[2026-03-05T02:36:37.800Z] Running test renaissance-movie-lens_0 ... [2026-03-05T02:36:37.800Z] =============================================== [2026-03-05T02:36:37.800Z] renaissance-movie-lens_0 Start Time: Thu Mar 5 02:36:37 2026 Epoch Time (ms): 1772678197573 [2026-03-05T02:36:37.800Z] variation: NoOptions [2026-03-05T02:36:37.800Z] JVM_OPTIONS: [2026-03-05T02:36:37.800Z] { \ [2026-03-05T02:36:37.800Z] echo ""; echo "TEST SETUP:"; \ [2026-03-05T02:36:37.800Z] echo "Nothing to be done for setup."; \ [2026-03-05T02:36:37.801Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17726771819423/renaissance-movie-lens_0"; \ [2026-03-05T02:36:37.801Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17726771819423/renaissance-movie-lens_0"; \ [2026-03-05T02:36:37.801Z] echo ""; echo "TESTING:"; \ [2026-03-05T02:36:37.801Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17726771819423/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-05T02:36:37.801Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17726771819423/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-05T02:36:37.801Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-05T02:36:37.801Z] echo "Nothing to be done for teardown."; \ [2026-03-05T02:36:37.801Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17726771819423/TestTargetResult"; [2026-03-05T02:36:37.801Z] [2026-03-05T02:36:37.801Z] TEST SETUP: [2026-03-05T02:36:37.801Z] Nothing to be done for setup. [2026-03-05T02:36:37.801Z] [2026-03-05T02:36:37.801Z] TESTING: [2026-03-05T02:36:53.599Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-03-05T02:37:01.755Z] 02:37:01.567 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. [2026-03-05T02:37:04.827Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-05T02:37:04.827Z] Training: 60056, validation: 20285, test: 19854 [2026-03-05T02:37:04.827Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-05T02:37:05.781Z] GC before operation: completed in 171.835 ms, heap usage 232.014 MB -> 74.594 MB. [2026-03-05T02:37:12.562Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T02:37:17.962Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T02:37:23.362Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T02:37:28.776Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T02:37:32.976Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T02:37:36.030Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T02:37:39.101Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T02:37:42.129Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T02:37:43.086Z] 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. [2026-03-05T02:37:43.086Z] The best model improves the baseline by 14.52%. [2026-03-05T02:37:43.086Z] Top recommended movies for user id 72: [2026-03-05T02:37:43.086Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T02:37:43.086Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T02:37:43.086Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T02:37:43.086Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T02:37:43.086Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T02:37:43.086Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (38121.247 ms) ====== [2026-03-05T02:37:43.086Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-05T02:37:44.082Z] GC before operation: completed in 327.906 ms, heap usage 118.476 MB -> 85.371 MB. [2026-03-05T02:37:49.493Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T02:37:54.932Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T02:37:59.124Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T02:38:04.532Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T02:38:06.495Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T02:38:09.530Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T02:38:11.503Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T02:38:14.581Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T02:38:14.581Z] 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. [2026-03-05T02:38:14.582Z] The best model improves the baseline by 14.52%. [2026-03-05T02:38:15.542Z] Top recommended movies for user id 72: [2026-03-05T02:38:15.542Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T02:38:15.542Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T02:38:15.542Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T02:38:15.542Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T02:38:15.542Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T02:38:15.542Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (31416.058 ms) ====== [2026-03-05T02:38:15.542Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-05T02:38:15.542Z] GC before operation: completed in 288.820 ms, heap usage 430.485 MB -> 87.840 MB. [2026-03-05T02:38:19.729Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T02:38:23.921Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T02:38:27.679Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T02:38:29.668Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T02:38:31.642Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T02:38:33.647Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T02:38:35.609Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T02:38:37.569Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T02:38:37.569Z] 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. [2026-03-05T02:38:37.569Z] The best model improves the baseline by 14.52%. [2026-03-05T02:38:37.569Z] Top recommended movies for user id 72: [2026-03-05T02:38:37.569Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T02:38:37.569Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T02:38:37.569Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T02:38:37.569Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T02:38:37.569Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T02:38:37.569Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (22047.993 ms) ====== [2026-03-05T02:38:37.569Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-05T02:38:37.569Z] GC before operation: completed in 199.770 ms, heap usage 435.589 MB -> 88.500 MB. [2026-03-05T02:38:40.590Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T02:38:43.641Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T02:38:49.277Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T02:38:49.277Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T02:38:52.307Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T02:38:55.346Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T02:38:57.321Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T02:39:00.372Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T02:39:00.372Z] 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. [2026-03-05T02:39:00.372Z] The best model improves the baseline by 14.52%. [2026-03-05T02:39:01.335Z] Top recommended movies for user id 72: [2026-03-05T02:39:01.335Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T02:39:01.335Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T02:39:01.335Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T02:39:01.335Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T02:39:01.335Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T02:39:01.335Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (23177.117 ms) ====== [2026-03-05T02:39:01.335Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-05T02:39:01.335Z] GC before operation: completed in 263.566 ms, heap usage 408.254 MB -> 88.781 MB. [2026-03-05T02:39:05.518Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T02:39:09.707Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T02:39:13.977Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T02:39:18.194Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T02:39:21.247Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T02:39:23.222Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T02:39:26.265Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T02:39:29.308Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T02:39:29.308Z] 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. [2026-03-05T02:39:29.308Z] The best model improves the baseline by 14.52%. [2026-03-05T02:39:29.308Z] Top recommended movies for user id 72: [2026-03-05T02:39:29.308Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T02:39:29.308Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T02:39:29.308Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T02:39:29.308Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T02:39:29.308Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T02:39:29.308Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (28244.677 ms) ====== [2026-03-05T02:39:29.308Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-05T02:39:29.308Z] GC before operation: completed in 274.045 ms, heap usage 381.323 MB -> 88.701 MB. [2026-03-05T02:39:33.642Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T02:39:37.850Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T02:39:42.050Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T02:39:46.519Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T02:39:48.509Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T02:39:50.480Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T02:39:53.535Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T02:39:55.509Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T02:39:55.509Z] 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. [2026-03-05T02:39:55.509Z] The best model improves the baseline by 14.52%. [2026-03-05T02:39:55.509Z] Top recommended movies for user id 72: [2026-03-05T02:39:55.509Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T02:39:55.509Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T02:39:55.509Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T02:39:55.509Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T02:39:55.509Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T02:39:55.509Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (25938.225 ms) ====== [2026-03-05T02:39:55.509Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-05T02:39:55.509Z] GC before operation: completed in 194.635 ms, heap usage 163.615 MB -> 88.747 MB. [2026-03-05T02:39:59.691Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T02:40:02.727Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T02:40:06.903Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T02:40:11.096Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T02:40:13.063Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T02:40:15.033Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T02:40:17.008Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T02:40:20.053Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T02:40:20.053Z] 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. [2026-03-05T02:40:20.053Z] The best model improves the baseline by 14.52%. [2026-03-05T02:40:20.053Z] Top recommended movies for user id 72: [2026-03-05T02:40:20.053Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T02:40:20.053Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T02:40:20.053Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T02:40:20.053Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T02:40:20.053Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T02:40:20.053Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (24579.740 ms) ====== [2026-03-05T02:40:20.053Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-05T02:40:21.011Z] GC before operation: completed in 267.150 ms, heap usage 179.131 MB -> 88.746 MB. [2026-03-05T02:40:25.183Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T02:40:29.370Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T02:40:32.473Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T02:40:36.736Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T02:40:39.772Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T02:40:41.747Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T02:40:44.779Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T02:40:47.820Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T02:40:47.820Z] 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. [2026-03-05T02:40:47.820Z] The best model improves the baseline by 14.52%. [2026-03-05T02:40:47.820Z] Top recommended movies for user id 72: [2026-03-05T02:40:47.820Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T02:40:47.820Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T02:40:47.820Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T02:40:47.820Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T02:40:47.820Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T02:40:47.820Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (27307.562 ms) ====== [2026-03-05T02:40:47.820Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-05T02:40:48.781Z] GC before operation: completed in 300.445 ms, heap usage 418.416 MB -> 89.166 MB. [2026-03-05T02:40:51.825Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T02:40:56.001Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T02:41:00.289Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T02:41:04.480Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T02:41:07.541Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T02:41:09.522Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T02:41:12.563Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T02:41:15.616Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T02:41:16.602Z] 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. [2026-03-05T02:41:16.602Z] The best model improves the baseline by 14.52%. [2026-03-05T02:41:16.602Z] Top recommended movies for user id 72: [2026-03-05T02:41:16.602Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T02:41:16.602Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T02:41:16.602Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T02:41:16.602Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T02:41:16.602Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T02:41:16.602Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (28394.429 ms) ====== [2026-03-05T02:41:16.602Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-05T02:41:17.559Z] GC before operation: completed in 403.717 ms, heap usage 487.165 MB -> 89.116 MB. [2026-03-05T02:41:22.691Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T02:41:26.910Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T02:41:32.342Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T02:41:36.589Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T02:41:38.563Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T02:41:40.534Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T02:41:42.519Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T02:41:45.552Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T02:41:45.552Z] 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. [2026-03-05T02:41:45.552Z] The best model improves the baseline by 14.52%. [2026-03-05T02:41:45.552Z] Top recommended movies for user id 72: [2026-03-05T02:41:45.552Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T02:41:45.552Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T02:41:45.552Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T02:41:45.552Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T02:41:45.552Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T02:41:45.552Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (28562.498 ms) ====== [2026-03-05T02:41:45.552Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-05T02:41:45.552Z] GC before operation: completed in 280.791 ms, heap usage 212.267 MB -> 88.979 MB. [2026-03-05T02:41:49.717Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T02:41:53.898Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T02:41:58.082Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T02:42:02.272Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T02:42:04.250Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T02:42:07.295Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T02:42:09.258Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T02:42:11.223Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T02:42:11.223Z] 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. [2026-03-05T02:42:11.223Z] The best model improves the baseline by 14.52%. [2026-03-05T02:42:11.223Z] Top recommended movies for user id 72: [2026-03-05T02:42:11.223Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T02:42:11.223Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T02:42:11.223Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T02:42:11.223Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T02:42:11.223Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T02:42:11.223Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (25579.789 ms) ====== [2026-03-05T02:42:11.223Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-05T02:42:12.185Z] GC before operation: completed in 244.304 ms, heap usage 199.399 MB -> 88.727 MB. [2026-03-05T02:42:15.223Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T02:42:19.415Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T02:42:22.453Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T02:42:25.487Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T02:42:27.459Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T02:42:29.433Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T02:42:32.468Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T02:42:34.513Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T02:42:34.513Z] 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. [2026-03-05T02:42:34.513Z] The best model improves the baseline by 14.52%. [2026-03-05T02:42:34.513Z] Top recommended movies for user id 72: [2026-03-05T02:42:34.513Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T02:42:34.513Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T02:42:34.513Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T02:42:34.513Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T02:42:34.513Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T02:42:34.513Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (23095.292 ms) ====== [2026-03-05T02:42:34.513Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-05T02:42:35.472Z] GC before operation: completed in 274.512 ms, heap usage 99.959 MB -> 88.985 MB. [2026-03-05T02:42:38.526Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T02:42:42.724Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T02:42:46.910Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T02:42:51.080Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T02:42:53.055Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T02:42:56.097Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T02:42:59.141Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T02:43:01.121Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T02:43:01.121Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T02:43:01.121Z] The best model improves the baseline by 14.52%. [2026-03-05T02:43:02.077Z] Top recommended movies for user id 72: [2026-03-05T02:43:02.077Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T02:43:02.077Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T02:43:02.077Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T02:43:02.077Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T02:43:02.077Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T02:43:02.077Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (26547.475 ms) ====== [2026-03-05T02:43:02.077Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-05T02:43:02.077Z] GC before operation: completed in 335.926 ms, heap usage 486.997 MB -> 89.413 MB. [2026-03-05T02:43:06.268Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T02:43:10.445Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T02:43:14.650Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T02:43:17.695Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T02:43:19.667Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T02:43:22.696Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T02:43:25.743Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T02:43:27.725Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T02:43:28.686Z] 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. [2026-03-05T02:43:28.686Z] The best model improves the baseline by 14.52%. [2026-03-05T02:43:28.686Z] Top recommended movies for user id 72: [2026-03-05T02:43:28.686Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T02:43:28.686Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T02:43:28.686Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T02:43:28.686Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T02:43:28.686Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T02:43:28.686Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (26481.101 ms) ====== [2026-03-05T02:43:28.686Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-05T02:43:28.686Z] GC before operation: completed in 351.775 ms, heap usage 397.328 MB -> 89.114 MB. [2026-03-05T02:43:34.119Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T02:43:38.305Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T02:43:41.350Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T02:43:45.540Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T02:43:47.514Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T02:43:50.562Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T02:43:52.530Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T02:43:55.618Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T02:43:55.618Z] 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. [2026-03-05T02:43:55.618Z] The best model improves the baseline by 14.52%. [2026-03-05T02:43:55.618Z] Top recommended movies for user id 72: [2026-03-05T02:43:55.618Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T02:43:55.618Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T02:43:55.618Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T02:43:55.618Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T02:43:55.618Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T02:43:55.618Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (27150.689 ms) ====== [2026-03-05T02:43:55.618Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-05T02:43:56.579Z] GC before operation: completed in 269.610 ms, heap usage 116.114 MB -> 88.994 MB. [2026-03-05T02:44:00.784Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T02:44:04.955Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T02:44:09.129Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T02:44:12.158Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T02:44:14.123Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T02:44:16.535Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T02:44:19.633Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T02:44:22.687Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T02:44:22.687Z] 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. [2026-03-05T02:44:22.687Z] The best model improves the baseline by 14.52%. [2026-03-05T02:44:22.687Z] Top recommended movies for user id 72: [2026-03-05T02:44:22.687Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T02:44:22.687Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T02:44:22.687Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T02:44:22.687Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T02:44:22.687Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T02:44:22.687Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (26549.035 ms) ====== [2026-03-05T02:44:22.687Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-05T02:44:23.652Z] GC before operation: completed in 319.120 ms, heap usage 286.144 MB -> 89.031 MB. [2026-03-05T02:44:26.707Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T02:44:30.885Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T02:44:35.063Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T02:44:39.240Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T02:44:41.209Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T02:44:43.171Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T02:44:45.139Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T02:44:47.286Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T02:44:47.286Z] 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. [2026-03-05T02:44:47.286Z] The best model improves the baseline by 14.52%. [2026-03-05T02:44:47.287Z] Top recommended movies for user id 72: [2026-03-05T02:44:47.287Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T02:44:47.287Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T02:44:47.287Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T02:44:47.287Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T02:44:47.287Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T02:44:47.287Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (24170.435 ms) ====== [2026-03-05T02:44:47.287Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-05T02:44:47.287Z] GC before operation: completed in 249.679 ms, heap usage 408.272 MB -> 89.284 MB. [2026-03-05T02:44:50.317Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T02:44:53.358Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T02:44:56.402Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T02:44:59.431Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T02:45:01.403Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T02:45:03.364Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T02:45:05.355Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T02:45:06.314Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T02:45:07.270Z] 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. [2026-03-05T02:45:07.270Z] The best model improves the baseline by 14.52%. [2026-03-05T02:45:07.270Z] Top recommended movies for user id 72: [2026-03-05T02:45:07.270Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T02:45:07.270Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T02:45:07.270Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T02:45:07.270Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T02:45:07.270Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T02:45:07.270Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19495.125 ms) ====== [2026-03-05T02:45:07.270Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-05T02:45:07.270Z] GC before operation: completed in 196.731 ms, heap usage 99.442 MB -> 89.170 MB. [2026-03-05T02:45:10.318Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T02:45:13.357Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T02:45:18.829Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T02:45:24.321Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T02:45:28.571Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T02:45:31.619Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T02:45:33.697Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T02:45:36.753Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T02:45:36.753Z] 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. [2026-03-05T02:45:36.753Z] The best model improves the baseline by 14.52%. [2026-03-05T02:45:36.753Z] Top recommended movies for user id 72: [2026-03-05T02:45:36.753Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T02:45:36.753Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T02:45:36.753Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T02:45:36.753Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T02:45:36.753Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T02:45:36.753Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (29666.717 ms) ====== [2026-03-05T02:45:36.753Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-05T02:45:36.753Z] GC before operation: completed in 266.237 ms, heap usage 115.708 MB -> 88.929 MB. [2026-03-05T02:45:40.942Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T02:45:45.134Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T02:45:49.330Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T02:45:53.521Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T02:45:55.489Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T02:45:58.525Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T02:46:00.499Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T02:46:02.472Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T02:46:03.428Z] 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. [2026-03-05T02:46:03.428Z] The best model improves the baseline by 14.52%. [2026-03-05T02:46:03.428Z] Top recommended movies for user id 72: [2026-03-05T02:46:03.428Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T02:46:03.428Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T02:46:03.428Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T02:46:03.428Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T02:46:03.428Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T02:46:03.428Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (26262.264 ms) ====== [2026-03-05T02:46:04.388Z] ----------------------------------- [2026-03-05T02:46:04.388Z] renaissance-movie-lens_0_PASSED [2026-03-05T02:46:04.388Z] ----------------------------------- [2026-03-05T02:46:04.388Z] [2026-03-05T02:46:04.388Z] TEST TEARDOWN: [2026-03-05T02:46:04.388Z] Nothing to be done for teardown. [2026-03-05T02:46:04.388Z] renaissance-movie-lens_0 Finish Time: Thu Mar 5 02:46:03 2026 Epoch Time (ms): 1772678763747