[2025-06-07T23:36:09.890Z] Running test renaissance-movie-lens_0 ... [2025-06-07T23:36:09.890Z] =============================================== [2025-06-07T23:36:09.890Z] renaissance-movie-lens_0 Start Time: Sat Jun 7 19:36:09 2025 Epoch Time (ms): 1749339369668 [2025-06-07T23:36:09.890Z] variation: NoOptions [2025-06-07T23:36:09.890Z] JVM_OPTIONS: [2025-06-07T23:36:09.890Z] { \ [2025-06-07T23:36:09.890Z] echo ""; echo "TEST SETUP:"; \ [2025-06-07T23:36:09.890Z] echo "Nothing to be done for setup."; \ [2025-06-07T23:36:09.890Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17493362426455/renaissance-movie-lens_0"; \ [2025-06-07T23:36:09.890Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17493362426455/renaissance-movie-lens_0"; \ [2025-06-07T23:36:09.890Z] echo ""; echo "TESTING:"; \ [2025-06-07T23:36:09.890Z] "/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_17493362426455/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-06-07T23:36:09.890Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17493362426455/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-07T23:36:09.890Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-07T23:36:09.890Z] echo "Nothing to be done for teardown."; \ [2025-06-07T23:36:09.890Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17493362426455/TestTargetResult"; [2025-06-07T23:36:09.890Z] [2025-06-07T23:36:09.890Z] TEST SETUP: [2025-06-07T23:36:09.890Z] Nothing to be done for setup. [2025-06-07T23:36:09.890Z] [2025-06-07T23:36:09.890Z] TESTING: [2025-06-07T23:36:12.240Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-06-07T23:36:12.240Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/output_17493362426455/renaissance-movie-lens_0/launcher-193610-14237811881764246361/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-06-07T23:36:12.240Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-06-07T23:36:12.240Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-06-07T23:36:23.117Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-06-07T23:36:36.989Z] 19:36:36.684 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. [2025-06-07T23:36:40.715Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-07T23:36:41.428Z] Training: 60056, validation: 20285, test: 19854 [2025-06-07T23:36:41.428Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-07T23:36:42.081Z] GC before operation: completed in 438.773 ms, heap usage 117.934 MB -> 75.690 MB. [2025-06-07T23:37:02.081Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-07T23:37:15.326Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-07T23:37:21.753Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-07T23:37:28.071Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-07T23:37:34.139Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-07T23:37:39.767Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-07T23:37:42.562Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-07T23:37:45.667Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-07T23:37:45.667Z] 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. [2025-06-07T23:37:45.667Z] The best model improves the baseline by 14.34%. [2025-06-07T23:37:46.379Z] Top recommended movies for user id 72: [2025-06-07T23:37:46.379Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-07T23:37:46.379Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-07T23:37:46.379Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-07T23:37:46.379Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-07T23:37:46.379Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-07T23:37:46.379Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (64222.907 ms) ====== [2025-06-07T23:37:46.379Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-07T23:37:46.380Z] GC before operation: completed in 278.884 ms, heap usage 222.951 MB -> 91.504 MB. [2025-06-07T23:37:54.232Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-07T23:37:58.317Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-07T23:38:02.295Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-07T23:38:06.462Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-07T23:38:09.478Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-07T23:38:11.702Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-07T23:38:14.717Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-07T23:38:17.075Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-07T23:38:17.763Z] 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. [2025-06-07T23:38:17.763Z] The best model improves the baseline by 14.34%. [2025-06-07T23:38:18.482Z] Top recommended movies for user id 72: [2025-06-07T23:38:18.482Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-07T23:38:18.482Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-07T23:38:18.482Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-07T23:38:18.483Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-07T23:38:18.483Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-07T23:38:18.483Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (31616.154 ms) ====== [2025-06-07T23:38:18.483Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-07T23:38:18.483Z] GC before operation: completed in 243.541 ms, heap usage 140.641 MB -> 87.977 MB. [2025-06-07T23:38:22.455Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-07T23:38:26.425Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-07T23:38:30.966Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-07T23:38:35.045Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-07T23:38:37.235Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-07T23:38:39.467Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-07T23:38:42.538Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-07T23:38:45.565Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-07T23:38:45.565Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-07T23:38:45.565Z] The best model improves the baseline by 14.34%. [2025-06-07T23:38:45.565Z] Top recommended movies for user id 72: [2025-06-07T23:38:45.565Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-07T23:38:45.565Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-07T23:38:45.565Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-07T23:38:45.565Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-07T23:38:45.565Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-07T23:38:45.565Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (27420.949 ms) ====== [2025-06-07T23:38:45.565Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-07T23:38:46.241Z] GC before operation: completed in 326.600 ms, heap usage 350.709 MB -> 88.627 MB. [2025-06-07T23:38:51.213Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-07T23:38:54.294Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-07T23:38:59.388Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-07T23:39:02.395Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-07T23:39:04.632Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-07T23:39:06.798Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-07T23:39:10.493Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-07T23:39:14.794Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-07T23:39:15.487Z] 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. [2025-06-07T23:39:16.198Z] The best model improves the baseline by 14.34%. [2025-06-07T23:39:16.885Z] Top recommended movies for user id 72: [2025-06-07T23:39:16.885Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-07T23:39:16.885Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-07T23:39:16.885Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-07T23:39:16.885Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-07T23:39:16.885Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-07T23:39:16.885Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (30541.700 ms) ====== [2025-06-07T23:39:16.885Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-07T23:39:17.716Z] GC before operation: completed in 686.965 ms, heap usage 205.563 MB -> 88.591 MB. [2025-06-07T23:39:24.067Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-07T23:39:29.667Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-07T23:39:34.669Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-07T23:39:37.833Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-07T23:39:40.061Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-07T23:39:42.264Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-07T23:39:46.601Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-07T23:39:49.855Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-07T23:39:50.617Z] 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. [2025-06-07T23:39:50.617Z] The best model improves the baseline by 14.34%. [2025-06-07T23:39:50.617Z] Top recommended movies for user id 72: [2025-06-07T23:39:50.617Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-07T23:39:50.617Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-07T23:39:50.617Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-07T23:39:50.617Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-07T23:39:50.617Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-07T23:39:50.617Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (33290.878 ms) ====== [2025-06-07T23:39:50.617Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-07T23:39:51.375Z] GC before operation: completed in 651.611 ms, heap usage 121.087 MB -> 88.774 MB. [2025-06-07T23:39:56.631Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-07T23:40:03.383Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-07T23:40:07.407Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-07T23:40:10.454Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-07T23:40:13.619Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-07T23:40:15.903Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-07T23:40:21.151Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-07T23:40:22.631Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-07T23:40:23.413Z] 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. [2025-06-07T23:40:23.413Z] The best model improves the baseline by 14.34%. [2025-06-07T23:40:23.413Z] Top recommended movies for user id 72: [2025-06-07T23:40:23.413Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-07T23:40:23.413Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-07T23:40:23.413Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-07T23:40:23.413Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-07T23:40:23.413Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-07T23:40:23.413Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (32096.874 ms) ====== [2025-06-07T23:40:23.413Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-07T23:40:23.413Z] GC before operation: completed in 294.283 ms, heap usage 247.196 MB -> 89.173 MB. [2025-06-07T23:40:28.473Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-07T23:40:32.579Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-07T23:40:38.103Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-07T23:40:42.614Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-07T23:40:44.924Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-07T23:40:49.174Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-07T23:40:51.420Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-07T23:40:55.613Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-07T23:40:55.613Z] 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. [2025-06-07T23:40:55.613Z] The best model improves the baseline by 14.34%. [2025-06-07T23:40:55.613Z] Top recommended movies for user id 72: [2025-06-07T23:40:55.613Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-07T23:40:55.613Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-07T23:40:55.613Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-07T23:40:55.613Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-07T23:40:55.613Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-07T23:40:55.613Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (32025.518 ms) ====== [2025-06-07T23:40:55.613Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-07T23:40:56.304Z] GC before operation: completed in 423.842 ms, heap usage 223.938 MB -> 88.958 MB. [2025-06-07T23:41:01.322Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-07T23:41:05.360Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-07T23:41:10.538Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-07T23:41:14.882Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-07T23:41:17.967Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-07T23:41:20.101Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-07T23:41:27.213Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-07T23:41:29.122Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-07T23:41:29.858Z] 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. [2025-06-07T23:41:29.858Z] The best model improves the baseline by 14.34%. [2025-06-07T23:41:29.858Z] Top recommended movies for user id 72: [2025-06-07T23:41:29.858Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-07T23:41:29.858Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-07T23:41:29.858Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-07T23:41:29.858Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-07T23:41:29.858Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-07T23:41:29.858Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (33739.113 ms) ====== [2025-06-07T23:41:29.858Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-07T23:41:30.545Z] GC before operation: completed in 385.638 ms, heap usage 140.103 MB -> 89.111 MB. [2025-06-07T23:41:35.973Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-07T23:41:40.081Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-07T23:41:44.237Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-07T23:41:49.420Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-07T23:41:52.500Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-07T23:41:55.635Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-07T23:41:57.861Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-07T23:42:00.086Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-07T23:42:00.086Z] 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. [2025-06-07T23:42:00.086Z] The best model improves the baseline by 14.34%. [2025-06-07T23:42:00.787Z] Top recommended movies for user id 72: [2025-06-07T23:42:00.787Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-07T23:42:00.787Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-07T23:42:00.787Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-07T23:42:00.787Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-07T23:42:00.787Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-07T23:42:00.787Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (30492.081 ms) ====== [2025-06-07T23:42:00.787Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-07T23:42:00.787Z] GC before operation: completed in 249.892 ms, heap usage 222.276 MB -> 89.042 MB. [2025-06-07T23:42:04.824Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-07T23:42:07.811Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-07T23:42:12.345Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-07T23:42:16.487Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-07T23:42:18.789Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-07T23:42:22.058Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-07T23:42:25.222Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-07T23:42:27.561Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-07T23:42:28.326Z] 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. [2025-06-07T23:42:28.326Z] The best model improves the baseline by 14.34%. [2025-06-07T23:42:28.326Z] Top recommended movies for user id 72: [2025-06-07T23:42:28.326Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-07T23:42:28.326Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-07T23:42:28.326Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-07T23:42:28.326Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-07T23:42:28.326Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-07T23:42:28.326Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (27297.944 ms) ====== [2025-06-07T23:42:28.326Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-07T23:42:28.326Z] GC before operation: completed in 310.634 ms, heap usage 386.401 MB -> 89.437 MB. [2025-06-07T23:42:32.219Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-07T23:42:35.222Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-07T23:42:40.321Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-07T23:42:43.316Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-07T23:42:46.499Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-07T23:42:49.608Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-07T23:42:51.407Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-07T23:42:53.716Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-07T23:42:54.366Z] 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. [2025-06-07T23:42:54.366Z] The best model improves the baseline by 14.34%. [2025-06-07T23:42:54.366Z] Top recommended movies for user id 72: [2025-06-07T23:42:54.366Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-07T23:42:54.366Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-07T23:42:54.366Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-07T23:42:54.367Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-07T23:42:54.367Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-07T23:42:54.367Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (25929.952 ms) ====== [2025-06-07T23:42:54.367Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-07T23:42:55.063Z] GC before operation: completed in 336.254 ms, heap usage 140.338 MB -> 88.924 MB. [2025-06-07T23:42:59.072Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-07T23:43:03.058Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-07T23:43:07.152Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-07T23:43:11.294Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-07T23:43:13.510Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-07T23:43:15.802Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-07T23:43:18.851Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-07T23:43:21.112Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-07T23:43:21.840Z] 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. [2025-06-07T23:43:21.840Z] The best model improves the baseline by 14.34%. [2025-06-07T23:43:21.840Z] Top recommended movies for user id 72: [2025-06-07T23:43:21.840Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-07T23:43:21.840Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-07T23:43:21.840Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-07T23:43:21.840Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-07T23:43:21.840Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-07T23:43:21.840Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (27104.958 ms) ====== [2025-06-07T23:43:21.840Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-07T23:43:22.584Z] GC before operation: completed in 303.016 ms, heap usage 226.027 MB -> 89.717 MB. [2025-06-07T23:43:27.701Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-07T23:43:32.918Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-07T23:43:37.581Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-07T23:43:42.753Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-07T23:43:44.895Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-07T23:43:47.973Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-07T23:43:51.251Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-07T23:43:54.408Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-07T23:43:54.408Z] 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. [2025-06-07T23:43:55.191Z] The best model improves the baseline by 14.34%. [2025-06-07T23:43:55.191Z] Top recommended movies for user id 72: [2025-06-07T23:43:55.191Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-07T23:43:55.191Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-07T23:43:55.191Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-07T23:43:55.191Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-07T23:43:55.191Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-07T23:43:55.191Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (32863.239 ms) ====== [2025-06-07T23:43:55.191Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-07T23:43:55.876Z] GC before operation: completed in 491.032 ms, heap usage 233.023 MB -> 89.233 MB. [2025-06-07T23:44:01.128Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-07T23:44:06.378Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-07T23:44:11.933Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-07T23:44:15.078Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-07T23:44:20.140Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-07T23:44:22.367Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-07T23:44:24.652Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-07T23:44:26.857Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-07T23:44:27.541Z] 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. [2025-06-07T23:44:27.541Z] The best model improves the baseline by 14.34%. [2025-06-07T23:44:27.541Z] Top recommended movies for user id 72: [2025-06-07T23:44:27.541Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-07T23:44:27.541Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-07T23:44:27.541Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-07T23:44:27.541Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-07T23:44:27.541Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-07T23:44:27.541Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (32141.174 ms) ====== [2025-06-07T23:44:27.541Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-07T23:44:28.347Z] GC before operation: completed in 436.100 ms, heap usage 226.686 MB -> 89.152 MB. [2025-06-07T23:44:33.409Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-07T23:44:37.523Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-07T23:44:41.539Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-07T23:44:46.802Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-07T23:44:49.850Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-07T23:44:52.892Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-07T23:44:54.340Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-07T23:44:57.484Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-07T23:44:57.484Z] 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. [2025-06-07T23:44:57.484Z] The best model improves the baseline by 14.34%. [2025-06-07T23:44:57.484Z] Top recommended movies for user id 72: [2025-06-07T23:44:57.484Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-07T23:44:57.484Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-07T23:44:57.484Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-07T23:44:57.484Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-07T23:44:57.484Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-07T23:44:57.484Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (29533.520 ms) ====== [2025-06-07T23:44:57.484Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-07T23:44:58.143Z] GC before operation: completed in 267.946 ms, heap usage 210.168 MB -> 89.233 MB. [2025-06-07T23:45:02.334Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-07T23:45:06.417Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-07T23:45:10.469Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-07T23:45:13.561Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-07T23:45:16.611Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-07T23:45:18.167Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-07T23:45:20.335Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-07T23:45:23.548Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-07T23:45:23.548Z] 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. [2025-06-07T23:45:24.230Z] The best model improves the baseline by 14.34%. [2025-06-07T23:45:24.230Z] Top recommended movies for user id 72: [2025-06-07T23:45:24.230Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-07T23:45:24.230Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-07T23:45:24.230Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-07T23:45:24.230Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-07T23:45:24.230Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-07T23:45:24.230Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (26185.901 ms) ====== [2025-06-07T23:45:24.230Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-07T23:45:24.892Z] GC before operation: completed in 426.830 ms, heap usage 217.320 MB -> 89.424 MB. [2025-06-07T23:45:28.980Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-07T23:45:33.218Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-07T23:45:37.172Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-07T23:45:40.157Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-07T23:45:43.098Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-07T23:45:45.301Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-07T23:45:48.396Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-07T23:45:49.838Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-07T23:45:50.490Z] 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. [2025-06-07T23:45:51.177Z] The best model improves the baseline by 14.34%. [2025-06-07T23:45:51.177Z] Top recommended movies for user id 72: [2025-06-07T23:45:51.177Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-07T23:45:51.177Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-07T23:45:51.177Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-07T23:45:51.177Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-07T23:45:51.177Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-07T23:45:51.177Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (26434.931 ms) ====== [2025-06-07T23:45:51.177Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-07T23:45:51.177Z] GC before operation: completed in 301.526 ms, heap usage 162.740 MB -> 89.141 MB. [2025-06-07T23:45:55.314Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-07T23:46:00.405Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-07T23:46:05.587Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-07T23:46:09.661Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-07T23:46:11.943Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-07T23:46:14.947Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-07T23:46:17.126Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-07T23:46:18.544Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-07T23:46:18.544Z] 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. [2025-06-07T23:46:18.544Z] The best model improves the baseline by 14.34%. [2025-06-07T23:46:19.254Z] Top recommended movies for user id 72: [2025-06-07T23:46:19.254Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-07T23:46:19.254Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-07T23:46:19.254Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-07T23:46:19.254Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-07T23:46:19.254Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-07T23:46:19.254Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (27761.297 ms) ====== [2025-06-07T23:46:19.254Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-07T23:46:19.254Z] GC before operation: completed in 250.920 ms, heap usage 179.862 MB -> 88.950 MB. [2025-06-07T23:46:23.408Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-07T23:46:26.463Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-07T23:46:30.009Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-07T23:46:33.968Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-07T23:46:36.201Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-07T23:46:39.407Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-07T23:46:42.623Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-07T23:46:44.862Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-07T23:46:45.567Z] 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. [2025-06-07T23:46:45.567Z] The best model improves the baseline by 14.34%. [2025-06-07T23:46:45.567Z] Top recommended movies for user id 72: [2025-06-07T23:46:45.567Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-07T23:46:45.567Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-07T23:46:45.567Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-07T23:46:45.567Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-07T23:46:45.567Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-07T23:46:45.567Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (26171.463 ms) ====== [2025-06-07T23:46:45.567Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-07T23:46:45.567Z] GC before operation: completed in 264.884 ms, heap usage 202.120 MB -> 89.102 MB. [2025-06-07T23:46:49.454Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-07T23:46:54.579Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-07T23:46:58.773Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-07T23:47:01.821Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-07T23:47:04.773Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-07T23:47:07.332Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-07T23:47:08.694Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-07T23:47:10.897Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-07T23:47:11.545Z] 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. [2025-06-07T23:47:11.545Z] The best model improves the baseline by 14.34%. [2025-06-07T23:47:11.545Z] Top recommended movies for user id 72: [2025-06-07T23:47:11.545Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-07T23:47:11.545Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-07T23:47:11.545Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-07T23:47:11.545Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-07T23:47:11.545Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-07T23:47:11.545Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (25735.967 ms) ====== [2025-06-07T23:47:12.237Z] ----------------------------------- [2025-06-07T23:47:12.237Z] renaissance-movie-lens_0_PASSED [2025-06-07T23:47:12.237Z] ----------------------------------- [2025-06-07T23:47:12.237Z] [2025-06-07T23:47:12.237Z] TEST TEARDOWN: [2025-06-07T23:47:12.237Z] Nothing to be done for teardown. [2025-06-07T23:47:12.237Z] renaissance-movie-lens_0 Finish Time: Sat Jun 7 19:47:11 2025 Epoch Time (ms): 1749340031839