[2026-02-27T02:38:26.625Z] Running test renaissance-movie-lens_0 ... [2026-02-27T02:38:26.625Z] =============================================== [2026-02-27T02:38:26.625Z] renaissance-movie-lens_0 Start Time: Fri Feb 27 02:38:26 2026 Epoch Time (ms): 1772159906494 [2026-02-27T02:38:26.625Z] variation: NoOptions [2026-02-27T02:38:26.625Z] JVM_OPTIONS: [2026-02-27T02:38:26.625Z] { \ [2026-02-27T02:38:26.625Z] echo ""; echo "TEST SETUP:"; \ [2026-02-27T02:38:26.625Z] echo "Nothing to be done for setup."; \ [2026-02-27T02:38:26.625Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17721584973358/renaissance-movie-lens_0"; \ [2026-02-27T02:38:26.625Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17721584973358/renaissance-movie-lens_0"; \ [2026-02-27T02:38:26.625Z] echo ""; echo "TESTING:"; \ [2026-02-27T02:38:26.625Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17721584973358/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-27T02:38:26.625Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17721584973358/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-27T02:38:26.625Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-27T02:38:26.625Z] echo "Nothing to be done for teardown."; \ [2026-02-27T02:38:26.625Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17721584973358/TestTargetResult"; [2026-02-27T02:38:26.625Z] [2026-02-27T02:38:26.625Z] TEST SETUP: [2026-02-27T02:38:26.625Z] Nothing to be done for setup. [2026-02-27T02:38:26.625Z] [2026-02-27T02:38:26.625Z] TESTING: [2026-02-27T02:38:27.294Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-27T02:38:27.294Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/output_17721584973358/renaissance-movie-lens_0/launcher-023826-10719122983667903282/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-27T02:38:27.294Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-27T02:38:27.294Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-27T02:38:32.322Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-02-27T02:38:39.901Z] 02:38:38.849 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-02-27T02:38:42.085Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-27T02:38:42.836Z] Training: 60056, validation: 20285, test: 19854 [2026-02-27T02:38:42.836Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-27T02:38:42.836Z] GC before operation: completed in 241.949 ms, heap usage 169.956 MB -> 75.720 MB. [2026-02-27T02:38:50.467Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T02:38:56.735Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T02:39:01.314Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T02:39:06.360Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T02:39:09.425Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T02:39:11.671Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T02:39:14.768Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T02:39:16.961Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T02:39:17.618Z] 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. [2026-02-27T02:39:17.618Z] The best model improves the baseline by 14.34%. [2026-02-27T02:39:18.289Z] Top recommended movies for user id 72: [2026-02-27T02:39:18.289Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-27T02:39:18.289Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-27T02:39:18.289Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-27T02:39:18.289Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-27T02:39:18.289Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-27T02:39:18.289Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (35138.713 ms) ====== [2026-02-27T02:39:18.289Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-27T02:39:18.289Z] GC before operation: completed in 183.892 ms, heap usage 218.898 MB -> 92.646 MB. [2026-02-27T02:39:22.205Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T02:39:26.244Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T02:39:29.253Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T02:39:32.244Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T02:39:35.304Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T02:39:36.674Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T02:39:38.837Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T02:39:41.914Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T02:39:41.914Z] 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. [2026-02-27T02:39:41.914Z] The best model improves the baseline by 14.34%. [2026-02-27T02:39:41.914Z] Top recommended movies for user id 72: [2026-02-27T02:39:41.914Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-27T02:39:41.914Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-27T02:39:41.914Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-27T02:39:41.914Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-27T02:39:41.914Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-27T02:39:41.914Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23840.620 ms) ====== [2026-02-27T02:39:41.914Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-27T02:39:42.630Z] GC before operation: completed in 231.204 ms, heap usage 205.982 MB -> 87.628 MB. [2026-02-27T02:39:45.688Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T02:39:49.625Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T02:39:53.595Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T02:39:56.603Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T02:39:58.738Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T02:40:00.245Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T02:40:02.478Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T02:40:03.825Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T02:40:04.498Z] 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. [2026-02-27T02:40:04.498Z] The best model improves the baseline by 14.34%. [2026-02-27T02:40:04.498Z] Top recommended movies for user id 72: [2026-02-27T02:40:04.498Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-27T02:40:04.498Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-27T02:40:04.498Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-27T02:40:04.498Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-27T02:40:04.499Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-27T02:40:04.499Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (22151.415 ms) ====== [2026-02-27T02:40:04.499Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-27T02:40:04.499Z] GC before operation: completed in 174.533 ms, heap usage 139.411 MB -> 88.267 MB. [2026-02-27T02:40:08.435Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T02:40:11.476Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T02:40:14.428Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T02:40:17.421Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T02:40:19.859Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T02:40:21.213Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T02:40:23.359Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T02:40:24.709Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T02:40:24.709Z] 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. [2026-02-27T02:40:25.340Z] The best model improves the baseline by 14.34%. [2026-02-27T02:40:25.340Z] Top recommended movies for user id 72: [2026-02-27T02:40:25.340Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-27T02:40:25.340Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-27T02:40:25.340Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-27T02:40:25.340Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-27T02:40:25.340Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-27T02:40:25.340Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20479.437 ms) ====== [2026-02-27T02:40:25.340Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-27T02:40:25.340Z] GC before operation: completed in 182.599 ms, heap usage 207.118 MB -> 88.678 MB. [2026-02-27T02:40:28.317Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T02:40:31.284Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T02:40:35.146Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T02:40:37.318Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T02:40:38.687Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T02:40:40.824Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T02:40:42.147Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T02:40:44.077Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T02:40:44.077Z] 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. [2026-02-27T02:40:44.077Z] The best model improves the baseline by 14.34%. [2026-02-27T02:40:44.713Z] Top recommended movies for user id 72: [2026-02-27T02:40:44.713Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-27T02:40:44.713Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-27T02:40:44.713Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-27T02:40:44.713Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-27T02:40:44.713Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-27T02:40:44.713Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19164.499 ms) ====== [2026-02-27T02:40:44.713Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-27T02:40:44.713Z] GC before operation: completed in 199.641 ms, heap usage 197.541 MB -> 88.578 MB. [2026-02-27T02:40:47.665Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T02:40:50.644Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T02:40:53.566Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T02:40:56.567Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T02:40:57.918Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T02:40:59.250Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T02:41:01.356Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T02:41:02.681Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T02:41:02.682Z] 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. [2026-02-27T02:41:03.322Z] The best model improves the baseline by 14.34%. [2026-02-27T02:41:03.322Z] Top recommended movies for user id 72: [2026-02-27T02:41:03.322Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-27T02:41:03.322Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-27T02:41:03.322Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-27T02:41:03.322Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-27T02:41:03.322Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-27T02:41:03.322Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18402.110 ms) ====== [2026-02-27T02:41:03.322Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-27T02:41:03.322Z] GC before operation: completed in 197.308 ms, heap usage 139.788 MB -> 88.932 MB. [2026-02-27T02:41:06.214Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T02:41:08.327Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T02:41:12.209Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T02:41:14.295Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T02:41:15.657Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T02:41:17.757Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T02:41:19.124Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T02:41:20.471Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T02:41:21.126Z] 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. [2026-02-27T02:41:21.126Z] The best model improves the baseline by 14.34%. [2026-02-27T02:41:21.126Z] Top recommended movies for user id 72: [2026-02-27T02:41:21.126Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-27T02:41:21.126Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-27T02:41:21.126Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-27T02:41:21.126Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-27T02:41:21.126Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-27T02:41:21.126Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (17826.850 ms) ====== [2026-02-27T02:41:21.126Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-27T02:41:21.126Z] GC before operation: completed in 201.332 ms, heap usage 349.539 MB -> 89.292 MB. [2026-02-27T02:41:24.125Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T02:41:27.067Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T02:41:30.043Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T02:41:32.218Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T02:41:34.343Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T02:41:36.165Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T02:41:38.294Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T02:41:39.687Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T02:41:40.386Z] 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. [2026-02-27T02:41:40.386Z] The best model improves the baseline by 14.34%. [2026-02-27T02:41:40.386Z] Top recommended movies for user id 72: [2026-02-27T02:41:40.386Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-27T02:41:40.386Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-27T02:41:40.386Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-27T02:41:40.386Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-27T02:41:40.386Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-27T02:41:40.386Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (18847.322 ms) ====== [2026-02-27T02:41:40.386Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-27T02:41:40.386Z] GC before operation: completed in 181.623 ms, heap usage 164.951 MB -> 89.204 MB. [2026-02-27T02:41:43.406Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T02:41:46.381Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T02:41:49.436Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T02:41:52.413Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T02:41:54.575Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T02:41:55.966Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T02:41:58.138Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T02:41:59.528Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T02:42:00.193Z] 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. [2026-02-27T02:42:00.193Z] The best model improves the baseline by 14.34%. [2026-02-27T02:42:00.193Z] Top recommended movies for user id 72: [2026-02-27T02:42:00.193Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-27T02:42:00.193Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-27T02:42:00.193Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-27T02:42:00.193Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-27T02:42:00.193Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-27T02:42:00.193Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19918.944 ms) ====== [2026-02-27T02:42:00.193Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-27T02:42:00.891Z] GC before operation: completed in 229.544 ms, heap usage 175.728 MB -> 89.019 MB. [2026-02-27T02:42:03.896Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T02:42:06.940Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T02:42:10.961Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T02:42:14.214Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T02:42:15.954Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T02:42:18.093Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T02:42:20.289Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T02:42:21.714Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T02:42:22.479Z] 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. [2026-02-27T02:42:22.479Z] The best model improves the baseline by 14.34%. [2026-02-27T02:42:22.479Z] Top recommended movies for user id 72: [2026-02-27T02:42:22.479Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-27T02:42:22.479Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-27T02:42:22.479Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-27T02:42:22.479Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-27T02:42:22.479Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-27T02:42:22.479Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (21842.413 ms) ====== [2026-02-27T02:42:22.479Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-27T02:42:22.479Z] GC before operation: completed in 231.192 ms, heap usage 211.042 MB -> 89.307 MB. [2026-02-27T02:42:25.438Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T02:42:28.407Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T02:42:31.460Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T02:42:34.463Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T02:42:36.626Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T02:42:38.062Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T02:42:40.210Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T02:42:42.368Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T02:42:42.368Z] 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. [2026-02-27T02:42:42.368Z] The best model improves the baseline by 14.34%. [2026-02-27T02:42:42.368Z] Top recommended movies for user id 72: [2026-02-27T02:42:42.368Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-27T02:42:42.368Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-27T02:42:42.368Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-27T02:42:42.368Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-27T02:42:42.368Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-27T02:42:42.368Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19937.912 ms) ====== [2026-02-27T02:42:42.368Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-27T02:42:43.031Z] GC before operation: completed in 181.654 ms, heap usage 242.418 MB -> 88.998 MB. [2026-02-27T02:42:46.081Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T02:42:49.164Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T02:42:52.190Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T02:42:56.520Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T02:42:59.219Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T02:42:59.219Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T02:43:00.616Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T02:43:02.432Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T02:43:03.090Z] 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. [2026-02-27T02:43:03.090Z] The best model improves the baseline by 14.34%. [2026-02-27T02:43:03.090Z] Top recommended movies for user id 72: [2026-02-27T02:43:03.090Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-27T02:43:03.090Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-27T02:43:03.090Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-27T02:43:03.090Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-27T02:43:03.090Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-27T02:43:03.090Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (20304.435 ms) ====== [2026-02-27T02:43:03.090Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-27T02:43:03.090Z] GC before operation: completed in 199.006 ms, heap usage 215.636 MB -> 89.194 MB. [2026-02-27T02:43:06.197Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T02:43:09.205Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T02:43:12.256Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T02:43:15.318Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T02:43:16.705Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T02:43:18.804Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T02:43:20.126Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T02:43:22.284Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T02:43:22.284Z] 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. [2026-02-27T02:43:22.284Z] The best model improves the baseline by 14.34%. [2026-02-27T02:43:22.284Z] Top recommended movies for user id 72: [2026-02-27T02:43:22.284Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-27T02:43:22.284Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-27T02:43:22.284Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-27T02:43:22.284Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-27T02:43:22.284Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-27T02:43:22.284Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19073.228 ms) ====== [2026-02-27T02:43:22.284Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-27T02:43:22.284Z] GC before operation: completed in 189.001 ms, heap usage 241.587 MB -> 89.382 MB. [2026-02-27T02:43:25.276Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T02:43:28.251Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T02:43:31.233Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T02:43:34.232Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T02:43:35.620Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T02:43:37.805Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T02:43:39.186Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T02:43:41.365Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T02:43:41.365Z] 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. [2026-02-27T02:43:41.365Z] The best model improves the baseline by 14.34%. [2026-02-27T02:43:42.075Z] Top recommended movies for user id 72: [2026-02-27T02:43:42.075Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-27T02:43:42.075Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-27T02:43:42.075Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-27T02:43:42.075Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-27T02:43:42.075Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-27T02:43:42.075Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19257.129 ms) ====== [2026-02-27T02:43:42.075Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-27T02:43:42.075Z] GC before operation: completed in 162.030 ms, heap usage 140.420 MB -> 89.165 MB. [2026-02-27T02:43:45.031Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T02:43:48.114Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T02:43:52.077Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T02:43:55.131Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T02:43:56.534Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T02:43:58.706Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T02:44:00.080Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T02:44:02.258Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T02:44:02.258Z] 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. [2026-02-27T02:44:02.258Z] The best model improves the baseline by 14.34%. [2026-02-27T02:44:02.945Z] Top recommended movies for user id 72: [2026-02-27T02:44:02.945Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-27T02:44:02.945Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-27T02:44:02.945Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-27T02:44:02.945Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-27T02:44:02.945Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-27T02:44:02.945Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (20718.759 ms) ====== [2026-02-27T02:44:02.945Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-27T02:44:02.945Z] GC before operation: completed in 194.804 ms, heap usage 350.951 MB -> 89.630 MB. [2026-02-27T02:44:05.914Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T02:44:09.827Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T02:44:12.857Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T02:44:15.856Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T02:44:18.014Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T02:44:19.449Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T02:44:21.640Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T02:44:23.788Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T02:44:23.788Z] 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. [2026-02-27T02:44:23.788Z] The best model improves the baseline by 14.34%. [2026-02-27T02:44:23.788Z] Top recommended movies for user id 72: [2026-02-27T02:44:23.788Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-27T02:44:23.788Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-27T02:44:23.788Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-27T02:44:23.788Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-27T02:44:23.788Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-27T02:44:23.788Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (21091.863 ms) ====== [2026-02-27T02:44:23.788Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-27T02:44:24.425Z] GC before operation: completed in 184.664 ms, heap usage 143.160 MB -> 89.061 MB. [2026-02-27T02:44:27.468Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T02:44:30.544Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T02:44:33.753Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T02:44:36.724Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T02:44:38.075Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T02:44:40.237Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T02:44:42.433Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T02:44:44.655Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T02:44:44.655Z] 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. [2026-02-27T02:44:44.655Z] The best model improves the baseline by 14.34%. [2026-02-27T02:44:44.655Z] Top recommended movies for user id 72: [2026-02-27T02:44:44.655Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-27T02:44:44.655Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-27T02:44:44.655Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-27T02:44:44.655Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-27T02:44:44.655Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-27T02:44:44.655Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (20517.127 ms) ====== [2026-02-27T02:44:44.655Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-27T02:44:44.655Z] GC before operation: completed in 183.146 ms, heap usage 215.646 MB -> 89.318 MB. [2026-02-27T02:44:47.696Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T02:44:51.692Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T02:44:54.735Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T02:44:57.745Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T02:45:00.114Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T02:45:01.522Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T02:45:03.731Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T02:45:05.115Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T02:45:09.970Z] 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. [2026-02-27T02:45:09.970Z] The best model improves the baseline by 14.34%. [2026-02-27T02:45:09.970Z] Top recommended movies for user id 72: [2026-02-27T02:45:09.970Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-27T02:45:09.970Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-27T02:45:09.970Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-27T02:45:09.970Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-27T02:45:09.970Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-27T02:45:09.970Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (21121.990 ms) ====== [2026-02-27T02:45:09.970Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-27T02:45:09.970Z] GC before operation: completed in 232.517 ms, heap usage 174.927 MB -> 89.096 MB. [2026-02-27T02:45:09.970Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T02:45:12.956Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T02:45:16.234Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T02:45:19.430Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T02:45:20.834Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T02:45:22.774Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T02:45:24.910Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T02:45:27.019Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T02:45:27.019Z] 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. [2026-02-27T02:45:27.019Z] The best model improves the baseline by 14.34%. [2026-02-27T02:45:27.019Z] Top recommended movies for user id 72: [2026-02-27T02:45:27.019Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-27T02:45:27.019Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-27T02:45:27.019Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-27T02:45:27.019Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-27T02:45:27.019Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-27T02:45:27.019Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (21087.307 ms) ====== [2026-02-27T02:45:27.019Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-27T02:45:27.671Z] GC before operation: completed in 177.744 ms, heap usage 351.414 MB -> 89.569 MB. [2026-02-27T02:45:30.725Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T02:45:33.703Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T02:45:36.701Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T02:45:39.646Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T02:45:41.815Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T02:45:43.185Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T02:45:49.933Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T02:45:49.933Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T02:45:49.933Z] 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. [2026-02-27T02:45:49.933Z] The best model improves the baseline by 14.34%. [2026-02-27T02:45:49.933Z] Top recommended movies for user id 72: [2026-02-27T02:45:49.933Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-27T02:45:49.933Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-27T02:45:49.933Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-27T02:45:49.933Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-27T02:45:49.933Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-27T02:45:49.933Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19805.474 ms) ====== [2026-02-27T02:45:49.933Z] ----------------------------------- [2026-02-27T02:45:49.933Z] renaissance-movie-lens_0_PASSED [2026-02-27T02:45:49.933Z] ----------------------------------- [2026-02-27T02:45:49.933Z] [2026-02-27T02:45:49.933Z] TEST TEARDOWN: [2026-02-27T02:45:49.933Z] Nothing to be done for teardown. [2026-02-27T02:45:49.933Z] renaissance-movie-lens_0 Finish Time: Fri Feb 27 02:45:47 2026 Epoch Time (ms): 1772160347378