[2026-04-21T22:41:52.887Z] Running test renaissance-movie-lens_0 ... [2026-04-21T22:41:52.887Z] =============================================== [2026-04-21T22:41:52.887Z] renaissance-movie-lens_0 Start Time: Tue Apr 21 22:41:52 2026 Epoch Time (ms): 1776811312325 [2026-04-21T22:41:52.887Z] variation: NoOptions [2026-04-21T22:41:52.887Z] JVM_OPTIONS: [2026-04-21T22:41:52.887Z] { \ [2026-04-21T22:41:52.887Z] echo ""; echo "TEST SETUP:"; \ [2026-04-21T22:41:52.887Z] echo "Nothing to be done for setup."; \ [2026-04-21T22:41:52.887Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17768102699539/renaissance-movie-lens_0"; \ [2026-04-21T22:41:52.887Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17768102699539/renaissance-movie-lens_0"; \ [2026-04-21T22:41:52.887Z] echo ""; echo "TESTING:"; \ [2026-04-21T22:41:52.887Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17768102699539/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-21T22:41:52.887Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17768102699539/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-21T22:41:52.887Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-21T22:41:52.887Z] echo "Nothing to be done for teardown."; \ [2026-04-21T22:41:52.887Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17768102699539/TestTargetResult"; [2026-04-21T22:41:52.887Z] [2026-04-21T22:41:52.887Z] TEST SETUP: [2026-04-21T22:41:52.887Z] Nothing to be done for setup. [2026-04-21T22:41:52.887Z] [2026-04-21T22:41:52.887Z] TESTING: [2026-04-21T22:42:03.078Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-21T22:42:17.376Z] 22:42:17.227 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-04-21T22:42:21.788Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-21T22:42:21.788Z] Training: 60056, validation: 20285, test: 19854 [2026-04-21T22:42:21.788Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-21T22:42:22.769Z] GC before operation: completed in 203.381 ms, heap usage 179.400 MB -> 75.852 MB. [2026-04-21T22:42:35.235Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:42:42.237Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:42:46.437Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:42:50.742Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:42:53.783Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:42:55.764Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:42:57.746Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:43:00.794Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:43:00.794Z] 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. [2026-04-21T22:43:00.794Z] The best model improves the baseline by 14.52%. [2026-04-21T22:43:01.759Z] Top recommended movies for user id 72: [2026-04-21T22:43:01.759Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:43:01.759Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:43:01.759Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:43:01.759Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:43:01.759Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:43:01.759Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (39189.445 ms) ====== [2026-04-21T22:43:01.759Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-21T22:43:01.759Z] GC before operation: completed in 189.645 ms, heap usage 329.613 MB -> 90.140 MB. [2026-04-21T22:43:07.204Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:43:11.429Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:43:15.628Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:43:20.252Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:43:23.317Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:43:26.373Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:43:30.655Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:43:32.650Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:43:33.607Z] 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. [2026-04-21T22:43:33.607Z] The best model improves the baseline by 14.52%. [2026-04-21T22:43:33.607Z] Top recommended movies for user id 72: [2026-04-21T22:43:33.607Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:43:33.607Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:43:33.607Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:43:33.607Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:43:33.607Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:43:33.607Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (31876.582 ms) ====== [2026-04-21T22:43:33.607Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-21T22:43:33.607Z] GC before operation: completed in 184.709 ms, heap usage 127.704 MB -> 91.640 MB. [2026-04-21T22:43:39.040Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:43:43.342Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:43:47.624Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:43:51.835Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:43:54.908Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:43:56.886Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:44:00.142Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:44:02.126Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:44:03.100Z] 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. [2026-04-21T22:44:03.100Z] The best model improves the baseline by 14.52%. [2026-04-21T22:44:03.100Z] Top recommended movies for user id 72: [2026-04-21T22:44:03.100Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:44:03.100Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:44:03.100Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:44:03.100Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:44:03.100Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:44:03.100Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (29284.727 ms) ====== [2026-04-21T22:44:03.100Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-21T22:44:03.100Z] GC before operation: completed in 221.726 ms, heap usage 261.657 MB -> 93.825 MB. [2026-04-21T22:44:08.553Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:44:12.756Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:44:16.962Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:44:21.175Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:44:24.243Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:44:27.320Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:44:29.293Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:44:31.444Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:44:32.407Z] 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. [2026-04-21T22:44:32.407Z] The best model improves the baseline by 14.52%. [2026-04-21T22:44:32.407Z] Top recommended movies for user id 72: [2026-04-21T22:44:32.407Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:44:32.407Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:44:32.407Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:44:32.407Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:44:32.407Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:44:32.407Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (29217.058 ms) ====== [2026-04-21T22:44:32.407Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-21T22:44:32.407Z] GC before operation: completed in 211.993 ms, heap usage 377.457 MB -> 91.976 MB. [2026-04-21T22:44:36.622Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:44:40.943Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:44:45.877Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:44:48.923Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:44:50.910Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:44:53.985Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:44:55.973Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:44:59.027Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:44:59.027Z] 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. [2026-04-21T22:44:59.027Z] The best model improves the baseline by 14.52%. [2026-04-21T22:44:59.027Z] Top recommended movies for user id 72: [2026-04-21T22:44:59.027Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:44:59.027Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:44:59.027Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:44:59.027Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:44:59.027Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:44:59.027Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (26560.593 ms) ====== [2026-04-21T22:44:59.027Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-21T22:44:59.988Z] GC before operation: completed in 238.802 ms, heap usage 481.740 MB -> 94.491 MB. [2026-04-21T22:45:04.195Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:45:07.251Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:45:11.438Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:45:15.637Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:45:17.624Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:45:20.679Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:45:22.678Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:45:24.663Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:45:25.691Z] 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. [2026-04-21T22:45:25.691Z] The best model improves the baseline by 14.52%. [2026-04-21T22:45:25.691Z] Top recommended movies for user id 72: [2026-04-21T22:45:25.691Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:45:25.691Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:45:25.691Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:45:25.691Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:45:25.691Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:45:25.691Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (25986.441 ms) ====== [2026-04-21T22:45:25.691Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-21T22:45:25.691Z] GC before operation: completed in 190.493 ms, heap usage 258.767 MB -> 91.038 MB. [2026-04-21T22:45:29.896Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:45:32.560Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:45:36.753Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:45:39.939Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:45:42.996Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:45:44.983Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:45:46.967Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:45:50.032Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:45:50.032Z] 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. [2026-04-21T22:45:50.032Z] The best model improves the baseline by 14.52%. [2026-04-21T22:45:50.032Z] Top recommended movies for user id 72: [2026-04-21T22:45:50.032Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:45:50.032Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:45:50.032Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:45:50.032Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:45:50.032Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:45:50.032Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (24665.566 ms) ====== [2026-04-21T22:45:50.032Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-21T22:45:51.007Z] GC before operation: completed in 220.888 ms, heap usage 252.845 MB -> 89.856 MB. [2026-04-21T22:45:56.470Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:46:00.685Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:46:06.147Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:46:10.379Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:46:13.423Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:46:15.982Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:46:17.964Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:46:19.949Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:46:20.928Z] 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. [2026-04-21T22:46:20.928Z] The best model improves the baseline by 14.52%. [2026-04-21T22:46:20.928Z] Top recommended movies for user id 72: [2026-04-21T22:46:20.928Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:46:20.928Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:46:20.928Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:46:20.928Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:46:20.928Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:46:20.928Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (30245.837 ms) ====== [2026-04-21T22:46:20.928Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-21T22:46:20.928Z] GC before operation: completed in 183.718 ms, heap usage 378.064 MB -> 92.533 MB. [2026-04-21T22:46:26.368Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:46:29.420Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:46:33.627Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:46:37.881Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:46:39.936Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:46:41.919Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:46:44.996Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:46:47.040Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:46:47.040Z] 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. [2026-04-21T22:46:47.040Z] The best model improves the baseline by 14.52%. [2026-04-21T22:46:47.040Z] Top recommended movies for user id 72: [2026-04-21T22:46:47.040Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:46:47.040Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:46:47.040Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:46:47.040Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:46:47.040Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:46:47.040Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (26363.516 ms) ====== [2026-04-21T22:46:47.040Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-21T22:46:48.006Z] GC before operation: completed in 261.051 ms, heap usage 476.172 MB -> 90.798 MB. [2026-04-21T22:46:52.215Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:46:56.509Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:47:01.593Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:47:04.656Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:47:06.642Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:47:08.628Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:47:11.704Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:47:13.680Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:47:13.680Z] 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. [2026-04-21T22:47:13.680Z] The best model improves the baseline by 14.52%. [2026-04-21T22:47:14.648Z] Top recommended movies for user id 72: [2026-04-21T22:47:14.648Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:47:14.648Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:47:14.648Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:47:14.648Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:47:14.648Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:47:14.648Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (26728.860 ms) ====== [2026-04-21T22:47:14.648Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-21T22:47:14.649Z] GC before operation: completed in 208.176 ms, heap usage 226.311 MB -> 91.887 MB. [2026-04-21T22:47:20.237Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:47:23.513Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:47:27.788Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:47:32.055Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:47:34.257Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:47:36.229Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:47:39.275Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:47:41.374Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:47:41.374Z] 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. [2026-04-21T22:47:41.374Z] The best model improves the baseline by 14.52%. [2026-04-21T22:47:42.349Z] Top recommended movies for user id 72: [2026-04-21T22:47:42.349Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:47:42.349Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:47:42.349Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:47:42.349Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:47:42.349Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:47:42.349Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (27421.286 ms) ====== [2026-04-21T22:47:42.349Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-21T22:47:42.349Z] GC before operation: completed in 190.356 ms, heap usage 253.844 MB -> 94.364 MB. [2026-04-21T22:47:46.834Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:47:49.881Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:47:52.920Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:47:55.976Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:47:59.029Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:48:01.245Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:48:03.225Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:48:05.238Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:48:05.239Z] 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. [2026-04-21T22:48:05.239Z] The best model improves the baseline by 14.52%. [2026-04-21T22:48:06.425Z] Top recommended movies for user id 72: [2026-04-21T22:48:06.425Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:48:06.425Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:48:06.425Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:48:06.425Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:48:06.425Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:48:06.425Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (23591.124 ms) ====== [2026-04-21T22:48:06.425Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-21T22:48:06.425Z] GC before operation: completed in 164.501 ms, heap usage 475.635 MB -> 92.668 MB. [2026-04-21T22:48:10.814Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:48:15.018Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:48:18.070Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:48:21.124Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:48:24.430Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:48:26.440Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:48:28.428Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:48:30.432Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:48:30.432Z] 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. [2026-04-21T22:48:30.432Z] The best model improves the baseline by 14.52%. [2026-04-21T22:48:31.398Z] Top recommended movies for user id 72: [2026-04-21T22:48:31.398Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:48:31.398Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:48:31.398Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:48:31.398Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:48:31.398Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:48:31.398Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (25154.366 ms) ====== [2026-04-21T22:48:31.398Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-21T22:48:31.398Z] GC before operation: completed in 191.889 ms, heap usage 327.357 MB -> 92.507 MB. [2026-04-21T22:48:36.115Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:48:39.175Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:48:43.519Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:48:46.576Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:48:49.737Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:48:51.723Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:48:53.708Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:48:55.690Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:48:56.650Z] 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. [2026-04-21T22:48:56.650Z] The best model improves the baseline by 14.52%. [2026-04-21T22:48:56.650Z] Top recommended movies for user id 72: [2026-04-21T22:48:56.650Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:48:56.650Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:48:56.650Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:48:56.650Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:48:56.650Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:48:56.650Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (25293.909 ms) ====== [2026-04-21T22:48:56.650Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-21T22:48:56.650Z] GC before operation: completed in 218.510 ms, heap usage 297.874 MB -> 93.838 MB. [2026-04-21T22:48:59.701Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:49:03.908Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:49:06.974Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:49:10.038Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:49:12.129Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:49:13.822Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:49:16.981Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:49:18.969Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:49:18.969Z] 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. [2026-04-21T22:49:18.969Z] The best model improves the baseline by 14.52%. [2026-04-21T22:49:18.969Z] Top recommended movies for user id 72: [2026-04-21T22:49:18.969Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:49:18.969Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:49:18.969Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:49:18.969Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:49:18.969Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:49:18.969Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (22235.306 ms) ====== [2026-04-21T22:49:18.969Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-21T22:49:18.969Z] GC before operation: completed in 247.163 ms, heap usage 365.194 MB -> 90.420 MB. [2026-04-21T22:49:23.267Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:49:26.353Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:49:30.785Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:49:33.883Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:49:35.864Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:49:37.848Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:49:41.214Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:49:43.365Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:49:43.365Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-21T22:49:43.365Z] The best model improves the baseline by 14.52%. [2026-04-21T22:49:43.365Z] Top recommended movies for user id 72: [2026-04-21T22:49:43.365Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:49:43.365Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:49:43.365Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:49:43.365Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:49:43.365Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:49:43.365Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (24279.585 ms) ====== [2026-04-21T22:49:43.365Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-21T22:49:43.365Z] GC before operation: completed in 190.635 ms, heap usage 141.244 MB -> 95.839 MB. [2026-04-21T22:49:47.735Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:49:51.995Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:49:55.055Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:49:59.971Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:50:00.939Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:50:02.918Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:50:04.891Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:50:06.859Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:50:06.859Z] 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. [2026-04-21T22:50:06.859Z] The best model improves the baseline by 14.52%. [2026-04-21T22:50:07.827Z] Top recommended movies for user id 72: [2026-04-21T22:50:07.827Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:50:07.827Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:50:07.827Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:50:07.827Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:50:07.827Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:50:07.827Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (23642.578 ms) ====== [2026-04-21T22:50:07.827Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-21T22:50:07.827Z] GC before operation: completed in 181.558 ms, heap usage 268.689 MB -> 93.599 MB. [2026-04-21T22:50:10.876Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:50:13.931Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:50:16.990Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:50:20.035Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:50:21.001Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:50:22.978Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:50:24.958Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:50:26.930Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:50:26.930Z] 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. [2026-04-21T22:50:26.930Z] The best model improves the baseline by 14.52%. [2026-04-21T22:50:26.930Z] Top recommended movies for user id 72: [2026-04-21T22:50:26.930Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:50:26.930Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:50:26.930Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:50:26.930Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:50:26.930Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:50:26.930Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19487.676 ms) ====== [2026-04-21T22:50:26.930Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-21T22:50:26.930Z] GC before operation: completed in 159.199 ms, heap usage 204.457 MB -> 95.687 MB. [2026-04-21T22:50:31.146Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:50:34.202Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:50:37.291Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:50:40.342Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:50:41.842Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:50:43.819Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:50:45.787Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:50:47.772Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:50:47.772Z] 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. [2026-04-21T22:50:47.772Z] The best model improves the baseline by 14.52%. [2026-04-21T22:50:47.772Z] Top recommended movies for user id 72: [2026-04-21T22:50:47.772Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:50:47.772Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:50:47.772Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:50:47.772Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:50:47.772Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:50:47.772Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (20869.098 ms) ====== [2026-04-21T22:50:47.772Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-21T22:50:48.733Z] GC before operation: completed in 158.855 ms, heap usage 263.506 MB -> 95.909 MB. [2026-04-21T22:50:50.709Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:50:53.748Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:50:56.790Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:50:58.764Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:51:00.737Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:51:02.708Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:51:04.695Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:51:06.693Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:51:06.693Z] 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. [2026-04-21T22:51:06.693Z] The best model improves the baseline by 14.52%. [2026-04-21T22:51:06.693Z] Top recommended movies for user id 72: [2026-04-21T22:51:06.693Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:51:06.693Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:51:06.693Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:51:06.693Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:51:06.693Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:51:06.693Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18469.676 ms) ====== [2026-04-21T22:51:07.652Z] ----------------------------------- [2026-04-21T22:51:07.652Z] renaissance-movie-lens_0_PASSED [2026-04-21T22:51:07.652Z] ----------------------------------- [2026-04-21T22:51:07.652Z] [2026-04-21T22:51:07.652Z] TEST TEARDOWN: [2026-04-21T22:51:07.652Z] Nothing to be done for teardown. [2026-04-21T22:51:07.652Z] renaissance-movie-lens_0 Finish Time: Tue Apr 21 22:51:07 2026 Epoch Time (ms): 1776811867449