[2026-01-21T02:25:10.290Z] Running test renaissance-movie-lens_0 ... [2026-01-21T02:25:10.290Z] =============================================== [2026-01-21T02:25:10.290Z] renaissance-movie-lens_0 Start Time: Wed Jan 21 02:25:09 2026 Epoch Time (ms): 1768962309394 [2026-01-21T02:25:10.290Z] variation: NoOptions [2026-01-21T02:25:10.290Z] JVM_OPTIONS: [2026-01-21T02:25:10.290Z] { \ [2026-01-21T02:25:10.290Z] echo ""; echo "TEST SETUP:"; \ [2026-01-21T02:25:10.290Z] echo "Nothing to be done for setup."; \ [2026-01-21T02:25:10.290Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17689614544809/renaissance-movie-lens_0"; \ [2026-01-21T02:25:10.290Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17689614544809/renaissance-movie-lens_0"; \ [2026-01-21T02:25:10.290Z] echo ""; echo "TESTING:"; \ [2026-01-21T02:25:10.290Z] "/home/jenkins/workspace/Test_openjdk21_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_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17689614544809/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-21T02:25:10.290Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17689614544809/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-21T02:25:10.290Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-21T02:25:10.290Z] echo "Nothing to be done for teardown."; \ [2026-01-21T02:25:10.290Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17689614544809/TestTargetResult"; [2026-01-21T02:25:10.290Z] [2026-01-21T02:25:10.290Z] TEST SETUP: [2026-01-21T02:25:10.290Z] Nothing to be done for setup. [2026-01-21T02:25:10.290Z] [2026-01-21T02:25:10.290Z] TESTING: [2026-01-21T02:25:14.659Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-21T02:25:21.629Z] 02:25:20.992 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-21T02:25:23.615Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-21T02:25:23.615Z] Training: 60056, validation: 20285, test: 19854 [2026-01-21T02:25:23.615Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-21T02:25:24.583Z] GC before operation: completed in 144.167 ms, heap usage 272.652 MB -> 75.947 MB. [2026-01-21T02:25:28.800Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T02:25:31.825Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T02:25:34.892Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T02:25:37.960Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T02:25:39.948Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T02:25:41.944Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T02:25:42.920Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T02:25:44.912Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T02:25:44.912Z] 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. [2026-01-21T02:25:44.912Z] The best model improves the baseline by 14.52%. [2026-01-21T02:25:45.881Z] Top recommended movies for user id 72: [2026-01-21T02:25:45.881Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T02:25:45.881Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T02:25:45.881Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T02:25:45.881Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T02:25:45.881Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T02:25:45.881Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (21287.563 ms) ====== [2026-01-21T02:25:45.881Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-21T02:25:45.881Z] GC before operation: completed in 203.145 ms, heap usage 194.496 MB -> 88.725 MB. [2026-01-21T02:25:48.949Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T02:25:50.953Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T02:25:54.018Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T02:25:56.007Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T02:25:58.172Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T02:26:00.172Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T02:26:01.142Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T02:26:03.133Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T02:26:03.133Z] 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. [2026-01-21T02:26:03.133Z] The best model improves the baseline by 14.52%. [2026-01-21T02:26:04.101Z] Top recommended movies for user id 72: [2026-01-21T02:26:04.101Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T02:26:04.101Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T02:26:04.101Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T02:26:04.101Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T02:26:04.101Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T02:26:04.101Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17971.323 ms) ====== [2026-01-21T02:26:04.101Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-21T02:26:04.101Z] GC before operation: completed in 131.518 ms, heap usage 116.603 MB -> 88.659 MB. [2026-01-21T02:26:06.098Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T02:26:09.163Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T02:26:11.152Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T02:26:14.371Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T02:26:15.368Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T02:26:17.356Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T02:26:19.346Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T02:26:20.319Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T02:26:20.319Z] 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. [2026-01-21T02:26:22.539Z] The best model improves the baseline by 14.52%. [2026-01-21T02:26:22.539Z] Top recommended movies for user id 72: [2026-01-21T02:26:22.539Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T02:26:22.539Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T02:26:22.539Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T02:26:22.539Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T02:26:22.540Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T02:26:22.540Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17271.260 ms) ====== [2026-01-21T02:26:22.540Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-21T02:26:22.540Z] GC before operation: completed in 133.940 ms, heap usage 429.685 MB -> 89.708 MB. [2026-01-21T02:26:23.511Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T02:26:25.501Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T02:26:28.576Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T02:26:30.624Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T02:26:32.619Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T02:26:34.606Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T02:26:35.577Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T02:26:37.634Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T02:26:37.634Z] 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. [2026-01-21T02:26:37.634Z] The best model improves the baseline by 14.52%. [2026-01-21T02:26:37.634Z] Top recommended movies for user id 72: [2026-01-21T02:26:37.634Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T02:26:37.634Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T02:26:37.634Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T02:26:37.634Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T02:26:37.634Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T02:26:37.634Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16536.005 ms) ====== [2026-01-21T02:26:37.634Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-21T02:26:37.634Z] GC before operation: completed in 195.669 ms, heap usage 412.406 MB -> 89.944 MB. [2026-01-21T02:26:42.517Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T02:26:42.517Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T02:26:45.585Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T02:26:47.571Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T02:26:48.540Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T02:26:50.526Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T02:26:51.494Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T02:26:53.488Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T02:26:53.488Z] 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. [2026-01-21T02:26:53.488Z] The best model improves the baseline by 14.52%. [2026-01-21T02:26:53.488Z] Top recommended movies for user id 72: [2026-01-21T02:26:53.488Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T02:26:53.488Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T02:26:53.488Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T02:26:53.488Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T02:26:53.488Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T02:26:53.488Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15734.699 ms) ====== [2026-01-21T02:26:53.488Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-21T02:26:53.488Z] GC before operation: completed in 162.705 ms, heap usage 355.085 MB -> 89.915 MB. [2026-01-21T02:26:56.556Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T02:26:58.541Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T02:27:00.532Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T02:27:03.607Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T02:27:04.577Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T02:27:06.661Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T02:27:07.631Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T02:27:08.599Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T02:27:09.567Z] 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. [2026-01-21T02:27:09.567Z] The best model improves the baseline by 14.52%. [2026-01-21T02:27:09.567Z] Top recommended movies for user id 72: [2026-01-21T02:27:09.567Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T02:27:09.567Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T02:27:09.567Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T02:27:09.567Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T02:27:09.567Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T02:27:09.567Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15737.481 ms) ====== [2026-01-21T02:27:09.567Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-21T02:27:09.567Z] GC before operation: completed in 160.954 ms, heap usage 274.902 MB -> 90.126 MB. [2026-01-21T02:27:11.557Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T02:27:14.621Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T02:27:16.612Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T02:27:18.599Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T02:27:20.584Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T02:27:21.554Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T02:27:23.600Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T02:27:24.570Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T02:27:24.570Z] 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. [2026-01-21T02:27:24.570Z] The best model improves the baseline by 14.52%. [2026-01-21T02:27:25.539Z] Top recommended movies for user id 72: [2026-01-21T02:27:25.539Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T02:27:25.539Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T02:27:25.539Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T02:27:25.539Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T02:27:25.539Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T02:27:25.539Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15525.667 ms) ====== [2026-01-21T02:27:25.539Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-21T02:27:25.539Z] GC before operation: completed in 146.216 ms, heap usage 330.799 MB -> 90.064 MB. [2026-01-21T02:27:27.525Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T02:27:29.513Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T02:27:32.581Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T02:27:34.568Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T02:27:35.537Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T02:27:36.507Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T02:27:38.494Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T02:27:39.464Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T02:27:39.464Z] 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. [2026-01-21T02:27:39.464Z] The best model improves the baseline by 14.52%. [2026-01-21T02:27:40.440Z] Top recommended movies for user id 72: [2026-01-21T02:27:40.440Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T02:27:40.440Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T02:27:40.440Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T02:27:40.440Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T02:27:40.440Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T02:27:40.440Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14720.038 ms) ====== [2026-01-21T02:27:40.440Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-21T02:27:40.440Z] GC before operation: completed in 146.442 ms, heap usage 288.074 MB -> 90.361 MB. [2026-01-21T02:27:42.426Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T02:27:44.412Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T02:27:47.476Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T02:27:49.464Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T02:27:50.451Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T02:27:52.440Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T02:27:53.410Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T02:27:55.400Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T02:27:55.400Z] 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. [2026-01-21T02:27:55.400Z] The best model improves the baseline by 14.52%. [2026-01-21T02:27:55.400Z] Top recommended movies for user id 72: [2026-01-21T02:27:55.400Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T02:27:55.400Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T02:27:55.400Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T02:27:55.400Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T02:27:55.400Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T02:27:55.400Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15314.515 ms) ====== [2026-01-21T02:27:55.400Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-21T02:27:55.400Z] GC before operation: completed in 160.161 ms, heap usage 345.173 MB -> 90.226 MB. [2026-01-21T02:27:58.471Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T02:28:00.558Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T02:28:02.544Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T02:28:04.529Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T02:28:06.670Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T02:28:07.641Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T02:28:09.632Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T02:28:10.601Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T02:28:10.601Z] 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. [2026-01-21T02:28:10.601Z] The best model improves the baseline by 14.52%. [2026-01-21T02:28:11.570Z] Top recommended movies for user id 72: [2026-01-21T02:28:11.570Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T02:28:11.570Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T02:28:11.570Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T02:28:11.570Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T02:28:11.570Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T02:28:11.570Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15438.752 ms) ====== [2026-01-21T02:28:11.570Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-21T02:28:11.570Z] GC before operation: completed in 165.716 ms, heap usage 130.036 MB -> 90.162 MB. [2026-01-21T02:28:13.559Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T02:28:15.664Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T02:28:18.477Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T02:28:20.465Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T02:28:22.455Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T02:28:23.426Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T02:28:25.424Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T02:28:26.393Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T02:28:27.362Z] 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. [2026-01-21T02:28:27.362Z] The best model improves the baseline by 14.52%. [2026-01-21T02:28:27.362Z] Top recommended movies for user id 72: [2026-01-21T02:28:27.362Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T02:28:27.363Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T02:28:27.363Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T02:28:27.363Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T02:28:27.363Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T02:28:27.363Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15806.721 ms) ====== [2026-01-21T02:28:27.363Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-21T02:28:27.363Z] GC before operation: completed in 143.507 ms, heap usage 124.054 MB -> 89.797 MB. [2026-01-21T02:28:29.349Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T02:28:31.348Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T02:28:34.414Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T02:28:35.382Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T02:28:37.370Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T02:28:38.339Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T02:28:40.328Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T02:28:41.297Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T02:28:41.297Z] 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. [2026-01-21T02:28:41.297Z] The best model improves the baseline by 14.52%. [2026-01-21T02:28:41.297Z] Top recommended movies for user id 72: [2026-01-21T02:28:41.297Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T02:28:41.297Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T02:28:41.297Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T02:28:41.297Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T02:28:41.297Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T02:28:41.297Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14366.101 ms) ====== [2026-01-21T02:28:41.297Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-21T02:28:41.297Z] GC before operation: completed in 124.722 ms, heap usage 163.367 MB -> 90.248 MB. [2026-01-21T02:28:44.364Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T02:28:46.360Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T02:28:48.349Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T02:28:50.341Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T02:28:51.311Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T02:28:53.299Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T02:28:54.268Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T02:28:56.257Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T02:28:56.257Z] 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. [2026-01-21T02:28:56.257Z] The best model improves the baseline by 14.52%. [2026-01-21T02:28:56.257Z] Top recommended movies for user id 72: [2026-01-21T02:28:56.257Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T02:28:56.257Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T02:28:56.257Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T02:28:56.257Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T02:28:56.257Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T02:28:56.257Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14494.141 ms) ====== [2026-01-21T02:28:56.257Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-21T02:28:56.257Z] GC before operation: completed in 151.179 ms, heap usage 724.643 MB -> 94.172 MB. [2026-01-21T02:28:58.306Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T02:29:00.296Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T02:29:03.365Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T02:29:05.353Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T02:29:06.473Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T02:29:07.443Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T02:29:09.430Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T02:29:10.403Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T02:29:11.375Z] 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. [2026-01-21T02:29:11.375Z] The best model improves the baseline by 14.52%. [2026-01-21T02:29:11.375Z] Top recommended movies for user id 72: [2026-01-21T02:29:11.375Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T02:29:11.375Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T02:29:11.375Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T02:29:11.375Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T02:29:11.375Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T02:29:11.375Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14687.758 ms) ====== [2026-01-21T02:29:11.375Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-21T02:29:11.375Z] GC before operation: completed in 162.857 ms, heap usage 103.199 MB -> 89.874 MB. [2026-01-21T02:29:13.267Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T02:29:15.300Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T02:29:18.397Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T02:29:20.388Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T02:29:21.357Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T02:29:23.348Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T02:29:24.318Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T02:29:26.308Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T02:29:26.309Z] 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. [2026-01-21T02:29:26.309Z] The best model improves the baseline by 14.52%. [2026-01-21T02:29:26.309Z] Top recommended movies for user id 72: [2026-01-21T02:29:26.309Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T02:29:26.309Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T02:29:26.309Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T02:29:26.309Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T02:29:26.309Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T02:29:26.309Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15330.720 ms) ====== [2026-01-21T02:29:26.309Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-21T02:29:26.309Z] GC before operation: completed in 154.582 ms, heap usage 130.473 MB -> 90.229 MB. [2026-01-21T02:29:29.379Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T02:29:31.372Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T02:29:33.363Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T02:29:35.350Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T02:29:37.339Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T02:29:38.309Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T02:29:40.308Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T02:29:41.277Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T02:29:41.278Z] 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. [2026-01-21T02:29:42.247Z] The best model improves the baseline by 14.52%. [2026-01-21T02:29:42.247Z] Top recommended movies for user id 72: [2026-01-21T02:29:42.247Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T02:29:42.247Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T02:29:42.247Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T02:29:42.247Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T02:29:42.247Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T02:29:42.247Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15201.659 ms) ====== [2026-01-21T02:29:42.247Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-21T02:29:42.247Z] GC before operation: completed in 133.811 ms, heap usage 310.143 MB -> 90.391 MB. [2026-01-21T02:29:44.239Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T02:29:46.241Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T02:29:49.310Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T02:29:51.300Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T02:29:52.270Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T02:29:53.240Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T02:29:55.233Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T02:29:56.204Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T02:29:57.177Z] 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. [2026-01-21T02:29:57.177Z] The best model improves the baseline by 14.52%. [2026-01-21T02:29:57.177Z] Top recommended movies for user id 72: [2026-01-21T02:29:57.177Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T02:29:57.177Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T02:29:57.177Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T02:29:57.177Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T02:29:57.177Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T02:29:57.177Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15056.928 ms) ====== [2026-01-21T02:29:57.177Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-21T02:29:57.177Z] GC before operation: completed in 118.428 ms, heap usage 361.832 MB -> 90.512 MB. [2026-01-21T02:29:59.167Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T02:30:01.156Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T02:30:04.255Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T02:30:06.243Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T02:30:08.192Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T02:30:09.161Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T02:30:10.130Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T02:30:11.100Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T02:30:12.068Z] 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. [2026-01-21T02:30:12.068Z] The best model improves the baseline by 14.52%. [2026-01-21T02:30:12.068Z] Top recommended movies for user id 72: [2026-01-21T02:30:12.068Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T02:30:12.068Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T02:30:12.068Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T02:30:12.068Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T02:30:12.068Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T02:30:12.068Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14803.647 ms) ====== [2026-01-21T02:30:12.068Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-21T02:30:12.068Z] GC before operation: completed in 117.015 ms, heap usage 102.083 MB -> 90.347 MB. [2026-01-21T02:30:14.058Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T02:30:16.103Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T02:30:19.172Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T02:30:21.160Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T02:30:22.130Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T02:30:24.117Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T02:30:25.087Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T02:30:26.057Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T02:30:27.026Z] 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. [2026-01-21T02:30:27.026Z] The best model improves the baseline by 14.52%. [2026-01-21T02:30:27.026Z] Top recommended movies for user id 72: [2026-01-21T02:30:27.026Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T02:30:27.026Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T02:30:27.026Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T02:30:27.026Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T02:30:27.026Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T02:30:27.026Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14858.894 ms) ====== [2026-01-21T02:30:27.026Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-21T02:30:27.026Z] GC before operation: completed in 122.312 ms, heap usage 361.073 MB -> 90.430 MB. [2026-01-21T02:30:29.014Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T02:30:32.082Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T02:30:34.070Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T02:30:36.057Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T02:30:38.045Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T02:30:39.019Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T02:30:39.993Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T02:30:41.982Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T02:30:41.982Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-21T02:30:41.982Z] The best model improves the baseline by 14.52%. [2026-01-21T02:30:41.982Z] Top recommended movies for user id 72: [2026-01-21T02:30:41.982Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T02:30:41.982Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T02:30:41.982Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T02:30:41.982Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T02:30:41.982Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T02:30:41.982Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15023.387 ms) ====== [2026-01-21T02:30:42.950Z] ----------------------------------- [2026-01-21T02:30:42.950Z] renaissance-movie-lens_0_PASSED [2026-01-21T02:30:42.950Z] ----------------------------------- [2026-01-21T02:30:42.950Z] [2026-01-21T02:30:42.950Z] TEST TEARDOWN: [2026-01-21T02:30:42.950Z] Nothing to be done for teardown. [2026-01-21T02:30:42.950Z] renaissance-movie-lens_0 Finish Time: Wed Jan 21 02:30:42 2026 Epoch Time (ms): 1768962642155