[2026-03-04T23:00:51.082Z] Running test renaissance-movie-lens_0 ... [2026-03-04T23:00:51.082Z] =============================================== [2026-03-04T23:00:51.082Z] renaissance-movie-lens_0 Start Time: Wed Mar 4 23:00:50 2026 Epoch Time (ms): 1772665250990 [2026-03-04T23:00:51.082Z] variation: NoOptions [2026-03-04T23:00:51.082Z] JVM_OPTIONS: [2026-03-04T23:00:51.082Z] { \ [2026-03-04T23:00:51.082Z] echo ""; echo "TEST SETUP:"; \ [2026-03-04T23:00:51.082Z] echo "Nothing to be done for setup."; \ [2026-03-04T23:00:51.082Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17726636542336/renaissance-movie-lens_0"; \ [2026-03-04T23:00:51.082Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17726636542336/renaissance-movie-lens_0"; \ [2026-03-04T23:00:51.082Z] echo ""; echo "TESTING:"; \ [2026-03-04T23:00:51.082Z] "/home/jenkins/workspace/Test_openjdk21_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_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17726636542336/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-04T23:00:51.082Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17726636542336/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-04T23:00:51.082Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-04T23:00:51.082Z] echo "Nothing to be done for teardown."; \ [2026-03-04T23:00:51.082Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17726636542336/TestTargetResult"; [2026-03-04T23:00:51.082Z] [2026-03-04T23:00:51.082Z] TEST SETUP: [2026-03-04T23:00:51.082Z] Nothing to be done for setup. [2026-03-04T23:00:51.082Z] [2026-03-04T23:00:51.082Z] TESTING: [2026-03-04T23:01:02.691Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-03-04T23:01:16.465Z] 23:01:15.347 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-03-04T23:01:20.860Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-04T23:01:25.716Z] Training: 60056, validation: 20285, test: 19854 [2026-03-04T23:01:25.716Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-04T23:01:25.716Z] GC before operation: completed in 255.990 ms, heap usage 259.855 MB -> 75.919 MB. [2026-03-04T23:01:39.265Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:01:47.409Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:01:57.197Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:02:05.373Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:02:12.242Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:02:14.677Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:02:20.183Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:02:24.706Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:02:24.706Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:02:25.467Z] The best model improves the baseline by 14.52%. [2026-03-04T23:02:26.212Z] Top recommended movies for user id 72: [2026-03-04T23:02:26.212Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:02:26.212Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:02:26.212Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:02:26.212Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:02:26.212Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:02:26.212Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (63264.480 ms) ====== [2026-03-04T23:02:26.212Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-04T23:02:26.212Z] GC before operation: completed in 340.231 ms, heap usage 361.161 MB -> 86.758 MB. [2026-03-04T23:02:32.923Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:02:39.703Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:02:47.795Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:02:53.262Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:02:56.568Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:03:01.510Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:03:04.808Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:03:08.124Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:03:08.965Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:03:08.965Z] The best model improves the baseline by 14.52%. [2026-03-04T23:03:09.701Z] Top recommended movies for user id 72: [2026-03-04T23:03:09.701Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:03:09.701Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:03:09.701Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:03:09.701Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:03:09.701Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:03:09.701Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (43371.616 ms) ====== [2026-03-04T23:03:09.701Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-04T23:03:09.701Z] GC before operation: completed in 289.333 ms, heap usage 223.642 MB -> 88.597 MB. [2026-03-04T23:03:16.614Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:03:22.018Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:03:27.462Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:03:32.875Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:03:37.194Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:03:41.004Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:03:43.440Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:03:47.786Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:03:47.786Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:03:47.786Z] The best model improves the baseline by 14.52%. [2026-03-04T23:03:48.524Z] Top recommended movies for user id 72: [2026-03-04T23:03:48.524Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:03:48.524Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:03:48.524Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:03:48.524Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:03:48.524Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:03:48.524Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (38577.320 ms) ====== [2026-03-04T23:03:48.524Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-04T23:03:48.524Z] GC before operation: completed in 290.011 ms, heap usage 410.041 MB -> 89.575 MB. [2026-03-04T23:03:55.280Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:04:00.746Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:04:06.358Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:04:11.811Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:04:14.292Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:04:17.610Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:04:21.103Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:04:23.985Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:04:24.729Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:04:24.729Z] The best model improves the baseline by 14.52%. [2026-03-04T23:04:24.729Z] Top recommended movies for user id 72: [2026-03-04T23:04:24.729Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:04:24.729Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:04:24.729Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:04:24.729Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:04:24.729Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:04:24.729Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (36003.180 ms) ====== [2026-03-04T23:04:24.729Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-04T23:04:24.729Z] GC before operation: completed in 280.339 ms, heap usage 610.758 MB -> 93.314 MB. [2026-03-04T23:04:30.221Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:04:35.734Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:04:42.414Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:04:47.861Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:04:51.166Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:04:54.474Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:04:57.779Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:05:01.100Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:05:01.100Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:05:01.867Z] The best model improves the baseline by 14.52%. [2026-03-04T23:05:01.867Z] Top recommended movies for user id 72: [2026-03-04T23:05:01.867Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:05:01.867Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:05:01.867Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:05:01.867Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:05:01.867Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:05:01.867Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (36748.172 ms) ====== [2026-03-04T23:05:01.867Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-04T23:05:01.867Z] GC before operation: completed in 220.040 ms, heap usage 548.221 MB -> 93.306 MB. [2026-03-04T23:05:07.517Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:05:12.974Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:05:18.465Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:05:23.953Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:05:28.299Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:05:31.611Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:05:34.988Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:05:38.305Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:05:39.056Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:05:39.057Z] The best model improves the baseline by 14.52%. [2026-03-04T23:05:39.057Z] Top recommended movies for user id 72: [2026-03-04T23:05:39.057Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:05:39.057Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:05:39.057Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:05:39.057Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:05:39.057Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:05:39.057Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (37141.275 ms) ====== [2026-03-04T23:05:39.057Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-04T23:05:39.057Z] GC before operation: completed in 285.057 ms, heap usage 118.619 MB -> 90.115 MB. [2026-03-04T23:05:45.735Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:05:51.611Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:05:57.113Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:06:01.483Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:06:04.902Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:06:07.304Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:06:10.635Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:06:13.943Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:06:14.701Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:06:14.701Z] The best model improves the baseline by 14.52%. [2026-03-04T23:06:14.701Z] Top recommended movies for user id 72: [2026-03-04T23:06:14.701Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:06:14.701Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:06:14.701Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:06:14.701Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:06:14.701Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:06:14.701Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (35587.428 ms) ====== [2026-03-04T23:06:14.701Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-04T23:06:15.442Z] GC before operation: completed in 393.329 ms, heap usage 774.794 MB -> 93.889 MB. [2026-03-04T23:06:23.451Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:06:27.758Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:06:32.519Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:06:39.152Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:06:42.426Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:06:44.809Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:06:53.459Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:06:54.984Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:06:54.984Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:06:54.984Z] The best model improves the baseline by 14.52%. [2026-03-04T23:06:55.731Z] Top recommended movies for user id 72: [2026-03-04T23:06:55.731Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:06:55.731Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:06:55.731Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:06:55.731Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:06:55.731Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:06:55.731Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (40057.547 ms) ====== [2026-03-04T23:06:55.731Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-04T23:06:55.731Z] GC before operation: completed in 246.397 ms, heap usage 295.088 MB -> 90.207 MB. [2026-03-04T23:07:01.145Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:07:05.514Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:07:11.140Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:07:16.576Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:07:19.867Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:07:22.325Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:07:25.609Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:07:28.893Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:07:29.637Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:07:29.637Z] The best model improves the baseline by 14.52%. [2026-03-04T23:07:29.637Z] Top recommended movies for user id 72: [2026-03-04T23:07:29.637Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:07:29.637Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:07:29.637Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:07:29.637Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:07:29.637Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:07:29.637Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (34173.493 ms) ====== [2026-03-04T23:07:29.637Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-04T23:07:30.381Z] GC before operation: completed in 249.482 ms, heap usage 264.167 MB -> 90.043 MB. [2026-03-04T23:07:35.791Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:07:40.109Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:07:45.513Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:07:50.912Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:07:53.288Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:07:56.620Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:07:58.995Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:08:02.335Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:08:02.335Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:08:02.335Z] The best model improves the baseline by 14.52%. [2026-03-04T23:08:03.069Z] Top recommended movies for user id 72: [2026-03-04T23:08:03.069Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:08:03.069Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:08:03.069Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:08:03.069Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:08:03.069Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:08:03.069Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (32726.935 ms) ====== [2026-03-04T23:08:03.069Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-04T23:08:03.069Z] GC before operation: completed in 329.570 ms, heap usage 488.806 MB -> 90.711 MB. [2026-03-04T23:08:08.482Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:08:12.811Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:08:18.193Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:08:22.473Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:08:24.831Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:08:28.122Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:08:30.477Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:08:34.130Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:08:34.130Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:08:34.130Z] The best model improves the baseline by 14.52%. [2026-03-04T23:08:34.130Z] Top recommended movies for user id 72: [2026-03-04T23:08:34.130Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:08:34.130Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:08:34.130Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:08:34.130Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:08:34.130Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:08:34.130Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (31104.883 ms) ====== [2026-03-04T23:08:34.130Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-04T23:08:34.875Z] GC before operation: completed in 242.907 ms, heap usage 369.635 MB -> 90.049 MB. [2026-03-04T23:08:39.167Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:08:43.497Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:08:48.987Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:08:52.269Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:08:55.550Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:08:57.979Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:09:01.256Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:09:04.527Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:09:04.527Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:09:04.527Z] The best model improves the baseline by 14.52%. [2026-03-04T23:09:04.527Z] Top recommended movies for user id 72: [2026-03-04T23:09:04.527Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:09:04.527Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:09:04.527Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:09:04.527Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:09:04.527Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:09:04.527Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (30327.392 ms) ====== [2026-03-04T23:09:04.527Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-04T23:09:05.259Z] GC before operation: completed in 220.975 ms, heap usage 465.471 MB -> 90.466 MB. [2026-03-04T23:09:09.590Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:09:14.358Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:09:19.852Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:09:24.146Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:09:26.521Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:09:29.868Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:09:33.157Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:09:35.530Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:09:36.276Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:09:36.276Z] The best model improves the baseline by 14.52%. [2026-03-04T23:09:36.276Z] Top recommended movies for user id 72: [2026-03-04T23:09:36.276Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:09:36.276Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:09:36.276Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:09:36.276Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:09:36.276Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:09:36.276Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (31393.749 ms) ====== [2026-03-04T23:09:36.276Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-04T23:09:37.010Z] GC before operation: completed in 264.716 ms, heap usage 242.770 MB -> 90.261 MB. [2026-03-04T23:09:41.327Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:09:46.725Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:09:52.132Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:09:56.458Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:09:59.392Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:10:02.739Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:10:06.041Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:10:09.379Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:10:10.168Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:10:10.168Z] The best model improves the baseline by 14.52%. [2026-03-04T23:10:10.919Z] Top recommended movies for user id 72: [2026-03-04T23:10:10.919Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:10:10.919Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:10:10.919Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:10:10.919Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:10:10.919Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:10:10.919Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (33840.352 ms) ====== [2026-03-04T23:10:10.919Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-04T23:10:10.919Z] GC before operation: completed in 387.089 ms, heap usage 293.883 MB -> 90.145 MB. [2026-03-04T23:10:17.584Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:10:23.057Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:10:27.366Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:10:32.834Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:10:36.119Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:10:38.962Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:10:43.289Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:10:45.691Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:10:46.421Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:10:46.421Z] The best model improves the baseline by 14.52%. [2026-03-04T23:10:46.421Z] Top recommended movies for user id 72: [2026-03-04T23:10:46.421Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:10:46.421Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:10:46.421Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:10:46.421Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:10:46.421Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:10:46.421Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (35799.762 ms) ====== [2026-03-04T23:10:46.421Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-04T23:10:47.154Z] GC before operation: completed in 353.137 ms, heap usage 111.009 MB -> 90.175 MB. [2026-03-04T23:10:52.545Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:10:57.959Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:11:03.419Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:11:08.965Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:11:12.256Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:11:15.571Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:11:19.074Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:11:22.393Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:11:22.393Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:11:23.131Z] The best model improves the baseline by 14.52%. [2026-03-04T23:11:23.131Z] Top recommended movies for user id 72: [2026-03-04T23:11:23.131Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:11:23.131Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:11:23.131Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:11:23.131Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:11:23.131Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:11:23.131Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (35990.056 ms) ====== [2026-03-04T23:11:23.131Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-04T23:11:23.131Z] GC before operation: completed in 289.327 ms, heap usage 435.358 MB -> 90.401 MB. [2026-03-04T23:11:28.526Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:11:33.974Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:11:40.637Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:11:47.300Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:11:49.654Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:11:53.003Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:11:57.303Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:11:59.848Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:12:00.607Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:12:00.607Z] The best model improves the baseline by 14.52%. [2026-03-04T23:12:01.359Z] Top recommended movies for user id 72: [2026-03-04T23:12:01.359Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:12:01.359Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:12:01.359Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:12:01.359Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:12:01.359Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:12:01.359Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (37674.445 ms) ====== [2026-03-04T23:12:01.359Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-04T23:12:01.359Z] GC before operation: completed in 284.256 ms, heap usage 246.868 MB -> 90.205 MB. [2026-03-04T23:12:08.182Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:12:13.668Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:12:19.154Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:12:24.644Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:12:28.070Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:12:30.502Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:12:33.832Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:12:37.145Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:12:37.145Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:12:37.145Z] The best model improves the baseline by 14.52%. [2026-03-04T23:12:37.890Z] Top recommended movies for user id 72: [2026-03-04T23:12:37.890Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:12:37.890Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:12:37.890Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:12:37.890Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:12:37.890Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:12:37.890Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (36407.995 ms) ====== [2026-03-04T23:12:37.890Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-04T23:12:37.890Z] GC before operation: completed in 376.394 ms, heap usage 381.985 MB -> 90.255 MB. [2026-03-04T23:12:42.682Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:12:48.119Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:12:52.441Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:12:56.740Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:13:00.042Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:13:02.427Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:13:04.833Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:13:08.182Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:13:08.182Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:13:08.182Z] The best model improves the baseline by 14.52%. [2026-03-04T23:13:08.922Z] Top recommended movies for user id 72: [2026-03-04T23:13:08.922Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:13:08.922Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:13:08.922Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:13:08.922Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:13:08.922Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:13:08.922Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (30486.587 ms) ====== [2026-03-04T23:13:08.922Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-04T23:13:08.922Z] GC before operation: completed in 350.871 ms, heap usage 596.934 MB -> 93.882 MB. [2026-03-04T23:13:14.372Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:13:18.668Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:13:24.192Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:13:28.477Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:13:30.847Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:13:34.145Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:13:37.440Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:13:39.822Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:13:39.822Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:13:40.562Z] The best model improves the baseline by 14.52%. [2026-03-04T23:13:40.562Z] Top recommended movies for user id 72: [2026-03-04T23:13:40.562Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:13:40.562Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:13:40.562Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:13:40.562Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:13:40.562Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:13:40.562Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (31427.442 ms) ====== [2026-03-04T23:13:41.300Z] ----------------------------------- [2026-03-04T23:13:41.300Z] renaissance-movie-lens_0_PASSED [2026-03-04T23:13:41.300Z] ----------------------------------- [2026-03-04T23:13:41.300Z] [2026-03-04T23:13:41.300Z] TEST TEARDOWN: [2026-03-04T23:13:41.300Z] Nothing to be done for teardown. [2026-03-04T23:13:41.300Z] renaissance-movie-lens_0 Finish Time: Wed Mar 4 23:13:40 2026 Epoch Time (ms): 1772666020859