[2025-06-07T22:12:12.321Z] Running test renaissance-movie-lens_0 ... [2025-06-07T22:12:12.321Z] =============================================== [2025-06-07T22:12:12.321Z] renaissance-movie-lens_0 Start Time: Sat Jun 7 22:12:12 2025 Epoch Time (ms): 1749334332134 [2025-06-07T22:12:12.321Z] variation: NoOptions [2025-06-07T22:12:12.321Z] JVM_OPTIONS: [2025-06-07T22:12:12.321Z] { \ [2025-06-07T22:12:12.321Z] echo ""; echo "TEST SETUP:"; \ [2025-06-07T22:12:12.321Z] echo "Nothing to be done for setup."; \ [2025-06-07T22:12:12.321Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17493326725572/renaissance-movie-lens_0"; \ [2025-06-07T22:12:12.321Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17493326725572/renaissance-movie-lens_0"; \ [2025-06-07T22:12:12.321Z] echo ""; echo "TESTING:"; \ [2025-06-07T22:12:12.322Z] "/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_17493326725572/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-06-07T22:12:12.322Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17493326725572/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-07T22:12:12.322Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-07T22:12:12.322Z] echo "Nothing to be done for teardown."; \ [2025-06-07T22:12:12.322Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17493326725572/TestTargetResult"; [2025-06-07T22:12:12.322Z] [2025-06-07T22:12:12.322Z] TEST SETUP: [2025-06-07T22:12:12.322Z] Nothing to be done for setup. [2025-06-07T22:12:12.322Z] [2025-06-07T22:12:12.322Z] TESTING: [2025-06-07T22:12:13.014Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-06-07T22:12:13.014Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/output_17493326725572/renaissance-movie-lens_0/launcher-221212-17862361747537660531/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-06-07T22:12:13.014Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-06-07T22:12:13.014Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-06-07T22:12:23.743Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-06-07T22:12:32.552Z] 22:12:31.202 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. [2025-06-07T22:12:34.770Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-07T22:12:35.961Z] Training: 60056, validation: 20285, test: 19854 [2025-06-07T22:12:35.961Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-07T22:12:35.962Z] GC before operation: completed in 180.452 ms, heap usage 231.872 MB -> 75.409 MB. [2025-06-07T22:12:44.762Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-07T22:12:50.610Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-07T22:12:55.298Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-07T22:12:59.991Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-07T22:13:02.209Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-07T22:13:04.441Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-07T22:13:07.357Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-07T22:13:08.982Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-07T22:13:08.982Z] 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. [2025-06-07T22:13:09.359Z] The best model improves the baseline by 14.34%. [2025-06-07T22:13:09.359Z] Top recommended movies for user id 72: [2025-06-07T22:13:09.359Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-07T22:13:09.359Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-07T22:13:09.359Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-07T22:13:09.359Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-07T22:13:09.359Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-07T22:13:09.359Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (33460.993 ms) ====== [2025-06-07T22:13:09.359Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-07T22:13:09.700Z] GC before operation: completed in 226.767 ms, heap usage 353.845 MB -> 88.950 MB. [2025-06-07T22:13:13.427Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-07T22:13:16.334Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-07T22:13:20.047Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-07T22:13:22.264Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-07T22:13:24.472Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-07T22:13:26.098Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-07T22:13:28.306Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-07T22:13:29.937Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-07T22:13:30.258Z] 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. [2025-06-07T22:13:30.258Z] The best model improves the baseline by 14.34%. [2025-06-07T22:13:30.578Z] Top recommended movies for user id 72: [2025-06-07T22:13:30.578Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-07T22:13:30.578Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-07T22:13:30.578Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-07T22:13:30.578Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-07T22:13:30.578Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-07T22:13:30.578Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (20910.381 ms) ====== [2025-06-07T22:13:30.578Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-07T22:13:30.901Z] GC before operation: completed in 179.540 ms, heap usage 227.109 MB -> 87.462 MB. [2025-06-07T22:13:33.807Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-07T22:13:36.793Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-07T22:13:40.516Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-07T22:13:43.418Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-07T22:13:45.044Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-07T22:13:46.666Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-07T22:13:49.566Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-07T22:13:51.186Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-07T22:13:51.508Z] 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. [2025-06-07T22:13:51.508Z] The best model improves the baseline by 14.34%. [2025-06-07T22:13:51.508Z] Top recommended movies for user id 72: [2025-06-07T22:13:51.508Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-07T22:13:51.508Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-07T22:13:51.508Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-07T22:13:51.508Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-07T22:13:51.508Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-07T22:13:51.508Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20890.267 ms) ====== [2025-06-07T22:13:51.508Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-07T22:13:51.828Z] GC before operation: completed in 190.339 ms, heap usage 596.814 MB -> 91.803 MB. [2025-06-07T22:13:54.779Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-07T22:13:57.676Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-07T22:14:01.391Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-07T22:14:03.604Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-07T22:14:05.250Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-07T22:14:06.872Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-07T22:14:09.095Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-07T22:14:10.723Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-07T22:14:11.050Z] 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. [2025-06-07T22:14:11.050Z] The best model improves the baseline by 14.34%. [2025-06-07T22:14:11.050Z] Top recommended movies for user id 72: [2025-06-07T22:14:11.050Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-07T22:14:11.050Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-07T22:14:11.050Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-07T22:14:11.050Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-07T22:14:11.050Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-07T22:14:11.050Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19319.584 ms) ====== [2025-06-07T22:14:11.050Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-07T22:14:11.372Z] GC before operation: completed in 208.457 ms, heap usage 440.664 MB -> 91.973 MB. [2025-06-07T22:14:14.272Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-07T22:14:17.169Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-07T22:14:20.890Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-07T22:14:23.101Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-07T22:14:24.731Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-07T22:14:26.353Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-07T22:14:28.563Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-07T22:14:30.192Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-07T22:14:30.192Z] 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. [2025-06-07T22:14:30.513Z] The best model improves the baseline by 14.34%. [2025-06-07T22:14:30.513Z] Top recommended movies for user id 72: [2025-06-07T22:14:30.513Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-07T22:14:30.513Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-07T22:14:30.513Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-07T22:14:30.513Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-07T22:14:30.513Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-07T22:14:30.513Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19153.272 ms) ====== [2025-06-07T22:14:30.513Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-07T22:14:30.833Z] GC before operation: completed in 169.939 ms, heap usage 118.179 MB -> 88.153 MB. [2025-06-07T22:14:33.810Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-07T22:14:36.736Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-07T22:14:39.637Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-07T22:14:42.538Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-07T22:14:44.160Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-07T22:14:45.779Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-07T22:14:47.987Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-07T22:14:49.609Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-07T22:14:49.610Z] 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. [2025-06-07T22:14:49.610Z] The best model improves the baseline by 14.34%. [2025-06-07T22:14:49.942Z] Top recommended movies for user id 72: [2025-06-07T22:14:49.942Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-07T22:14:49.942Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-07T22:14:49.942Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-07T22:14:49.942Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-07T22:14:49.942Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-07T22:14:49.942Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19103.642 ms) ====== [2025-06-07T22:14:49.942Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-07T22:14:49.942Z] GC before operation: completed in 178.538 ms, heap usage 202.112 MB -> 88.621 MB. [2025-06-07T22:14:52.855Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-07T22:14:55.770Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-07T22:14:59.593Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-07T22:15:02.514Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-07T22:15:04.135Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-07T22:15:06.353Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-07T22:15:07.975Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-07T22:15:09.607Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-07T22:15:09.607Z] 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. [2025-06-07T22:15:09.927Z] The best model improves the baseline by 14.34%. [2025-06-07T22:15:09.927Z] Top recommended movies for user id 72: [2025-06-07T22:15:09.927Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-07T22:15:09.927Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-07T22:15:09.927Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-07T22:15:09.927Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-07T22:15:09.927Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-07T22:15:09.927Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19987.828 ms) ====== [2025-06-07T22:15:09.927Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-07T22:15:10.248Z] GC before operation: completed in 195.486 ms, heap usage 229.735 MB -> 88.699 MB. [2025-06-07T22:15:13.159Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-07T22:15:16.160Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-07T22:15:19.066Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-07T22:15:21.968Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-07T22:15:23.591Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-07T22:15:25.879Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-07T22:15:27.507Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-07T22:15:29.129Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-07T22:15:29.450Z] 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. [2025-06-07T22:15:29.450Z] The best model improves the baseline by 14.34%. [2025-06-07T22:15:29.927Z] Top recommended movies for user id 72: [2025-06-07T22:15:29.927Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-07T22:15:29.927Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-07T22:15:29.927Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-07T22:15:29.927Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-07T22:15:29.927Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-07T22:15:29.927Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19530.084 ms) ====== [2025-06-07T22:15:29.927Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-07T22:15:29.927Z] GC before operation: completed in 249.286 ms, heap usage 406.291 MB -> 89.264 MB. [2025-06-07T22:15:33.655Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-07T22:15:35.864Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-07T22:15:38.764Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-07T22:15:41.665Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-07T22:15:43.518Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-07T22:15:45.139Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-07T22:15:46.766Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-07T22:15:48.396Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-07T22:15:48.715Z] 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. [2025-06-07T22:15:48.715Z] The best model improves the baseline by 14.34%. [2025-06-07T22:15:49.036Z] Top recommended movies for user id 72: [2025-06-07T22:15:49.036Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-07T22:15:49.036Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-07T22:15:49.036Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-07T22:15:49.036Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-07T22:15:49.036Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-07T22:15:49.036Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18984.115 ms) ====== [2025-06-07T22:15:49.036Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-07T22:15:49.036Z] GC before operation: completed in 172.807 ms, heap usage 179.330 MB -> 88.623 MB. [2025-06-07T22:15:52.020Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-07T22:15:54.922Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-07T22:15:57.131Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-07T22:16:00.036Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-07T22:16:01.659Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-07T22:16:02.782Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-07T22:16:04.998Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-07T22:16:06.622Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-07T22:16:06.622Z] 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. [2025-06-07T22:16:06.622Z] The best model improves the baseline by 14.34%. [2025-06-07T22:16:06.943Z] Top recommended movies for user id 72: [2025-06-07T22:16:06.943Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-07T22:16:06.943Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-07T22:16:06.943Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-07T22:16:06.943Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-07T22:16:06.943Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-07T22:16:06.943Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (17812.448 ms) ====== [2025-06-07T22:16:06.943Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-07T22:16:06.943Z] GC before operation: completed in 180.506 ms, heap usage 220.483 MB -> 88.876 MB. [2025-06-07T22:16:09.851Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-07T22:16:12.756Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-07T22:16:15.665Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-07T22:16:17.875Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-07T22:16:19.619Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-07T22:16:21.831Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-07T22:16:23.456Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-07T22:16:25.079Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-07T22:16:25.399Z] 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. [2025-06-07T22:16:25.399Z] The best model improves the baseline by 14.34%. [2025-06-07T22:16:25.399Z] Top recommended movies for user id 72: [2025-06-07T22:16:25.399Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-07T22:16:25.399Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-07T22:16:25.399Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-07T22:16:25.399Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-07T22:16:25.399Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-07T22:16:25.399Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18438.662 ms) ====== [2025-06-07T22:16:25.399Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-07T22:16:25.722Z] GC before operation: completed in 183.687 ms, heap usage 492.916 MB -> 92.226 MB. [2025-06-07T22:16:28.624Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-07T22:16:31.532Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-07T22:16:34.434Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-07T22:16:37.378Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-07T22:16:39.000Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-07T22:16:41.214Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-07T22:16:42.842Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-07T22:16:45.134Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-07T22:16:45.134Z] 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. [2025-06-07T22:16:45.134Z] The best model improves the baseline by 14.34%. [2025-06-07T22:16:45.134Z] Top recommended movies for user id 72: [2025-06-07T22:16:45.134Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-07T22:16:45.134Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-07T22:16:45.134Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-07T22:16:45.134Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-07T22:16:45.134Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-07T22:16:45.134Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19432.455 ms) ====== [2025-06-07T22:16:45.134Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-07T22:16:45.454Z] GC before operation: completed in 178.495 ms, heap usage 451.079 MB -> 92.355 MB. [2025-06-07T22:16:48.355Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-07T22:16:51.297Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-07T22:16:55.022Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-07T22:16:57.925Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-07T22:16:59.545Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-07T22:17:01.763Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-07T22:17:03.395Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-07T22:17:05.016Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-07T22:17:05.382Z] 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. [2025-06-07T22:17:05.382Z] The best model improves the baseline by 14.34%. [2025-06-07T22:17:05.701Z] Top recommended movies for user id 72: [2025-06-07T22:17:05.701Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-07T22:17:05.701Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-07T22:17:05.701Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-07T22:17:05.701Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-07T22:17:05.701Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-07T22:17:05.701Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (20330.912 ms) ====== [2025-06-07T22:17:05.701Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-07T22:17:05.701Z] GC before operation: completed in 169.932 ms, heap usage 148.497 MB -> 88.799 MB. [2025-06-07T22:17:09.424Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-07T22:17:12.333Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-07T22:17:15.311Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-07T22:17:18.217Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-07T22:17:19.846Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-07T22:17:21.473Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-07T22:17:23.691Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-07T22:17:25.315Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-07T22:17:25.635Z] 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. [2025-06-07T22:17:25.635Z] The best model improves the baseline by 14.34%. [2025-06-07T22:17:25.956Z] Top recommended movies for user id 72: [2025-06-07T22:17:25.956Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-07T22:17:25.956Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-07T22:17:25.956Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-07T22:17:25.956Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-07T22:17:25.956Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-07T22:17:25.956Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20077.698 ms) ====== [2025-06-07T22:17:25.956Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-07T22:17:25.956Z] GC before operation: completed in 170.888 ms, heap usage 363.782 MB -> 88.940 MB. [2025-06-07T22:17:28.858Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-07T22:17:31.761Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-07T22:17:34.672Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-07T22:17:36.887Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-07T22:17:38.512Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-07T22:17:40.159Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-07T22:17:41.782Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-07T22:17:43.405Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-07T22:17:43.725Z] 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. [2025-06-07T22:17:43.725Z] The best model improves the baseline by 14.34%. [2025-06-07T22:17:44.053Z] Top recommended movies for user id 72: [2025-06-07T22:17:44.053Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-07T22:17:44.053Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-07T22:17:44.053Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-07T22:17:44.053Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-07T22:17:44.053Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-07T22:17:44.053Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (17903.561 ms) ====== [2025-06-07T22:17:44.053Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-07T22:17:44.053Z] GC before operation: completed in 175.297 ms, heap usage 181.130 MB -> 90.058 MB. [2025-06-07T22:17:46.953Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-07T22:17:49.861Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-07T22:17:52.761Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-07T22:17:54.970Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-07T22:17:56.592Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-07T22:17:58.216Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-07T22:17:59.838Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-07T22:18:01.465Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-07T22:18:01.465Z] 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. [2025-06-07T22:18:01.465Z] The best model improves the baseline by 14.34%. [2025-06-07T22:18:01.785Z] Top recommended movies for user id 72: [2025-06-07T22:18:01.785Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-07T22:18:01.785Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-07T22:18:01.785Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-07T22:18:01.785Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-07T22:18:01.785Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-07T22:18:01.785Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (17587.680 ms) ====== [2025-06-07T22:18:01.785Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-07T22:18:01.785Z] GC before operation: completed in 191.509 ms, heap usage 571.904 MB -> 92.617 MB. [2025-06-07T22:18:04.685Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-07T22:18:07.659Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-07T22:18:10.555Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-07T22:18:12.760Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-07T22:18:14.406Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-07T22:18:16.037Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-07T22:18:18.245Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-07T22:18:19.869Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-07T22:18:20.188Z] 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. [2025-06-07T22:18:20.188Z] The best model improves the baseline by 14.34%. [2025-06-07T22:18:20.513Z] Top recommended movies for user id 72: [2025-06-07T22:18:20.513Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-07T22:18:20.513Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-07T22:18:20.513Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-07T22:18:20.513Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-07T22:18:20.513Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-07T22:18:20.513Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18599.581 ms) ====== [2025-06-07T22:18:20.513Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-07T22:18:20.833Z] GC before operation: completed in 193.953 ms, heap usage 144.641 MB -> 88.906 MB. [2025-06-07T22:18:23.738Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-07T22:18:26.638Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-07T22:18:30.357Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-07T22:18:33.344Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-07T22:18:35.009Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-07T22:18:36.633Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-07T22:18:38.848Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-07T22:18:40.470Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-07T22:18:40.790Z] 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. [2025-06-07T22:18:41.113Z] The best model improves the baseline by 14.34%. [2025-06-07T22:18:41.113Z] Top recommended movies for user id 72: [2025-06-07T22:18:41.113Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-07T22:18:41.113Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-07T22:18:41.113Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-07T22:18:41.113Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-07T22:18:41.113Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-07T22:18:41.113Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (20374.522 ms) ====== [2025-06-07T22:18:41.113Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-07T22:18:41.434Z] GC before operation: completed in 185.552 ms, heap usage 435.926 MB -> 92.441 MB. [2025-06-07T22:18:44.337Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-07T22:18:47.261Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-07T22:18:50.172Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-07T22:18:53.072Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-07T22:18:54.694Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-07T22:18:56.905Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-07T22:18:58.610Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-07T22:19:00.235Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-07T22:19:00.555Z] 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. [2025-06-07T22:19:00.555Z] The best model improves the baseline by 14.34%. [2025-06-07T22:19:00.878Z] Top recommended movies for user id 72: [2025-06-07T22:19:00.878Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-07T22:19:00.878Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-07T22:19:00.878Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-07T22:19:00.878Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-07T22:19:00.878Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-07T22:19:00.878Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19529.324 ms) ====== [2025-06-07T22:19:00.878Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-07T22:19:00.878Z] GC before operation: completed in 174.668 ms, heap usage 439.325 MB -> 92.414 MB. [2025-06-07T22:19:03.784Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-07T22:19:06.684Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-07T22:19:09.591Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-07T22:19:11.802Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-07T22:19:13.426Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-07T22:19:15.051Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-07T22:19:16.674Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-07T22:19:18.295Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-07T22:19:18.620Z] 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. [2025-06-07T22:19:18.620Z] The best model improves the baseline by 14.34%. [2025-06-07T22:19:18.620Z] Top recommended movies for user id 72: [2025-06-07T22:19:18.620Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-07T22:19:18.620Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-07T22:19:18.620Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-07T22:19:18.620Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-07T22:19:18.620Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-07T22:19:18.620Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (17709.806 ms) ====== [2025-06-07T22:19:18.940Z] ----------------------------------- [2025-06-07T22:19:18.940Z] renaissance-movie-lens_0_PASSED [2025-06-07T22:19:18.940Z] ----------------------------------- [2025-06-07T22:19:18.940Z] [2025-06-07T22:19:18.941Z] TEST TEARDOWN: [2025-06-07T22:19:18.941Z] Nothing to be done for teardown. [2025-06-07T22:19:18.941Z] renaissance-movie-lens_0 Finish Time: Sat Jun 7 22:19:18 2025 Epoch Time (ms): 1749334758899