[2026-02-06T02:08:04.556Z] Running test renaissance-movie-lens_0 ... [2026-02-06T02:08:04.556Z] =============================================== [2026-02-06T02:08:04.556Z] renaissance-movie-lens_0 Start Time: Fri Feb 6 02:08:04 2026 Epoch Time (ms): 1770343684321 [2026-02-06T02:08:04.556Z] variation: NoOptions [2026-02-06T02:08:04.556Z] JVM_OPTIONS: [2026-02-06T02:08:04.556Z] { \ [2026-02-06T02:08:04.556Z] echo ""; echo "TEST SETUP:"; \ [2026-02-06T02:08:04.556Z] echo "Nothing to be done for setup."; \ [2026-02-06T02:08:04.556Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17703424581490/renaissance-movie-lens_0"; \ [2026-02-06T02:08:04.556Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17703424581490/renaissance-movie-lens_0"; \ [2026-02-06T02:08:04.556Z] echo ""; echo "TESTING:"; \ [2026-02-06T02:08:04.556Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_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_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17703424581490/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-06T02:08:04.556Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17703424581490/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-06T02:08:04.556Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-06T02:08:04.556Z] echo "Nothing to be done for teardown."; \ [2026-02-06T02:08:04.556Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17703424581490/TestTargetResult"; [2026-02-06T02:08:04.556Z] [2026-02-06T02:08:04.556Z] TEST SETUP: [2026-02-06T02:08:04.556Z] Nothing to be done for setup. [2026-02-06T02:08:04.556Z] [2026-02-06T02:08:04.556Z] TESTING: [2026-02-06T02:08:04.880Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-06T02:08:04.880Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/output_17703424581490/renaissance-movie-lens_0/launcher-020804-6131441968850849018/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-06T02:08:04.880Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-06T02:08:04.880Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-06T02:08:09.594Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-02-06T02:08:16.820Z] 02:08:16.771 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-02-06T02:08:19.749Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-06T02:08:20.923Z] Training: 60056, validation: 20285, test: 19854 [2026-02-06T02:08:20.923Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-06T02:08:20.923Z] GC before operation: completed in 174.959 ms, heap usage 245.964 MB -> 76.049 MB. [2026-02-06T02:08:29.781Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:08:34.595Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:08:38.352Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:08:42.094Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:08:43.801Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:08:46.081Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:08:47.720Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:08:49.952Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:08:49.952Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T02:08:49.952Z] The best model improves the baseline by 14.34%. [2026-02-06T02:08:50.273Z] Top recommended movies for user id 72: [2026-02-06T02:08:50.273Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T02:08:50.273Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T02:08:50.273Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T02:08:50.273Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T02:08:50.273Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T02:08:50.273Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (29379.040 ms) ====== [2026-02-06T02:08:50.273Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-06T02:08:50.604Z] GC before operation: completed in 183.530 ms, heap usage 193.112 MB -> 87.931 MB. [2026-02-06T02:08:53.532Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:08:57.270Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:08:59.563Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:09:02.494Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:09:03.621Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:09:05.257Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:09:06.886Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:09:09.111Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:09:09.111Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T02:09:09.111Z] The best model improves the baseline by 14.34%. [2026-02-06T02:09:09.111Z] Top recommended movies for user id 72: [2026-02-06T02:09:09.111Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T02:09:09.111Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T02:09:09.111Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T02:09:09.111Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T02:09:09.111Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T02:09:09.111Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18632.917 ms) ====== [2026-02-06T02:09:09.111Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-06T02:09:09.434Z] GC before operation: completed in 169.621 ms, heap usage 219.664 MB -> 87.572 MB. [2026-02-06T02:09:12.355Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:09:14.582Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:09:17.506Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:09:20.434Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:09:21.566Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:09:23.245Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:09:25.475Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:09:27.107Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:09:27.107Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T02:09:27.107Z] The best model improves the baseline by 14.34%. [2026-02-06T02:09:27.431Z] Top recommended movies for user id 72: [2026-02-06T02:09:27.431Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T02:09:27.431Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T02:09:27.431Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T02:09:27.431Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T02:09:27.431Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T02:09:27.431Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (18035.510 ms) ====== [2026-02-06T02:09:27.431Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-06T02:09:27.431Z] GC before operation: completed in 174.692 ms, heap usage 618.654 MB -> 92.079 MB. [2026-02-06T02:09:30.358Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:09:32.584Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:09:35.502Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:09:37.729Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:09:39.365Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:09:40.996Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:09:42.635Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:09:44.361Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:09:44.361Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T02:09:44.361Z] The best model improves the baseline by 14.34%. [2026-02-06T02:09:44.687Z] Top recommended movies for user id 72: [2026-02-06T02:09:44.687Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T02:09:44.687Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T02:09:44.687Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T02:09:44.687Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T02:09:44.687Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T02:09:44.687Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16984.448 ms) ====== [2026-02-06T02:09:44.687Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-06T02:09:44.687Z] GC before operation: completed in 162.881 ms, heap usage 153.270 MB -> 88.384 MB. [2026-02-06T02:09:47.617Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:09:50.539Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:09:52.776Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:09:55.013Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:09:56.651Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:09:58.289Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:09:59.930Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:10:01.104Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:10:01.429Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T02:10:01.429Z] The best model improves the baseline by 14.34%. [2026-02-06T02:10:01.756Z] Top recommended movies for user id 72: [2026-02-06T02:10:01.756Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T02:10:01.756Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T02:10:01.756Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T02:10:01.756Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T02:10:01.756Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T02:10:01.756Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16965.121 ms) ====== [2026-02-06T02:10:01.756Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-06T02:10:01.756Z] GC before operation: completed in 163.910 ms, heap usage 115.910 MB -> 88.463 MB. [2026-02-06T02:10:04.696Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:10:06.998Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:10:09.925Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:10:12.164Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:10:13.295Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:10:14.935Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:10:16.571Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:10:17.702Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:10:18.027Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T02:10:18.027Z] The best model improves the baseline by 14.34%. [2026-02-06T02:10:18.353Z] Top recommended movies for user id 72: [2026-02-06T02:10:18.354Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T02:10:18.354Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T02:10:18.354Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T02:10:18.354Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T02:10:18.354Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T02:10:18.354Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16363.219 ms) ====== [2026-02-06T02:10:18.354Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-06T02:10:18.354Z] GC before operation: completed in 170.453 ms, heap usage 213.572 MB -> 88.821 MB. [2026-02-06T02:10:21.282Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:10:23.517Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:10:25.745Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:10:28.738Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:10:30.382Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:10:32.016Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:10:33.653Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:10:35.290Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:10:35.290Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T02:10:35.290Z] The best model improves the baseline by 14.34%. [2026-02-06T02:10:35.618Z] Top recommended movies for user id 72: [2026-02-06T02:10:35.618Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T02:10:35.618Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T02:10:35.618Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T02:10:35.618Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T02:10:35.618Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T02:10:35.618Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (17193.539 ms) ====== [2026-02-06T02:10:35.618Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-06T02:10:35.618Z] GC before operation: completed in 155.519 ms, heap usage 205.474 MB -> 88.730 MB. [2026-02-06T02:10:38.535Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:10:40.766Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:10:43.001Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:10:45.235Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:10:46.369Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:10:48.008Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:10:49.685Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:10:51.323Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:10:51.323Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T02:10:51.323Z] The best model improves the baseline by 14.34%. [2026-02-06T02:10:51.323Z] Top recommended movies for user id 72: [2026-02-06T02:10:51.323Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T02:10:51.323Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T02:10:51.323Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T02:10:51.323Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T02:10:51.323Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T02:10:51.323Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15672.138 ms) ====== [2026-02-06T02:10:51.323Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-06T02:10:51.645Z] GC before operation: completed in 170.332 ms, heap usage 654.704 MB -> 92.974 MB. [2026-02-06T02:10:53.869Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:10:56.782Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:10:59.023Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:11:01.264Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:11:02.904Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:11:04.539Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:11:05.669Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:11:07.308Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:11:07.632Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T02:11:07.632Z] The best model improves the baseline by 14.34%. [2026-02-06T02:11:07.959Z] Top recommended movies for user id 72: [2026-02-06T02:11:07.959Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T02:11:07.959Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T02:11:07.959Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T02:11:07.959Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T02:11:07.959Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T02:11:07.959Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (16250.833 ms) ====== [2026-02-06T02:11:07.959Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-06T02:11:07.959Z] GC before operation: completed in 164.351 ms, heap usage 563.919 MB -> 92.569 MB. [2026-02-06T02:11:10.883Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:11:13.201Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:11:15.589Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:11:17.836Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:11:18.989Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:11:20.653Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:11:22.299Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:11:23.434Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:11:23.759Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T02:11:23.759Z] The best model improves the baseline by 14.34%. [2026-02-06T02:11:24.087Z] Top recommended movies for user id 72: [2026-02-06T02:11:24.087Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T02:11:24.087Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T02:11:24.087Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T02:11:24.087Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T02:11:24.087Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T02:11:24.087Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15927.961 ms) ====== [2026-02-06T02:11:24.087Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-06T02:11:24.087Z] GC before operation: completed in 151.291 ms, heap usage 160.858 MB -> 88.876 MB. [2026-02-06T02:11:27.015Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:11:29.249Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:11:32.289Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:11:34.587Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:11:36.222Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:11:38.448Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:11:40.088Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:11:41.727Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:11:42.048Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T02:11:42.048Z] The best model improves the baseline by 14.34%. [2026-02-06T02:11:42.048Z] Top recommended movies for user id 72: [2026-02-06T02:11:42.048Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T02:11:42.048Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T02:11:42.048Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T02:11:42.048Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T02:11:42.048Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T02:11:42.048Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18059.157 ms) ====== [2026-02-06T02:11:42.048Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-06T02:11:42.371Z] GC before operation: completed in 153.501 ms, heap usage 398.367 MB -> 89.063 MB. [2026-02-06T02:11:45.285Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:11:47.509Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:11:50.431Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:11:52.656Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:11:54.295Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:11:55.985Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:11:57.628Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:11:59.260Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:11:59.583Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T02:11:59.583Z] The best model improves the baseline by 14.34%. [2026-02-06T02:11:59.583Z] Top recommended movies for user id 72: [2026-02-06T02:11:59.583Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T02:11:59.583Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T02:11:59.583Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T02:11:59.583Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T02:11:59.583Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T02:11:59.583Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (17458.749 ms) ====== [2026-02-06T02:11:59.583Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-06T02:11:59.908Z] GC before operation: completed in 150.247 ms, heap usage 156.007 MB -> 88.922 MB. [2026-02-06T02:12:02.836Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:12:05.065Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:12:07.305Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:12:09.525Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:12:11.171Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:12:12.807Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:12:13.931Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:12:15.565Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:12:15.565Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T02:12:15.890Z] The best model improves the baseline by 14.34%. [2026-02-06T02:12:15.890Z] Top recommended movies for user id 72: [2026-02-06T02:12:15.890Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T02:12:15.890Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T02:12:15.890Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T02:12:15.890Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T02:12:15.890Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T02:12:15.890Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15979.523 ms) ====== [2026-02-06T02:12:15.890Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-06T02:12:15.890Z] GC before operation: completed in 155.914 ms, heap usage 245.284 MB -> 89.129 MB. [2026-02-06T02:12:18.913Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:12:21.834Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:12:24.061Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:12:26.282Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:12:27.412Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:12:29.042Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:12:30.168Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:12:31.815Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:12:31.815Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T02:12:31.815Z] The best model improves the baseline by 14.34%. [2026-02-06T02:12:32.139Z] Top recommended movies for user id 72: [2026-02-06T02:12:32.139Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T02:12:32.139Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T02:12:32.139Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T02:12:32.139Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T02:12:32.139Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T02:12:32.139Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (16056.786 ms) ====== [2026-02-06T02:12:32.139Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-06T02:12:32.139Z] GC before operation: completed in 160.611 ms, heap usage 506.053 MB -> 92.576 MB. [2026-02-06T02:12:35.052Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:12:37.276Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:12:39.521Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:12:41.767Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:12:42.902Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:12:44.534Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:12:45.662Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:12:47.293Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:12:47.293Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T02:12:47.293Z] The best model improves the baseline by 14.34%. [2026-02-06T02:12:47.617Z] Top recommended movies for user id 72: [2026-02-06T02:12:47.617Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T02:12:47.617Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T02:12:47.617Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T02:12:47.617Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T02:12:47.617Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T02:12:47.617Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15318.945 ms) ====== [2026-02-06T02:12:47.617Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-06T02:12:47.617Z] GC before operation: completed in 150.866 ms, heap usage 309.669 MB -> 89.330 MB. [2026-02-06T02:12:50.537Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:12:52.756Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:12:54.977Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:12:57.202Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:12:58.331Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:12:59.457Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:13:01.175Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:13:02.804Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:13:02.804Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T02:13:02.804Z] The best model improves the baseline by 14.34%. [2026-02-06T02:13:03.126Z] Top recommended movies for user id 72: [2026-02-06T02:13:03.126Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T02:13:03.126Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T02:13:03.126Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T02:13:03.126Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T02:13:03.126Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T02:13:03.126Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15294.245 ms) ====== [2026-02-06T02:13:03.126Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-06T02:13:03.126Z] GC before operation: completed in 157.910 ms, heap usage 420.594 MB -> 89.279 MB. [2026-02-06T02:13:05.355Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:13:08.274Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:13:10.497Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:13:12.717Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:13:13.847Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:13:15.480Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:13:17.113Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:13:18.242Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:13:18.565Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T02:13:18.565Z] The best model improves the baseline by 14.34%. [2026-02-06T02:13:18.565Z] Top recommended movies for user id 72: [2026-02-06T02:13:18.565Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T02:13:18.565Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T02:13:18.565Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T02:13:18.565Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T02:13:18.565Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T02:13:18.565Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15451.077 ms) ====== [2026-02-06T02:13:18.565Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-06T02:13:18.894Z] GC before operation: completed in 150.657 ms, heap usage 358.367 MB -> 89.342 MB. [2026-02-06T02:13:21.123Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:13:23.428Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:13:25.651Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:13:27.872Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:13:29.503Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:13:30.634Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:13:32.268Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:13:33.396Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:13:33.719Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T02:13:33.719Z] The best model improves the baseline by 14.34%. [2026-02-06T02:13:33.719Z] Top recommended movies for user id 72: [2026-02-06T02:13:33.719Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T02:13:33.719Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T02:13:33.719Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T02:13:33.719Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T02:13:33.719Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T02:13:33.719Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15086.197 ms) ====== [2026-02-06T02:13:33.719Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-06T02:13:34.046Z] GC before operation: completed in 154.820 ms, heap usage 195.716 MB -> 88.916 MB. [2026-02-06T02:13:36.272Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:13:39.190Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:13:41.418Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:13:43.056Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:13:44.777Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:13:45.909Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:13:47.540Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:13:49.177Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:13:49.177Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T02:13:49.177Z] The best model improves the baseline by 14.34%. [2026-02-06T02:13:49.502Z] Top recommended movies for user id 72: [2026-02-06T02:13:49.502Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T02:13:49.502Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T02:13:49.502Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T02:13:49.502Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T02:13:49.502Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T02:13:49.502Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15327.422 ms) ====== [2026-02-06T02:13:49.502Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-06T02:13:49.502Z] GC before operation: completed in 161.308 ms, heap usage 619.100 MB -> 92.904 MB. [2026-02-06T02:13:51.732Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:13:53.964Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:13:56.885Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:13:58.544Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:14:00.179Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:14:01.311Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:14:02.945Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:14:04.074Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:14:04.406Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-06T02:14:04.406Z] The best model improves the baseline by 14.34%. [2026-02-06T02:14:04.406Z] Top recommended movies for user id 72: [2026-02-06T02:14:04.406Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-06T02:14:04.406Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-06T02:14:04.406Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-06T02:14:04.406Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-06T02:14:04.406Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-06T02:14:04.406Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14952.897 ms) ====== [2026-02-06T02:14:04.778Z] ----------------------------------- [2026-02-06T02:14:04.778Z] renaissance-movie-lens_0_PASSED [2026-02-06T02:14:04.778Z] ----------------------------------- [2026-02-06T02:14:04.778Z] [2026-02-06T02:14:04.778Z] TEST TEARDOWN: [2026-02-06T02:14:04.778Z] Nothing to be done for teardown. [2026-02-06T02:14:04.778Z] renaissance-movie-lens_0 Finish Time: Fri Feb 6 02:14:04 2026 Epoch Time (ms): 1770344044674