) ====== [2026-02-12T19:18:27.809Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-12T19:18:27.810Z] GC before operation: completed in 544.510 ms, heap usage 337.864 MB -> 89.259 MB. [2026-02-12T19:18:37.731Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T19:18:46.062Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T19:18:54.382Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T19:19:04.330Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T19:19:08.602Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T19:19:13.567Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T19:19:19.095Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T19:19:24.601Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T19:19:25.582Z] 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. [2026-02-12T19:19:25.582Z] The best model improves the baseline by 14.52%. [2026-02-12T19:19:25.582Z] Top recommended movies for user id 72: [2026-02-12T19:19:25.582Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T19:19:25.582Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T19:19:25.582Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T19:19:25.582Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T19:19:25.582Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T19:19:25.582Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (57776.070 ms) ====== [2026-02-12T19:19:25.582Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-12T19:19:26.558Z] GC before operation: completed in 470.856 ms, heap usage 226.849 MB -> 88.957 MB. [2026-02-12T19:19:36.459Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T19:19:44.780Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T19:19:54.784Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T19:20:03.095Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T19:20:07.330Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T19:20:12.870Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T19:20:19.714Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T19:20:23.952Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T19:20:24.925Z] 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. [2026-02-12T19:20:24.925Z] The best model improves the baseline by 14.52%. [2026-02-12T19:20:25.907Z] Top recommended movies for user id 72: [2026-02-12T19:20:25.907Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T19:20:25.907Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T19:20:25.907Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T19:20:25.907Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T19:20:25.907Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T19:20:25.907Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (59216.238 ms) ====== [2026-02-12T19:20:25.907Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-12T19:20:25.907Z] GC before operation: completed in 571.600 ms, heap usage 108.685 MB -> 89.058 MB. [2026-02-12T19:20:35.860Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T19:20:43.482Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T19:20:51.771Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T19:21:00.092Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T19:21:05.567Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T19:21:11.081Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T19:21:16.609Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T19:21:22.112Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T19:21:22.112Z] 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. [2026-02-12T19:21:22.112Z] The best model improves the baseline by 14.52%. [2026-02-12T19:21:23.083Z] Top recommended movies for user id 72: [2026-02-12T19:21:23.083Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T19:21:23.083Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T19:21:23.083Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T19:21:23.083Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T19:21:23.083Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T19:21:23.083Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (56570.832 ms) ====== [2026-02-12T19:21:23.083Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-12T19:21:23.084Z] GC before operation: completed in 475.002 ms, heap usage 112.465 MB -> 89.039 MB. [2026-02-12T19:21:31.458Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T19:21:39.884Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T19:21:46.728Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T19:21:54.026Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T19:21:59.059Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T19:22:02.439Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T19:22:06.850Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T19:22:11.292Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T19:22:12.266Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T19:22:12.266Z] The best model improves the baseline by 14.52%. [2026-02-12T19:22:12.266Z] Top recommended movies for user id 72: [2026-02-12T19:22:12.266Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T19:22:12.266Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T19:22:12.266Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T19:22:12.266Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T19:22:12.266Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T19:22:12.266Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (49166.609 ms) ====== [2026-02-12T19:22:12.266Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-12T19:22:12.266Z] GC before operation: completed in 437.435 ms, heap usage 132.648 MB -> 88.870 MB. [2026-02-12T19:22:20.597Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T19:22:27.438Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T19:22:34.290Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T19:22:41.282Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T19:22:44.364Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T19:22:49.880Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T19:22:54.131Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T19:22:58.368Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T19:22:58.368Z] 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. [2026-02-12T19:22:58.368Z] The best model improves the baseline by 14.52%. [2026-02-12T19:22:58.368Z] Top recommended movies for user id 72: [2026-02-12T19:22:58.368Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T19:22:58.368Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T19:22:58.368Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T19:22:58.368Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T19:22:58.368Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T19:22:58.368Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (46007.036 ms) ====== [2026-02-12T19:23:01.436Z] ----------------------------------- [2026-02-12T19:23:01.436Z] renaissance-movie-lens_0_PASSED [2026-02-12T19:23:01.436Z] ----------------------------------- [2026-02-12T19:23:01.436Z] [2026-02-12T19:23:01.436Z] TEST TEARDOWN: [2026-02-12T19:23:01.436Z] Nothing to be done for teardown. [2026-02-12T19:23:01.436Z] renaissance-movie-lens_0 Finish Time: Thu Feb 12 19:23:00 2026 Epoch Time (ms): 1770924180532