[2026-02-20T00:38:41.337Z] Running test renaissance-movie-lens_0 ... [2026-02-20T00:38:41.337Z] =============================================== [2026-02-20T00:38:41.337Z] renaissance-movie-lens_0 Start Time: Fri Feb 20 00:38:40 2026 Epoch Time (ms): 1771547920519 [2026-02-20T00:38:41.337Z] variation: NoOptions [2026-02-20T00:38:41.337Z] JVM_OPTIONS: [2026-02-20T00:38:41.337Z] { \ [2026-02-20T00:38:41.337Z] echo ""; echo "TEST SETUP:"; \ [2026-02-20T00:38:41.337Z] echo "Nothing to be done for setup."; \ [2026-02-20T00:38:41.337Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17715470756521/renaissance-movie-lens_0"; \ [2026-02-20T00:38:41.337Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17715470756521/renaissance-movie-lens_0"; \ [2026-02-20T00:38:41.337Z] echo ""; echo "TESTING:"; \ [2026-02-20T00:38:41.337Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_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_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17715470756521/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-20T00:38:41.337Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17715470756521/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-20T00:38:41.337Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-20T00:38:41.337Z] echo "Nothing to be done for teardown."; \ [2026-02-20T00:38:41.337Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17715470756521/TestTargetResult"; [2026-02-20T00:38:41.337Z] [2026-02-20T00:38:41.337Z] TEST SETUP: [2026-02-20T00:38:41.337Z] Nothing to be done for setup. [2026-02-20T00:38:41.337Z] [2026-02-20T00:38:41.337Z] TESTING: [2026-02-20T00:38:41.337Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-20T00:38:41.337Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/output_17715470756521/renaissance-movie-lens_0/launcher-003840-3856495307831944352/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-20T00:38:41.337Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-20T00:38:41.337Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-20T00:38:46.760Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-20T00:38:53.497Z] 00:38:52.159 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-20T00:38:54.467Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-20T00:38:55.426Z] Training: 60056, validation: 20285, test: 19854 [2026-02-20T00:38:55.426Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-20T00:38:55.426Z] GC before operation: completed in 173.008 ms, heap usage 299.049 MB -> 75.621 MB. [2026-02-20T00:39:00.835Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:39:04.588Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:39:06.902Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:39:08.870Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:39:10.840Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:39:12.833Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:39:14.800Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:39:15.759Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:39:15.759Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:39:15.759Z] The best model improves the baseline by 14.52%. [2026-02-20T00:39:16.718Z] Top recommended movies for user id 72: [2026-02-20T00:39:16.718Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:39:16.718Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:39:16.718Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:39:16.718Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:39:16.718Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:39:16.718Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (21163.133 ms) ====== [2026-02-20T00:39:16.718Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-20T00:39:16.718Z] GC before operation: completed in 149.752 ms, heap usage 286.165 MB -> 95.326 MB. [2026-02-20T00:39:19.756Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:39:21.722Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:39:24.798Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:39:26.765Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:39:28.735Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:39:29.693Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:39:31.661Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:39:32.625Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:39:33.587Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:39:33.587Z] The best model improves the baseline by 14.52%. [2026-02-20T00:39:33.587Z] Top recommended movies for user id 72: [2026-02-20T00:39:33.588Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:39:33.588Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:39:33.588Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:39:33.588Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:39:33.588Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:39:33.588Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17056.845 ms) ====== [2026-02-20T00:39:33.588Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-20T00:39:33.588Z] GC before operation: completed in 110.682 ms, heap usage 151.863 MB -> 88.412 MB. [2026-02-20T00:39:36.754Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:39:38.731Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:39:40.875Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:39:43.915Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:39:44.873Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:39:46.838Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:39:47.829Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:39:49.801Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:39:49.801Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:39:49.801Z] The best model improves the baseline by 14.52%. [2026-02-20T00:39:49.801Z] Top recommended movies for user id 72: [2026-02-20T00:39:49.801Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:39:49.801Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:39:49.801Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:39:49.801Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:39:49.801Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:39:49.801Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16356.249 ms) ====== [2026-02-20T00:39:49.801Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-20T00:39:49.801Z] GC before operation: completed in 133.502 ms, heap usage 182.055 MB -> 89.092 MB. [2026-02-20T00:39:52.845Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:39:54.874Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:39:57.908Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:40:00.934Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:40:01.895Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:40:02.927Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:40:04.894Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:40:05.852Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:40:05.852Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:40:05.852Z] The best model improves the baseline by 14.52%. [2026-02-20T00:40:05.852Z] Top recommended movies for user id 72: [2026-02-20T00:40:05.852Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:40:05.852Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:40:05.852Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:40:05.852Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:40:05.852Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:40:05.852Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16039.425 ms) ====== [2026-02-20T00:40:05.852Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-20T00:40:06.810Z] GC before operation: completed in 132.390 ms, heap usage 211.816 MB -> 89.462 MB. [2026-02-20T00:40:08.777Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:40:10.744Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:40:13.784Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:40:15.753Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:40:17.721Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:40:18.679Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:40:20.647Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:40:21.605Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:40:22.704Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:40:22.704Z] The best model improves the baseline by 14.52%. [2026-02-20T00:40:22.704Z] Top recommended movies for user id 72: [2026-02-20T00:40:22.704Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:40:22.704Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:40:22.704Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:40:22.704Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:40:22.704Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:40:22.704Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15930.956 ms) ====== [2026-02-20T00:40:22.704Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-20T00:40:22.704Z] GC before operation: completed in 171.537 ms, heap usage 391.092 MB -> 89.619 MB. [2026-02-20T00:40:24.670Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:40:26.654Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:40:29.695Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:40:31.663Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:40:32.621Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:40:34.591Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:40:35.549Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:40:36.512Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:40:37.474Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:40:37.474Z] The best model improves the baseline by 14.52%. [2026-02-20T00:40:37.474Z] Top recommended movies for user id 72: [2026-02-20T00:40:37.474Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:40:37.474Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:40:37.474Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:40:37.474Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:40:37.474Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:40:37.474Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15000.574 ms) ====== [2026-02-20T00:40:37.474Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-20T00:40:37.474Z] GC before operation: completed in 110.097 ms, heap usage 368.155 MB -> 89.993 MB. [2026-02-20T00:40:39.446Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:40:42.493Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:40:44.461Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:40:46.430Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:40:48.405Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:40:49.365Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:40:52.160Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:40:52.160Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:40:52.160Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:40:52.160Z] The best model improves the baseline by 14.52%. [2026-02-20T00:40:53.119Z] Top recommended movies for user id 72: [2026-02-20T00:40:53.119Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:40:53.119Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:40:53.119Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:40:53.119Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:40:53.119Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:40:53.119Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14988.710 ms) ====== [2026-02-20T00:40:53.119Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-20T00:40:53.119Z] GC before operation: completed in 206.178 ms, heap usage 520.742 MB -> 90.075 MB. [2026-02-20T00:40:55.090Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:40:57.074Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:40:59.062Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:41:02.112Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:41:03.070Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:41:04.029Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:41:05.996Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:41:06.955Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:41:06.955Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:41:06.955Z] The best model improves the baseline by 14.52%. [2026-02-20T00:41:06.955Z] Top recommended movies for user id 72: [2026-02-20T00:41:06.955Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:41:06.955Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:41:06.955Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:41:06.955Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:41:06.955Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:41:06.955Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14596.377 ms) ====== [2026-02-20T00:41:06.955Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-20T00:41:07.913Z] GC before operation: completed in 128.782 ms, heap usage 401.213 MB -> 90.148 MB. [2026-02-20T00:41:09.974Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:41:11.941Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:41:13.909Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:41:15.881Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:41:17.851Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:41:18.811Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:41:19.770Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:41:21.742Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:41:21.742Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:41:21.742Z] The best model improves the baseline by 14.52%. [2026-02-20T00:41:21.742Z] Top recommended movies for user id 72: [2026-02-20T00:41:21.742Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:41:21.742Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:41:21.742Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:41:21.742Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:41:21.742Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:41:21.742Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14544.949 ms) ====== [2026-02-20T00:41:21.742Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-20T00:41:22.871Z] GC before operation: completed in 127.747 ms, heap usage 267.324 MB -> 89.893 MB. [2026-02-20T00:41:24.839Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:41:26.808Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:41:28.775Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:41:30.746Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:41:32.717Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:41:33.676Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:41:35.645Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:41:36.604Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:41:36.604Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:41:36.604Z] The best model improves the baseline by 14.52%. [2026-02-20T00:41:37.566Z] Top recommended movies for user id 72: [2026-02-20T00:41:37.566Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:41:37.566Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:41:37.566Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:41:37.566Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:41:37.566Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:41:37.566Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14869.359 ms) ====== [2026-02-20T00:41:37.566Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-20T00:41:37.566Z] GC before operation: completed in 132.669 ms, heap usage 424.221 MB -> 90.274 MB. [2026-02-20T00:41:39.544Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:41:41.512Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:41:43.545Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:41:45.331Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:41:47.299Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:41:48.258Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:41:50.227Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:41:51.186Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:41:51.186Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:41:51.186Z] The best model improves the baseline by 14.52%. [2026-02-20T00:41:51.186Z] Top recommended movies for user id 72: [2026-02-20T00:41:51.186Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:41:51.186Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:41:51.186Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:41:51.186Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:41:51.186Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:41:51.186Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14378.790 ms) ====== [2026-02-20T00:41:51.186Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-20T00:41:52.145Z] GC before operation: completed in 126.776 ms, heap usage 187.843 MB -> 89.701 MB. [2026-02-20T00:41:54.166Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:41:56.198Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:41:58.180Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:42:00.150Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:42:02.121Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:42:03.082Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:42:05.055Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:42:06.019Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:42:06.019Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:42:06.019Z] The best model improves the baseline by 14.52%. [2026-02-20T00:42:06.019Z] Top recommended movies for user id 72: [2026-02-20T00:42:06.019Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:42:06.019Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:42:06.019Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:42:06.019Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:42:06.019Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:42:06.019Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14655.207 ms) ====== [2026-02-20T00:42:06.019Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-20T00:42:06.982Z] GC before operation: completed in 115.239 ms, heap usage 179.246 MB -> 89.958 MB. [2026-02-20T00:42:08.950Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:42:10.957Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:42:12.924Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:42:14.890Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:42:16.878Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:42:17.838Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:42:19.823Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:42:20.783Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:42:20.783Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:42:20.783Z] The best model improves the baseline by 14.52%. [2026-02-20T00:42:21.745Z] Top recommended movies for user id 72: [2026-02-20T00:42:21.745Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:42:21.745Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:42:21.745Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:42:21.745Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:42:21.745Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:42:21.745Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14802.493 ms) ====== [2026-02-20T00:42:21.745Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-20T00:42:21.745Z] GC before operation: completed in 115.628 ms, heap usage 290.748 MB -> 90.183 MB. [2026-02-20T00:42:23.740Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:42:25.716Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:42:27.688Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:42:29.662Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:42:31.630Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:42:32.588Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:42:33.547Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:42:35.520Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:42:35.520Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:42:35.520Z] The best model improves the baseline by 14.52%. [2026-02-20T00:42:35.520Z] Top recommended movies for user id 72: [2026-02-20T00:42:35.520Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:42:35.520Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:42:35.520Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:42:35.520Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:42:35.520Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:42:35.520Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14121.663 ms) ====== [2026-02-20T00:42:35.520Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-20T00:42:35.520Z] GC before operation: completed in 165.964 ms, heap usage 208.917 MB -> 89.889 MB. [2026-02-20T00:42:38.295Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:42:40.270Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:42:42.238Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:42:44.207Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:42:46.179Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:42:47.137Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:42:49.104Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:42:50.062Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:42:50.062Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:42:50.062Z] The best model improves the baseline by 14.52%. [2026-02-20T00:42:51.025Z] Top recommended movies for user id 72: [2026-02-20T00:42:51.025Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:42:51.025Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:42:51.025Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:42:51.025Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:42:51.025Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:42:51.025Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14935.236 ms) ====== [2026-02-20T00:42:51.025Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-20T00:42:51.025Z] GC before operation: completed in 112.035 ms, heap usage 155.504 MB -> 90.029 MB. [2026-02-20T00:42:53.002Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:42:54.971Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:42:58.011Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:42:59.981Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:43:00.944Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:43:01.909Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:43:03.875Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:43:04.837Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:43:04.838Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:43:04.838Z] The best model improves the baseline by 14.52%. [2026-02-20T00:43:04.838Z] Top recommended movies for user id 72: [2026-02-20T00:43:04.838Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:43:04.838Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:43:04.838Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:43:04.838Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:43:04.838Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:43:04.838Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14532.717 ms) ====== [2026-02-20T00:43:04.838Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-20T00:43:05.798Z] GC before operation: completed in 138.074 ms, heap usage 547.377 MB -> 93.685 MB. [2026-02-20T00:43:07.771Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:43:09.738Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:43:11.707Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:43:13.674Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:43:14.633Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:43:16.603Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:43:17.573Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:43:19.542Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:43:19.542Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:43:19.542Z] The best model improves the baseline by 14.52%. [2026-02-20T00:43:19.542Z] Top recommended movies for user id 72: [2026-02-20T00:43:19.542Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:43:19.542Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:43:19.542Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:43:19.542Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:43:19.542Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:43:19.542Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14277.213 ms) ====== [2026-02-20T00:43:19.542Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-20T00:43:19.542Z] GC before operation: completed in 188.372 ms, heap usage 393.939 MB -> 90.297 MB. [2026-02-20T00:43:22.687Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:43:24.653Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:43:26.620Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:43:29.352Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:43:30.335Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:43:31.292Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:43:33.258Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:43:34.216Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:43:34.216Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:43:34.216Z] The best model improves the baseline by 14.52%. [2026-02-20T00:43:34.216Z] Top recommended movies for user id 72: [2026-02-20T00:43:34.216Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:43:34.216Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:43:34.216Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:43:34.216Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:43:34.216Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:43:34.216Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14624.951 ms) ====== [2026-02-20T00:43:34.216Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-20T00:43:34.216Z] GC before operation: completed in 128.680 ms, heap usage 146.025 MB -> 89.880 MB. [2026-02-20T00:43:37.286Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:43:39.254Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:43:41.237Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:43:43.209Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:43:44.171Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:43:46.155Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:43:47.124Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:43:48.090Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:43:49.049Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:43:49.049Z] The best model improves the baseline by 14.52%. [2026-02-20T00:43:49.049Z] Top recommended movies for user id 72: [2026-02-20T00:43:49.049Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:43:49.049Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:43:49.049Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:43:49.049Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:43:49.049Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:43:49.049Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14334.239 ms) ====== [2026-02-20T00:43:49.049Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-20T00:43:49.049Z] GC before operation: completed in 121.108 ms, heap usage 370.192 MB -> 90.382 MB. [2026-02-20T00:43:51.030Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:43:52.995Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:43:56.031Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:43:57.996Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:43:58.954Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:43:59.925Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:44:01.899Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:44:02.862Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:44:02.862Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:44:02.862Z] The best model improves the baseline by 14.52%. [2026-02-20T00:44:02.862Z] Top recommended movies for user id 72: [2026-02-20T00:44:02.862Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:44:02.862Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:44:02.862Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:44:02.862Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:44:02.862Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:44:02.862Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14154.538 ms) ====== [2026-02-20T00:44:03.824Z] ----------------------------------- [2026-02-20T00:44:03.824Z] renaissance-movie-lens_0_PASSED [2026-02-20T00:44:03.824Z] ----------------------------------- [2026-02-20T00:44:03.824Z] [2026-02-20T00:44:03.824Z] TEST TEARDOWN: [2026-02-20T00:44:03.824Z] Nothing to be done for teardown. [2026-02-20T00:44:03.824Z] renaissance-movie-lens_0 Finish Time: Fri Feb 20 00:44:03 2026 Epoch Time (ms): 1771548243227