[2026-01-21T07:25:48.010Z] Running test renaissance-movie-lens_0 ... [2026-01-21T07:25:48.010Z] =============================================== [2026-01-21T07:25:48.010Z] renaissance-movie-lens_0 Start Time: Wed Jan 21 07:25:47 2026 Epoch Time (ms): 1768980347750 [2026-01-21T07:25:48.010Z] variation: NoOptions [2026-01-21T07:25:48.010Z] JVM_OPTIONS: [2026-01-21T07:25:48.010Z] { \ [2026-01-21T07:25:48.010Z] echo ""; echo "TEST SETUP:"; \ [2026-01-21T07:25:48.010Z] echo "Nothing to be done for setup."; \ [2026-01-21T07:25:48.010Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17689789463679/renaissance-movie-lens_0"; \ [2026-01-21T07:25:48.010Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17689789463679/renaissance-movie-lens_0"; \ [2026-01-21T07:25:48.010Z] echo ""; echo "TESTING:"; \ [2026-01-21T07:25:48.010Z] "/home/jenkins/workspace/Test_openjdk11_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_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17689789463679/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-21T07:25:48.010Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17689789463679/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-21T07:25:48.010Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-21T07:25:48.010Z] echo "Nothing to be done for teardown."; \ [2026-01-21T07:25:48.010Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17689789463679/TestTargetResult"; [2026-01-21T07:25:48.010Z] [2026-01-21T07:25:48.010Z] TEST SETUP: [2026-01-21T07:25:48.010Z] Nothing to be done for setup. [2026-01-21T07:25:48.010Z] [2026-01-21T07:25:48.010Z] TESTING: [2026-01-21T07:25:55.519Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-01-21T07:26:06.339Z] 07:26:04.641 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. [2026-01-21T07:26:08.750Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-21T07:26:10.248Z] Training: 60056, validation: 20285, test: 19854 [2026-01-21T07:26:10.248Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-21T07:26:10.248Z] GC before operation: completed in 335.334 ms, heap usage 151.060 MB -> 74.336 MB. [2026-01-21T07:26:19.521Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:26:27.145Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:26:33.390Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:26:39.602Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:26:43.611Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:26:46.686Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:26:50.760Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:26:53.812Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:26:54.560Z] 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. [2026-01-21T07:26:55.228Z] The best model improves the baseline by 14.34%. [2026-01-21T07:26:55.228Z] Top recommended movies for user id 72: [2026-01-21T07:26:55.228Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T07:26:55.228Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T07:26:55.228Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T07:26:55.228Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T07:26:55.228Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T07:26:55.228Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (45060.773 ms) ====== [2026-01-21T07:26:55.228Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-21T07:26:55.948Z] GC before operation: completed in 347.110 ms, heap usage 260.556 MB -> 86.738 MB. [2026-01-21T07:27:01.013Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:27:06.304Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:27:12.611Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:27:16.634Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:27:19.780Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:27:22.952Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:27:25.939Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:27:28.956Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:27:29.604Z] 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. [2026-01-21T07:27:29.604Z] The best model improves the baseline by 14.34%. [2026-01-21T07:27:29.604Z] Top recommended movies for user id 72: [2026-01-21T07:27:29.604Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T07:27:29.604Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T07:27:29.604Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T07:27:29.604Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T07:27:29.604Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T07:27:29.604Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (34265.050 ms) ====== [2026-01-21T07:27:29.604Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-21T07:27:30.345Z] GC before operation: completed in 425.763 ms, heap usage 201.010 MB -> 86.698 MB. [2026-01-21T07:27:35.531Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:27:41.741Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:27:46.780Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:27:51.701Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:27:55.170Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:27:58.150Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:28:01.164Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:28:05.080Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:28:05.080Z] 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. [2026-01-21T07:28:05.080Z] The best model improves the baseline by 14.34%. [2026-01-21T07:28:05.080Z] Top recommended movies for user id 72: [2026-01-21T07:28:05.080Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T07:28:05.080Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T07:28:05.080Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T07:28:05.080Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T07:28:05.080Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T07:28:05.080Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (34856.273 ms) ====== [2026-01-21T07:28:05.080Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-21T07:28:05.761Z] GC before operation: completed in 315.454 ms, heap usage 218.955 MB -> 87.313 MB. [2026-01-21T07:28:10.807Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:28:15.855Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:28:22.045Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:28:27.085Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:28:30.154Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:28:32.347Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:28:36.372Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:28:39.860Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:28:39.860Z] 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. [2026-01-21T07:28:40.531Z] The best model improves the baseline by 14.34%. [2026-01-21T07:28:40.531Z] Top recommended movies for user id 72: [2026-01-21T07:28:40.531Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T07:28:40.531Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T07:28:40.531Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T07:28:40.531Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T07:28:40.531Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T07:28:40.531Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (35054.385 ms) ====== [2026-01-21T07:28:40.531Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-21T07:28:40.531Z] GC before operation: completed in 298.028 ms, heap usage 143.029 MB -> 87.558 MB. [2026-01-21T07:28:46.742Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:28:52.895Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:28:59.145Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:29:04.212Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:29:08.224Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:29:11.381Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:29:15.550Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:29:18.601Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:29:18.601Z] 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. [2026-01-21T07:29:18.601Z] The best model improves the baseline by 14.34%. [2026-01-21T07:29:19.254Z] Top recommended movies for user id 72: [2026-01-21T07:29:19.254Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T07:29:19.254Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T07:29:19.254Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T07:29:19.254Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T07:29:19.254Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T07:29:19.254Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (38213.860 ms) ====== [2026-01-21T07:29:19.254Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-21T07:29:19.254Z] GC before operation: completed in 428.631 ms, heap usage 269.644 MB -> 87.652 MB. [2026-01-21T07:29:25.490Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:29:31.001Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:29:37.140Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:29:41.078Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:29:44.073Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:29:47.092Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:29:50.083Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:29:53.034Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:29:53.034Z] 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. [2026-01-21T07:29:53.034Z] The best model improves the baseline by 14.34%. [2026-01-21T07:29:53.755Z] Top recommended movies for user id 72: [2026-01-21T07:29:53.755Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T07:29:53.755Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T07:29:53.755Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T07:29:53.755Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T07:29:53.755Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T07:29:53.755Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (34137.128 ms) ====== [2026-01-21T07:29:53.755Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-21T07:29:53.755Z] GC before operation: completed in 304.778 ms, heap usage 180.305 MB -> 87.771 MB. [2026-01-21T07:29:58.695Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:30:03.721Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:30:09.915Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:30:13.974Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:30:16.608Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:30:19.374Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:30:21.674Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:30:24.642Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:30:25.314Z] 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. [2026-01-21T07:30:25.314Z] The best model improves the baseline by 14.34%. [2026-01-21T07:30:25.314Z] Top recommended movies for user id 72: [2026-01-21T07:30:25.314Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T07:30:25.314Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T07:30:25.314Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T07:30:25.314Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T07:30:25.314Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T07:30:25.314Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (31340.655 ms) ====== [2026-01-21T07:30:25.314Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-21T07:30:25.962Z] GC before operation: completed in 467.088 ms, heap usage 150.381 MB -> 87.726 MB. [2026-01-21T07:30:29.851Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:30:35.947Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:30:40.860Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:30:44.731Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:30:47.861Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:30:50.810Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:30:53.763Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:30:56.734Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:30:56.734Z] 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. [2026-01-21T07:30:56.734Z] The best model improves the baseline by 14.34%. [2026-01-21T07:30:57.375Z] Top recommended movies for user id 72: [2026-01-21T07:30:57.375Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T07:30:57.375Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T07:30:57.375Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T07:30:57.375Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T07:30:57.375Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T07:30:57.375Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (31414.080 ms) ====== [2026-01-21T07:30:57.375Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-21T07:30:57.375Z] GC before operation: completed in 300.275 ms, heap usage 223.456 MB -> 88.073 MB. [2026-01-21T07:31:02.330Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:31:06.483Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:31:11.433Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:31:15.409Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:31:17.601Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:31:20.764Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:31:23.877Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:31:26.928Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:31:27.690Z] 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. [2026-01-21T07:31:27.690Z] The best model improves the baseline by 14.34%. [2026-01-21T07:31:27.690Z] Top recommended movies for user id 72: [2026-01-21T07:31:27.690Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T07:31:27.690Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T07:31:27.690Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T07:31:27.690Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T07:31:27.690Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T07:31:27.690Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (30552.820 ms) ====== [2026-01-21T07:31:27.690Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-21T07:31:28.380Z] GC before operation: completed in 225.812 ms, heap usage 196.796 MB -> 87.847 MB. [2026-01-21T07:31:33.290Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:31:37.294Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:31:42.185Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:31:47.209Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:31:50.403Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:31:52.589Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:31:55.600Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:31:57.742Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:31:58.418Z] 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. [2026-01-21T07:31:58.418Z] The best model improves the baseline by 14.34%. [2026-01-21T07:31:58.418Z] Top recommended movies for user id 72: [2026-01-21T07:31:58.418Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T07:31:58.418Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T07:31:58.418Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T07:31:58.418Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T07:31:58.418Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T07:31:58.418Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (30386.326 ms) ====== [2026-01-21T07:31:58.418Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-21T07:31:59.113Z] GC before operation: completed in 230.886 ms, heap usage 146.023 MB -> 88.019 MB. [2026-01-21T07:32:04.071Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:32:08.987Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:32:13.986Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:32:18.067Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:32:20.959Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:32:23.844Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:32:26.808Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:32:29.024Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:32:29.758Z] 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. [2026-01-21T07:32:29.758Z] The best model improves the baseline by 14.34%. [2026-01-21T07:32:29.758Z] Top recommended movies for user id 72: [2026-01-21T07:32:29.758Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T07:32:29.758Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T07:32:29.758Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T07:32:29.758Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T07:32:29.758Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T07:32:29.758Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (31071.933 ms) ====== [2026-01-21T07:32:29.758Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-21T07:32:30.385Z] GC before operation: completed in 257.186 ms, heap usage 145.253 MB -> 87.769 MB. [2026-01-21T07:32:34.814Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:32:38.747Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:32:42.637Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:32:46.485Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:32:49.436Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:32:52.441Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:32:54.591Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:32:56.730Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:32:57.416Z] 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. [2026-01-21T07:32:57.416Z] The best model improves the baseline by 14.34%. [2026-01-21T07:32:57.416Z] Top recommended movies for user id 72: [2026-01-21T07:32:57.416Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T07:32:57.416Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T07:32:57.416Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T07:32:57.416Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T07:32:57.416Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T07:32:57.416Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (27496.517 ms) ====== [2026-01-21T07:32:57.416Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-21T07:32:58.074Z] GC before operation: completed in 278.154 ms, heap usage 150.745 MB -> 87.969 MB. [2026-01-21T07:33:01.958Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:33:05.745Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:33:09.560Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:33:13.362Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:33:16.396Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:33:18.117Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:33:20.981Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:33:23.056Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:33:23.056Z] 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. [2026-01-21T07:33:23.056Z] The best model improves the baseline by 14.34%. [2026-01-21T07:33:23.056Z] Top recommended movies for user id 72: [2026-01-21T07:33:23.056Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T07:33:23.056Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T07:33:23.056Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T07:33:23.056Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T07:33:23.056Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T07:33:23.056Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (25462.613 ms) ====== [2026-01-21T07:33:23.056Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-21T07:33:23.714Z] GC before operation: completed in 189.485 ms, heap usage 196.559 MB -> 88.128 MB. [2026-01-21T07:33:27.488Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:33:31.283Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:33:36.208Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:33:39.159Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:33:42.174Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:33:45.078Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:33:47.192Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:33:50.173Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:33:50.173Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-21T07:33:50.173Z] The best model improves the baseline by 14.34%. [2026-01-21T07:33:50.173Z] Top recommended movies for user id 72: [2026-01-21T07:33:50.173Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T07:33:50.173Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T07:33:50.173Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T07:33:50.173Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T07:33:50.173Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T07:33:50.173Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (26849.104 ms) ====== [2026-01-21T07:33:50.173Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-21T07:33:50.815Z] GC before operation: completed in 317.028 ms, heap usage 203.874 MB -> 87.948 MB. [2026-01-21T07:33:54.685Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:33:58.521Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:34:02.921Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:34:06.911Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:34:09.046Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:34:11.187Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:34:13.365Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:34:16.340Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:34:16.340Z] 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. [2026-01-21T07:34:16.340Z] The best model improves the baseline by 14.34%. [2026-01-21T07:34:17.002Z] Top recommended movies for user id 72: [2026-01-21T07:34:17.002Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T07:34:17.002Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T07:34:17.002Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T07:34:17.002Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T07:34:17.002Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T07:34:17.002Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (25949.697 ms) ====== [2026-01-21T07:34:17.002Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-21T07:34:17.002Z] GC before operation: completed in 334.464 ms, heap usage 328.092 MB -> 88.382 MB. [2026-01-21T07:34:21.980Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:34:25.948Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:34:30.905Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:34:34.820Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:34:37.789Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:34:40.700Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:34:42.781Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:34:45.886Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:34:45.886Z] 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. [2026-01-21T07:34:45.886Z] The best model improves the baseline by 14.34%. [2026-01-21T07:34:45.886Z] Top recommended movies for user id 72: [2026-01-21T07:34:45.886Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T07:34:45.886Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T07:34:45.886Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T07:34:45.886Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T07:34:45.886Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T07:34:45.886Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (28946.450 ms) ====== [2026-01-21T07:34:45.886Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-21T07:34:45.886Z] GC before operation: completed in 222.450 ms, heap usage 107.661 MB -> 87.882 MB. [2026-01-21T07:34:50.750Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:34:54.717Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:34:59.672Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:35:03.548Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:35:06.513Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:35:09.422Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:35:12.374Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:35:14.542Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:35:14.542Z] 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. [2026-01-21T07:35:14.542Z] The best model improves the baseline by 14.34%. [2026-01-21T07:35:15.241Z] Top recommended movies for user id 72: [2026-01-21T07:35:15.241Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T07:35:15.241Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T07:35:15.241Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T07:35:15.241Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T07:35:15.241Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T07:35:15.241Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (28781.542 ms) ====== [2026-01-21T07:35:15.241Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-21T07:35:15.241Z] GC before operation: completed in 189.649 ms, heap usage 94.231 MB -> 87.863 MB. [2026-01-21T07:35:19.106Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:35:22.988Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:35:28.255Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:35:33.314Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:35:36.430Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:35:39.428Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:35:42.472Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:35:44.653Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:35:45.312Z] 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. [2026-01-21T07:35:45.312Z] The best model improves the baseline by 14.34%. [2026-01-21T07:35:45.312Z] Top recommended movies for user id 72: [2026-01-21T07:35:45.312Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T07:35:45.312Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T07:35:45.312Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T07:35:45.312Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T07:35:45.312Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T07:35:45.312Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (30065.851 ms) ====== [2026-01-21T07:35:45.312Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-21T07:35:45.312Z] GC before operation: completed in 190.895 ms, heap usage 112.908 MB -> 87.816 MB. [2026-01-21T07:35:49.153Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:35:54.080Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:35:57.960Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:36:02.843Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:36:04.971Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:36:07.091Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:36:10.047Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:36:12.642Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:36:12.642Z] 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. [2026-01-21T07:36:12.642Z] The best model improves the baseline by 14.34%. [2026-01-21T07:36:12.642Z] Top recommended movies for user id 72: [2026-01-21T07:36:12.642Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T07:36:12.642Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T07:36:12.642Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T07:36:12.642Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T07:36:12.642Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T07:36:12.642Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (27439.655 ms) ====== [2026-01-21T07:36:12.642Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-21T07:36:13.399Z] GC before operation: completed in 188.450 ms, heap usage 240.175 MB -> 88.135 MB. [2026-01-21T07:36:17.322Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:36:22.272Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:36:27.232Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:36:30.193Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:36:33.239Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:36:36.217Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:36:40.200Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:36:42.341Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:36:42.992Z] 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. [2026-01-21T07:36:42.992Z] The best model improves the baseline by 14.34%. [2026-01-21T07:36:42.992Z] Top recommended movies for user id 72: [2026-01-21T07:36:42.992Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T07:36:42.992Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T07:36:42.992Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T07:36:42.992Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T07:36:42.992Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T07:36:42.992Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (30073.985 ms) ====== [2026-01-21T07:36:43.677Z] ----------------------------------- [2026-01-21T07:36:43.677Z] renaissance-movie-lens_0_PASSED [2026-01-21T07:36:43.677Z] ----------------------------------- [2026-01-21T07:36:43.677Z] [2026-01-21T07:36:43.677Z] TEST TEARDOWN: [2026-01-21T07:36:43.677Z] Nothing to be done for teardown. [2026-01-21T07:36:43.677Z] renaissance-movie-lens_0 Finish Time: Wed Jan 21 07:36:43 2026 Epoch Time (ms): 1768981003306