[2026-01-14T06:39:42.782Z] Running test renaissance-movie-lens_0 ... [2026-01-14T06:39:42.782Z] =============================================== [2026-01-14T06:39:42.782Z] renaissance-movie-lens_0 Start Time: Wed Jan 14 06:39:42 2026 Epoch Time (ms): 1768372782442 [2026-01-14T06:39:42.782Z] variation: NoOptions [2026-01-14T06:39:42.782Z] JVM_OPTIONS: [2026-01-14T06:39:42.782Z] { \ [2026-01-14T06:39:42.782Z] echo ""; echo "TEST SETUP:"; \ [2026-01-14T06:39:42.782Z] echo "Nothing to be done for setup."; \ [2026-01-14T06:39:42.782Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17683713499554/renaissance-movie-lens_0"; \ [2026-01-14T06:39:42.782Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17683713499554/renaissance-movie-lens_0"; \ [2026-01-14T06:39:42.782Z] echo ""; echo "TESTING:"; \ [2026-01-14T06:39:42.782Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_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_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17683713499554/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-14T06:39:42.782Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17683713499554/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-14T06:39:42.782Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-14T06:39:42.782Z] echo "Nothing to be done for teardown."; \ [2026-01-14T06:39:42.782Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17683713499554/TestTargetResult"; [2026-01-14T06:39:42.782Z] [2026-01-14T06:39:42.782Z] TEST SETUP: [2026-01-14T06:39:42.782Z] Nothing to be done for setup. [2026-01-14T06:39:42.782Z] [2026-01-14T06:39:42.782Z] TESTING: [2026-01-14T06:39:48.200Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-14T06:39:54.932Z] 06:39:53.714 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-14T06:39:55.890Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-14T06:39:56.847Z] Training: 60056, validation: 20285, test: 19854 [2026-01-14T06:39:56.847Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-14T06:39:56.847Z] GC before operation: completed in 112.794 ms, heap usage 314.185 MB -> 75.971 MB. [2026-01-14T06:40:01.461Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T06:40:04.507Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T06:40:07.547Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T06:40:09.516Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T06:40:11.489Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T06:40:13.460Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T06:40:14.420Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T06:40:16.395Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T06:40:16.395Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T06:40:16.395Z] The best model improves the baseline by 14.52%. [2026-01-14T06:40:16.395Z] Top recommended movies for user id 72: [2026-01-14T06:40:16.395Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T06:40:16.395Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T06:40:16.395Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T06:40:16.395Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T06:40:16.395Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T06:40:16.395Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (20009.654 ms) ====== [2026-01-14T06:40:16.395Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-14T06:40:17.358Z] GC before operation: completed in 127.586 ms, heap usage 361.127 MB -> 88.742 MB. [2026-01-14T06:40:20.393Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T06:40:22.378Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T06:40:25.412Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T06:40:27.380Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T06:40:29.351Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T06:40:30.310Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T06:40:32.277Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T06:40:33.235Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T06:40:34.193Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T06:40:34.193Z] The best model improves the baseline by 14.52%. [2026-01-14T06:40:34.193Z] Top recommended movies for user id 72: [2026-01-14T06:40:34.193Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T06:40:34.193Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T06:40:34.193Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T06:40:34.193Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T06:40:34.193Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T06:40:34.193Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17172.812 ms) ====== [2026-01-14T06:40:34.193Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-14T06:40:34.193Z] GC before operation: completed in 123.938 ms, heap usage 443.540 MB -> 89.095 MB. [2026-01-14T06:40:36.161Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T06:40:39.197Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T06:40:41.164Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T06:40:43.132Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T06:40:45.096Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T06:40:46.055Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T06:40:48.021Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T06:40:48.980Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T06:40:49.943Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T06:40:49.943Z] The best model improves the baseline by 14.52%. [2026-01-14T06:40:49.943Z] Top recommended movies for user id 72: [2026-01-14T06:40:49.943Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T06:40:49.943Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T06:40:49.943Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T06:40:49.943Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T06:40:49.943Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T06:40:49.943Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15489.648 ms) ====== [2026-01-14T06:40:49.943Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-14T06:40:49.943Z] GC before operation: completed in 121.812 ms, heap usage 392.211 MB -> 89.744 MB. [2026-01-14T06:40:51.907Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T06:40:54.051Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T06:40:56.431Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T06:40:58.429Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T06:41:00.396Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T06:41:01.355Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T06:41:03.322Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T06:41:04.280Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T06:41:05.240Z] 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. [2026-01-14T06:41:05.240Z] The best model improves the baseline by 14.52%. [2026-01-14T06:41:05.240Z] Top recommended movies for user id 72: [2026-01-14T06:41:05.240Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T06:41:05.240Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T06:41:05.240Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T06:41:05.240Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T06:41:05.240Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T06:41:05.240Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15215.243 ms) ====== [2026-01-14T06:41:05.240Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-14T06:41:05.240Z] GC before operation: completed in 125.998 ms, heap usage 530.634 MB -> 93.494 MB. [2026-01-14T06:41:07.209Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T06:41:10.246Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T06:41:13.285Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T06:41:15.256Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T06:41:16.214Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T06:41:18.181Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T06:41:19.139Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T06:41:21.106Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T06:41:21.106Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T06:41:21.106Z] The best model improves the baseline by 14.52%. [2026-01-14T06:41:21.106Z] Top recommended movies for user id 72: [2026-01-14T06:41:21.106Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T06:41:21.106Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T06:41:21.106Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T06:41:21.106Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T06:41:21.106Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T06:41:21.106Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16022.948 ms) ====== [2026-01-14T06:41:21.106Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-14T06:41:21.106Z] GC before operation: completed in 134.771 ms, heap usage 493.624 MB -> 92.490 MB. [2026-01-14T06:41:24.147Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T06:41:26.113Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T06:41:28.076Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T06:41:30.042Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T06:41:31.008Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T06:41:32.972Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T06:41:33.928Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T06:41:35.896Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T06:41:35.896Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T06:41:35.896Z] The best model improves the baseline by 14.52%. [2026-01-14T06:41:35.896Z] Top recommended movies for user id 72: [2026-01-14T06:41:35.896Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T06:41:35.896Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T06:41:35.896Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T06:41:35.896Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T06:41:35.896Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T06:41:35.896Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (14803.607 ms) ====== [2026-01-14T06:41:35.896Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-14T06:41:35.896Z] GC before operation: completed in 135.241 ms, heap usage 377.689 MB -> 92.584 MB. [2026-01-14T06:41:38.927Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T06:41:40.895Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T06:41:43.933Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T06:41:45.983Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T06:41:47.961Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T06:41:48.920Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T06:41:50.896Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T06:41:51.854Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T06:41:52.812Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T06:41:52.812Z] The best model improves the baseline by 14.52%. [2026-01-14T06:41:52.812Z] Top recommended movies for user id 72: [2026-01-14T06:41:52.812Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T06:41:52.812Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T06:41:52.812Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T06:41:52.812Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T06:41:52.812Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T06:41:52.812Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16301.793 ms) ====== [2026-01-14T06:41:52.812Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-14T06:41:52.812Z] GC before operation: completed in 117.880 ms, heap usage 820.650 MB -> 94.374 MB. [2026-01-14T06:41:55.199Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T06:41:57.188Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T06:41:59.152Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T06:42:02.199Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T06:42:03.158Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T06:42:05.128Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T06:42:06.088Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T06:42:07.047Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T06:42:08.005Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T06:42:08.005Z] The best model improves the baseline by 14.52%. [2026-01-14T06:42:08.005Z] Top recommended movies for user id 72: [2026-01-14T06:42:08.005Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T06:42:08.005Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T06:42:08.005Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T06:42:08.005Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T06:42:08.005Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T06:42:08.005Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15145.757 ms) ====== [2026-01-14T06:42:08.005Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-14T06:42:08.005Z] GC before operation: completed in 124.134 ms, heap usage 196.583 MB -> 95.940 MB. [2026-01-14T06:42:09.970Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T06:42:13.007Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T06:42:14.973Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T06:42:16.939Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T06:42:17.895Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T06:42:18.854Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T06:42:20.821Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T06:42:21.778Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T06:42:21.778Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T06:42:21.778Z] The best model improves the baseline by 14.52%. [2026-01-14T06:42:21.778Z] Top recommended movies for user id 72: [2026-01-14T06:42:21.778Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T06:42:21.778Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T06:42:21.778Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T06:42:21.778Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T06:42:21.778Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T06:42:21.778Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14216.094 ms) ====== [2026-01-14T06:42:21.778Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-14T06:42:22.737Z] GC before operation: completed in 128.207 ms, heap usage 538.971 MB -> 93.050 MB. [2026-01-14T06:42:24.702Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T06:42:26.668Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T06:42:28.646Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T06:42:30.613Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T06:42:31.571Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T06:42:32.530Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T06:42:34.497Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T06:42:35.455Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T06:42:35.455Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T06:42:35.455Z] The best model improves the baseline by 14.52%. [2026-01-14T06:42:35.455Z] Top recommended movies for user id 72: [2026-01-14T06:42:35.455Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T06:42:35.455Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T06:42:35.455Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T06:42:35.455Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T06:42:35.455Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T06:42:35.455Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (13615.017 ms) ====== [2026-01-14T06:42:35.455Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-14T06:42:36.413Z] GC before operation: completed in 118.119 ms, heap usage 129.337 MB -> 90.238 MB. [2026-01-14T06:42:38.380Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T06:42:40.346Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T06:42:42.310Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T06:42:44.271Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T06:42:46.242Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T06:42:47.202Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T06:42:49.173Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T06:42:50.130Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T06:42:50.130Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T06:42:50.130Z] The best model improves the baseline by 14.52%. [2026-01-14T06:42:50.130Z] Top recommended movies for user id 72: [2026-01-14T06:42:50.130Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T06:42:50.130Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T06:42:50.130Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T06:42:50.130Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T06:42:50.130Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T06:42:50.130Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14419.534 ms) ====== [2026-01-14T06:42:50.130Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-14T06:42:50.130Z] GC before operation: completed in 143.198 ms, heap usage 576.379 MB -> 93.810 MB. [2026-01-14T06:42:52.509Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T06:42:55.555Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T06:42:57.520Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T06:42:59.488Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T06:43:00.446Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T06:43:01.403Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T06:43:03.373Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T06:43:04.334Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T06:43:05.291Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T06:43:05.291Z] The best model improves the baseline by 14.52%. [2026-01-14T06:43:05.291Z] Top recommended movies for user id 72: [2026-01-14T06:43:05.291Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T06:43:05.291Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T06:43:05.291Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T06:43:05.291Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T06:43:05.291Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T06:43:05.291Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14453.342 ms) ====== [2026-01-14T06:43:05.291Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-14T06:43:05.291Z] GC before operation: completed in 122.764 ms, heap usage 553.910 MB -> 99.724 MB. [2026-01-14T06:43:07.258Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T06:43:09.226Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T06:43:12.262Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T06:43:14.229Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T06:43:15.186Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T06:43:17.153Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T06:43:18.112Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T06:43:19.070Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T06:43:20.028Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T06:43:20.028Z] The best model improves the baseline by 14.52%. [2026-01-14T06:43:20.028Z] Top recommended movies for user id 72: [2026-01-14T06:43:20.028Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T06:43:20.028Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T06:43:20.028Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T06:43:20.028Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T06:43:20.028Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T06:43:20.028Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14719.341 ms) ====== [2026-01-14T06:43:20.028Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-14T06:43:20.028Z] GC before operation: completed in 124.434 ms, heap usage 428.071 MB -> 90.693 MB. [2026-01-14T06:43:23.061Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T06:43:25.027Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T06:43:28.065Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T06:43:30.028Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T06:43:31.993Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T06:43:32.949Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T06:43:33.907Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T06:43:34.863Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T06:43:35.821Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T06:43:35.821Z] The best model improves the baseline by 14.52%. [2026-01-14T06:43:35.821Z] Top recommended movies for user id 72: [2026-01-14T06:43:35.821Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T06:43:35.821Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T06:43:35.821Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T06:43:35.821Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T06:43:35.821Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T06:43:35.821Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15672.136 ms) ====== [2026-01-14T06:43:35.821Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-14T06:43:35.821Z] GC before operation: completed in 117.044 ms, heap usage 513.177 MB -> 90.632 MB. [2026-01-14T06:43:37.787Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T06:43:39.753Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T06:43:41.722Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T06:43:43.685Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T06:43:44.645Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T06:43:46.637Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T06:43:47.593Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T06:43:48.551Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T06:43:48.551Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T06:43:48.551Z] The best model improves the baseline by 14.52%. [2026-01-14T06:43:50.216Z] Top recommended movies for user id 72: [2026-01-14T06:43:50.216Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T06:43:50.216Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T06:43:50.216Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T06:43:50.216Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T06:43:50.216Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T06:43:50.216Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (13254.949 ms) ====== [2026-01-14T06:43:50.216Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-14T06:43:50.216Z] GC before operation: completed in 117.043 ms, heap usage 260.732 MB -> 90.465 MB. [2026-01-14T06:43:51.181Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T06:43:53.146Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T06:43:56.187Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T06:43:58.153Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T06:43:59.116Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T06:44:00.075Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T06:44:01.032Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T06:44:02.998Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T06:44:02.998Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T06:44:02.998Z] The best model improves the baseline by 14.52%. [2026-01-14T06:44:02.998Z] Top recommended movies for user id 72: [2026-01-14T06:44:02.998Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T06:44:02.998Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T06:44:02.998Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T06:44:02.998Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T06:44:02.998Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T06:44:02.998Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (13971.522 ms) ====== [2026-01-14T06:44:02.998Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-14T06:44:02.998Z] GC before operation: completed in 129.648 ms, heap usage 195.563 MB -> 91.502 MB. [2026-01-14T06:44:05.014Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T06:44:06.979Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T06:44:08.943Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T06:44:10.912Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T06:44:12.879Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T06:44:13.837Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T06:44:14.797Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T06:44:16.766Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T06:44:16.766Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T06:44:16.766Z] The best model improves the baseline by 14.52%. [2026-01-14T06:44:16.766Z] Top recommended movies for user id 72: [2026-01-14T06:44:16.766Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T06:44:16.766Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T06:44:16.766Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T06:44:16.766Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T06:44:16.766Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T06:44:16.766Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (13434.357 ms) ====== [2026-01-14T06:44:16.766Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-14T06:44:16.766Z] GC before operation: completed in 119.572 ms, heap usage 473.191 MB -> 90.754 MB. [2026-01-14T06:44:18.740Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T06:44:20.720Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T06:44:22.696Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T06:44:24.664Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T06:44:26.631Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T06:44:27.592Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T06:44:28.552Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T06:44:30.523Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T06:44:30.523Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T06:44:30.523Z] The best model improves the baseline by 14.52%. [2026-01-14T06:44:30.523Z] Top recommended movies for user id 72: [2026-01-14T06:44:30.523Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T06:44:30.523Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T06:44:30.523Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T06:44:30.523Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T06:44:30.523Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T06:44:30.523Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (13729.883 ms) ====== [2026-01-14T06:44:30.523Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-14T06:44:30.523Z] GC before operation: completed in 118.850 ms, heap usage 364.475 MB -> 93.777 MB. [2026-01-14T06:44:32.494Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T06:44:34.460Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T06:44:36.426Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T06:44:39.460Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T06:44:40.419Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T06:44:42.387Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T06:44:43.345Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T06:44:44.301Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T06:44:44.301Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T06:44:44.301Z] The best model improves the baseline by 14.52%. [2026-01-14T06:44:45.264Z] Top recommended movies for user id 72: [2026-01-14T06:44:45.264Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T06:44:45.264Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T06:44:45.264Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T06:44:45.264Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T06:44:45.264Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T06:44:45.264Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14230.580 ms) ====== [2026-01-14T06:44:45.265Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-14T06:44:45.265Z] GC before operation: completed in 126.153 ms, heap usage 691.570 MB -> 97.561 MB. [2026-01-14T06:44:47.786Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T06:44:48.991Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T06:44:52.031Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T06:44:54.002Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T06:44:54.961Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T06:44:55.920Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T06:44:57.888Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T06:44:58.848Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T06:44:58.848Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-14T06:44:58.848Z] The best model improves the baseline by 14.52%. [2026-01-14T06:44:58.848Z] Top recommended movies for user id 72: [2026-01-14T06:44:58.848Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-14T06:44:58.848Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-14T06:44:58.848Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-14T06:44:58.848Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-14T06:44:58.848Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-14T06:44:58.848Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14226.970 ms) ====== [2026-01-14T06:44:59.806Z] ----------------------------------- [2026-01-14T06:44:59.806Z] renaissance-movie-lens_0_PASSED [2026-01-14T06:44:59.806Z] ----------------------------------- [2026-01-14T06:44:59.806Z] [2026-01-14T06:44:59.806Z] TEST TEARDOWN: [2026-01-14T06:44:59.806Z] Nothing to be done for teardown. [2026-01-14T06:44:59.806Z] renaissance-movie-lens_0 Finish Time: Wed Jan 14 06:44:59 2026 Epoch Time (ms): 1768373099232