[2025-10-15T22:34:06.953Z] Running test renaissance-movie-lens_0 ... [2025-10-15T22:34:06.953Z] =============================================== [2025-10-15T22:34:06.953Z] renaissance-movie-lens_0 Start Time: Wed Oct 15 22:34:06 2025 Epoch Time (ms): 1760567646602 [2025-10-15T22:34:06.953Z] variation: NoOptions [2025-10-15T22:34:06.953Z] JVM_OPTIONS: [2025-10-15T22:34:06.953Z] { \ [2025-10-15T22:34:06.953Z] echo ""; echo "TEST SETUP:"; \ [2025-10-15T22:34:06.953Z] echo "Nothing to be done for setup."; \ [2025-10-15T22:34:06.953Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17605652764535/renaissance-movie-lens_0"; \ [2025-10-15T22:34:06.953Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17605652764535/renaissance-movie-lens_0"; \ [2025-10-15T22:34:06.953Z] echo ""; echo "TESTING:"; \ [2025-10-15T22:34:06.953Z] "/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_17605652764535/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-10-15T22:34:06.953Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17605652764535/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-10-15T22:34:06.953Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-10-15T22:34:06.953Z] echo "Nothing to be done for teardown."; \ [2025-10-15T22:34:06.953Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17605652764535/TestTargetResult"; [2025-10-15T22:34:06.953Z] [2025-10-15T22:34:06.953Z] TEST SETUP: [2025-10-15T22:34:06.953Z] Nothing to be done for setup. [2025-10-15T22:34:06.953Z] [2025-10-15T22:34:06.953Z] TESTING: [2025-10-15T22:34:07.288Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-10-15T22:34:07.288Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/output_17605652764535/renaissance-movie-lens_0/launcher-223406-16116812740866673389/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-10-15T22:34:07.288Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-10-15T22:34:07.288Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-10-15T22:34:12.061Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-10-15T22:34:20.986Z] 22:34:19.713 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. [2025-10-15T22:34:22.761Z] Got 100004 ratings from 671 users on 9066 movies. [2025-10-15T22:34:23.480Z] Training: 60056, validation: 20285, test: 19854 [2025-10-15T22:34:23.480Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-10-15T22:34:23.815Z] GC before operation: completed in 168.847 ms, heap usage 256.202 MB -> 75.334 MB. [2025-10-15T22:34:31.151Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-15T22:34:35.937Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-15T22:34:39.747Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-15T22:34:42.752Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-15T22:34:45.031Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-15T22:34:47.303Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-15T22:34:49.058Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-15T22:34:51.321Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-15T22:34:51.321Z] 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. [2025-10-15T22:34:51.321Z] The best model improves the baseline by 14.34%. [2025-10-15T22:34:51.659Z] Top recommended movies for user id 72: [2025-10-15T22:34:51.659Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-15T22:34:51.659Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-15T22:34:51.659Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-15T22:34:51.659Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-15T22:34:51.659Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-15T22:34:51.659Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (27864.234 ms) ====== [2025-10-15T22:34:51.659Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-10-15T22:34:51.659Z] GC before operation: completed in 183.745 ms, heap usage 394.672 MB -> 88.043 MB. [2025-10-15T22:34:54.631Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-15T22:34:57.674Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-15T22:34:59.954Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-15T22:35:02.939Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-15T22:35:04.097Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-15T22:35:05.772Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-15T22:35:07.442Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-15T22:35:09.115Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-15T22:35:09.115Z] 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. [2025-10-15T22:35:09.115Z] The best model improves the baseline by 14.34%. [2025-10-15T22:35:09.449Z] Top recommended movies for user id 72: [2025-10-15T22:35:09.449Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-15T22:35:09.449Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-15T22:35:09.449Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-15T22:35:09.449Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-15T22:35:09.449Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-15T22:35:09.449Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17678.644 ms) ====== [2025-10-15T22:35:09.449Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-10-15T22:35:09.449Z] GC before operation: completed in 171.384 ms, heap usage 359.493 MB -> 87.724 MB. [2025-10-15T22:35:12.520Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-15T22:35:14.795Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-15T22:35:17.771Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-15T22:35:20.043Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-15T22:35:21.727Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-15T22:35:22.885Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-15T22:35:25.162Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-15T22:35:26.835Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-15T22:35:26.835Z] 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. [2025-10-15T22:35:26.835Z] The best model improves the baseline by 14.34%. [2025-10-15T22:35:27.171Z] Top recommended movies for user id 72: [2025-10-15T22:35:27.171Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-15T22:35:27.171Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-15T22:35:27.171Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-15T22:35:27.171Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-15T22:35:27.171Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-15T22:35:27.171Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17468.874 ms) ====== [2025-10-15T22:35:27.171Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-10-15T22:35:27.171Z] GC before operation: completed in 164.440 ms, heap usage 181.577 MB -> 88.067 MB. [2025-10-15T22:35:30.152Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-15T22:35:32.419Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-15T22:35:34.705Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-15T22:35:36.975Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-15T22:35:38.646Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-15T22:35:39.797Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-15T22:35:41.466Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-15T22:35:43.138Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-15T22:35:43.138Z] 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. [2025-10-15T22:35:43.138Z] The best model improves the baseline by 14.34%. [2025-10-15T22:35:43.473Z] Top recommended movies for user id 72: [2025-10-15T22:35:43.473Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-15T22:35:43.473Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-15T22:35:43.473Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-15T22:35:43.473Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-15T22:35:43.473Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-15T22:35:43.473Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16143.416 ms) ====== [2025-10-15T22:35:43.473Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-10-15T22:35:43.473Z] GC before operation: completed in 167.959 ms, heap usage 508.700 MB -> 92.094 MB. [2025-10-15T22:35:46.447Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-15T22:35:48.741Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-15T22:35:51.001Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-15T22:35:53.286Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-15T22:35:54.953Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-15T22:35:56.222Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-15T22:35:57.900Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-15T22:35:59.092Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-15T22:35:59.427Z] 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. [2025-10-15T22:35:59.427Z] The best model improves the baseline by 14.34%. [2025-10-15T22:35:59.766Z] Top recommended movies for user id 72: [2025-10-15T22:35:59.766Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-15T22:35:59.766Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-15T22:35:59.766Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-15T22:35:59.766Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-15T22:35:59.766Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-15T22:35:59.767Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16098.219 ms) ====== [2025-10-15T22:35:59.767Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-10-15T22:35:59.767Z] GC before operation: completed in 166.556 ms, heap usage 423.742 MB -> 88.784 MB. [2025-10-15T22:36:02.737Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-15T22:36:04.998Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-15T22:36:07.266Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-15T22:36:09.529Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-15T22:36:10.681Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-15T22:36:12.345Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-15T22:36:13.501Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-15T22:36:15.172Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-15T22:36:15.503Z] 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. [2025-10-15T22:36:15.503Z] The best model improves the baseline by 14.34%. [2025-10-15T22:36:15.503Z] Top recommended movies for user id 72: [2025-10-15T22:36:15.503Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-15T22:36:15.503Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-15T22:36:15.503Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-15T22:36:15.503Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-15T22:36:15.503Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-15T22:36:15.503Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15827.075 ms) ====== [2025-10-15T22:36:15.503Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-10-15T22:36:15.835Z] GC before operation: completed in 161.229 ms, heap usage 183.642 MB -> 88.724 MB. [2025-10-15T22:36:18.148Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-15T22:36:20.417Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-15T22:36:23.396Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-15T22:36:25.067Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-15T22:36:26.740Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-15T22:36:28.409Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-15T22:36:29.567Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-15T22:36:31.236Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-15T22:36:31.573Z] 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. [2025-10-15T22:36:31.574Z] The best model improves the baseline by 14.34%. [2025-10-15T22:36:31.574Z] Top recommended movies for user id 72: [2025-10-15T22:36:31.574Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-15T22:36:31.574Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-15T22:36:31.574Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-15T22:36:31.574Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-15T22:36:31.574Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-15T22:36:31.574Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15855.501 ms) ====== [2025-10-15T22:36:31.574Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-10-15T22:36:31.907Z] GC before operation: completed in 159.183 ms, heap usage 174.843 MB -> 88.614 MB. [2025-10-15T22:36:34.167Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-15T22:36:36.433Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-15T22:36:38.703Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-15T22:36:40.864Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-15T22:36:42.023Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-15T22:36:43.684Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-15T22:36:44.836Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-15T22:36:46.507Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-15T22:36:46.507Z] 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. [2025-10-15T22:36:46.507Z] The best model improves the baseline by 14.34%. [2025-10-15T22:36:46.839Z] Top recommended movies for user id 72: [2025-10-15T22:36:46.839Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-15T22:36:46.839Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-15T22:36:46.839Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-15T22:36:46.839Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-15T22:36:46.839Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-15T22:36:46.839Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14939.632 ms) ====== [2025-10-15T22:36:46.839Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-10-15T22:36:46.839Z] GC before operation: completed in 154.144 ms, heap usage 729.876 MB -> 93.538 MB. [2025-10-15T22:36:49.123Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-15T22:36:51.386Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-15T22:36:54.372Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-15T22:36:56.037Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-15T22:36:57.700Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-15T22:36:59.370Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-15T22:37:00.642Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-15T22:37:02.310Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-15T22:37:02.647Z] 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. [2025-10-15T22:37:02.647Z] The best model improves the baseline by 14.34%. [2025-10-15T22:37:02.979Z] Top recommended movies for user id 72: [2025-10-15T22:37:02.979Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-15T22:37:02.979Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-15T22:37:02.979Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-15T22:37:02.979Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-15T22:37:02.979Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-15T22:37:02.979Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15989.917 ms) ====== [2025-10-15T22:37:02.979Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-10-15T22:37:02.979Z] GC before operation: completed in 151.618 ms, heap usage 160.364 MB -> 88.670 MB. [2025-10-15T22:37:05.248Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-15T22:37:07.510Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-15T22:37:10.490Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-15T22:37:12.160Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-15T22:37:13.824Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-15T22:37:15.484Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-15T22:37:16.636Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-15T22:37:18.301Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-15T22:37:18.301Z] 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. [2025-10-15T22:37:18.301Z] The best model improves the baseline by 14.34%. [2025-10-15T22:37:18.301Z] Top recommended movies for user id 72: [2025-10-15T22:37:18.301Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-15T22:37:18.301Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-15T22:37:18.301Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-15T22:37:18.301Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-15T22:37:18.301Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-15T22:37:18.301Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15420.745 ms) ====== [2025-10-15T22:37:18.301Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-10-15T22:37:18.632Z] GC before operation: completed in 151.436 ms, heap usage 419.968 MB -> 89.334 MB. [2025-10-15T22:37:20.900Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-15T22:37:23.256Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-15T22:37:25.608Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-15T22:37:27.881Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-15T22:37:29.037Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-15T22:37:30.707Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-15T22:37:32.373Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-15T22:37:33.527Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-15T22:37:33.860Z] 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. [2025-10-15T22:37:33.860Z] The best model improves the baseline by 14.34%. [2025-10-15T22:37:33.860Z] Top recommended movies for user id 72: [2025-10-15T22:37:33.860Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-15T22:37:33.860Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-15T22:37:33.860Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-15T22:37:33.860Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-15T22:37:33.860Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-15T22:37:33.860Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15341.624 ms) ====== [2025-10-15T22:37:33.860Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-10-15T22:37:34.193Z] GC before operation: completed in 144.331 ms, heap usage 157.031 MB -> 88.648 MB. [2025-10-15T22:37:36.461Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-15T22:37:38.729Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-15T22:37:40.996Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-15T22:37:43.266Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-15T22:37:44.422Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-15T22:37:46.170Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-15T22:37:47.323Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-15T22:37:48.486Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-15T22:37:48.815Z] 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. [2025-10-15T22:37:48.815Z] The best model improves the baseline by 14.34%. [2025-10-15T22:37:49.147Z] Top recommended movies for user id 72: [2025-10-15T22:37:49.147Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-15T22:37:49.147Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-15T22:37:49.147Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-15T22:37:49.147Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-15T22:37:49.147Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-15T22:37:49.147Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14917.117 ms) ====== [2025-10-15T22:37:49.147Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-10-15T22:37:49.147Z] GC before operation: completed in 147.303 ms, heap usage 117.339 MB -> 89.841 MB. [2025-10-15T22:37:51.424Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-15T22:37:53.723Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-15T22:37:55.931Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-15T22:37:58.276Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-15T22:37:59.449Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-15T22:38:00.614Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-15T22:38:02.368Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-15T22:38:03.523Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-15T22:38:03.857Z] 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. [2025-10-15T22:38:03.857Z] The best model improves the baseline by 14.34%. [2025-10-15T22:38:03.857Z] Top recommended movies for user id 72: [2025-10-15T22:38:03.857Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-15T22:38:03.857Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-15T22:38:03.857Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-15T22:38:03.857Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-15T22:38:03.857Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-15T22:38:03.857Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14715.706 ms) ====== [2025-10-15T22:38:03.857Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-10-15T22:38:03.857Z] GC before operation: completed in 155.534 ms, heap usage 730.281 MB -> 93.525 MB. [2025-10-15T22:38:06.919Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-15T22:38:08.587Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-15T22:38:11.557Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-15T22:38:13.222Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-15T22:38:14.887Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-15T22:38:16.045Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-15T22:38:17.704Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-15T22:38:18.859Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-15T22:38:19.190Z] 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. [2025-10-15T22:38:19.190Z] The best model improves the baseline by 14.34%. [2025-10-15T22:38:19.190Z] Top recommended movies for user id 72: [2025-10-15T22:38:19.190Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-15T22:38:19.190Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-15T22:38:19.190Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-15T22:38:19.190Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-15T22:38:19.190Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-15T22:38:19.190Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15296.179 ms) ====== [2025-10-15T22:38:19.191Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-10-15T22:38:19.524Z] GC before operation: completed in 147.529 ms, heap usage 424.559 MB -> 89.263 MB. [2025-10-15T22:38:21.788Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-15T22:38:24.056Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-15T22:38:26.324Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-15T22:38:28.621Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-15T22:38:29.780Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-15T22:38:30.994Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-15T22:38:32.658Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-15T22:38:33.820Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-15T22:38:34.152Z] 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. [2025-10-15T22:38:34.152Z] The best model improves the baseline by 14.34%. [2025-10-15T22:38:34.152Z] Top recommended movies for user id 72: [2025-10-15T22:38:34.152Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-15T22:38:34.152Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-15T22:38:34.152Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-15T22:38:34.152Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-15T22:38:34.152Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-15T22:38:34.152Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14735.444 ms) ====== [2025-10-15T22:38:34.152Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-10-15T22:38:34.488Z] GC before operation: completed in 143.514 ms, heap usage 206.037 MB -> 89.031 MB. [2025-10-15T22:38:36.754Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-15T22:38:39.027Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-15T22:38:41.293Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-15T22:38:42.965Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-15T22:38:44.631Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-15T22:38:45.789Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-15T22:38:46.946Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-15T22:38:48.630Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-15T22:38:48.630Z] 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. [2025-10-15T22:38:48.966Z] The best model improves the baseline by 14.34%. [2025-10-15T22:38:48.966Z] Top recommended movies for user id 72: [2025-10-15T22:38:48.966Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-15T22:38:48.966Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-15T22:38:48.966Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-15T22:38:48.966Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-15T22:38:48.966Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-15T22:38:48.966Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14597.021 ms) ====== [2025-10-15T22:38:48.966Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-10-15T22:38:48.966Z] GC before operation: completed in 151.338 ms, heap usage 604.483 MB -> 92.866 MB. [2025-10-15T22:38:51.236Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-15T22:38:53.504Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-15T22:38:55.771Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-15T22:38:58.046Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-15T22:38:59.206Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-15T22:39:00.874Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-15T22:39:02.029Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-15T22:39:03.183Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-15T22:39:03.518Z] 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. [2025-10-15T22:39:03.518Z] The best model improves the baseline by 14.34%. [2025-10-15T22:39:03.849Z] Top recommended movies for user id 72: [2025-10-15T22:39:03.849Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-15T22:39:03.849Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-15T22:39:03.849Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-15T22:39:03.849Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-15T22:39:03.849Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-15T22:39:03.849Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14640.522 ms) ====== [2025-10-15T22:39:03.849Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-10-15T22:39:03.849Z] GC before operation: completed in 143.491 ms, heap usage 316.432 MB -> 89.213 MB. [2025-10-15T22:39:06.120Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-15T22:39:08.384Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-15T22:39:10.667Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-15T22:39:12.936Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-15T22:39:14.094Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-15T22:39:15.764Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-15T22:39:16.917Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-15T22:39:18.581Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-15T22:39:18.581Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-10-15T22:39:18.581Z] The best model improves the baseline by 14.34%. [2025-10-15T22:39:18.914Z] Top recommended movies for user id 72: [2025-10-15T22:39:18.914Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-15T22:39:18.914Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-15T22:39:18.914Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-15T22:39:18.914Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-15T22:39:18.914Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-15T22:39:18.914Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14955.908 ms) ====== [2025-10-15T22:39:18.914Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-10-15T22:39:18.914Z] GC before operation: completed in 153.282 ms, heap usage 510.221 MB -> 92.584 MB. [2025-10-15T22:39:21.177Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-15T22:39:23.445Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-15T22:39:25.708Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-15T22:39:28.009Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-15T22:39:29.160Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-15T22:39:30.315Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-15T22:39:31.544Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-15T22:39:33.206Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-15T22:39:33.206Z] 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. [2025-10-15T22:39:33.206Z] The best model improves the baseline by 14.34%. [2025-10-15T22:39:33.206Z] Top recommended movies for user id 72: [2025-10-15T22:39:33.206Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-15T22:39:33.206Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-15T22:39:33.206Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-15T22:39:33.206Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-15T22:39:33.206Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-15T22:39:33.206Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14338.087 ms) ====== [2025-10-15T22:39:33.206Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-10-15T22:39:33.538Z] GC before operation: completed in 156.400 ms, heap usage 718.397 MB -> 93.402 MB. [2025-10-15T22:39:35.797Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-15T22:39:38.059Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-15T22:39:40.323Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-15T22:39:42.013Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-15T22:39:43.687Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-15T22:39:44.844Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-15T22:39:46.522Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-15T22:39:47.685Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-15T22:39:47.685Z] 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. [2025-10-15T22:39:47.685Z] The best model improves the baseline by 14.34%. [2025-10-15T22:39:48.017Z] Top recommended movies for user id 72: [2025-10-15T22:39:48.017Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-10-15T22:39:48.017Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-10-15T22:39:48.017Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-10-15T22:39:48.017Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-10-15T22:39:48.017Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-10-15T22:39:48.017Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14436.066 ms) ====== [2025-10-15T22:39:48.348Z] ----------------------------------- [2025-10-15T22:39:48.348Z] renaissance-movie-lens_0_PASSED [2025-10-15T22:39:48.348Z] ----------------------------------- [2025-10-15T22:39:48.348Z] [2025-10-15T22:39:48.348Z] TEST TEARDOWN: [2025-10-15T22:39:48.348Z] Nothing to be done for teardown. [2025-10-15T22:39:48.348Z] renaissance-movie-lens_0 Finish Time: Wed Oct 15 22:39:48 2025 Epoch Time (ms): 1760567988228