[2025-06-19T03:52:44.156Z] Running test renaissance-movie-lens_0 ... [2025-06-19T03:52:44.156Z] =============================================== [2025-06-19T03:52:44.156Z] renaissance-movie-lens_0 Start Time: Thu Jun 19 03:52:43 2025 Epoch Time (ms): 1750305163848 [2025-06-19T03:52:44.156Z] variation: NoOptions [2025-06-19T03:52:44.156Z] JVM_OPTIONS: [2025-06-19T03:52:44.156Z] { \ [2025-06-19T03:52:44.156Z] echo ""; echo "TEST SETUP:"; \ [2025-06-19T03:52:44.156Z] echo "Nothing to be done for setup."; \ [2025-06-19T03:52:44.156Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17503031877704/renaissance-movie-lens_0"; \ [2025-06-19T03:52:44.156Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17503031877704/renaissance-movie-lens_0"; \ [2025-06-19T03:52:44.156Z] echo ""; echo "TESTING:"; \ [2025-06-19T03:52:44.156Z] "/home/jenkins/workspace/Test_openjdk17_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_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17503031877704/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-06-19T03:52:44.156Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17503031877704/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-19T03:52:44.156Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-19T03:52:44.156Z] echo "Nothing to be done for teardown."; \ [2025-06-19T03:52:44.156Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17503031877704/TestTargetResult"; [2025-06-19T03:52:44.156Z] [2025-06-19T03:52:44.156Z] TEST SETUP: [2025-06-19T03:52:44.156Z] Nothing to be done for setup. [2025-06-19T03:52:44.156Z] [2025-06-19T03:52:44.156Z] TESTING: [2025-06-19T03:52:48.891Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-06-19T03:52:54.135Z] 03:52:54.001 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. [2025-06-19T03:52:57.102Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-19T03:52:57.849Z] Training: 60056, validation: 20285, test: 19854 [2025-06-19T03:52:57.849Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-19T03:52:57.849Z] GC before operation: completed in 208.131 ms, heap usage 192.884 MB -> 75.471 MB. [2025-06-19T03:53:04.183Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T03:53:08.925Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T03:53:12.752Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T03:53:16.579Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T03:53:18.681Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T03:53:20.779Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T03:53:22.876Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T03:53:24.984Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T03:53:25.604Z] 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. [2025-06-19T03:53:25.604Z] The best model improves the baseline by 14.34%. [2025-06-19T03:53:25.604Z] Top recommended movies for user id 72: [2025-06-19T03:53:25.604Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T03:53:25.604Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T03:53:25.604Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T03:53:25.604Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T03:53:25.604Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T03:53:25.604Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (28116.691 ms) ====== [2025-06-19T03:53:25.604Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-19T03:53:26.242Z] GC before operation: completed in 199.774 ms, heap usage 456.867 MB -> 100.784 MB. [2025-06-19T03:53:29.135Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T03:53:32.016Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T03:53:35.805Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T03:53:38.684Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T03:53:40.750Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T03:53:42.819Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T03:53:44.262Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T03:53:46.368Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T03:53:46.368Z] 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. [2025-06-19T03:53:46.368Z] The best model improves the baseline by 14.34%. [2025-06-19T03:53:47.020Z] Top recommended movies for user id 72: [2025-06-19T03:53:47.020Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T03:53:47.020Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T03:53:47.020Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T03:53:47.020Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T03:53:47.020Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T03:53:47.020Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (20822.930 ms) ====== [2025-06-19T03:53:47.020Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-19T03:53:47.020Z] GC before operation: completed in 125.040 ms, heap usage 183.087 MB -> 87.602 MB. [2025-06-19T03:53:49.077Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T03:53:51.945Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T03:53:54.822Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T03:53:57.823Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T03:53:59.894Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T03:54:02.043Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T03:54:04.191Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T03:54:06.604Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T03:54:06.604Z] 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. [2025-06-19T03:54:06.604Z] The best model improves the baseline by 14.34%. [2025-06-19T03:54:06.604Z] Top recommended movies for user id 72: [2025-06-19T03:54:06.604Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T03:54:06.604Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T03:54:06.604Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T03:54:06.604Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T03:54:06.604Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T03:54:06.604Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (18775.593 ms) ====== [2025-06-19T03:54:06.604Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-19T03:54:06.604Z] GC before operation: completed in 131.390 ms, heap usage 216.987 MB -> 88.322 MB. [2025-06-19T03:54:07.904Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T03:54:10.757Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T03:54:13.612Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T03:54:16.470Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T03:54:18.521Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T03:54:19.864Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T03:54:21.954Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T03:54:24.780Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T03:54:24.780Z] 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. [2025-06-19T03:54:24.780Z] The best model improves the baseline by 14.34%. [2025-06-19T03:54:24.780Z] Top recommended movies for user id 72: [2025-06-19T03:54:24.780Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T03:54:24.780Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T03:54:24.780Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T03:54:24.780Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T03:54:24.780Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T03:54:24.780Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (18520.478 ms) ====== [2025-06-19T03:54:24.780Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-19T03:54:24.780Z] GC before operation: completed in 184.380 ms, heap usage 226.169 MB -> 88.635 MB. [2025-06-19T03:54:27.087Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T03:54:30.122Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T03:54:34.075Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T03:54:36.235Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T03:54:38.312Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T03:54:39.624Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T03:54:41.723Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T03:54:43.040Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T03:54:43.694Z] 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. [2025-06-19T03:54:43.694Z] The best model improves the baseline by 14.34%. [2025-06-19T03:54:43.694Z] Top recommended movies for user id 72: [2025-06-19T03:54:43.694Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T03:54:43.694Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T03:54:43.694Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T03:54:43.694Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T03:54:43.694Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T03:54:43.694Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19354.582 ms) ====== [2025-06-19T03:54:43.694Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-19T03:54:44.317Z] GC before operation: completed in 134.654 ms, heap usage 143.983 MB -> 88.461 MB. [2025-06-19T03:54:46.739Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T03:54:49.741Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T03:54:52.802Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T03:54:54.857Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T03:54:56.223Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T03:54:57.958Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T03:54:59.343Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T03:55:01.509Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T03:55:01.509Z] 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. [2025-06-19T03:55:01.509Z] The best model improves the baseline by 14.34%. [2025-06-19T03:55:01.509Z] Top recommended movies for user id 72: [2025-06-19T03:55:01.509Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T03:55:01.509Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T03:55:01.509Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T03:55:01.509Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T03:55:01.509Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T03:55:01.509Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (17568.196 ms) ====== [2025-06-19T03:55:01.509Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-19T03:55:01.509Z] GC before operation: completed in 170.509 ms, heap usage 204.654 MB -> 88.836 MB. [2025-06-19T03:55:04.951Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T03:55:07.978Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T03:55:10.882Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T03:55:13.791Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T03:55:15.890Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T03:55:17.613Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T03:55:19.187Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T03:55:19.911Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T03:55:20.657Z] 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. [2025-06-19T03:55:20.657Z] The best model improves the baseline by 14.34%. [2025-06-19T03:55:20.657Z] Top recommended movies for user id 72: [2025-06-19T03:55:20.657Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T03:55:20.657Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T03:55:20.657Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T03:55:20.657Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T03:55:20.657Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T03:55:20.657Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (18941.788 ms) ====== [2025-06-19T03:55:20.657Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-19T03:55:20.657Z] GC before operation: completed in 166.039 ms, heap usage 228.609 MB -> 88.902 MB. [2025-06-19T03:55:23.689Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T03:55:25.736Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T03:55:28.604Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T03:55:30.663Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T03:55:31.970Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T03:55:33.301Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T03:55:35.380Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T03:55:36.697Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T03:55:36.697Z] 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. [2025-06-19T03:55:36.697Z] The best model improves the baseline by 14.34%. [2025-06-19T03:55:37.323Z] Top recommended movies for user id 72: [2025-06-19T03:55:37.323Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T03:55:37.323Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T03:55:37.323Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T03:55:37.323Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T03:55:37.323Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T03:55:37.323Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (16175.840 ms) ====== [2025-06-19T03:55:37.323Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-19T03:55:37.323Z] GC before operation: completed in 149.648 ms, heap usage 283.287 MB -> 89.196 MB. [2025-06-19T03:55:39.412Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T03:55:42.253Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T03:55:44.418Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T03:55:46.902Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T03:55:48.207Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T03:55:49.548Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T03:55:51.606Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T03:55:52.913Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T03:55:52.913Z] 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. [2025-06-19T03:55:52.913Z] The best model improves the baseline by 14.34%. [2025-06-19T03:55:52.913Z] Top recommended movies for user id 72: [2025-06-19T03:55:52.913Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T03:55:52.913Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T03:55:52.913Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T03:55:52.913Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T03:55:52.913Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T03:55:52.913Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15986.555 ms) ====== [2025-06-19T03:55:52.914Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-19T03:55:53.538Z] GC before operation: completed in 121.099 ms, heap usage 307.417 MB -> 89.183 MB. [2025-06-19T03:55:55.569Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T03:55:57.603Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T03:56:00.456Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T03:56:02.508Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T03:56:03.834Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T03:56:05.202Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T03:56:06.501Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T03:56:07.803Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T03:56:07.803Z] 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. [2025-06-19T03:56:07.803Z] The best model improves the baseline by 14.34%. [2025-06-19T03:56:07.803Z] Top recommended movies for user id 72: [2025-06-19T03:56:07.803Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T03:56:07.803Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T03:56:07.803Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T03:56:07.803Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T03:56:07.803Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T03:56:07.803Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14547.060 ms) ====== [2025-06-19T03:56:07.803Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-19T03:56:07.803Z] GC before operation: completed in 136.626 ms, heap usage 356.143 MB -> 89.416 MB. [2025-06-19T03:56:10.686Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T03:56:12.740Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T03:56:14.817Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T03:56:17.708Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T03:56:19.022Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T03:56:20.345Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T03:56:22.032Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T03:56:23.364Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T03:56:23.999Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-19T03:56:23.999Z] The best model improves the baseline by 14.34%. [2025-06-19T03:56:23.999Z] Top recommended movies for user id 72: [2025-06-19T03:56:23.999Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T03:56:23.999Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T03:56:23.999Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T03:56:23.999Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T03:56:23.999Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T03:56:23.999Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15915.775 ms) ====== [2025-06-19T03:56:23.999Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-19T03:56:23.999Z] GC before operation: completed in 174.654 ms, heap usage 228.155 MB -> 88.996 MB. [2025-06-19T03:56:26.890Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T03:56:29.370Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T03:56:31.532Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T03:56:34.015Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T03:56:35.463Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T03:56:36.855Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T03:56:38.945Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T03:56:40.271Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T03:56:40.964Z] 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. [2025-06-19T03:56:40.964Z] The best model improves the baseline by 14.34%. [2025-06-19T03:56:40.964Z] Top recommended movies for user id 72: [2025-06-19T03:56:40.964Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T03:56:40.964Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T03:56:40.964Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T03:56:40.964Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T03:56:40.964Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T03:56:40.964Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (17033.770 ms) ====== [2025-06-19T03:56:40.964Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-19T03:56:41.614Z] GC before operation: completed in 158.636 ms, heap usage 167.937 MB -> 88.992 MB. [2025-06-19T03:56:43.693Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T03:56:46.594Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T03:56:49.535Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T03:56:52.886Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T03:56:54.228Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T03:56:56.313Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T03:56:58.458Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T03:57:00.593Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T03:57:01.249Z] 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. [2025-06-19T03:57:01.249Z] The best model improves the baseline by 14.34%. [2025-06-19T03:57:01.249Z] Top recommended movies for user id 72: [2025-06-19T03:57:01.249Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T03:57:01.249Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T03:57:01.249Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T03:57:01.249Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T03:57:01.249Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T03:57:01.249Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (20142.155 ms) ====== [2025-06-19T03:57:01.249Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-19T03:57:01.878Z] GC before operation: completed in 183.185 ms, heap usage 164.995 MB -> 90.374 MB. [2025-06-19T03:57:03.931Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T03:57:07.005Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T03:57:09.971Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T03:57:12.895Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T03:57:15.002Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T03:57:16.051Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T03:57:18.220Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T03:57:19.779Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T03:57:19.779Z] 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. [2025-06-19T03:57:19.779Z] The best model improves the baseline by 14.34%. [2025-06-19T03:57:20.443Z] Top recommended movies for user id 72: [2025-06-19T03:57:20.443Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T03:57:20.443Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T03:57:20.443Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T03:57:20.443Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T03:57:20.443Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T03:57:20.443Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18583.143 ms) ====== [2025-06-19T03:57:20.443Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-19T03:57:20.443Z] GC before operation: completed in 210.974 ms, heap usage 140.180 MB -> 88.877 MB. [2025-06-19T03:57:23.426Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T03:57:26.358Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T03:57:30.273Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T03:57:33.304Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T03:57:34.649Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T03:57:36.703Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T03:57:39.014Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T03:57:40.360Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T03:57:40.360Z] 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. [2025-06-19T03:57:40.360Z] The best model improves the baseline by 14.34%. [2025-06-19T03:57:40.988Z] Top recommended movies for user id 72: [2025-06-19T03:57:40.988Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T03:57:40.988Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T03:57:40.988Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T03:57:40.988Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T03:57:40.988Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T03:57:40.988Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (20301.568 ms) ====== [2025-06-19T03:57:40.988Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-19T03:57:40.988Z] GC before operation: completed in 174.459 ms, heap usage 318.727 MB -> 89.406 MB. [2025-06-19T03:57:43.896Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T03:57:46.875Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T03:57:49.848Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T03:57:52.750Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T03:57:54.073Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T03:57:56.176Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T03:57:58.258Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T03:57:59.615Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T03:57:59.615Z] 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. [2025-06-19T03:57:59.615Z] The best model improves the baseline by 14.34%. [2025-06-19T03:58:00.316Z] Top recommended movies for user id 72: [2025-06-19T03:58:00.316Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T03:58:00.316Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T03:58:00.316Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T03:58:00.316Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T03:58:00.316Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T03:58:00.316Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19193.273 ms) ====== [2025-06-19T03:58:00.316Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-19T03:58:00.316Z] GC before operation: completed in 268.376 ms, heap usage 260.106 MB -> 89.195 MB. [2025-06-19T03:58:03.306Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T03:58:06.299Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T03:58:09.219Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T03:58:11.300Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T03:58:13.860Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T03:58:14.519Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T03:58:15.823Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T03:58:17.145Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T03:58:17.777Z] 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. [2025-06-19T03:58:17.777Z] The best model improves the baseline by 14.34%. [2025-06-19T03:58:17.777Z] Top recommended movies for user id 72: [2025-06-19T03:58:17.777Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T03:58:17.777Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T03:58:17.777Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T03:58:17.777Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T03:58:17.777Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T03:58:17.777Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (17498.280 ms) ====== [2025-06-19T03:58:17.777Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-19T03:58:17.777Z] GC before operation: completed in 165.352 ms, heap usage 427.538 MB -> 89.594 MB. [2025-06-19T03:58:20.717Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T03:58:23.652Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T03:58:26.553Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T03:58:28.630Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T03:58:30.877Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T03:58:32.376Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T03:58:34.477Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T03:58:35.797Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T03:58:35.797Z] 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. [2025-06-19T03:58:35.797Z] The best model improves the baseline by 14.34%. [2025-06-19T03:58:36.450Z] Top recommended movies for user id 72: [2025-06-19T03:58:36.450Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T03:58:36.450Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T03:58:36.450Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T03:58:36.450Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T03:58:36.450Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T03:58:36.450Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18172.433 ms) ====== [2025-06-19T03:58:36.450Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-19T03:58:36.450Z] GC before operation: completed in 156.358 ms, heap usage 474.489 MB -> 92.652 MB. [2025-06-19T03:58:39.313Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T03:58:43.153Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T03:58:46.055Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T03:58:48.120Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T03:58:50.183Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T03:58:51.513Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T03:58:53.582Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T03:58:55.657Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T03:58:55.657Z] 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. [2025-06-19T03:58:55.657Z] The best model improves the baseline by 14.34%. [2025-06-19T03:58:56.742Z] Top recommended movies for user id 72: [2025-06-19T03:58:56.742Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T03:58:56.742Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T03:58:56.742Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T03:58:56.742Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T03:58:56.742Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T03:58:56.742Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19670.802 ms) ====== [2025-06-19T03:58:56.742Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-19T03:58:56.742Z] GC before operation: completed in 244.568 ms, heap usage 138.340 MB -> 92.168 MB. [2025-06-19T03:58:58.835Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T03:59:00.893Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T03:59:03.761Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T03:59:06.027Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T03:59:08.194Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T03:59:09.534Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T03:59:10.866Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T03:59:12.921Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T03:59:12.921Z] 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. [2025-06-19T03:59:12.921Z] The best model improves the baseline by 14.34%. [2025-06-19T03:59:12.921Z] Top recommended movies for user id 72: [2025-06-19T03:59:12.921Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T03:59:12.921Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T03:59:12.921Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T03:59:12.921Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T03:59:12.921Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T03:59:12.921Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (16703.944 ms) ====== [2025-06-19T03:59:13.558Z] ----------------------------------- [2025-06-19T03:59:13.558Z] renaissance-movie-lens_0_PASSED [2025-06-19T03:59:13.558Z] ----------------------------------- [2025-06-19T03:59:13.558Z] [2025-06-19T03:59:13.558Z] TEST TEARDOWN: [2025-06-19T03:59:13.558Z] Nothing to be done for teardown. [2025-06-19T03:59:13.558Z] renaissance-movie-lens_0 Finish Time: Thu Jun 19 03:59:12 2025 Epoch Time (ms): 1750305552963