[2025-11-12T23:46:12.357Z] Running test renaissance-movie-lens_0 ... [2025-11-12T23:46:12.357Z] =============================================== [2025-11-12T23:46:12.357Z] renaissance-movie-lens_0 Start Time: Wed Nov 12 23:46:11 2025 Epoch Time (ms): 1762991171905 [2025-11-12T23:46:12.357Z] variation: NoOptions [2025-11-12T23:46:12.357Z] JVM_OPTIONS: [2025-11-12T23:46:12.357Z] { \ [2025-11-12T23:46:12.357Z] echo ""; echo "TEST SETUP:"; \ [2025-11-12T23:46:12.357Z] echo "Nothing to be done for setup."; \ [2025-11-12T23:46:12.357Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17629891323228/renaissance-movie-lens_0"; \ [2025-11-12T23:46:12.357Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17629891323228/renaissance-movie-lens_0"; \ [2025-11-12T23:46:12.357Z] echo ""; echo "TESTING:"; \ [2025-11-12T23:46:12.357Z] "/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_17629891323228/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-11-12T23:46:12.357Z] 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_17629891323228/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-11-12T23:46:12.357Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-11-12T23:46:12.357Z] echo "Nothing to be done for teardown."; \ [2025-11-12T23:46:12.357Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17629891323228/TestTargetResult"; [2025-11-12T23:46:12.357Z] [2025-11-12T23:46:12.357Z] TEST SETUP: [2025-11-12T23:46:12.357Z] Nothing to be done for setup. [2025-11-12T23:46:12.357Z] [2025-11-12T23:46:12.357Z] TESTING: [2025-11-12T23:46:16.971Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-11-12T23:46:23.921Z] 23:46:22.720 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. [2025-11-12T23:46:25.930Z] Got 100004 ratings from 671 users on 9066 movies. [2025-11-12T23:46:26.525Z] Training: 60056, validation: 20285, test: 19854 [2025-11-12T23:46:26.525Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-11-12T23:46:27.140Z] GC before operation: completed in 220.532 ms, heap usage 221.055 MB -> 75.960 MB. [2025-11-12T23:46:33.215Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:46:38.930Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:46:43.544Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:46:47.194Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:46:49.190Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:46:51.162Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:46:53.915Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:46:55.893Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:46:55.893Z] 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. [2025-11-12T23:46:56.500Z] The best model improves the baseline by 14.34%. [2025-11-12T23:46:56.500Z] Top recommended movies for user id 72: [2025-11-12T23:46:56.500Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:46:56.500Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:46:56.500Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:46:56.500Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:46:56.500Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:46:56.500Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (29532.495 ms) ====== [2025-11-12T23:46:56.501Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-11-12T23:46:56.501Z] GC before operation: completed in 224.686 ms, heap usage 169.551 MB -> 90.479 MB. [2025-11-12T23:47:00.180Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:47:03.841Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:47:07.042Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:47:09.783Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:47:11.756Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:47:13.763Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:47:15.804Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:47:17.042Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:47:17.632Z] 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. [2025-11-12T23:47:17.632Z] The best model improves the baseline by 14.34%. [2025-11-12T23:47:17.632Z] Top recommended movies for user id 72: [2025-11-12T23:47:17.633Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:47:17.633Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:47:17.633Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:47:17.633Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:47:17.633Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:47:17.633Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (21159.289 ms) ====== [2025-11-12T23:47:17.633Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-11-12T23:47:18.273Z] GC before operation: completed in 230.043 ms, heap usage 226.870 MB -> 87.988 MB. [2025-11-12T23:47:21.034Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:47:23.781Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:47:27.359Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:47:30.093Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:47:31.375Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:47:33.392Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:47:35.377Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:47:37.370Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:47:37.370Z] 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. [2025-11-12T23:47:37.370Z] The best model improves the baseline by 14.34%. [2025-11-12T23:47:37.975Z] Top recommended movies for user id 72: [2025-11-12T23:47:37.975Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:47:37.975Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:47:37.975Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:47:37.975Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:47:37.975Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:47:37.975Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (19696.486 ms) ====== [2025-11-12T23:47:37.975Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-11-12T23:47:37.975Z] GC before operation: completed in 249.556 ms, heap usage 205.884 MB -> 88.667 MB. [2025-11-12T23:47:40.754Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:47:43.544Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:47:47.637Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:47:49.645Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:47:51.602Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:47:53.573Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:47:55.522Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:47:56.809Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:47:57.403Z] 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. [2025-11-12T23:47:57.403Z] The best model improves the baseline by 14.34%. [2025-11-12T23:47:57.403Z] Top recommended movies for user id 72: [2025-11-12T23:47:57.403Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:47:57.403Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:47:57.403Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:47:57.403Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:47:57.403Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:47:57.403Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19386.745 ms) ====== [2025-11-12T23:47:57.403Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-11-12T23:47:57.403Z] GC before operation: completed in 195.714 ms, heap usage 162.124 MB -> 88.869 MB. [2025-11-12T23:48:01.010Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:48:03.808Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:48:07.483Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:48:09.499Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:48:11.515Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:48:12.779Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:48:14.855Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:48:16.833Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:48:16.833Z] 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. [2025-11-12T23:48:16.833Z] The best model improves the baseline by 14.34%. [2025-11-12T23:48:16.833Z] Top recommended movies for user id 72: [2025-11-12T23:48:16.833Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:48:16.833Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:48:16.833Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:48:16.833Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:48:16.833Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:48:16.833Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19493.310 ms) ====== [2025-11-12T23:48:16.833Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-11-12T23:48:17.440Z] GC before operation: completed in 220.856 ms, heap usage 306.537 MB -> 89.048 MB. [2025-11-12T23:48:20.211Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:48:22.956Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:48:26.594Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:48:29.337Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:48:30.593Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:48:32.557Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:48:34.512Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:48:36.483Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:48:36.483Z] 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. [2025-11-12T23:48:36.483Z] The best model improves the baseline by 14.34%. [2025-11-12T23:48:36.483Z] Top recommended movies for user id 72: [2025-11-12T23:48:36.483Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:48:36.483Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:48:36.483Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:48:36.483Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:48:36.483Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:48:36.483Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19456.893 ms) ====== [2025-11-12T23:48:36.483Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-11-12T23:48:37.107Z] GC before operation: completed in 227.776 ms, heap usage 217.631 MB -> 89.269 MB. [2025-11-12T23:48:39.838Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:48:43.510Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:48:46.339Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:48:49.119Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:48:51.109Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:48:52.820Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:48:54.786Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:48:56.763Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:48:56.763Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-12T23:48:56.763Z] The best model improves the baseline by 14.34%. [2025-11-12T23:48:56.763Z] Top recommended movies for user id 72: [2025-11-12T23:48:56.763Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:48:56.763Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:48:56.763Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:48:56.763Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:48:56.763Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:48:56.763Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19918.332 ms) ====== [2025-11-12T23:48:56.763Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-11-12T23:48:57.368Z] GC before operation: completed in 229.751 ms, heap usage 187.917 MB -> 89.157 MB. [2025-11-12T23:49:00.125Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:49:02.894Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:49:05.681Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:49:08.468Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:49:10.435Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:49:11.703Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:49:13.692Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:49:15.682Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:49:15.683Z] 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. [2025-11-12T23:49:15.683Z] The best model improves the baseline by 14.34%. [2025-11-12T23:49:15.683Z] Top recommended movies for user id 72: [2025-11-12T23:49:15.683Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:49:15.683Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:49:15.683Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:49:15.683Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:49:15.683Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:49:15.683Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (18805.167 ms) ====== [2025-11-12T23:49:15.683Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-11-12T23:49:16.287Z] GC before operation: completed in 187.236 ms, heap usage 192.695 MB -> 89.414 MB. [2025-11-12T23:49:19.059Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:49:21.807Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:49:25.483Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:49:27.466Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:49:29.835Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:49:31.149Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:49:33.120Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:49:35.143Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:49:35.761Z] 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. [2025-11-12T23:49:35.761Z] The best model improves the baseline by 14.34%. [2025-11-12T23:49:35.761Z] Top recommended movies for user id 72: [2025-11-12T23:49:35.761Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:49:35.761Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:49:35.761Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:49:35.761Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:49:35.761Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:49:35.761Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19722.462 ms) ====== [2025-11-12T23:49:35.761Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-11-12T23:49:35.761Z] GC before operation: completed in 200.147 ms, heap usage 358.552 MB -> 89.511 MB. [2025-11-12T23:49:38.517Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:49:41.616Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:49:45.256Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:49:47.219Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:49:48.504Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:49:50.454Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:49:52.403Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:49:53.702Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:49:54.308Z] 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. [2025-11-12T23:49:54.309Z] The best model improves the baseline by 14.34%. [2025-11-12T23:49:54.309Z] Top recommended movies for user id 72: [2025-11-12T23:49:54.309Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:49:54.309Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:49:54.309Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:49:54.309Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:49:54.309Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:49:54.309Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18221.616 ms) ====== [2025-11-12T23:49:54.309Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-11-12T23:49:54.309Z] GC before operation: completed in 174.834 ms, heap usage 212.602 MB -> 89.433 MB. [2025-11-12T23:49:57.043Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:49:59.825Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:50:02.727Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:50:05.565Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:50:07.588Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:50:08.850Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:50:10.838Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:50:12.825Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:50:12.825Z] 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. [2025-11-12T23:50:12.825Z] The best model improves the baseline by 14.34%. [2025-11-12T23:50:12.825Z] Top recommended movies for user id 72: [2025-11-12T23:50:12.825Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:50:12.825Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:50:12.825Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:50:12.825Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:50:12.825Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:50:12.825Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18358.125 ms) ====== [2025-11-12T23:50:12.825Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-11-12T23:50:12.825Z] GC before operation: completed in 175.793 ms, heap usage 228.972 MB -> 89.289 MB. [2025-11-12T23:50:15.559Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:50:18.304Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:50:20.243Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:50:22.967Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:50:24.203Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:50:25.433Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:50:27.368Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:50:28.599Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:50:28.599Z] 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. [2025-11-12T23:50:28.599Z] The best model improves the baseline by 14.34%. [2025-11-12T23:50:28.599Z] Top recommended movies for user id 72: [2025-11-12T23:50:28.600Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:50:28.600Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:50:28.600Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:50:28.600Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:50:28.600Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:50:28.600Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15863.781 ms) ====== [2025-11-12T23:50:28.600Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-11-12T23:50:29.189Z] GC before operation: completed in 149.771 ms, heap usage 202.784 MB -> 89.413 MB. [2025-11-12T23:50:31.128Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:50:33.477Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:50:36.222Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:50:38.951Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:50:40.190Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:50:41.436Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:50:43.398Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:50:45.382Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:50:45.382Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-12T23:50:45.382Z] The best model improves the baseline by 14.34%. [2025-11-12T23:50:45.382Z] Top recommended movies for user id 72: [2025-11-12T23:50:45.382Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:50:45.382Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:50:45.382Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:50:45.382Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:50:45.382Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:50:45.382Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (16407.952 ms) ====== [2025-11-12T23:50:45.382Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-11-12T23:50:45.382Z] GC before operation: completed in 171.558 ms, heap usage 211.778 MB -> 89.682 MB. [2025-11-12T23:50:48.130Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:50:50.872Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:50:53.594Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:50:56.332Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:50:58.270Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:50:59.518Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:51:01.477Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:51:02.714Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:51:02.714Z] 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. [2025-11-12T23:51:02.714Z] The best model improves the baseline by 14.34%. [2025-11-12T23:51:03.318Z] Top recommended movies for user id 72: [2025-11-12T23:51:03.318Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:51:03.318Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:51:03.318Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:51:03.318Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:51:03.318Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:51:03.318Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (17575.031 ms) ====== [2025-11-12T23:51:03.318Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-11-12T23:51:03.318Z] GC before operation: completed in 218.167 ms, heap usage 163.196 MB -> 89.360 MB. [2025-11-12T23:51:06.065Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:51:08.812Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:51:11.610Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:51:14.327Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:51:15.253Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:51:17.193Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:51:19.137Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:51:20.381Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:51:20.381Z] 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. [2025-11-12T23:51:20.381Z] The best model improves the baseline by 14.34%. [2025-11-12T23:51:20.381Z] Top recommended movies for user id 72: [2025-11-12T23:51:20.381Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:51:20.381Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:51:20.381Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:51:20.381Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:51:20.381Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:51:20.381Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (17255.924 ms) ====== [2025-11-12T23:51:20.381Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-11-12T23:51:20.971Z] GC before operation: completed in 168.301 ms, heap usage 217.787 MB -> 89.627 MB. [2025-11-12T23:51:23.715Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:51:25.677Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:51:28.397Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:51:31.112Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:51:32.368Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:51:33.646Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:51:35.582Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:51:36.839Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:51:36.839Z] 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. [2025-11-12T23:51:36.839Z] The best model improves the baseline by 14.34%. [2025-11-12T23:51:37.449Z] Top recommended movies for user id 72: [2025-11-12T23:51:37.449Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:51:37.449Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:51:37.449Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:51:37.449Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:51:37.449Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:51:37.449Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (16449.472 ms) ====== [2025-11-12T23:51:37.449Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-11-12T23:51:37.449Z] GC before operation: completed in 205.846 ms, heap usage 223.687 MB -> 89.501 MB. [2025-11-12T23:51:40.184Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:51:42.895Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:51:45.674Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:51:47.628Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:51:49.251Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:51:51.232Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:51:52.515Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:51:53.764Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:51:54.368Z] 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. [2025-11-12T23:51:54.368Z] The best model improves the baseline by 14.34%. [2025-11-12T23:51:54.368Z] Top recommended movies for user id 72: [2025-11-12T23:51:54.368Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:51:54.368Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:51:54.368Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:51:54.368Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:51:54.368Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:51:54.368Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (17005.784 ms) ====== [2025-11-12T23:51:54.368Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-11-12T23:51:54.368Z] GC before operation: completed in 157.813 ms, heap usage 162.648 MB -> 89.467 MB. [2025-11-12T23:51:57.181Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:51:59.971Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:52:02.728Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:52:05.485Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:52:06.748Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:52:07.995Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:52:09.964Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:52:11.204Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:52:11.810Z] 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. [2025-11-12T23:52:11.810Z] The best model improves the baseline by 14.34%. [2025-11-12T23:52:11.810Z] Top recommended movies for user id 72: [2025-11-12T23:52:11.810Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:52:11.810Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:52:11.810Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:52:11.810Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:52:11.810Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:52:11.810Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (17337.087 ms) ====== [2025-11-12T23:52:11.810Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-11-12T23:52:12.403Z] GC before operation: completed in 168.297 ms, heap usage 165.933 MB -> 89.340 MB. [2025-11-12T23:52:14.360Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:52:17.199Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:52:20.860Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:52:22.831Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:52:24.796Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:52:26.250Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:52:28.209Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:52:29.564Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:52:29.564Z] 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. [2025-11-12T23:52:29.564Z] The best model improves the baseline by 14.34%. [2025-11-12T23:52:29.564Z] Top recommended movies for user id 72: [2025-11-12T23:52:29.564Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:52:29.564Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:52:29.564Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:52:29.564Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:52:29.564Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:52:29.564Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (17581.163 ms) ====== [2025-11-12T23:52:29.564Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-11-12T23:52:29.564Z] GC before operation: completed in 153.107 ms, heap usage 244.827 MB -> 89.574 MB. [2025-11-12T23:52:32.292Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:52:35.018Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:52:38.698Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:52:40.651Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:52:42.596Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:52:43.844Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:52:45.862Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:52:47.835Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:52:47.835Z] 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. [2025-11-12T23:52:47.835Z] The best model improves the baseline by 14.34%. [2025-11-12T23:52:48.444Z] Top recommended movies for user id 72: [2025-11-12T23:52:48.444Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:52:48.444Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:52:48.444Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:52:48.444Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:52:48.444Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:52:48.444Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18323.981 ms) ====== [2025-11-12T23:52:48.444Z] ----------------------------------- [2025-11-12T23:52:48.444Z] renaissance-movie-lens_0_PASSED [2025-11-12T23:52:48.444Z] ----------------------------------- [2025-11-12T23:52:48.444Z] [2025-11-12T23:52:48.444Z] TEST TEARDOWN: [2025-11-12T23:52:48.444Z] Nothing to be done for teardown. [2025-11-12T23:52:48.444Z] renaissance-movie-lens_0 Finish Time: Wed Nov 12 23:52:48 2025 Epoch Time (ms): 1762991568285