[2026-02-13T19:59:15.837Z] Running test renaissance-movie-lens_0 ... [2026-02-13T19:59:15.837Z] =============================================== [2026-02-13T19:59:15.837Z] renaissance-movie-lens_0 Start Time: Fri Feb 13 19:59:15 2026 Epoch Time (ms): 1771012755404 [2026-02-13T19:59:15.837Z] variation: NoOptions [2026-02-13T19:59:15.837Z] JVM_OPTIONS: [2026-02-13T19:59:15.837Z] { \ [2026-02-13T19:59:15.837Z] echo ""; echo "TEST SETUP:"; \ [2026-02-13T19:59:15.837Z] echo "Nothing to be done for setup."; \ [2026-02-13T19:59:15.837Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17710100087534/renaissance-movie-lens_0"; \ [2026-02-13T19:59:15.837Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17710100087534/renaissance-movie-lens_0"; \ [2026-02-13T19:59:15.837Z] echo ""; echo "TESTING:"; \ [2026-02-13T19:59:15.837Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/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_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17710100087534/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-13T19:59:15.837Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17710100087534/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-13T19:59:15.837Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-13T19:59:15.837Z] echo "Nothing to be done for teardown."; \ [2026-02-13T19:59:15.837Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17710100087534/TestTargetResult"; [2026-02-13T19:59:15.837Z] [2026-02-13T19:59:15.837Z] TEST SETUP: [2026-02-13T19:59:15.837Z] Nothing to be done for setup. [2026-02-13T19:59:15.837Z] [2026-02-13T19:59:15.837Z] TESTING: [2026-02-13T19:59:18.081Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-13T19:59:18.081Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/output_17710100087534/renaissance-movie-lens_0/launcher-195916-4520769882664861864/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-13T19:59:18.081Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-13T19:59:18.081Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-13T19:59:41.110Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-13T20:00:14.535Z] 20:00:09.772 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. [2026-02-13T20:00:20.405Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-13T20:00:21.647Z] Training: 60056, validation: 20285, test: 19854 [2026-02-13T20:00:21.647Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-13T20:00:23.966Z] GC before operation: completed in 626.825 ms, heap usage 461.891 MB -> 76.019 MB. [2026-02-13T20:00:47.087Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T20:01:02.955Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T20:01:16.057Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T20:01:24.991Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T20:01:32.235Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T20:01:39.524Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T20:01:45.396Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T20:01:51.270Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T20:01:52.031Z] 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. [2026-02-13T20:01:52.031Z] The best model improves the baseline by 14.52%. [2026-02-13T20:01:53.177Z] Top recommended movies for user id 72: [2026-02-13T20:01:53.177Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T20:01:53.177Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T20:01:53.177Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T20:01:53.177Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T20:01:53.177Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T20:01:53.177Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (90699.737 ms) ====== [2026-02-13T20:01:53.177Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-13T20:01:54.346Z] GC before operation: completed in 1077.250 ms, heap usage 844.822 MB -> 93.317 MB. [2026-02-13T20:02:07.532Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T20:02:16.754Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T20:02:27.552Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T20:02:36.540Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T20:02:42.443Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T20:02:48.341Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T20:02:54.413Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T20:02:59.147Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T20:03:00.286Z] 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. [2026-02-13T20:03:00.286Z] The best model improves the baseline by 14.52%. [2026-02-13T20:03:00.999Z] Top recommended movies for user id 72: [2026-02-13T20:03:00.999Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T20:03:00.999Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T20:03:00.999Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T20:03:00.999Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T20:03:00.999Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T20:03:00.999Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (66739.618 ms) ====== [2026-02-13T20:03:00.999Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-13T20:03:01.732Z] GC before operation: completed in 943.415 ms, heap usage 555.388 MB -> 89.048 MB. [2026-02-13T20:03:12.614Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T20:03:21.515Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T20:03:30.390Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T20:03:39.262Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T20:03:44.178Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T20:03:50.066Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T20:03:54.801Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T20:03:59.543Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T20:04:00.682Z] 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. [2026-02-13T20:04:00.682Z] The best model improves the baseline by 14.52%. [2026-02-13T20:04:01.385Z] Top recommended movies for user id 72: [2026-02-13T20:04:01.385Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T20:04:01.385Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T20:04:01.385Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T20:04:01.385Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T20:04:01.385Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T20:04:01.385Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (59593.627 ms) ====== [2026-02-13T20:04:01.385Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-13T20:04:02.543Z] GC before operation: completed in 954.920 ms, heap usage 765.806 MB -> 93.247 MB. [2026-02-13T20:04:11.406Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T20:04:20.272Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T20:04:27.653Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T20:04:36.522Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T20:04:41.303Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T20:04:47.208Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T20:04:51.948Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T20:04:56.692Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T20:04:57.020Z] 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. [2026-02-13T20:04:57.020Z] The best model improves the baseline by 14.52%. [2026-02-13T20:04:57.719Z] Top recommended movies for user id 72: [2026-02-13T20:04:57.719Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T20:04:57.719Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T20:04:57.719Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T20:04:57.719Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T20:04:57.719Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T20:04:57.719Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (55451.759 ms) ====== [2026-02-13T20:04:57.719Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-13T20:04:58.888Z] GC before operation: completed in 955.517 ms, heap usage 986.004 MB -> 94.370 MB. [2026-02-13T20:05:07.911Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T20:05:16.831Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T20:05:25.709Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T20:05:34.594Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T20:05:39.327Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T20:05:45.209Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T20:05:49.931Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T20:05:54.692Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T20:05:55.398Z] 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. [2026-02-13T20:05:55.773Z] The best model improves the baseline by 14.52%. [2026-02-13T20:05:56.480Z] Top recommended movies for user id 72: [2026-02-13T20:05:56.480Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T20:05:56.480Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T20:05:56.480Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T20:05:56.480Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T20:05:56.480Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T20:05:56.480Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (57587.332 ms) ====== [2026-02-13T20:05:56.480Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-13T20:05:57.202Z] GC before operation: completed in 894.234 ms, heap usage 206.863 MB -> 89.542 MB. [2026-02-13T20:06:07.997Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T20:06:15.243Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T20:06:24.112Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T20:06:31.344Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T20:06:37.236Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T20:06:42.091Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T20:06:46.816Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T20:06:51.555Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T20:06:52.262Z] 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. [2026-02-13T20:06:52.262Z] The best model improves the baseline by 14.52%. [2026-02-13T20:06:52.969Z] Top recommended movies for user id 72: [2026-02-13T20:06:52.969Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T20:06:52.969Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T20:06:52.969Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T20:06:52.969Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T20:06:52.969Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T20:06:52.969Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (55601.353 ms) ====== [2026-02-13T20:06:52.969Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-13T20:06:53.671Z] GC before operation: completed in 887.990 ms, heap usage 446.985 MB -> 90.238 MB. [2026-02-13T20:07:02.528Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T20:07:11.431Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T20:07:20.291Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T20:07:27.711Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T20:07:33.590Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T20:07:38.331Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T20:07:44.213Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T20:07:48.963Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T20:07:49.668Z] 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. [2026-02-13T20:07:49.668Z] The best model improves the baseline by 14.52%. [2026-02-13T20:07:50.371Z] Top recommended movies for user id 72: [2026-02-13T20:07:50.371Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T20:07:50.371Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T20:07:50.371Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T20:07:50.371Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T20:07:50.371Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T20:07:50.371Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (56593.963 ms) ====== [2026-02-13T20:07:50.371Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-13T20:07:51.091Z] GC before operation: completed in 699.641 ms, heap usage 385.552 MB -> 90.282 MB. [2026-02-13T20:07:59.978Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T20:08:08.916Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T20:08:16.191Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T20:08:25.077Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T20:08:29.826Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T20:08:34.558Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T20:08:40.457Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T20:08:45.193Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T20:08:45.519Z] 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. [2026-02-13T20:08:45.519Z] The best model improves the baseline by 14.52%. [2026-02-13T20:08:46.225Z] Top recommended movies for user id 72: [2026-02-13T20:08:46.225Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T20:08:46.225Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T20:08:46.225Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T20:08:46.225Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T20:08:46.225Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T20:08:46.225Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (55107.911 ms) ====== [2026-02-13T20:08:46.225Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-13T20:08:46.941Z] GC before operation: completed in 693.517 ms, heap usage 358.886 MB -> 90.319 MB. [2026-02-13T20:08:55.835Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T20:09:03.101Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T20:09:12.006Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T20:09:19.258Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T20:09:25.157Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T20:09:29.962Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T20:09:34.698Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T20:09:40.675Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T20:09:41.003Z] 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. [2026-02-13T20:09:41.003Z] The best model improves the baseline by 14.52%. [2026-02-13T20:09:41.711Z] Top recommended movies for user id 72: [2026-02-13T20:09:41.711Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T20:09:41.711Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T20:09:41.711Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T20:09:41.711Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T20:09:41.711Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T20:09:41.711Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (55028.491 ms) ====== [2026-02-13T20:09:41.711Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-13T20:09:42.440Z] GC before operation: completed in 671.132 ms, heap usage 181.052 MB -> 90.055 MB. [2026-02-13T20:09:51.303Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T20:09:58.542Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T20:10:05.848Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T20:10:13.087Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T20:10:18.967Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T20:10:22.775Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T20:10:27.517Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T20:10:32.263Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T20:10:32.588Z] 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. [2026-02-13T20:10:32.921Z] The best model improves the baseline by 14.52%. [2026-02-13T20:10:33.624Z] Top recommended movies for user id 72: [2026-02-13T20:10:33.625Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T20:10:33.625Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T20:10:33.625Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T20:10:33.625Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T20:10:33.625Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T20:10:33.625Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (51053.011 ms) ====== [2026-02-13T20:10:33.625Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-13T20:10:34.334Z] GC before operation: completed in 722.041 ms, heap usage 225.230 MB -> 90.099 MB. [2026-02-13T20:10:43.217Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T20:10:50.505Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T20:10:57.808Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T20:11:05.117Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T20:11:09.869Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T20:11:14.618Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T20:11:19.377Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T20:11:24.115Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T20:11:25.255Z] 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. [2026-02-13T20:11:25.255Z] The best model improves the baseline by 14.52%. [2026-02-13T20:11:25.975Z] Top recommended movies for user id 72: [2026-02-13T20:11:25.975Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T20:11:25.975Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T20:11:25.975Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T20:11:25.975Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T20:11:25.975Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T20:11:25.975Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (51440.852 ms) ====== [2026-02-13T20:11:25.975Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-13T20:11:26.682Z] GC before operation: completed in 719.404 ms, heap usage 303.211 MB -> 89.983 MB. [2026-02-13T20:11:36.128Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T20:11:42.038Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T20:11:49.486Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T20:11:56.744Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T20:12:01.484Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T20:12:06.223Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T20:12:10.952Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T20:12:15.695Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T20:12:16.399Z] 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. [2026-02-13T20:12:16.399Z] The best model improves the baseline by 14.52%. [2026-02-13T20:12:17.099Z] Top recommended movies for user id 72: [2026-02-13T20:12:17.099Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T20:12:17.099Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T20:12:17.099Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T20:12:17.099Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T20:12:17.099Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T20:12:17.099Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (50708.680 ms) ====== [2026-02-13T20:12:17.099Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-13T20:12:17.821Z] GC before operation: completed in 701.625 ms, heap usage 238.824 MB -> 90.156 MB. [2026-02-13T20:12:26.771Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T20:12:34.004Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T20:12:41.244Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T20:12:48.478Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T20:12:53.403Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T20:12:58.129Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T20:13:02.861Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T20:13:07.594Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T20:13:08.732Z] 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. [2026-02-13T20:13:08.732Z] The best model improves the baseline by 14.52%. [2026-02-13T20:13:09.520Z] Top recommended movies for user id 72: [2026-02-13T20:13:09.520Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T20:13:09.520Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T20:13:09.520Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T20:13:09.520Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T20:13:09.520Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T20:13:09.520Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (51368.414 ms) ====== [2026-02-13T20:13:09.520Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-13T20:13:09.849Z] GC before operation: completed in 739.168 ms, heap usage 380.120 MB -> 90.451 MB. [2026-02-13T20:13:18.725Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T20:13:25.978Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T20:13:34.840Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T20:13:42.107Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T20:13:46.850Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T20:13:51.587Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T20:13:57.579Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T20:14:02.407Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T20:14:03.543Z] 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. [2026-02-13T20:14:03.869Z] The best model improves the baseline by 14.52%. [2026-02-13T20:14:04.202Z] Top recommended movies for user id 72: [2026-02-13T20:14:04.202Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T20:14:04.202Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T20:14:04.202Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T20:14:04.202Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T20:14:04.202Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T20:14:04.202Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (54317.269 ms) ====== [2026-02-13T20:14:04.202Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-13T20:14:04.932Z] GC before operation: completed in 699.383 ms, heap usage 123.504 MB -> 89.965 MB. [2026-02-13T20:14:13.802Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T20:14:22.673Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T20:14:29.917Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T20:14:38.817Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T20:14:42.632Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T20:14:47.367Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T20:14:53.252Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T20:14:57.018Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T20:14:58.166Z] 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. [2026-02-13T20:14:58.493Z] The best model improves the baseline by 14.52%. [2026-02-13T20:14:58.820Z] Top recommended movies for user id 72: [2026-02-13T20:14:58.820Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T20:14:58.820Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T20:14:58.820Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T20:14:58.820Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T20:14:58.820Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T20:14:58.820Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (53933.298 ms) ====== [2026-02-13T20:14:58.821Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-13T20:14:59.541Z] GC before operation: completed in 706.814 ms, heap usage 113.018 MB -> 90.312 MB. [2026-02-13T20:15:08.495Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T20:15:17.360Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T20:15:24.683Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T20:15:33.540Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T20:15:37.306Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T20:15:42.048Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T20:15:47.935Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T20:15:53.833Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T20:15:53.833Z] 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. [2026-02-13T20:15:54.158Z] The best model improves the baseline by 14.52%. [2026-02-13T20:15:54.876Z] Top recommended movies for user id 72: [2026-02-13T20:15:54.876Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T20:15:54.876Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T20:15:54.876Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T20:15:54.876Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T20:15:54.876Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T20:15:54.876Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (55076.658 ms) ====== [2026-02-13T20:15:54.876Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-13T20:15:55.592Z] GC before operation: completed in 706.419 ms, heap usage 261.965 MB -> 90.169 MB. [2026-02-13T20:16:04.445Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T20:16:11.904Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T20:16:20.746Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T20:16:28.001Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T20:16:32.739Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T20:16:37.519Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T20:16:43.373Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T20:16:48.204Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T20:16:48.900Z] 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. [2026-02-13T20:16:49.223Z] The best model improves the baseline by 14.52%. [2026-02-13T20:16:49.944Z] Top recommended movies for user id 72: [2026-02-13T20:16:49.944Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T20:16:49.944Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T20:16:49.944Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T20:16:49.944Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T20:16:49.944Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T20:16:49.944Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (54372.255 ms) ====== [2026-02-13T20:16:49.944Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-13T20:16:50.656Z] GC before operation: completed in 719.271 ms, heap usage 126.443 MB -> 90.086 MB. [2026-02-13T20:16:59.515Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T20:17:08.371Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T20:17:15.603Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T20:17:24.479Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T20:17:29.328Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T20:17:34.081Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T20:17:39.967Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T20:17:43.731Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T20:17:44.873Z] 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. [2026-02-13T20:17:44.873Z] The best model improves the baseline by 14.52%. [2026-02-13T20:17:45.199Z] Top recommended movies for user id 72: [2026-02-13T20:17:45.199Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T20:17:45.199Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T20:17:45.199Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T20:17:45.199Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T20:17:45.199Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T20:17:45.199Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (54785.704 ms) ====== [2026-02-13T20:17:45.199Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-13T20:17:46.353Z] GC before operation: completed in 771.571 ms, heap usage 549.975 MB -> 90.537 MB. [2026-02-13T20:17:55.238Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T20:18:04.242Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T20:18:11.539Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T20:18:20.410Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T20:18:25.152Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T20:18:31.041Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T20:18:35.761Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T20:18:40.556Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T20:18:41.738Z] 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. [2026-02-13T20:18:41.738Z] The best model improves the baseline by 14.52%. [2026-02-13T20:18:42.446Z] Top recommended movies for user id 72: [2026-02-13T20:18:42.446Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T20:18:42.446Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T20:18:42.446Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T20:18:42.446Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T20:18:42.446Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T20:18:42.446Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (56254.744 ms) ====== [2026-02-13T20:18:42.446Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-13T20:18:43.164Z] GC before operation: completed in 750.074 ms, heap usage 509.326 MB -> 90.509 MB. [2026-02-13T20:18:52.018Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T20:18:59.260Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T20:19:06.561Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T20:19:13.793Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T20:19:18.526Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T20:19:22.385Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T20:19:27.119Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T20:19:31.846Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T20:19:32.544Z] 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. [2026-02-13T20:19:32.544Z] The best model improves the baseline by 14.52%. [2026-02-13T20:19:33.248Z] Top recommended movies for user id 72: [2026-02-13T20:19:33.248Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T20:19:33.248Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T20:19:33.248Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T20:19:33.248Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T20:19:33.248Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T20:19:33.248Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (50092.355 ms) ====== [2026-02-13T20:19:37.020Z] ----------------------------------- [2026-02-13T20:19:37.020Z] renaissance-movie-lens_0_PASSED [2026-02-13T20:19:37.020Z] ----------------------------------- [2026-02-13T20:19:37.020Z] [2026-02-13T20:19:37.020Z] TEST TEARDOWN: [2026-02-13T20:19:37.020Z] Nothing to be done for teardown. [2026-02-13T20:19:37.348Z] renaissance-movie-lens_0 Finish Time: Fri Feb 13 20:19:37 2026 Epoch Time (ms): 1771013977048