[2025-12-15T13:28:55.556Z] Running test renaissance-movie-lens_0 ... [2025-12-15T13:28:55.556Z] =============================================== [2025-12-15T13:28:55.556Z] renaissance-movie-lens_0 Start Time: Mon Dec 15 13:28:55 2025 Epoch Time (ms): 1765805335437 [2025-12-15T13:28:55.556Z] variation: NoOptions [2025-12-15T13:28:55.556Z] JVM_OPTIONS: [2025-12-15T13:28:55.556Z] { \ [2025-12-15T13:28:55.556Z] echo ""; echo "TEST SETUP:"; \ [2025-12-15T13:28:55.556Z] echo "Nothing to be done for setup."; \ [2025-12-15T13:28:55.556Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17658035741251/renaissance-movie-lens_0"; \ [2025-12-15T13:28:55.556Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17658035741251/renaissance-movie-lens_0"; \ [2025-12-15T13:28:55.556Z] echo ""; echo "TESTING:"; \ [2025-12-15T13:28:55.556Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_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_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17658035741251/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-15T13:28:55.556Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17658035741251/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-15T13:28:55.556Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-15T13:28:55.556Z] echo "Nothing to be done for teardown."; \ [2025-12-15T13:28:55.556Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17658035741251/TestTargetResult"; [2025-12-15T13:28:55.556Z] [2025-12-15T13:28:55.556Z] TEST SETUP: [2025-12-15T13:28:55.556Z] Nothing to be done for setup. [2025-12-15T13:28:55.556Z] [2025-12-15T13:28:55.556Z] TESTING: [2025-12-15T13:28:56.821Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-12-15T13:28:56.821Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/output_17658035741251/renaissance-movie-lens_0/launcher-132855-12664820762439795271/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-12-15T13:28:56.821Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-12-15T13:28:56.821Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-12-15T13:29:01.372Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-12-15T13:29:07.055Z] 13:29:06.352 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. [2025-12-15T13:29:09.824Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-15T13:29:09.824Z] Training: 60056, validation: 20285, test: 19854 [2025-12-15T13:29:09.824Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-15T13:29:10.418Z] GC before operation: completed in 235.599 ms, heap usage 246.280 MB -> 75.487 MB. [2025-12-15T13:29:16.218Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-15T13:29:20.868Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-15T13:29:24.492Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-15T13:29:28.095Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-15T13:29:30.067Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-15T13:29:32.022Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-15T13:29:34.016Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-15T13:29:35.970Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-15T13:29:35.970Z] 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. [2025-12-15T13:29:36.648Z] The best model improves the baseline by 14.34%. [2025-12-15T13:29:36.648Z] Top recommended movies for user id 72: [2025-12-15T13:29:36.648Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-15T13:29:36.648Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-15T13:29:36.648Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-15T13:29:36.648Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-15T13:29:36.648Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-15T13:29:36.648Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (26217.123 ms) ====== [2025-12-15T13:29:36.648Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-15T13:29:36.648Z] GC before operation: completed in 215.865 ms, heap usage 181.081 MB -> 98.930 MB. [2025-12-15T13:29:39.359Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-15T13:29:42.969Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-15T13:29:45.781Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-15T13:29:48.620Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-15T13:29:50.701Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-15T13:29:51.981Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-15T13:29:54.001Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-15T13:29:56.328Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-15T13:29:56.328Z] 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. [2025-12-15T13:29:56.328Z] The best model improves the baseline by 14.34%. [2025-12-15T13:29:56.328Z] Top recommended movies for user id 72: [2025-12-15T13:29:56.328Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-15T13:29:56.328Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-15T13:29:56.328Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-15T13:29:56.328Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-15T13:29:56.328Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-15T13:29:56.328Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19638.565 ms) ====== [2025-12-15T13:29:56.328Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-15T13:29:56.328Z] GC before operation: completed in 223.474 ms, heap usage 179.564 MB -> 87.606 MB. [2025-12-15T13:29:59.951Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-15T13:30:01.943Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-15T13:30:04.676Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-15T13:30:07.496Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-15T13:30:08.749Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-15T13:30:10.008Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-15T13:30:11.967Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-15T13:30:13.923Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-15T13:30:13.923Z] 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. [2025-12-15T13:30:13.923Z] The best model improves the baseline by 14.34%. [2025-12-15T13:30:13.923Z] Top recommended movies for user id 72: [2025-12-15T13:30:13.923Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-15T13:30:13.923Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-15T13:30:13.923Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-15T13:30:13.923Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-15T13:30:13.923Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-15T13:30:13.923Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17454.723 ms) ====== [2025-12-15T13:30:13.923Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-15T13:30:14.529Z] GC before operation: completed in 206.696 ms, heap usage 160.856 MB -> 88.238 MB. [2025-12-15T13:30:17.286Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-15T13:30:19.254Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-15T13:30:22.890Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-15T13:30:24.899Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-15T13:30:26.164Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-15T13:30:28.121Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-15T13:30:30.088Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-15T13:30:31.342Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-15T13:30:31.959Z] 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. [2025-12-15T13:30:31.959Z] The best model improves the baseline by 14.34%. [2025-12-15T13:30:31.959Z] Top recommended movies for user id 72: [2025-12-15T13:30:31.959Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-15T13:30:31.959Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-15T13:30:31.959Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-15T13:30:31.959Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-15T13:30:31.959Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-15T13:30:31.959Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (17731.189 ms) ====== [2025-12-15T13:30:31.959Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-15T13:30:31.959Z] GC before operation: completed in 238.021 ms, heap usage 385.673 MB -> 88.933 MB. [2025-12-15T13:30:35.045Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-15T13:30:38.647Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-15T13:30:41.439Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-15T13:30:44.192Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-15T13:30:45.462Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-15T13:30:47.443Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-15T13:30:48.788Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-15T13:30:50.776Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-15T13:30:50.776Z] 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. [2025-12-15T13:30:51.451Z] The best model improves the baseline by 14.34%. [2025-12-15T13:30:51.452Z] Top recommended movies for user id 72: [2025-12-15T13:30:51.452Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-15T13:30:51.452Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-15T13:30:51.452Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-15T13:30:51.452Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-15T13:30:51.452Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-15T13:30:51.452Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19018.792 ms) ====== [2025-12-15T13:30:51.452Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-15T13:30:51.452Z] GC before operation: completed in 179.131 ms, heap usage 468.336 MB -> 92.186 MB. [2025-12-15T13:30:55.155Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-15T13:30:57.994Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-15T13:31:01.797Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-15T13:31:04.535Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-15T13:31:06.549Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-15T13:31:07.807Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-15T13:31:09.809Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-15T13:31:11.793Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-15T13:31:11.793Z] 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. [2025-12-15T13:31:11.793Z] The best model improves the baseline by 14.34%. [2025-12-15T13:31:11.793Z] Top recommended movies for user id 72: [2025-12-15T13:31:11.793Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-15T13:31:11.793Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-15T13:31:11.793Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-15T13:31:11.793Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-15T13:31:11.793Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-15T13:31:11.793Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (20624.244 ms) ====== [2025-12-15T13:31:11.793Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-15T13:31:12.658Z] GC before operation: completed in 210.098 ms, heap usage 434.455 MB -> 92.443 MB. [2025-12-15T13:31:15.431Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-15T13:31:18.207Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-15T13:31:21.024Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-15T13:31:23.789Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-15T13:31:25.829Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-15T13:31:27.867Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-15T13:31:29.924Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-15T13:31:31.240Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-15T13:31:31.847Z] 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. [2025-12-15T13:31:31.847Z] The best model improves the baseline by 14.34%. [2025-12-15T13:31:31.847Z] Top recommended movies for user id 72: [2025-12-15T13:31:31.847Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-15T13:31:31.847Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-15T13:31:31.847Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-15T13:31:31.847Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-15T13:31:31.847Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-15T13:31:31.847Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19816.246 ms) ====== [2025-12-15T13:31:31.847Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-15T13:31:32.469Z] GC before operation: completed in 198.969 ms, heap usage 436.372 MB -> 92.360 MB. [2025-12-15T13:31:35.279Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-15T13:31:38.028Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-15T13:31:40.770Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-15T13:31:43.489Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-15T13:31:44.748Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-15T13:31:46.754Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-15T13:31:48.706Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-15T13:31:49.949Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-15T13:31:49.949Z] 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. [2025-12-15T13:31:49.949Z] The best model improves the baseline by 14.34%. [2025-12-15T13:31:50.751Z] Top recommended movies for user id 72: [2025-12-15T13:31:50.752Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-15T13:31:50.752Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-15T13:31:50.752Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-15T13:31:50.752Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-15T13:31:50.752Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-15T13:31:50.752Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (17992.682 ms) ====== [2025-12-15T13:31:50.752Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-15T13:31:50.752Z] GC before operation: completed in 194.568 ms, heap usage 360.260 MB -> 89.354 MB. [2025-12-15T13:31:53.558Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-15T13:31:56.351Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-15T13:31:59.135Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-15T13:32:01.867Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-15T13:32:03.858Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-15T13:32:05.118Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-15T13:32:07.133Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-15T13:32:09.137Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-15T13:32:09.137Z] 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. [2025-12-15T13:32:09.137Z] The best model improves the baseline by 14.34%. [2025-12-15T13:32:09.137Z] Top recommended movies for user id 72: [2025-12-15T13:32:09.137Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-15T13:32:09.138Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-15T13:32:09.138Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-15T13:32:09.138Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-15T13:32:09.138Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-15T13:32:09.138Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18941.542 ms) ====== [2025-12-15T13:32:09.138Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-15T13:32:09.752Z] GC before operation: completed in 160.157 ms, heap usage 313.857 MB -> 89.132 MB. [2025-12-15T13:32:12.539Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-15T13:32:15.303Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-15T13:32:18.149Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-15T13:32:20.959Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-15T13:32:22.232Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-15T13:32:23.552Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-15T13:32:25.569Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-15T13:32:26.923Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-15T13:32:27.558Z] 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. [2025-12-15T13:32:27.558Z] The best model improves the baseline by 14.34%. [2025-12-15T13:32:27.558Z] Top recommended movies for user id 72: [2025-12-15T13:32:27.558Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-15T13:32:27.558Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-15T13:32:27.558Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-15T13:32:27.558Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-15T13:32:27.558Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-15T13:32:27.558Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (17961.692 ms) ====== [2025-12-15T13:32:27.558Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-15T13:32:27.558Z] GC before operation: completed in 226.678 ms, heap usage 230.550 MB -> 90.374 MB. [2025-12-15T13:32:30.338Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-15T13:32:33.139Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-15T13:32:35.917Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-15T13:32:37.908Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-15T13:32:39.899Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-15T13:32:41.182Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-15T13:32:43.198Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-15T13:32:44.497Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-15T13:32:45.149Z] 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. [2025-12-15T13:32:45.149Z] The best model improves the baseline by 14.34%. [2025-12-15T13:32:45.149Z] Top recommended movies for user id 72: [2025-12-15T13:32:45.149Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-15T13:32:45.149Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-15T13:32:45.149Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-15T13:32:45.149Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-15T13:32:45.149Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-15T13:32:45.149Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (17446.704 ms) ====== [2025-12-15T13:32:45.149Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-15T13:32:45.149Z] GC before operation: completed in 229.171 ms, heap usage 203.660 MB -> 88.816 MB. [2025-12-15T13:32:47.940Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-15T13:32:49.954Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-15T13:32:52.705Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-15T13:32:55.429Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-15T13:32:56.685Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-15T13:32:57.924Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-15T13:32:59.176Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-15T13:33:00.427Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-15T13:33:01.028Z] 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. [2025-12-15T13:33:01.028Z] The best model improves the baseline by 14.34%. [2025-12-15T13:33:01.028Z] Top recommended movies for user id 72: [2025-12-15T13:33:01.028Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-15T13:33:01.028Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-15T13:33:01.028Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-15T13:33:01.028Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-15T13:33:01.028Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-15T13:33:01.028Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15540.549 ms) ====== [2025-12-15T13:33:01.028Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-15T13:33:01.028Z] GC before operation: completed in 169.749 ms, heap usage 384.026 MB -> 89.394 MB. [2025-12-15T13:33:03.744Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-15T13:33:06.029Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-15T13:33:08.776Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-15T13:33:10.760Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-15T13:33:12.008Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-15T13:33:13.964Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-15T13:33:15.225Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-15T13:33:16.499Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-15T13:33:17.121Z] 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. [2025-12-15T13:33:17.121Z] The best model improves the baseline by 14.34%. [2025-12-15T13:33:17.121Z] Top recommended movies for user id 72: [2025-12-15T13:33:17.121Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-15T13:33:17.121Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-15T13:33:17.121Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-15T13:33:17.121Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-15T13:33:17.121Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-15T13:33:17.121Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (16051.455 ms) ====== [2025-12-15T13:33:17.121Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-15T13:33:17.121Z] GC before operation: completed in 203.110 ms, heap usage 205.888 MB -> 89.206 MB. [2025-12-15T13:33:19.854Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-15T13:33:22.628Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-15T13:33:24.591Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-15T13:33:26.544Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-15T13:33:28.504Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-15T13:33:29.777Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-15T13:33:31.029Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-15T13:33:32.999Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-15T13:33:32.999Z] 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. [2025-12-15T13:33:32.999Z] The best model improves the baseline by 14.34%. [2025-12-15T13:33:32.999Z] Top recommended movies for user id 72: [2025-12-15T13:33:32.999Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-15T13:33:32.999Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-15T13:33:32.999Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-15T13:33:32.999Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-15T13:33:32.999Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-15T13:33:32.999Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15750.523 ms) ====== [2025-12-15T13:33:32.999Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-15T13:33:33.629Z] GC before operation: completed in 178.396 ms, heap usage 216.377 MB -> 89.053 MB. [2025-12-15T13:33:35.607Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-15T13:33:38.378Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-15T13:33:41.115Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-15T13:33:43.060Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-15T13:33:44.476Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-15T13:33:45.738Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-15T13:33:47.693Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-15T13:33:48.933Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-15T13:33:48.934Z] 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. [2025-12-15T13:33:48.934Z] The best model improves the baseline by 14.34%. [2025-12-15T13:33:48.934Z] Top recommended movies for user id 72: [2025-12-15T13:33:48.934Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-15T13:33:48.934Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-15T13:33:48.934Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-15T13:33:48.934Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-15T13:33:48.934Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-15T13:33:48.934Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15870.983 ms) ====== [2025-12-15T13:33:48.934Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-15T13:33:49.538Z] GC before operation: completed in 171.652 ms, heap usage 167.062 MB -> 89.196 MB. [2025-12-15T13:33:52.283Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-15T13:33:54.249Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-15T13:33:56.994Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-15T13:33:58.972Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-15T13:34:00.218Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-15T13:34:01.453Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-15T13:34:03.420Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-15T13:34:04.693Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-15T13:34:04.693Z] 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. [2025-12-15T13:34:04.693Z] The best model improves the baseline by 14.34%. [2025-12-15T13:34:04.693Z] Top recommended movies for user id 72: [2025-12-15T13:34:04.693Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-15T13:34:04.693Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-15T13:34:04.693Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-15T13:34:04.693Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-15T13:34:04.693Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-15T13:34:04.693Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15573.661 ms) ====== [2025-12-15T13:34:04.693Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-15T13:34:05.323Z] GC before operation: completed in 181.653 ms, heap usage 234.241 MB -> 89.191 MB. [2025-12-15T13:34:07.299Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-15T13:34:10.044Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-15T13:34:12.889Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-15T13:34:14.874Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-15T13:34:16.120Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-15T13:34:18.077Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-15T13:34:19.319Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-15T13:34:20.919Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-15T13:34:20.919Z] 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. [2025-12-15T13:34:20.919Z] The best model improves the baseline by 14.34%. [2025-12-15T13:34:20.919Z] Top recommended movies for user id 72: [2025-12-15T13:34:20.919Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-15T13:34:20.919Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-15T13:34:20.919Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-15T13:34:20.919Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-15T13:34:20.919Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-15T13:34:20.919Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15946.286 ms) ====== [2025-12-15T13:34:20.919Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-15T13:34:21.529Z] GC before operation: completed in 196.872 ms, heap usage 220.923 MB -> 89.350 MB. [2025-12-15T13:34:24.283Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-15T13:34:26.239Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-15T13:34:28.969Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-15T13:34:30.945Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-15T13:34:32.895Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-15T13:34:34.132Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-15T13:34:35.374Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-15T13:34:36.606Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-15T13:34:36.607Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-15T13:34:36.607Z] The best model improves the baseline by 14.34%. [2025-12-15T13:34:37.287Z] Top recommended movies for user id 72: [2025-12-15T13:34:37.287Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-15T13:34:37.287Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-15T13:34:37.287Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-15T13:34:37.287Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-15T13:34:37.287Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-15T13:34:37.287Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15769.425 ms) ====== [2025-12-15T13:34:37.287Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-15T13:34:37.287Z] GC before operation: completed in 193.112 ms, heap usage 380.584 MB -> 89.382 MB. [2025-12-15T13:34:40.016Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-15T13:34:41.973Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-15T13:34:44.709Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-15T13:34:46.658Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-15T13:34:47.909Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-15T13:34:49.178Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-15T13:34:50.516Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-15T13:34:51.778Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-15T13:34:52.387Z] 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. [2025-12-15T13:34:52.387Z] The best model improves the baseline by 14.34%. [2025-12-15T13:34:52.387Z] Top recommended movies for user id 72: [2025-12-15T13:34:52.387Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-15T13:34:52.387Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-15T13:34:52.387Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-15T13:34:52.387Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-15T13:34:52.387Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-15T13:34:52.387Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15207.867 ms) ====== [2025-12-15T13:34:52.387Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-15T13:34:52.387Z] GC before operation: completed in 185.017 ms, heap usage 254.876 MB -> 89.199 MB. [2025-12-15T13:34:55.150Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-15T13:34:57.489Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-15T13:35:00.219Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-15T13:35:02.287Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-15T13:35:03.544Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-15T13:35:04.778Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-15T13:35:06.738Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-15T13:35:08.028Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-15T13:35:08.028Z] 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. [2025-12-15T13:35:08.028Z] The best model improves the baseline by 14.34%. [2025-12-15T13:35:08.629Z] Top recommended movies for user id 72: [2025-12-15T13:35:08.629Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-15T13:35:08.629Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-15T13:35:08.629Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-15T13:35:08.629Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-15T13:35:08.629Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-15T13:35:08.629Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15745.369 ms) ====== [2025-12-15T13:35:08.629Z] ----------------------------------- [2025-12-15T13:35:08.629Z] renaissance-movie-lens_0_PASSED [2025-12-15T13:35:08.629Z] ----------------------------------- [2025-12-15T13:35:08.629Z] [2025-12-15T13:35:08.629Z] TEST TEARDOWN: [2025-12-15T13:35:08.629Z] Nothing to be done for teardown. [2025-12-15T13:35:08.629Z] renaissance-movie-lens_0 Finish Time: Mon Dec 15 13:35:08 2025 Epoch Time (ms): 1765805708502