[2025-08-30T01:02:14.953Z] Running test renaissance-movie-lens_0 ... [2025-08-30T01:02:14.953Z] =============================================== [2025-08-30T01:02:14.953Z] renaissance-movie-lens_0 Start Time: Sat Aug 30 01:02:14 2025 Epoch Time (ms): 1756515734632 [2025-08-30T01:02:14.953Z] variation: NoOptions [2025-08-30T01:02:14.953Z] JVM_OPTIONS: [2025-08-30T01:02:14.953Z] { \ [2025-08-30T01:02:14.953Z] echo ""; echo "TEST SETUP:"; \ [2025-08-30T01:02:14.953Z] echo "Nothing to be done for setup."; \ [2025-08-30T01:02:14.953Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17565132981818/renaissance-movie-lens_0"; \ [2025-08-30T01:02:14.953Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17565132981818/renaissance-movie-lens_0"; \ [2025-08-30T01:02:14.953Z] echo ""; echo "TESTING:"; \ [2025-08-30T01:02:14.953Z] "/home/jenkins/workspace/Test_openjdk21_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_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17565132981818/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-08-30T01:02:14.953Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17565132981818/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-08-30T01:02:14.953Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-08-30T01:02:14.953Z] echo "Nothing to be done for teardown."; \ [2025-08-30T01:02:14.953Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17565132981818/TestTargetResult"; [2025-08-30T01:02:14.953Z] [2025-08-30T01:02:14.953Z] TEST SETUP: [2025-08-30T01:02:14.953Z] Nothing to be done for setup. [2025-08-30T01:02:14.953Z] [2025-08-30T01:02:14.953Z] TESTING: [2025-08-30T01:02:21.312Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-08-30T01:02:31.717Z] 01:02:30.809 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. [2025-08-30T01:02:34.668Z] Got 100004 ratings from 671 users on 9066 movies. [2025-08-30T01:02:36.064Z] Training: 60056, validation: 20285, test: 19854 [2025-08-30T01:02:36.064Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-08-30T01:02:36.064Z] GC before operation: completed in 248.298 ms, heap usage 262.360 MB -> 75.901 MB. [2025-08-30T01:02:44.683Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T01:02:52.059Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T01:02:58.106Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T01:03:04.533Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T01:03:06.687Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T01:03:09.561Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T01:03:12.547Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T01:03:16.267Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T01:03:16.267Z] 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. [2025-08-30T01:03:16.267Z] The best model improves the baseline by 14.34%. [2025-08-30T01:03:16.921Z] Top recommended movies for user id 72: [2025-08-30T01:03:16.921Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-30T01:03:16.921Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-30T01:03:16.921Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-30T01:03:16.921Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-30T01:03:16.921Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-30T01:03:16.921Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (41037.520 ms) ====== [2025-08-30T01:03:16.921Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-08-30T01:03:17.612Z] GC before operation: completed in 319.401 ms, heap usage 221.278 MB -> 89.192 MB. [2025-08-30T01:03:23.653Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T01:03:29.657Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T01:03:34.468Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T01:03:39.326Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T01:03:42.194Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T01:03:44.334Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T01:03:47.665Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T01:03:50.556Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T01:03:51.205Z] 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. [2025-08-30T01:03:51.205Z] The best model improves the baseline by 14.34%. [2025-08-30T01:03:51.205Z] Top recommended movies for user id 72: [2025-08-30T01:03:51.205Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-30T01:03:51.205Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-30T01:03:51.205Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-30T01:03:51.205Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-30T01:03:51.205Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-30T01:03:51.205Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (34148.375 ms) ====== [2025-08-30T01:03:51.205Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-08-30T01:03:51.922Z] GC before operation: completed in 230.258 ms, heap usage 143.078 MB -> 87.765 MB. [2025-08-30T01:03:56.784Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T01:04:00.543Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T01:04:06.469Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T01:04:10.303Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T01:04:13.266Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T01:04:16.173Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T01:04:18.274Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T01:04:20.397Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T01:04:21.030Z] 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. [2025-08-30T01:04:21.031Z] The best model improves the baseline by 14.34%. [2025-08-30T01:04:21.031Z] Top recommended movies for user id 72: [2025-08-30T01:04:21.031Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-30T01:04:21.031Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-30T01:04:21.031Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-30T01:04:21.031Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-30T01:04:21.031Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-30T01:04:21.031Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (29534.532 ms) ====== [2025-08-30T01:04:21.031Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-08-30T01:04:21.656Z] GC before operation: completed in 280.049 ms, heap usage 310.383 MB -> 88.717 MB. [2025-08-30T01:04:25.892Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T01:04:30.763Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T01:04:34.609Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T01:04:38.530Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T01:04:40.600Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T01:04:43.492Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T01:04:46.280Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T01:04:49.201Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T01:04:49.922Z] 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. [2025-08-30T01:04:49.922Z] The best model improves the baseline by 14.34%. [2025-08-30T01:04:49.922Z] Top recommended movies for user id 72: [2025-08-30T01:04:49.923Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-30T01:04:49.923Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-30T01:04:49.923Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-30T01:04:49.923Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-30T01:04:49.923Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-30T01:04:49.923Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (28454.367 ms) ====== [2025-08-30T01:04:49.923Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-08-30T01:04:50.584Z] GC before operation: completed in 537.423 ms, heap usage 211.262 MB -> 88.842 MB. [2025-08-30T01:04:55.512Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T01:05:00.397Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T01:05:05.737Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T01:05:10.539Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T01:05:12.631Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T01:05:16.385Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T01:05:18.458Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T01:05:21.401Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T01:05:22.002Z] 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. [2025-08-30T01:05:22.002Z] The best model improves the baseline by 14.34%. [2025-08-30T01:05:22.646Z] Top recommended movies for user id 72: [2025-08-30T01:05:22.646Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-30T01:05:22.646Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-30T01:05:22.646Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-30T01:05:22.646Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-30T01:05:22.646Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-30T01:05:22.646Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (31898.935 ms) ====== [2025-08-30T01:05:22.646Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-08-30T01:05:22.646Z] GC before operation: completed in 330.368 ms, heap usage 247.416 MB -> 88.908 MB. [2025-08-30T01:05:27.447Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T01:05:32.252Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T01:05:36.201Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T01:05:40.961Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T01:05:42.999Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T01:05:45.548Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T01:05:48.482Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T01:05:50.584Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T01:05:51.209Z] 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. [2025-08-30T01:05:51.209Z] The best model improves the baseline by 14.34%. [2025-08-30T01:05:51.826Z] Top recommended movies for user id 72: [2025-08-30T01:05:51.826Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-30T01:05:51.826Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-30T01:05:51.826Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-30T01:05:51.826Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-30T01:05:51.826Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-30T01:05:51.826Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (28958.878 ms) ====== [2025-08-30T01:05:51.826Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-08-30T01:05:51.826Z] GC before operation: completed in 485.866 ms, heap usage 218.136 MB -> 89.131 MB. [2025-08-30T01:05:56.604Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T01:06:01.362Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T01:06:06.139Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T01:06:11.005Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T01:06:13.061Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T01:06:15.171Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T01:06:18.021Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T01:06:20.929Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T01:06:20.929Z] 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. [2025-08-30T01:06:20.929Z] The best model improves the baseline by 14.34%. [2025-08-30T01:06:20.929Z] Top recommended movies for user id 72: [2025-08-30T01:06:20.929Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-30T01:06:20.929Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-30T01:06:20.929Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-30T01:06:20.929Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-30T01:06:20.929Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-30T01:06:20.929Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (29005.079 ms) ====== [2025-08-30T01:06:20.929Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-08-30T01:06:21.542Z] GC before operation: completed in 297.744 ms, heap usage 217.090 MB -> 89.055 MB. [2025-08-30T01:06:25.453Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T01:06:30.236Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T01:06:34.091Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T01:06:38.933Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T01:06:40.952Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T01:06:43.962Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T01:06:46.889Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T01:06:49.842Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T01:06:49.842Z] 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. [2025-08-30T01:06:49.842Z] The best model improves the baseline by 14.34%. [2025-08-30T01:06:49.842Z] Top recommended movies for user id 72: [2025-08-30T01:06:49.842Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-30T01:06:49.842Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-30T01:06:49.842Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-30T01:06:49.842Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-30T01:06:49.842Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-30T01:06:50.469Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (28714.340 ms) ====== [2025-08-30T01:06:50.469Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-08-30T01:06:50.469Z] GC before operation: completed in 325.531 ms, heap usage 228.391 MB -> 89.355 MB. [2025-08-30T01:06:55.432Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T01:06:59.281Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T01:07:04.216Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T01:07:08.066Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T01:07:10.957Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T01:07:13.947Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T01:07:16.858Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T01:07:19.734Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T01:07:20.351Z] 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. [2025-08-30T01:07:20.351Z] The best model improves the baseline by 14.34%. [2025-08-30T01:07:20.351Z] Top recommended movies for user id 72: [2025-08-30T01:07:20.351Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-30T01:07:20.351Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-30T01:07:20.351Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-30T01:07:20.351Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-30T01:07:20.351Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-30T01:07:20.351Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (30142.411 ms) ====== [2025-08-30T01:07:20.351Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-08-30T01:07:20.976Z] GC before operation: completed in 254.145 ms, heap usage 223.717 MB -> 89.189 MB. [2025-08-30T01:07:25.852Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T01:07:29.695Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T01:07:34.481Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T01:07:39.260Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T01:07:41.318Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T01:07:43.621Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T01:07:46.502Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T01:07:48.690Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T01:07:49.325Z] 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. [2025-08-30T01:07:49.325Z] The best model improves the baseline by 14.34%. [2025-08-30T01:07:49.325Z] Top recommended movies for user id 72: [2025-08-30T01:07:49.325Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-30T01:07:49.325Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-30T01:07:49.325Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-30T01:07:49.325Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-30T01:07:49.325Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-30T01:07:49.325Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (28540.784 ms) ====== [2025-08-30T01:07:49.325Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-08-30T01:07:49.942Z] GC before operation: completed in 272.047 ms, heap usage 148.343 MB -> 89.318 MB. [2025-08-30T01:07:53.696Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T01:07:57.405Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T01:08:00.307Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T01:08:03.202Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T01:08:05.196Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T01:08:07.221Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T01:08:09.227Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T01:08:10.851Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T01:08:11.562Z] 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. [2025-08-30T01:08:11.562Z] The best model improves the baseline by 14.34%. [2025-08-30T01:08:11.562Z] Top recommended movies for user id 72: [2025-08-30T01:08:11.562Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-30T01:08:11.562Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-30T01:08:11.562Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-30T01:08:11.562Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-30T01:08:11.562Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-30T01:08:11.562Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (21778.756 ms) ====== [2025-08-30T01:08:11.562Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-08-30T01:08:11.562Z] GC before operation: completed in 271.733 ms, heap usage 313.362 MB -> 89.299 MB. [2025-08-30T01:08:15.351Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T01:08:18.173Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T01:08:21.361Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T01:08:25.063Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T01:08:26.352Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T01:08:28.421Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T01:08:31.370Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T01:08:32.647Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T01:08:33.247Z] 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. [2025-08-30T01:08:33.247Z] The best model improves the baseline by 14.34%. [2025-08-30T01:08:33.247Z] Top recommended movies for user id 72: [2025-08-30T01:08:33.247Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-30T01:08:33.247Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-30T01:08:33.247Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-30T01:08:33.247Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-30T01:08:33.247Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-30T01:08:33.247Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (21664.704 ms) ====== [2025-08-30T01:08:33.247Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-08-30T01:08:33.931Z] GC before operation: completed in 175.546 ms, heap usage 305.256 MB -> 89.475 MB. [2025-08-30T01:08:36.802Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T01:08:40.550Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T01:08:44.279Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T01:08:48.007Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T01:08:50.051Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T01:08:52.072Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T01:08:54.901Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T01:08:56.612Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T01:08:57.245Z] 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. [2025-08-30T01:08:57.245Z] The best model improves the baseline by 14.34%. [2025-08-30T01:08:57.245Z] Top recommended movies for user id 72: [2025-08-30T01:08:57.245Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-30T01:08:57.245Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-30T01:08:57.245Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-30T01:08:57.245Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-30T01:08:57.245Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-30T01:08:57.245Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (23829.820 ms) ====== [2025-08-30T01:08:57.245Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-08-30T01:08:57.918Z] GC before operation: completed in 187.864 ms, heap usage 163.151 MB -> 89.308 MB. [2025-08-30T01:09:01.712Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T01:09:04.584Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T01:09:08.394Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T01:09:12.737Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T01:09:14.878Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T01:09:16.916Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T01:09:19.830Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T01:09:21.844Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T01:09:21.844Z] 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. [2025-08-30T01:09:21.844Z] The best model improves the baseline by 14.34%. [2025-08-30T01:09:22.468Z] Top recommended movies for user id 72: [2025-08-30T01:09:22.468Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-30T01:09:22.468Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-30T01:09:22.468Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-30T01:09:22.468Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-30T01:09:22.468Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-30T01:09:22.468Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (24603.855 ms) ====== [2025-08-30T01:09:22.468Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-08-30T01:09:22.468Z] GC before operation: completed in 381.726 ms, heap usage 217.910 MB -> 89.253 MB. [2025-08-30T01:09:27.393Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T01:09:30.262Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T01:09:34.044Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T01:09:38.157Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T01:09:40.167Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T01:09:42.218Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T01:09:45.100Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T01:09:46.450Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T01:09:47.073Z] 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. [2025-08-30T01:09:47.073Z] The best model improves the baseline by 14.34%. [2025-08-30T01:09:47.774Z] Top recommended movies for user id 72: [2025-08-30T01:09:47.774Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-30T01:09:47.774Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-30T01:09:47.774Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-30T01:09:47.774Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-30T01:09:47.774Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-30T01:09:47.774Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (24814.267 ms) ====== [2025-08-30T01:09:47.774Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-08-30T01:09:47.774Z] GC before operation: completed in 248.263 ms, heap usage 354.587 MB -> 89.799 MB. [2025-08-30T01:09:51.558Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T01:09:55.307Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T01:10:00.022Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T01:10:03.811Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T01:10:05.885Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T01:10:07.915Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T01:10:09.994Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T01:10:13.393Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T01:10:13.393Z] 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. [2025-08-30T01:10:13.393Z] The best model improves the baseline by 14.34%. [2025-08-30T01:10:13.393Z] Top recommended movies for user id 72: [2025-08-30T01:10:13.393Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-30T01:10:13.393Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-30T01:10:13.393Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-30T01:10:13.393Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-30T01:10:13.393Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-30T01:10:13.393Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (25789.139 ms) ====== [2025-08-30T01:10:13.393Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-08-30T01:10:13.393Z] GC before operation: completed in 194.220 ms, heap usage 166.815 MB -> 89.279 MB. [2025-08-30T01:10:17.191Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T01:10:20.024Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T01:10:23.698Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T01:10:25.683Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T01:10:27.692Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T01:10:29.730Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T01:10:31.767Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T01:10:33.533Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T01:10:34.181Z] 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. [2025-08-30T01:10:34.181Z] The best model improves the baseline by 14.34%. [2025-08-30T01:10:34.181Z] Top recommended movies for user id 72: [2025-08-30T01:10:34.181Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-30T01:10:34.181Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-30T01:10:34.181Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-30T01:10:34.181Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-30T01:10:34.181Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-30T01:10:34.181Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (20673.827 ms) ====== [2025-08-30T01:10:34.181Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-08-30T01:10:34.794Z] GC before operation: completed in 250.089 ms, heap usage 204.449 MB -> 89.399 MB. [2025-08-30T01:10:37.675Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T01:10:41.205Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T01:10:44.152Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T01:10:47.993Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T01:10:49.990Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T01:10:52.104Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T01:10:54.177Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T01:10:56.266Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T01:10:56.905Z] 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. [2025-08-30T01:10:56.906Z] The best model improves the baseline by 14.34%. [2025-08-30T01:10:56.906Z] Top recommended movies for user id 72: [2025-08-30T01:10:56.906Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-30T01:10:56.906Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-30T01:10:56.906Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-30T01:10:56.906Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-30T01:10:56.906Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-30T01:10:56.906Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (22399.207 ms) ====== [2025-08-30T01:10:56.906Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-08-30T01:10:56.906Z] GC before operation: completed in 192.975 ms, heap usage 141.145 MB -> 89.130 MB. [2025-08-30T01:11:00.647Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T01:11:04.404Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T01:11:07.228Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T01:11:10.982Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T01:11:13.089Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T01:11:15.112Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T01:11:17.142Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T01:11:19.220Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T01:11:19.220Z] 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. [2025-08-30T01:11:19.220Z] The best model improves the baseline by 14.34%. [2025-08-30T01:11:19.850Z] Top recommended movies for user id 72: [2025-08-30T01:11:19.850Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-30T01:11:19.850Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-30T01:11:19.850Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-30T01:11:19.850Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-30T01:11:19.850Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-30T01:11:19.850Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (22493.395 ms) ====== [2025-08-30T01:11:19.850Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-08-30T01:11:19.850Z] GC before operation: completed in 241.381 ms, heap usage 354.044 MB -> 89.619 MB. [2025-08-30T01:11:23.050Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T01:11:25.864Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T01:11:29.548Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T01:11:32.301Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T01:11:33.587Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T01:11:35.586Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T01:11:37.572Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T01:11:38.870Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T01:11:39.478Z] 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. [2025-08-30T01:11:39.478Z] The best model improves the baseline by 14.34%. [2025-08-30T01:11:39.478Z] Top recommended movies for user id 72: [2025-08-30T01:11:39.478Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-30T01:11:39.478Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-30T01:11:39.478Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-30T01:11:39.478Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-30T01:11:39.478Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-30T01:11:39.478Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19830.686 ms) ====== [2025-08-30T01:11:40.782Z] ----------------------------------- [2025-08-30T01:11:40.782Z] renaissance-movie-lens_0_PASSED [2025-08-30T01:11:40.782Z] ----------------------------------- [2025-08-30T01:11:40.782Z] [2025-08-30T01:11:40.782Z] TEST TEARDOWN: [2025-08-30T01:11:40.782Z] Nothing to be done for teardown. [2025-08-30T01:11:40.782Z] renaissance-movie-lens_0 Finish Time: Sat Aug 30 01:11:40 2025 Epoch Time (ms): 1756516300096