[2025-10-22T18:11:02.483Z] Running test renaissance-movie-lens_0 ... [2025-10-22T18:11:02.483Z] =============================================== [2025-10-22T18:11:02.483Z] renaissance-movie-lens_0 Start Time: Wed Oct 22 18:11:01 2025 Epoch Time (ms): 1761156661691 [2025-10-22T18:11:02.483Z] variation: NoOptions [2025-10-22T18:11:02.483Z] JVM_OPTIONS: [2025-10-22T18:11:02.483Z] { \ [2025-10-22T18:11:02.483Z] echo ""; echo "TEST SETUP:"; \ [2025-10-22T18:11:02.483Z] echo "Nothing to be done for setup."; \ [2025-10-22T18:11:02.483Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux_testList_1/aqa-tests/TKG/../TKG/output_17611555014445/renaissance-movie-lens_0"; \ [2025-10-22T18:11:02.483Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux_testList_1/aqa-tests/TKG/../TKG/output_17611555014445/renaissance-movie-lens_0"; \ [2025-10-22T18:11:02.483Z] echo ""; echo "TESTING:"; \ [2025-10-22T18:11:02.483Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux_testList_1/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_s390x_linux_testList_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux_testList_1/aqa-tests/TKG/../TKG/output_17611555014445/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-10-22T18:11:02.483Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux_testList_1/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux_testList_1/aqa-tests/TKG/../TKG/output_17611555014445/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-10-22T18:11:02.483Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-10-22T18:11:02.483Z] echo "Nothing to be done for teardown."; \ [2025-10-22T18:11:02.483Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux_testList_1/aqa-tests/TKG/../TKG/output_17611555014445/TestTargetResult"; [2025-10-22T18:11:02.483Z] [2025-10-22T18:11:02.483Z] TEST SETUP: [2025-10-22T18:11:02.483Z] Nothing to be done for setup. [2025-10-22T18:11:02.483Z] [2025-10-22T18:11:02.483Z] TESTING: [2025-10-22T18:11:02.483Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-10-22T18:11:02.483Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux_testList_1/aqa-tests/TKG/output_17611555014445/renaissance-movie-lens_0/launcher-181101-12487052902398677137/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-10-22T18:11:02.483Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-10-22T18:11:02.483Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-10-22T18:11:06.235Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-10-22T18:11:10.993Z] 18:11:10.712 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2025-10-22T18:11:13.372Z] Got 100004 ratings from 671 users on 9066 movies. [2025-10-22T18:11:13.372Z] Training: 60056, validation: 20285, test: 19854 [2025-10-22T18:11:13.372Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-10-22T18:11:13.992Z] GC before operation: completed in 175.015 ms, heap usage 216.451 MB -> 75.812 MB. [2025-10-22T18:11:18.684Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T18:11:22.391Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T18:11:25.257Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T18:11:28.196Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T18:11:30.215Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T18:11:31.508Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T18:11:33.529Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T18:11:34.843Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T18:11:34.843Z] 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. [2025-10-22T18:11:34.843Z] The best model improves the baseline by 14.34%. [2025-10-22T18:11:34.843Z] Top recommended movies for user id 72: [2025-10-22T18:11:34.843Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-22T18:11:34.843Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-22T18:11:34.843Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-22T18:11:34.843Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-22T18:11:34.843Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-22T18:11:34.843Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (21300.344 ms) ====== [2025-10-22T18:11:34.843Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-10-22T18:11:35.461Z] GC before operation: completed in 207.313 ms, heap usage 207.636 MB -> 102.600 MB. [2025-10-22T18:11:38.276Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T18:11:52.593Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T18:11:52.593Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T18:11:53.309Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T18:11:53.309Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T18:11:53.309Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T18:11:53.309Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T18:11:53.309Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T18:11:53.310Z] 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. [2025-10-22T18:11:53.310Z] The best model improves the baseline by 14.34%. [2025-10-22T18:11:53.310Z] Top recommended movies for user id 72: [2025-10-22T18:11:53.310Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-22T18:11:53.310Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-22T18:11:53.310Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-22T18:11:53.310Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-22T18:11:53.310Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-22T18:11:53.310Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16026.266 ms) ====== [2025-10-22T18:11:53.310Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-10-22T18:11:53.310Z] GC before operation: completed in 122.116 ms, heap usage 316.905 MB -> 87.864 MB. [2025-10-22T18:11:53.936Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T18:11:55.972Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T18:11:58.842Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T18:12:00.874Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T18:12:02.174Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T18:12:03.462Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T18:12:05.486Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T18:12:06.107Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T18:12:06.728Z] 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. [2025-10-22T18:12:06.728Z] The best model improves the baseline by 14.34%. [2025-10-22T18:12:06.728Z] Top recommended movies for user id 72: [2025-10-22T18:12:06.728Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-22T18:12:06.728Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-22T18:12:06.728Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-22T18:12:06.728Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-22T18:12:06.728Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-22T18:12:06.728Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15369.208 ms) ====== [2025-10-22T18:12:06.728Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-10-22T18:12:06.728Z] GC before operation: completed in 152.824 ms, heap usage 174.804 MB -> 88.312 MB. [2025-10-22T18:12:09.922Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T18:12:11.962Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T18:12:13.984Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T18:12:16.810Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T18:12:17.436Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T18:12:18.835Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T18:12:20.870Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T18:12:22.182Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T18:12:22.182Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-22T18:12:22.182Z] The best model improves the baseline by 14.34%. [2025-10-22T18:12:22.182Z] Top recommended movies for user id 72: [2025-10-22T18:12:22.182Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-22T18:12:22.182Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-22T18:12:22.182Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-22T18:12:22.182Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-22T18:12:22.182Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-22T18:12:22.182Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15218.362 ms) ====== [2025-10-22T18:12:22.182Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-10-22T18:12:22.182Z] GC before operation: completed in 179.781 ms, heap usage 348.509 MB -> 89.035 MB. [2025-10-22T18:12:25.016Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T18:12:27.042Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T18:12:29.869Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T18:12:31.686Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T18:12:33.713Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T18:12:35.012Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T18:12:37.035Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T18:12:38.338Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T18:12:38.338Z] 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. [2025-10-22T18:12:38.338Z] The best model improves the baseline by 14.34%. [2025-10-22T18:12:38.978Z] Top recommended movies for user id 72: [2025-10-22T18:12:38.978Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-22T18:12:38.978Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-22T18:12:38.978Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-22T18:12:38.978Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-22T18:12:38.978Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-22T18:12:38.978Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16342.439 ms) ====== [2025-10-22T18:12:38.978Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-10-22T18:12:38.978Z] GC before operation: completed in 187.915 ms, heap usage 215.938 MB -> 88.701 MB. [2025-10-22T18:12:41.806Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T18:12:43.832Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T18:12:46.773Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T18:12:48.919Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T18:12:50.222Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T18:12:51.665Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T18:12:53.801Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T18:12:55.204Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T18:12:55.204Z] 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. [2025-10-22T18:12:55.204Z] The best model improves the baseline by 14.34%. [2025-10-22T18:12:55.204Z] Top recommended movies for user id 72: [2025-10-22T18:12:55.204Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-22T18:12:55.204Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-22T18:12:55.204Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-22T18:12:55.204Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-22T18:12:55.204Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-22T18:12:55.204Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16496.200 ms) ====== [2025-10-22T18:12:55.204Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-10-22T18:12:55.937Z] GC before operation: completed in 161.233 ms, heap usage 175.858 MB -> 88.931 MB. [2025-10-22T18:12:57.953Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T18:13:00.000Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T18:13:02.833Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T18:13:04.857Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T18:13:06.921Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T18:13:07.547Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T18:13:08.939Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T18:13:10.614Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T18:13:11.249Z] 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. [2025-10-22T18:13:11.249Z] The best model improves the baseline by 14.34%. [2025-10-22T18:13:11.249Z] Top recommended movies for user id 72: [2025-10-22T18:13:11.249Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-22T18:13:11.249Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-22T18:13:11.249Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-22T18:13:11.249Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-22T18:13:11.249Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-22T18:13:11.249Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15523.759 ms) ====== [2025-10-22T18:13:11.249Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-10-22T18:13:11.249Z] GC before operation: completed in 157.462 ms, heap usage 167.095 MB -> 88.910 MB. [2025-10-22T18:13:13.273Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T18:13:16.101Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T18:13:18.938Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T18:13:21.080Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T18:13:22.577Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T18:13:23.958Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T18:13:25.352Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T18:13:26.734Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T18:13:26.734Z] 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. [2025-10-22T18:13:26.734Z] The best model improves the baseline by 14.34%. [2025-10-22T18:13:26.734Z] Top recommended movies for user id 72: [2025-10-22T18:13:26.734Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-22T18:13:26.734Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-22T18:13:26.734Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-22T18:13:26.734Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-22T18:13:26.734Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-22T18:13:26.734Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15714.918 ms) ====== [2025-10-22T18:13:26.734Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-10-22T18:13:27.384Z] GC before operation: completed in 194.154 ms, heap usage 223.106 MB -> 89.261 MB. [2025-10-22T18:13:29.527Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T18:13:32.349Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T18:13:35.199Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T18:13:37.242Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T18:13:38.600Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T18:13:39.219Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T18:13:41.238Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T18:13:42.546Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T18:13:42.546Z] 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. [2025-10-22T18:13:42.546Z] The best model improves the baseline by 14.34%. [2025-10-22T18:13:42.546Z] Top recommended movies for user id 72: [2025-10-22T18:13:42.546Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-22T18:13:42.546Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-22T18:13:42.546Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-22T18:13:42.546Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-22T18:13:42.546Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-22T18:13:42.546Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15585.711 ms) ====== [2025-10-22T18:13:42.546Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-10-22T18:13:43.165Z] GC before operation: completed in 120.901 ms, heap usage 230.764 MB -> 89.133 MB. [2025-10-22T18:13:45.201Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T18:13:47.239Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T18:13:50.342Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T18:13:51.633Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T18:13:53.350Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T18:13:54.659Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T18:13:55.958Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T18:13:58.003Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T18:13:58.003Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-22T18:13:58.003Z] The best model improves the baseline by 14.34%. [2025-10-22T18:13:58.623Z] Top recommended movies for user id 72: [2025-10-22T18:13:58.623Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-22T18:13:58.623Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-22T18:13:58.623Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-22T18:13:58.623Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-22T18:13:58.623Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-22T18:13:58.623Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15448.512 ms) ====== [2025-10-22T18:13:58.623Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-10-22T18:13:58.623Z] GC before operation: completed in 159.078 ms, heap usage 220.536 MB -> 89.246 MB. [2025-10-22T18:14:00.703Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T18:14:03.646Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T18:14:05.741Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T18:14:07.805Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T18:14:09.111Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T18:14:10.439Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T18:14:12.607Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T18:14:13.968Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T18:14:13.968Z] 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. [2025-10-22T18:14:13.968Z] The best model improves the baseline by 14.34%. [2025-10-22T18:14:13.968Z] Top recommended movies for user id 72: [2025-10-22T18:14:13.968Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-22T18:14:13.968Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-22T18:14:13.968Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-22T18:14:13.968Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-22T18:14:13.968Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-22T18:14:13.968Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15717.702 ms) ====== [2025-10-22T18:14:13.968Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-10-22T18:14:14.605Z] GC before operation: completed in 171.186 ms, heap usage 257.370 MB -> 89.090 MB. [2025-10-22T18:14:16.687Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T18:14:19.795Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T18:14:22.703Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T18:14:25.629Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T18:14:27.727Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T18:14:29.739Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T18:14:31.928Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T18:14:33.382Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T18:14:34.056Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-22T18:14:34.056Z] The best model improves the baseline by 14.34%. [2025-10-22T18:14:34.056Z] Top recommended movies for user id 72: [2025-10-22T18:14:34.056Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-22T18:14:34.056Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-22T18:14:34.056Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-22T18:14:34.056Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-22T18:14:34.056Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-22T18:14:34.056Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19677.658 ms) ====== [2025-10-22T18:14:34.056Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-10-22T18:14:34.056Z] GC before operation: completed in 205.425 ms, heap usage 301.311 MB -> 89.355 MB. [2025-10-22T18:14:38.006Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T18:14:41.004Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T18:14:44.992Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T18:14:47.997Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T18:14:50.123Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T18:14:52.185Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T18:14:54.260Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T18:14:55.575Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T18:14:56.201Z] 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. [2025-10-22T18:14:56.201Z] The best model improves the baseline by 14.34%. [2025-10-22T18:14:56.201Z] Top recommended movies for user id 72: [2025-10-22T18:14:56.201Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-22T18:14:56.201Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-22T18:14:56.201Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-22T18:14:56.201Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-22T18:14:56.201Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-22T18:14:56.201Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (22057.285 ms) ====== [2025-10-22T18:14:56.201Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-10-22T18:14:56.201Z] GC before operation: completed in 189.722 ms, heap usage 190.560 MB -> 89.284 MB. [2025-10-22T18:14:59.994Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T18:15:02.890Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T18:15:06.682Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T18:15:09.624Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T18:15:11.211Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T18:15:13.238Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T18:15:14.529Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T18:15:17.768Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T18:15:17.768Z] 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. [2025-10-22T18:15:17.768Z] The best model improves the baseline by 14.34%. [2025-10-22T18:15:17.768Z] Top recommended movies for user id 72: [2025-10-22T18:15:17.768Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-22T18:15:17.768Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-22T18:15:17.768Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-22T18:15:17.768Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-22T18:15:17.768Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-22T18:15:17.768Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20260.273 ms) ====== [2025-10-22T18:15:17.768Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-10-22T18:15:17.768Z] GC before operation: completed in 163.839 ms, heap usage 262.955 MB -> 89.205 MB. [2025-10-22T18:15:19.796Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T18:15:22.661Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T18:15:25.539Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T18:15:28.408Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T18:15:29.697Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T18:15:31.727Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T18:15:33.766Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T18:15:35.059Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T18:15:35.059Z] 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. [2025-10-22T18:15:35.059Z] The best model improves the baseline by 14.34%. [2025-10-22T18:15:36.191Z] Top recommended movies for user id 72: [2025-10-22T18:15:36.191Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-22T18:15:36.191Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-22T18:15:36.191Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-22T18:15:36.191Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-22T18:15:36.191Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-22T18:15:36.191Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18514.622 ms) ====== [2025-10-22T18:15:36.191Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-10-22T18:15:36.191Z] GC before operation: completed in 144.536 ms, heap usage 98.963 MB -> 89.618 MB. [2025-10-22T18:15:38.002Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T18:15:40.930Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T18:15:44.821Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T18:15:47.737Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T18:15:49.080Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T18:15:51.172Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T18:15:53.272Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T18:15:54.685Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T18:15:59.046Z] 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. [2025-10-22T18:15:59.046Z] The best model improves the baseline by 14.34%. [2025-10-22T18:15:59.046Z] Top recommended movies for user id 72: [2025-10-22T18:15:59.046Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-22T18:15:59.046Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-22T18:15:59.046Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-22T18:15:59.046Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-22T18:15:59.046Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-22T18:15:59.046Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19673.510 ms) ====== [2025-10-22T18:15:59.046Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-10-22T18:15:59.046Z] GC before operation: completed in 236.603 ms, heap usage 240.573 MB -> 89.281 MB. [2025-10-22T18:15:59.046Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T18:16:01.084Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T18:16:04.027Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T18:16:06.097Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T18:16:08.234Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T18:16:09.562Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T18:16:11.623Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T18:16:12.941Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T18:16:13.586Z] 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. [2025-10-22T18:16:13.586Z] The best model improves the baseline by 14.34%. [2025-10-22T18:16:13.586Z] Top recommended movies for user id 72: [2025-10-22T18:16:13.586Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-22T18:16:13.586Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-22T18:16:13.586Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-22T18:16:13.586Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-22T18:16:13.586Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-22T18:16:13.586Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18073.199 ms) ====== [2025-10-22T18:16:13.586Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-10-22T18:16:13.586Z] GC before operation: completed in 186.201 ms, heap usage 198.128 MB -> 89.318 MB. [2025-10-22T18:16:16.472Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T18:16:19.467Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T18:16:21.607Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T18:16:24.465Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T18:16:25.776Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T18:16:27.077Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T18:16:29.158Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T18:16:30.468Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T18:16:31.110Z] 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. [2025-10-22T18:16:31.110Z] The best model improves the baseline by 14.34%. [2025-10-22T18:16:31.110Z] Top recommended movies for user id 72: [2025-10-22T18:16:31.110Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-22T18:16:31.110Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-22T18:16:31.110Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-22T18:16:31.110Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-22T18:16:31.110Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-22T18:16:31.110Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (17268.927 ms) ====== [2025-10-22T18:16:31.110Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-10-22T18:16:31.110Z] GC before operation: completed in 171.129 ms, heap usage 203.523 MB -> 89.127 MB. [2025-10-22T18:16:34.017Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T18:16:36.048Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T18:16:39.266Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T18:16:41.296Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T18:16:42.608Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T18:16:43.897Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T18:16:45.953Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T18:16:47.256Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T18:16:47.256Z] 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. [2025-10-22T18:16:47.256Z] The best model improves the baseline by 14.34%. [2025-10-22T18:16:48.207Z] Top recommended movies for user id 72: [2025-10-22T18:16:48.207Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-22T18:16:48.207Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-22T18:16:48.207Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-22T18:16:48.207Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-22T18:16:48.207Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-22T18:16:48.207Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (16458.222 ms) ====== [2025-10-22T18:16:48.207Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-10-22T18:16:48.207Z] GC before operation: completed in 155.102 ms, heap usage 224.035 MB -> 89.287 MB. [2025-10-22T18:16:50.283Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T18:16:52.319Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T18:16:55.249Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T18:16:57.284Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T18:16:58.583Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T18:17:00.013Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T18:17:01.423Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T18:17:03.464Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T18:17:03.464Z] 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. [2025-10-22T18:17:03.464Z] The best model improves the baseline by 14.34%. [2025-10-22T18:17:04.099Z] Top recommended movies for user id 72: [2025-10-22T18:17:04.099Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-22T18:17:04.099Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-22T18:17:04.100Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-22T18:17:04.100Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-22T18:17:04.100Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-22T18:17:04.100Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15992.565 ms) ====== [2025-10-22T18:17:04.100Z] ----------------------------------- [2025-10-22T18:17:04.100Z] renaissance-movie-lens_0_PASSED [2025-10-22T18:17:04.100Z] ----------------------------------- [2025-10-22T18:17:04.100Z] [2025-10-22T18:17:04.100Z] TEST TEARDOWN: [2025-10-22T18:17:04.100Z] Nothing to be done for teardown. [2025-10-22T18:17:04.100Z] renaissance-movie-lens_0 Finish Time: Wed Oct 22 18:17:03 2025 Epoch Time (ms): 1761157023991