[2026-04-06T21:44:44.626Z] Running test renaissance-movie-lens_0 ... [2026-04-06T21:44:44.626Z] =============================================== [2026-04-06T21:44:44.626Z] renaissance-movie-lens_0 Start Time: Mon Apr 6 21:44:43 2026 Epoch Time (ms): 1775511883344 [2026-04-06T21:44:44.626Z] variation: NoOptions [2026-04-06T21:44:44.626Z] JVM_OPTIONS: [2026-04-06T21:44:44.626Z] { \ [2026-04-06T21:44:44.626Z] echo ""; echo "TEST SETUP:"; \ [2026-04-06T21:44:44.626Z] echo "Nothing to be done for setup."; \ [2026-04-06T21:44:44.626Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17755101956141/renaissance-movie-lens_0"; \ [2026-04-06T21:44:44.626Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17755101956141/renaissance-movie-lens_0"; \ [2026-04-06T21:44:44.626Z] echo ""; echo "TESTING:"; \ [2026-04-06T21:44:44.626Z] "/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_17755101956141/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-06T21:44:44.626Z] 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_17755101956141/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-06T21:44:44.626Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-06T21:44:44.626Z] echo "Nothing to be done for teardown."; \ [2026-04-06T21:44:44.626Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17755101956141/TestTargetResult"; [2026-04-06T21:44:44.626Z] [2026-04-06T21:44:44.626Z] TEST SETUP: [2026-04-06T21:44:44.626Z] Nothing to be done for setup. [2026-04-06T21:44:44.626Z] [2026-04-06T21:44:44.626Z] TESTING: [2026-04-06T21:44:54.434Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-06T21:45:07.985Z] 21:45:06.055 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-04-06T21:45:09.959Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-06T21:45:11.934Z] Training: 60056, validation: 20285, test: 19854 [2026-04-06T21:45:11.934Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-06T21:45:11.934Z] GC before operation: completed in 305.341 ms, heap usage 187.465 MB -> 74.592 MB. [2026-04-06T21:45:25.551Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:45:32.359Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:45:39.097Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:45:45.832Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:45:49.615Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:45:52.650Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:45:56.868Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:45:59.899Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:45:59.899Z] 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. [2026-04-06T21:46:00.869Z] The best model improves the baseline by 14.52%. [2026-04-06T21:46:00.869Z] Top recommended movies for user id 72: [2026-04-06T21:46:00.869Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:46:00.869Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:46:00.869Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:46:00.869Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:46:00.869Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:46:00.869Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (48989.358 ms) ====== [2026-04-06T21:46:00.869Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-06T21:46:00.869Z] GC before operation: completed in 271.789 ms, heap usage 280.297 MB -> 85.651 MB. [2026-04-06T21:46:07.596Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:46:13.062Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:46:18.464Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:46:23.918Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:46:28.095Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:46:31.124Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:46:34.163Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:46:37.191Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:46:38.146Z] 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. [2026-04-06T21:46:38.146Z] The best model improves the baseline by 14.52%. [2026-04-06T21:46:39.112Z] Top recommended movies for user id 72: [2026-04-06T21:46:39.112Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:46:39.112Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:46:39.112Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:46:39.112Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:46:39.112Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:46:39.112Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (37589.130 ms) ====== [2026-04-06T21:46:39.112Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-06T21:46:39.112Z] GC before operation: completed in 311.372 ms, heap usage 238.750 MB -> 87.622 MB. [2026-04-06T21:46:45.428Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:46:49.607Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:46:56.344Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:47:00.907Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:47:03.950Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:47:06.984Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:47:10.037Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:47:13.085Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:47:14.068Z] 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. [2026-04-06T21:47:14.068Z] The best model improves the baseline by 14.52%. [2026-04-06T21:47:14.068Z] Top recommended movies for user id 72: [2026-04-06T21:47:14.068Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:47:14.068Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:47:14.068Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:47:14.068Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:47:14.068Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:47:14.068Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (35279.821 ms) ====== [2026-04-06T21:47:14.068Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-06T21:47:15.023Z] GC before operation: completed in 272.236 ms, heap usage 128.429 MB -> 88.127 MB. [2026-04-06T21:47:20.443Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:47:25.855Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:47:31.080Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:47:36.486Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:47:39.574Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:47:43.779Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:47:47.225Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:47:50.257Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:47:50.257Z] 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. [2026-04-06T21:47:50.257Z] The best model improves the baseline by 14.52%. [2026-04-06T21:47:50.257Z] Top recommended movies for user id 72: [2026-04-06T21:47:50.257Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:47:50.257Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:47:50.257Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:47:50.257Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:47:50.257Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:47:50.257Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (35905.673 ms) ====== [2026-04-06T21:47:50.257Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-06T21:47:51.268Z] GC before operation: completed in 261.673 ms, heap usage 238.411 MB -> 88.543 MB. [2026-04-06T21:47:55.495Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:48:00.916Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:48:06.384Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:48:11.853Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:48:13.817Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:48:16.848Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:48:19.966Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:48:23.010Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:48:23.971Z] 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. [2026-04-06T21:48:23.971Z] The best model improves the baseline by 14.52%. [2026-04-06T21:48:23.971Z] Top recommended movies for user id 72: [2026-04-06T21:48:23.971Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:48:23.971Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:48:23.971Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:48:23.971Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:48:23.971Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:48:23.971Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (32969.799 ms) ====== [2026-04-06T21:48:23.971Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-06T21:48:23.971Z] GC before operation: completed in 291.484 ms, heap usage 117.949 MB -> 88.348 MB. [2026-04-06T21:48:29.386Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:48:33.560Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:48:38.974Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:48:43.897Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:48:45.863Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:48:48.891Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:48:51.922Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:48:54.965Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:48:54.965Z] 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. [2026-04-06T21:48:54.965Z] The best model improves the baseline by 14.52%. [2026-04-06T21:48:55.917Z] Top recommended movies for user id 72: [2026-04-06T21:48:55.917Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:48:55.917Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:48:55.917Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:48:55.917Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:48:55.917Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:48:55.917Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (31449.574 ms) ====== [2026-04-06T21:48:55.917Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-06T21:48:55.917Z] GC before operation: completed in 282.505 ms, heap usage 179.441 MB -> 88.778 MB. [2026-04-06T21:49:00.093Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:49:05.497Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:49:09.670Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:49:13.842Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:49:16.876Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:49:19.906Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:49:22.937Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:49:24.976Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:49:25.931Z] 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. [2026-04-06T21:49:25.931Z] The best model improves the baseline by 14.52%. [2026-04-06T21:49:25.931Z] Top recommended movies for user id 72: [2026-04-06T21:49:25.931Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:49:25.931Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:49:25.931Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:49:25.931Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:49:25.931Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:49:25.931Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (30329.221 ms) ====== [2026-04-06T21:49:25.931Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-06T21:49:26.889Z] GC before operation: completed in 251.936 ms, heap usage 249.985 MB -> 88.795 MB. [2026-04-06T21:49:31.057Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:49:36.513Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:49:40.246Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:49:45.651Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:49:48.695Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:49:51.734Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:49:54.769Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:49:57.808Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:49:57.808Z] 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. [2026-04-06T21:49:58.765Z] The best model improves the baseline by 14.52%. [2026-04-06T21:49:58.765Z] Top recommended movies for user id 72: [2026-04-06T21:49:58.765Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:49:58.765Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:49:58.765Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:49:58.765Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:49:58.765Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:49:58.765Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (32255.377 ms) ====== [2026-04-06T21:49:58.765Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-06T21:49:58.765Z] GC before operation: completed in 236.503 ms, heap usage 165.598 MB -> 88.948 MB. [2026-04-06T21:50:04.186Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:50:08.357Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:50:13.794Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:50:17.977Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:50:21.006Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:50:24.066Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:50:27.112Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:50:30.160Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:50:30.160Z] 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. [2026-04-06T21:50:31.117Z] The best model improves the baseline by 14.52%. [2026-04-06T21:50:31.117Z] Top recommended movies for user id 72: [2026-04-06T21:50:31.117Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:50:31.117Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:50:31.117Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:50:31.117Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:50:31.117Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:50:31.117Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (32100.108 ms) ====== [2026-04-06T21:50:31.117Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-06T21:50:31.117Z] GC before operation: completed in 263.251 ms, heap usage 194.341 MB -> 88.823 MB. [2026-04-06T21:50:36.024Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:50:41.471Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:50:46.923Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:50:51.110Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:50:54.144Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:50:57.195Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:51:00.237Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:51:03.281Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:51:04.240Z] 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. [2026-04-06T21:51:04.240Z] The best model improves the baseline by 14.52%. [2026-04-06T21:51:04.240Z] Top recommended movies for user id 72: [2026-04-06T21:51:04.240Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:51:04.240Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:51:04.240Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:51:04.240Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:51:04.240Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:51:04.240Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (33107.432 ms) ====== [2026-04-06T21:51:04.240Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-06T21:51:04.240Z] GC before operation: completed in 242.314 ms, heap usage 283.949 MB -> 89.114 MB. [2026-04-06T21:51:09.646Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:51:13.852Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:51:19.256Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:51:23.437Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:51:26.470Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:51:29.510Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:51:31.963Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:51:35.017Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:51:35.017Z] 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. [2026-04-06T21:51:35.017Z] The best model improves the baseline by 14.52%. [2026-04-06T21:51:35.980Z] Top recommended movies for user id 72: [2026-04-06T21:51:35.980Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:51:35.980Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:51:35.980Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:51:35.980Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:51:35.980Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:51:35.980Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (31105.006 ms) ====== [2026-04-06T21:51:35.980Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-06T21:51:35.980Z] GC before operation: completed in 259.997 ms, heap usage 165.277 MB -> 88.723 MB. [2026-04-06T21:51:40.171Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:51:45.748Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:51:51.153Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:51:55.346Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:51:58.377Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:52:01.427Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:52:05.598Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:52:07.573Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:52:08.530Z] 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. [2026-04-06T21:52:08.530Z] The best model improves the baseline by 14.52%. [2026-04-06T21:52:08.530Z] Top recommended movies for user id 72: [2026-04-06T21:52:08.530Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:52:08.530Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:52:08.530Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:52:08.530Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:52:08.530Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:52:08.530Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (32875.678 ms) ====== [2026-04-06T21:52:08.530Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-06T21:52:09.483Z] GC before operation: completed in 242.850 ms, heap usage 372.344 MB -> 89.209 MB. [2026-04-06T21:52:13.656Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:52:19.064Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:52:24.468Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:52:29.076Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:52:32.113Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:52:35.140Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:52:38.174Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:52:41.359Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:52:41.359Z] 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. [2026-04-06T21:52:41.359Z] The best model improves the baseline by 14.52%. [2026-04-06T21:52:42.317Z] Top recommended movies for user id 72: [2026-04-06T21:52:42.317Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:52:42.317Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:52:42.317Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:52:42.317Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:52:42.317Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:52:42.317Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (32771.153 ms) ====== [2026-04-06T21:52:42.317Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-06T21:52:42.317Z] GC before operation: completed in 270.514 ms, heap usage 228.622 MB -> 89.084 MB. [2026-04-06T21:52:47.743Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:52:51.911Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:52:57.317Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:53:01.516Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:53:04.557Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:53:07.601Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:53:10.639Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:53:12.610Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:53:13.572Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-06T21:53:13.572Z] The best model improves the baseline by 14.52%. [2026-04-06T21:53:13.572Z] Top recommended movies for user id 72: [2026-04-06T21:53:13.572Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:53:13.572Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:53:13.572Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:53:13.572Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:53:13.572Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:53:13.572Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (31739.513 ms) ====== [2026-04-06T21:53:13.572Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-06T21:53:14.526Z] GC before operation: completed in 241.397 ms, heap usage 368.574 MB -> 89.115 MB. [2026-04-06T21:53:18.957Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:53:23.163Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:53:28.072Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:53:33.474Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:53:35.442Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:53:38.489Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:53:41.532Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:53:44.576Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:53:45.532Z] 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. [2026-04-06T21:53:45.532Z] The best model improves the baseline by 14.52%. [2026-04-06T21:53:45.532Z] Top recommended movies for user id 72: [2026-04-06T21:53:45.532Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:53:45.532Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:53:45.532Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:53:45.532Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:53:45.532Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:53:45.532Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (31293.920 ms) ====== [2026-04-06T21:53:45.532Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-06T21:53:45.532Z] GC before operation: completed in 244.330 ms, heap usage 198.549 MB -> 89.110 MB. [2026-04-06T21:53:49.705Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:53:55.098Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:53:59.297Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:54:04.722Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:54:06.689Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:54:09.764Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:54:12.798Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:54:14.763Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:54:15.723Z] 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. [2026-04-06T21:54:15.723Z] The best model improves the baseline by 14.52%. [2026-04-06T21:54:15.723Z] Top recommended movies for user id 72: [2026-04-06T21:54:15.723Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:54:15.723Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:54:15.723Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:54:15.723Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:54:15.723Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:54:15.723Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (29969.649 ms) ====== [2026-04-06T21:54:15.723Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-06T21:54:15.723Z] GC before operation: completed in 248.698 ms, heap usage 179.001 MB -> 88.955 MB. [2026-04-06T21:54:21.496Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:54:25.686Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:54:29.859Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:54:35.274Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:54:37.242Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:54:40.394Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:54:42.373Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:54:47.334Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:54:47.334Z] 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. [2026-04-06T21:54:47.334Z] The best model improves the baseline by 14.52%. [2026-04-06T21:54:47.334Z] Top recommended movies for user id 72: [2026-04-06T21:54:47.334Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:54:47.334Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:54:47.334Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:54:47.334Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:54:47.334Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:54:47.334Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (30134.297 ms) ====== [2026-04-06T21:54:47.334Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-06T21:54:47.334Z] GC before operation: completed in 253.629 ms, heap usage 356.714 MB -> 89.203 MB. [2026-04-06T21:54:51.253Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:54:57.963Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:54:59.938Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:55:12.230Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:55:12.230Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:55:12.230Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:55:23.224Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:55:23.224Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:55:23.224Z] 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. [2026-04-06T21:55:23.224Z] The best model improves the baseline by 14.52%. [2026-04-06T21:55:23.224Z] Top recommended movies for user id 72: [2026-04-06T21:55:23.224Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:55:23.224Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:55:23.224Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:55:23.224Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:55:23.224Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:55:23.224Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (30114.815 ms) ====== [2026-04-06T21:55:23.224Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-06T21:55:23.224Z] GC before operation: completed in 241.230 ms, heap usage 201.284 MB -> 88.886 MB. [2026-04-06T21:55:23.224Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:55:38.902Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:55:38.902Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:55:54.845Z] test-osuosl-ubuntu2404-aarch64-1 seems to be removed or offline (java.lang.InterruptedException); will wait for 5 min 0 sec for it to come back online [2026-04-06T21:55:57.003Z] test-osuosl-ubuntu2404-aarch64-1 is back online [2026-04-06T21:55:58.562Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:55:58.562Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:55:58.562Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:55:58.562Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:55:58.562Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:55:58.563Z] 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. [2026-04-06T21:55:58.563Z] The best model improves the baseline by 14.52%. [2026-04-06T21:55:58.563Z] Top recommended movies for user id 72: [2026-04-06T21:55:58.563Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:55:58.563Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:55:58.563Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:55:58.563Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:55:58.563Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:55:58.563Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (31292.433 ms) ====== [2026-04-06T21:55:58.563Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-06T21:55:58.563Z] GC before operation: completed in 243.785 ms, heap usage 166.180 MB -> 88.998 MB. [2026-04-06T21:55:58.563Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T21:55:58.563Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T21:56:02.249Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T21:56:06.917Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T21:56:09.283Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T21:56:11.250Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T21:56:15.090Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T21:56:17.065Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T21:56:18.025Z] 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. [2026-04-06T21:56:18.025Z] The best model improves the baseline by 14.52%. [2026-04-06T21:56:18.025Z] Top recommended movies for user id 72: [2026-04-06T21:56:18.025Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T21:56:18.025Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T21:56:18.025Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T21:56:18.025Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T21:56:18.025Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T21:56:18.025Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (30055.436 ms) ====== [2026-04-06T21:56:19.997Z] ----------------------------------- [2026-04-06T21:56:19.997Z] renaissance-movie-lens_0_PASSED [2026-04-06T21:56:19.997Z] ----------------------------------- [2026-04-06T21:56:19.997Z] [2026-04-06T21:56:19.997Z] TEST TEARDOWN: [2026-04-06T21:56:19.997Z] Nothing to be done for teardown. [2026-04-06T21:56:19.997Z] renaissance-movie-lens_0 Finish Time: Mon Apr 6 21:56:19 2026 Epoch Time (ms): 1775512579187