[2026-02-05T00:29:41.830Z] Running test renaissance-movie-lens_0 ... [2026-02-05T00:29:41.830Z] =============================================== [2026-02-05T00:29:41.830Z] renaissance-movie-lens_0 Start Time: Thu Feb 5 00:29:41 2026 Epoch Time (ms): 1770251381628 [2026-02-05T00:29:41.830Z] variation: NoOptions [2026-02-05T00:29:41.830Z] JVM_OPTIONS: [2026-02-05T00:29:41.830Z] { \ [2026-02-05T00:29:41.830Z] echo ""; echo "TEST SETUP:"; \ [2026-02-05T00:29:41.830Z] echo "Nothing to be done for setup."; \ [2026-02-05T00:29:41.830Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_1770249833319/renaissance-movie-lens_0"; \ [2026-02-05T00:29:41.830Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_1770249833319/renaissance-movie-lens_0"; \ [2026-02-05T00:29:41.830Z] echo ""; echo "TESTING:"; \ [2026-02-05T00:29:41.830Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_1770249833319/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-05T00:29:41.830Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_1770249833319/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-05T00:29:41.830Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-05T00:29:41.830Z] echo "Nothing to be done for teardown."; \ [2026-02-05T00:29:41.830Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_1770249833319/TestTargetResult"; [2026-02-05T00:29:41.830Z] [2026-02-05T00:29:41.830Z] TEST SETUP: [2026-02-05T00:29:41.830Z] Nothing to be done for setup. [2026-02-05T00:29:41.830Z] [2026-02-05T00:29:41.830Z] TESTING: [2026-02-05T00:29:53.691Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-05T00:30:07.528Z] 00:30:07.011 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-05T00:30:13.202Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-05T00:30:13.979Z] Training: 60056, validation: 20285, test: 19854 [2026-02-05T00:30:13.979Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-05T00:30:13.979Z] GC before operation: completed in 210.313 ms, heap usage 257.609 MB -> 75.771 MB. [2026-02-05T00:30:30.255Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:30:42.657Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:30:51.033Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:30:58.149Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:31:02.681Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:31:07.204Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:31:10.662Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:31:15.170Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:31:15.952Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-05T00:31:15.952Z] The best model improves the baseline by 14.52%. [2026-02-05T00:31:16.736Z] Top recommended movies for user id 72: [2026-02-05T00:31:16.736Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:31:16.736Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:31:16.736Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:31:16.736Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:31:16.736Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:31:16.736Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (62518.951 ms) ====== [2026-02-05T00:31:16.736Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-05T00:31:16.736Z] GC before operation: completed in 342.972 ms, heap usage 265.951 MB -> 91.480 MB. [2026-02-05T00:31:23.697Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:31:29.921Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:31:36.822Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:31:42.474Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:31:45.957Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:31:50.452Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:31:53.091Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:31:56.606Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:31:57.381Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-05T00:31:57.381Z] The best model improves the baseline by 14.52%. [2026-02-05T00:31:57.381Z] Top recommended movies for user id 72: [2026-02-05T00:31:57.381Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:31:57.381Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:31:57.381Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:31:57.381Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:31:57.381Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:31:57.381Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (40687.642 ms) ====== [2026-02-05T00:31:57.381Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-05T00:31:58.162Z] GC before operation: completed in 222.911 ms, heap usage 370.495 MB -> 88.662 MB. [2026-02-05T00:32:03.835Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:32:12.228Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:32:19.693Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:32:25.339Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:32:28.812Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:32:33.323Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:32:36.795Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:32:41.303Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:32:42.087Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-05T00:32:42.087Z] The best model improves the baseline by 14.52%. [2026-02-05T00:32:42.877Z] Top recommended movies for user id 72: [2026-02-05T00:32:42.877Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:32:42.877Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:32:42.877Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:32:42.877Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:32:42.877Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:32:42.877Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (44885.725 ms) ====== [2026-02-05T00:32:42.877Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-05T00:32:42.877Z] GC before operation: completed in 381.916 ms, heap usage 264.664 MB -> 94.543 MB. [2026-02-05T00:32:48.530Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:32:54.274Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:32:59.943Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:33:05.751Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:33:09.237Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:33:13.785Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:33:19.420Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:33:22.896Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:33:22.896Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-05T00:33:22.896Z] The best model improves the baseline by 14.52%. [2026-02-05T00:33:23.671Z] Top recommended movies for user id 72: [2026-02-05T00:33:23.671Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:33:23.671Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:33:23.671Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:33:23.671Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:33:23.671Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:33:23.671Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (40219.328 ms) ====== [2026-02-05T00:33:23.671Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-05T00:33:23.671Z] GC before operation: completed in 254.287 ms, heap usage 616.231 MB -> 93.126 MB. [2026-02-05T00:33:29.335Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:33:34.978Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:33:41.907Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:33:47.550Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:33:51.018Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:33:55.167Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:33:58.621Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:34:01.117Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:34:01.899Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-05T00:34:01.899Z] The best model improves the baseline by 14.52%. [2026-02-05T00:34:01.899Z] Top recommended movies for user id 72: [2026-02-05T00:34:01.899Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:34:01.899Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:34:01.899Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:34:01.899Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:34:01.899Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:34:01.899Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (38577.543 ms) ====== [2026-02-05T00:34:01.899Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-05T00:34:02.670Z] GC before operation: completed in 295.408 ms, heap usage 431.387 MB -> 92.254 MB. [2026-02-05T00:34:08.322Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:34:13.959Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:34:19.618Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:34:24.152Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:34:27.619Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:34:30.108Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:34:34.619Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:34:37.124Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:34:37.914Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-05T00:34:37.914Z] The best model improves the baseline by 14.52%. [2026-02-05T00:34:37.914Z] Top recommended movies for user id 72: [2026-02-05T00:34:37.914Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:34:37.914Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:34:37.914Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:34:37.914Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:34:37.914Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:34:37.914Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (35574.977 ms) ====== [2026-02-05T00:34:37.914Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-05T00:34:38.981Z] GC before operation: completed in 268.181 ms, heap usage 723.537 MB -> 95.798 MB. [2026-02-05T00:34:45.900Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:34:52.816Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:34:58.480Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:35:03.001Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:35:06.462Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:35:09.916Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:35:12.476Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:35:15.934Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:35:15.934Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-05T00:35:15.934Z] The best model improves the baseline by 14.52%. [2026-02-05T00:35:16.715Z] Top recommended movies for user id 72: [2026-02-05T00:35:16.715Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:35:16.715Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:35:16.715Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:35:16.715Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:35:16.715Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:35:16.715Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (38203.374 ms) ====== [2026-02-05T00:35:16.715Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-05T00:35:16.715Z] GC before operation: completed in 223.232 ms, heap usage 760.374 MB -> 93.580 MB. [2026-02-05T00:35:22.394Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:35:27.457Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:35:34.404Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:35:38.923Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:35:42.372Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:35:44.893Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:35:49.412Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:35:52.916Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:35:52.916Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-05T00:35:52.916Z] The best model improves the baseline by 14.52%. [2026-02-05T00:35:53.690Z] Top recommended movies for user id 72: [2026-02-05T00:35:53.690Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:35:53.690Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:35:53.690Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:35:53.690Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:35:53.690Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:35:53.690Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (36625.486 ms) ====== [2026-02-05T00:35:53.690Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-05T00:35:53.690Z] GC before operation: completed in 286.386 ms, heap usage 380.656 MB -> 92.277 MB. [2026-02-05T00:36:02.063Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:36:06.563Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:36:12.243Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:36:18.414Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:36:21.888Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:36:25.359Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:36:27.872Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:36:31.349Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:36:32.123Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-05T00:36:32.123Z] The best model improves the baseline by 14.52%. [2026-02-05T00:36:32.919Z] Top recommended movies for user id 72: [2026-02-05T00:36:32.919Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:36:32.919Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:36:32.919Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:36:32.919Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:36:32.919Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:36:32.919Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (38896.275 ms) ====== [2026-02-05T00:36:32.919Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-05T00:36:32.919Z] GC before operation: completed in 257.749 ms, heap usage 472.383 MB -> 91.225 MB. [2026-02-05T00:36:38.571Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:36:44.224Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:36:49.882Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:36:54.439Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:36:56.940Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:37:00.613Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:37:03.130Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:37:06.581Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:37:06.581Z] 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. [2026-02-05T00:37:06.581Z] The best model improves the baseline by 14.52%. [2026-02-05T00:37:07.354Z] Top recommended movies for user id 72: [2026-02-05T00:37:07.354Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:37:07.354Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:37:07.354Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:37:07.354Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:37:07.354Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:37:07.354Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (34296.597 ms) ====== [2026-02-05T00:37:07.354Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-05T00:37:07.354Z] GC before operation: completed in 249.348 ms, heap usage 140.750 MB -> 92.018 MB. [2026-02-05T00:37:13.000Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:37:18.666Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:37:24.332Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:37:30.027Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:37:33.475Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:37:36.931Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:37:40.387Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:37:42.971Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:37:43.748Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-05T00:37:43.748Z] The best model improves the baseline by 14.52%. [2026-02-05T00:37:43.748Z] Top recommended movies for user id 72: [2026-02-05T00:37:43.748Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:37:43.748Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:37:43.748Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:37:43.748Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:37:43.748Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:37:43.748Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (36517.147 ms) ====== [2026-02-05T00:37:43.748Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-05T00:37:44.527Z] GC before operation: completed in 283.754 ms, heap usage 484.373 MB -> 89.989 MB. [2026-02-05T00:37:50.730Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:37:55.268Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:38:00.933Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:38:05.523Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:38:09.026Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:38:11.535Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:38:15.022Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:38:19.581Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:38:19.581Z] 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. [2026-02-05T00:38:19.581Z] The best model improves the baseline by 14.52%. [2026-02-05T00:38:20.371Z] Top recommended movies for user id 72: [2026-02-05T00:38:20.371Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:38:20.371Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:38:20.371Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:38:20.371Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:38:20.371Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:38:20.371Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (35913.386 ms) ====== [2026-02-05T00:38:20.371Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-05T00:38:20.371Z] GC before operation: completed in 243.587 ms, heap usage 109.781 MB -> 89.829 MB. [2026-02-05T00:38:27.322Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:38:34.528Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:38:41.474Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:38:48.405Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:38:53.261Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:38:57.158Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:39:00.625Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:39:04.072Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:39:04.072Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-05T00:39:04.072Z] The best model improves the baseline by 14.52%. [2026-02-05T00:39:04.856Z] Top recommended movies for user id 72: [2026-02-05T00:39:04.856Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:39:04.856Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:39:04.856Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:39:04.856Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:39:04.856Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:39:04.856Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (44372.282 ms) ====== [2026-02-05T00:39:04.856Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-05T00:39:04.856Z] GC before operation: completed in 293.655 ms, heap usage 357.122 MB -> 91.976 MB. [2026-02-05T00:39:10.513Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:39:16.204Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:39:21.936Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:39:26.451Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:39:29.962Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:39:33.415Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:39:36.884Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:39:39.393Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:39:40.174Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-05T00:39:40.174Z] The best model improves the baseline by 14.52%. [2026-02-05T00:39:40.174Z] Top recommended movies for user id 72: [2026-02-05T00:39:40.174Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:39:40.174Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:39:40.174Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:39:40.174Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:39:40.174Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:39:40.174Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (35396.477 ms) ====== [2026-02-05T00:39:40.174Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-05T00:39:40.957Z] GC before operation: completed in 282.878 ms, heap usage 254.393 MB -> 89.887 MB. [2026-02-05T00:39:46.608Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:39:51.150Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:39:56.937Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:40:01.462Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:40:05.101Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:40:07.604Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:40:11.078Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:40:14.538Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:40:14.538Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-05T00:40:15.335Z] The best model improves the baseline by 14.52%. [2026-02-05T00:40:15.335Z] Top recommended movies for user id 72: [2026-02-05T00:40:15.335Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:40:15.335Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:40:15.335Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:40:15.335Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:40:15.335Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:40:15.335Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (34535.823 ms) ====== [2026-02-05T00:40:15.335Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-05T00:40:15.335Z] GC before operation: completed in 325.553 ms, heap usage 520.657 MB -> 90.476 MB. [2026-02-05T00:40:20.980Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:40:26.634Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:40:31.196Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:40:36.827Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:40:39.342Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:40:41.842Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:40:45.301Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:40:48.759Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:40:48.759Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-05T00:40:48.759Z] The best model improves the baseline by 14.52%. [2026-02-05T00:40:49.538Z] Top recommended movies for user id 72: [2026-02-05T00:40:49.538Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:40:49.538Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:40:49.538Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:40:49.538Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:40:49.538Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:40:49.538Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (33800.123 ms) ====== [2026-02-05T00:40:49.538Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-05T00:40:49.538Z] GC before operation: completed in 257.066 ms, heap usage 715.967 MB -> 93.854 MB. [2026-02-05T00:40:55.694Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:41:00.190Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:41:05.847Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:41:11.505Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:41:14.069Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:41:17.525Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:41:20.023Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:41:23.489Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:41:23.489Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-05T00:41:23.489Z] The best model improves the baseline by 14.52%. [2026-02-05T00:41:23.489Z] Top recommended movies for user id 72: [2026-02-05T00:41:23.489Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:41:23.489Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:41:23.489Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:41:23.489Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:41:23.489Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:41:23.489Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (34135.769 ms) ====== [2026-02-05T00:41:23.489Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-05T00:41:24.270Z] GC before operation: completed in 245.710 ms, heap usage 227.544 MB -> 89.976 MB. [2026-02-05T00:41:29.934Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:41:34.436Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:41:40.087Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:41:45.130Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:41:48.571Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:41:52.033Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:41:54.527Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:41:57.986Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:41:58.761Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-05T00:41:58.761Z] The best model improves the baseline by 14.52%. [2026-02-05T00:41:58.761Z] Top recommended movies for user id 72: [2026-02-05T00:41:58.761Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:41:58.761Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:41:58.761Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:41:58.761Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:41:58.761Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:41:58.761Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (34887.815 ms) ====== [2026-02-05T00:41:58.761Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-05T00:41:59.534Z] GC before operation: completed in 267.405 ms, heap usage 553.517 MB -> 93.527 MB. [2026-02-05T00:42:05.166Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:42:09.663Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:42:15.347Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:42:19.874Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:42:23.336Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:42:26.252Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:42:29.719Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:42:33.156Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:42:33.156Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-05T00:42:33.156Z] The best model improves the baseline by 14.52%. [2026-02-05T00:42:33.932Z] Top recommended movies for user id 72: [2026-02-05T00:42:33.932Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:42:33.932Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:42:33.932Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:42:33.932Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:42:33.932Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:42:33.932Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (34645.275 ms) ====== [2026-02-05T00:42:33.932Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-05T00:42:33.932Z] GC before operation: completed in 229.496 ms, heap usage 282.548 MB -> 90.028 MB. [2026-02-05T00:42:39.611Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:42:45.269Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:42:50.907Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:42:55.520Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:42:58.034Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:43:01.487Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:43:04.971Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:43:08.457Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:43:08.457Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-05T00:43:08.457Z] The best model improves the baseline by 14.52%. [2026-02-05T00:43:09.234Z] Top recommended movies for user id 72: [2026-02-05T00:43:09.234Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T00:43:09.234Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T00:43:09.234Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T00:43:09.234Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T00:43:09.234Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T00:43:09.234Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (34800.686 ms) ====== [2026-02-05T00:43:10.150Z] ----------------------------------- [2026-02-05T00:43:10.150Z] renaissance-movie-lens_0_PASSED [2026-02-05T00:43:10.150Z] ----------------------------------- [2026-02-05T00:43:10.150Z] [2026-02-05T00:43:10.150Z] TEST TEARDOWN: [2026-02-05T00:43:10.150Z] Nothing to be done for teardown. [2026-02-05T00:43:10.150Z] renaissance-movie-lens_0 Finish Time: Thu Feb 5 00:43:09 2026 Epoch Time (ms): 1770252189543