[2025-06-12T23:26:00.871Z] Running test renaissance-movie-lens_0 ... [2025-06-12T23:26:00.871Z] =============================================== [2025-06-12T23:26:00.871Z] renaissance-movie-lens_0 Start Time: Thu Jun 12 23:26:00 2025 Epoch Time (ms): 1749770760737 [2025-06-12T23:26:00.871Z] variation: NoOptions [2025-06-12T23:26:00.871Z] JVM_OPTIONS: [2025-06-12T23:26:00.871Z] { \ [2025-06-12T23:26:00.871Z] echo ""; echo "TEST SETUP:"; \ [2025-06-12T23:26:00.871Z] echo "Nothing to be done for setup."; \ [2025-06-12T23:26:00.871Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17497672028277/renaissance-movie-lens_0"; \ [2025-06-12T23:26:00.871Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17497672028277/renaissance-movie-lens_0"; \ [2025-06-12T23:26:00.871Z] echo ""; echo "TESTING:"; \ [2025-06-12T23:26:00.871Z] "/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_17497672028277/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-06-12T23:26:00.872Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17497672028277/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-12T23:26:00.872Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-12T23:26:00.872Z] echo "Nothing to be done for teardown."; \ [2025-06-12T23:26:00.872Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17497672028277/TestTargetResult"; [2025-06-12T23:26:00.872Z] [2025-06-12T23:26:00.872Z] TEST SETUP: [2025-06-12T23:26:00.872Z] Nothing to be done for setup. [2025-06-12T23:26:00.872Z] [2025-06-12T23:26:00.872Z] TESTING: [2025-06-12T23:26:03.001Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-06-12T23:26:03.001Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/output_17497672028277/renaissance-movie-lens_0/launcher-232601-9795990922777574812/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-06-12T23:26:03.001Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-06-12T23:26:03.001Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-06-12T23:26:21.031Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-06-12T23:26:30.380Z] 23:26:30.216 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2025-06-12T23:26:34.615Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-12T23:26:36.055Z] Training: 60056, validation: 20285, test: 19854 [2025-06-12T23:26:36.055Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-12T23:26:36.055Z] GC before operation: completed in 295.388 ms, heap usage 129.662 MB -> 75.555 MB. [2025-06-12T23:26:54.688Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T23:27:05.894Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T23:27:15.045Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T23:27:26.755Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T23:27:35.779Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T23:27:44.881Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T23:27:54.252Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T23:27:59.328Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T23:27:59.328Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-12T23:27:59.328Z] The best model improves the baseline by 14.34%. [2025-06-12T23:28:00.038Z] Top recommended movies for user id 72: [2025-06-12T23:28:00.038Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T23:28:00.038Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T23:28:00.038Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T23:28:00.038Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T23:28:00.038Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T23:28:00.038Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (83628.763 ms) ====== [2025-06-12T23:28:00.038Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-12T23:28:00.038Z] GC before operation: completed in 486.924 ms, heap usage 390.454 MB -> 89.301 MB. [2025-06-12T23:28:07.744Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T23:28:16.246Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T23:28:26.288Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T23:28:32.593Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T23:28:37.710Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T23:28:42.584Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T23:28:46.517Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T23:28:52.114Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T23:28:52.797Z] 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. [2025-06-12T23:28:52.797Z] The best model improves the baseline by 14.34%. [2025-06-12T23:28:53.454Z] Top recommended movies for user id 72: [2025-06-12T23:28:53.454Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T23:28:53.454Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T23:28:53.454Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T23:28:53.454Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T23:28:53.454Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T23:28:53.454Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (53166.658 ms) ====== [2025-06-12T23:28:53.454Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-12T23:28:54.131Z] GC before operation: completed in 447.751 ms, heap usage 233.872 MB -> 87.758 MB. [2025-06-12T23:29:00.582Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T23:29:14.193Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T23:29:22.347Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T23:29:28.607Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T23:29:30.805Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T23:29:34.996Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T23:29:38.685Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T23:29:40.865Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T23:29:41.538Z] 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. [2025-06-12T23:29:41.538Z] The best model improves the baseline by 14.34%. [2025-06-12T23:29:42.229Z] Top recommended movies for user id 72: [2025-06-12T23:29:42.229Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T23:29:42.229Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T23:29:42.229Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T23:29:42.229Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T23:29:42.229Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T23:29:42.229Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (48147.932 ms) ====== [2025-06-12T23:29:42.229Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-12T23:29:42.229Z] GC before operation: completed in 295.115 ms, heap usage 299.312 MB -> 88.435 MB. [2025-06-12T23:29:51.936Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T23:30:01.745Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T23:30:07.340Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T23:30:14.147Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T23:30:19.907Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T23:30:24.317Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T23:30:27.545Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T23:30:33.920Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T23:30:33.920Z] 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. [2025-06-12T23:30:33.920Z] The best model improves the baseline by 14.34%. [2025-06-12T23:30:33.920Z] Top recommended movies for user id 72: [2025-06-12T23:30:33.920Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T23:30:33.920Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T23:30:33.920Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T23:30:33.920Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T23:30:33.920Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T23:30:33.920Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (51577.027 ms) ====== [2025-06-12T23:30:33.920Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-12T23:30:33.920Z] GC before operation: completed in 303.059 ms, heap usage 202.759 MB -> 88.559 MB. [2025-06-12T23:30:43.817Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T23:30:49.243Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T23:30:55.665Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T23:31:02.086Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T23:31:12.099Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T23:31:16.328Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T23:31:18.521Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T23:31:20.765Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T23:31:20.765Z] 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. [2025-06-12T23:31:21.478Z] The best model improves the baseline by 14.34%. [2025-06-12T23:31:21.479Z] Top recommended movies for user id 72: [2025-06-12T23:31:21.479Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T23:31:21.479Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T23:31:21.479Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T23:31:21.479Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T23:31:21.479Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T23:31:21.479Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (47127.111 ms) ====== [2025-06-12T23:31:21.479Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-12T23:31:21.479Z] GC before operation: completed in 270.486 ms, heap usage 215.827 MB -> 88.490 MB. [2025-06-12T23:31:31.145Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T23:31:36.374Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T23:31:44.074Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T23:31:50.394Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T23:31:56.042Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T23:31:57.398Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T23:32:02.696Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T23:32:04.866Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T23:32:04.866Z] 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. [2025-06-12T23:32:05.538Z] The best model improves the baseline by 14.34%. [2025-06-12T23:32:05.538Z] Top recommended movies for user id 72: [2025-06-12T23:32:05.538Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T23:32:05.538Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T23:32:05.538Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T23:32:05.538Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T23:32:05.538Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T23:32:05.538Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (43913.521 ms) ====== [2025-06-12T23:32:05.538Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-12T23:32:05.538Z] GC before operation: completed in 348.862 ms, heap usage 210.932 MB -> 88.875 MB. [2025-06-12T23:32:13.642Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T23:32:17.621Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T23:32:24.079Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T23:32:28.150Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T23:32:31.273Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T23:32:34.456Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T23:32:39.855Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T23:32:43.876Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T23:32:43.876Z] 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. [2025-06-12T23:32:43.876Z] The best model improves the baseline by 14.34%. [2025-06-12T23:32:44.559Z] Top recommended movies for user id 72: [2025-06-12T23:32:44.559Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T23:32:44.559Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T23:32:44.559Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T23:32:44.559Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T23:32:44.559Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T23:32:44.559Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (38477.150 ms) ====== [2025-06-12T23:32:44.559Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-12T23:32:44.559Z] GC before operation: completed in 299.237 ms, heap usage 140.069 MB -> 88.788 MB. [2025-06-12T23:32:52.348Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T23:32:57.453Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T23:33:05.178Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T23:33:11.659Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T23:33:13.903Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T23:33:16.995Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T23:33:21.748Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T23:33:23.115Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T23:33:23.769Z] 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. [2025-06-12T23:33:23.769Z] The best model improves the baseline by 14.34%. [2025-06-12T23:33:23.769Z] Top recommended movies for user id 72: [2025-06-12T23:33:23.769Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T23:33:23.769Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T23:33:23.769Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T23:33:23.769Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T23:33:23.769Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T23:33:23.769Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (39425.824 ms) ====== [2025-06-12T23:33:23.769Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-12T23:33:24.494Z] GC before operation: completed in 386.098 ms, heap usage 212.269 MB -> 89.114 MB. [2025-06-12T23:33:30.607Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T23:33:38.769Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T23:33:47.608Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T23:33:54.007Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T23:33:57.245Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T23:34:02.407Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T23:34:05.508Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T23:34:08.672Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T23:34:09.415Z] 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. [2025-06-12T23:34:09.415Z] The best model improves the baseline by 14.34%. [2025-06-12T23:34:10.085Z] Top recommended movies for user id 72: [2025-06-12T23:34:10.085Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T23:34:10.085Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T23:34:10.085Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T23:34:10.085Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T23:34:10.085Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T23:34:10.085Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (45350.513 ms) ====== [2025-06-12T23:34:10.085Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-12T23:34:10.085Z] GC before operation: completed in 290.974 ms, heap usage 243.792 MB -> 89.014 MB. [2025-06-12T23:34:17.994Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T23:34:22.992Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T23:34:30.616Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T23:34:35.931Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T23:34:40.105Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T23:34:43.252Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T23:34:47.027Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T23:34:50.345Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T23:34:51.901Z] 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. [2025-06-12T23:34:52.776Z] The best model improves the baseline by 14.34%. [2025-06-12T23:34:52.776Z] Top recommended movies for user id 72: [2025-06-12T23:34:52.776Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T23:34:52.776Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T23:34:52.777Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T23:34:52.777Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T23:34:52.777Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T23:34:52.777Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (42699.250 ms) ====== [2025-06-12T23:34:52.777Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-12T23:34:55.063Z] GC before operation: completed in 1797.743 ms, heap usage 165.331 MB -> 89.135 MB. [2025-06-12T23:35:00.278Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T23:35:06.788Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T23:35:11.791Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T23:35:16.807Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T23:35:20.129Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T23:35:23.105Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T23:35:26.454Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T23:35:28.729Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T23:35:29.427Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-12T23:35:29.427Z] The best model improves the baseline by 14.34%. [2025-06-12T23:35:30.168Z] Top recommended movies for user id 72: [2025-06-12T23:35:30.168Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T23:35:30.168Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T23:35:30.168Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T23:35:30.168Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T23:35:30.168Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T23:35:30.168Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (35346.998 ms) ====== [2025-06-12T23:35:30.168Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-12T23:35:30.168Z] GC before operation: completed in 430.827 ms, heap usage 217.067 MB -> 89.010 MB. [2025-06-12T23:35:35.186Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T23:35:41.822Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T23:35:48.333Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T23:35:53.740Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T23:35:56.764Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T23:35:59.797Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T23:36:01.930Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T23:36:06.035Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T23:36:06.035Z] 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. [2025-06-12T23:36:06.035Z] The best model improves the baseline by 14.34%. [2025-06-12T23:36:06.035Z] Top recommended movies for user id 72: [2025-06-12T23:36:06.035Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T23:36:06.035Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T23:36:06.035Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T23:36:06.035Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T23:36:06.035Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T23:36:06.035Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (35858.348 ms) ====== [2025-06-12T23:36:06.035Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-12T23:36:07.326Z] GC before operation: completed in 491.401 ms, heap usage 108.541 MB -> 89.146 MB. [2025-06-12T23:36:13.415Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T23:36:18.441Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T23:36:32.787Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T23:36:36.715Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T23:36:40.010Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T23:36:44.108Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T23:36:48.471Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T23:36:52.459Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T23:36:52.459Z] 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. [2025-06-12T23:36:52.459Z] The best model improves the baseline by 14.34%. [2025-06-12T23:36:53.395Z] Top recommended movies for user id 72: [2025-06-12T23:36:53.395Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T23:36:53.395Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T23:36:53.395Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T23:36:53.395Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T23:36:53.395Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T23:36:53.395Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (46091.108 ms) ====== [2025-06-12T23:36:53.395Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-12T23:36:53.395Z] GC before operation: completed in 352.509 ms, heap usage 308.124 MB -> 89.425 MB. [2025-06-12T23:36:58.610Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T23:37:05.139Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T23:37:12.804Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T23:37:16.922Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T23:37:19.053Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T23:37:22.226Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T23:37:27.555Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T23:37:30.702Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T23:37:31.371Z] 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. [2025-06-12T23:37:31.371Z] The best model improves the baseline by 14.34%. [2025-06-12T23:37:31.371Z] Top recommended movies for user id 72: [2025-06-12T23:37:31.371Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T23:37:31.371Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T23:37:31.371Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T23:37:31.371Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T23:37:31.371Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T23:37:31.371Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (38248.847 ms) ====== [2025-06-12T23:37:31.371Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-12T23:37:32.031Z] GC before operation: completed in 429.842 ms, heap usage 303.708 MB -> 89.251 MB. [2025-06-12T23:37:36.620Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T23:37:43.046Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T23:37:51.508Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T23:38:02.006Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T23:38:05.009Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T23:38:09.463Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T23:38:12.750Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T23:38:15.882Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T23:38:16.567Z] 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. [2025-06-12T23:38:16.567Z] The best model improves the baseline by 14.34%. [2025-06-12T23:38:17.247Z] Top recommended movies for user id 72: [2025-06-12T23:38:17.247Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T23:38:17.247Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T23:38:17.247Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T23:38:17.247Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T23:38:17.247Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T23:38:17.247Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (45082.972 ms) ====== [2025-06-12T23:38:17.247Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-12T23:38:17.247Z] GC before operation: completed in 400.915 ms, heap usage 149.939 MB -> 89.231 MB. [2025-06-12T23:38:22.395Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T23:38:28.838Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T23:38:36.561Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T23:38:40.548Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T23:38:43.759Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T23:38:47.866Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T23:38:52.353Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T23:38:55.446Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T23:38:56.147Z] 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. [2025-06-12T23:38:56.147Z] The best model improves the baseline by 14.34%. [2025-06-12T23:38:56.147Z] Top recommended movies for user id 72: [2025-06-12T23:38:56.147Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T23:38:56.147Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T23:38:56.147Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T23:38:56.147Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T23:38:56.147Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T23:38:56.147Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (39079.973 ms) ====== [2025-06-12T23:38:56.147Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-12T23:38:56.825Z] GC before operation: completed in 344.235 ms, heap usage 190.635 MB -> 89.096 MB. [2025-06-12T23:39:03.220Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T23:39:07.239Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T23:39:15.138Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T23:39:23.543Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T23:39:26.765Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T23:39:33.853Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T23:39:39.401Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T23:39:41.787Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T23:39:44.276Z] 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. [2025-06-12T23:39:44.959Z] The best model improves the baseline by 14.34%. [2025-06-12T23:39:44.959Z] Top recommended movies for user id 72: [2025-06-12T23:39:44.959Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T23:39:44.959Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T23:39:44.959Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T23:39:44.959Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T23:39:44.959Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T23:39:44.959Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (48095.553 ms) ====== [2025-06-12T23:39:44.959Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-12T23:39:44.959Z] GC before operation: completed in 382.401 ms, heap usage 386.080 MB -> 89.641 MB. [2025-06-12T23:39:50.166Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T23:39:56.815Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T23:40:04.738Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T23:40:08.625Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T23:40:12.755Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T23:40:18.375Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T23:40:22.696Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T23:40:26.173Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T23:40:26.173Z] 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. [2025-06-12T23:40:26.971Z] The best model improves the baseline by 14.34%. [2025-06-12T23:40:26.971Z] Top recommended movies for user id 72: [2025-06-12T23:40:26.971Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T23:40:26.971Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T23:40:26.971Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T23:40:26.971Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T23:40:26.971Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T23:40:26.971Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (41326.498 ms) ====== [2025-06-12T23:40:26.971Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-12T23:40:26.971Z] GC before operation: completed in 395.201 ms, heap usage 234.325 MB -> 89.146 MB. [2025-06-12T23:40:35.615Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T23:40:42.590Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T23:40:46.587Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T23:40:51.943Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T23:40:55.079Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T23:40:59.008Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T23:41:07.868Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T23:41:12.633Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T23:41:13.328Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-12T23:41:13.328Z] The best model improves the baseline by 14.34%. [2025-06-12T23:41:13.328Z] Top recommended movies for user id 72: [2025-06-12T23:41:13.328Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T23:41:13.328Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T23:41:13.328Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T23:41:13.328Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T23:41:13.328Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T23:41:13.328Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (46630.368 ms) ====== [2025-06-12T23:41:13.328Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-12T23:41:14.188Z] GC before operation: completed in 383.353 ms, heap usage 165.482 MB -> 88.522 MB. [2025-06-12T23:41:17.230Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T23:41:21.489Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T23:41:37.852Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T23:41:41.796Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T23:41:46.092Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T23:41:50.307Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T23:41:56.005Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T23:41:58.795Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T23:41:59.659Z] 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. [2025-06-12T23:42:00.331Z] The best model improves the baseline by 14.34%. [2025-06-12T23:42:00.331Z] Top recommended movies for user id 72: [2025-06-12T23:42:00.331Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T23:42:00.331Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T23:42:00.331Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T23:42:00.331Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T23:42:00.331Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T23:42:00.331Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (46357.338 ms) ====== [2025-06-12T23:42:01.855Z] ----------------------------------- [2025-06-12T23:42:01.855Z] renaissance-movie-lens_0_PASSED [2025-06-12T23:42:01.855Z] ----------------------------------- [2025-06-12T23:42:01.855Z] [2025-06-12T23:42:01.855Z] TEST TEARDOWN: [2025-06-12T23:42:01.855Z] Nothing to be done for teardown. [2025-06-12T23:42:01.855Z] renaissance-movie-lens_0 Finish Time: Thu Jun 12 23:42:01 2025 Epoch Time (ms): 1749771721266