[2026-04-14T01:28:15.867Z] Running test renaissance-movie-lens_0 ... [2026-04-14T01:28:15.867Z] =============================================== [2026-04-14T01:28:15.867Z] renaissance-movie-lens_0 Start Time: Tue Apr 14 01:28:14 2026 Epoch Time (ms): 1776130094949 [2026-04-14T01:28:15.867Z] variation: NoOptions [2026-04-14T01:28:15.867Z] JVM_OPTIONS: [2026-04-14T01:28:15.867Z] { \ [2026-04-14T01:28:15.867Z] echo ""; echo "TEST SETUP:"; \ [2026-04-14T01:28:15.867Z] echo "Nothing to be done for setup."; \ [2026-04-14T01:28:15.867Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17761284042559/renaissance-movie-lens_0"; \ [2026-04-14T01:28:15.867Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17761284042559/renaissance-movie-lens_0"; \ [2026-04-14T01:28:15.867Z] echo ""; echo "TESTING:"; \ [2026-04-14T01:28:15.867Z] "/home/jenkins/workspace/Test_openjdk11_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_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17761284042559/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-14T01:28:15.867Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17761284042559/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-14T01:28:15.867Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-14T01:28:15.867Z] echo "Nothing to be done for teardown."; \ [2026-04-14T01:28:15.867Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17761284042559/TestTargetResult"; [2026-04-14T01:28:15.867Z] [2026-04-14T01:28:15.867Z] TEST SETUP: [2026-04-14T01:28:15.867Z] Nothing to be done for setup. [2026-04-14T01:28:15.867Z] [2026-04-14T01:28:15.867Z] TESTING: [2026-04-14T01:28:25.596Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-14T01:28:37.883Z] 01:28:37.546 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-04-14T01:28:42.348Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-14T01:28:43.302Z] Training: 60056, validation: 20285, test: 19854 [2026-04-14T01:28:43.302Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-14T01:28:43.302Z] GC before operation: completed in 236.997 ms, heap usage 250.558 MB -> 74.714 MB. [2026-04-14T01:28:54.920Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:29:01.688Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:29:08.449Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:29:13.833Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:29:16.856Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:29:19.937Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:29:24.097Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:29:27.121Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:29:27.121Z] 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. [2026-04-14T01:29:27.121Z] The best model improves the baseline by 14.52%. [2026-04-14T01:29:27.121Z] Top recommended movies for user id 72: [2026-04-14T01:29:27.121Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T01:29:27.121Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T01:29:27.121Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T01:29:27.121Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T01:29:27.121Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T01:29:27.121Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (44498.623 ms) ====== [2026-04-14T01:29:27.121Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-14T01:29:28.089Z] GC before operation: completed in 288.393 ms, heap usage 221.085 MB -> 86.676 MB. [2026-04-14T01:29:33.482Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:29:38.863Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:29:45.571Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:29:49.737Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:29:52.770Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:29:55.797Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:29:59.562Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:30:01.525Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:30:02.480Z] 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. [2026-04-14T01:30:02.481Z] The best model improves the baseline by 14.52%. [2026-04-14T01:30:02.481Z] Top recommended movies for user id 72: [2026-04-14T01:30:02.481Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T01:30:02.481Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T01:30:02.481Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T01:30:02.481Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T01:30:02.481Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T01:30:02.481Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (34847.789 ms) ====== [2026-04-14T01:30:02.481Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-14T01:30:03.436Z] GC before operation: completed in 282.335 ms, heap usage 211.337 MB -> 87.586 MB. [2026-04-14T01:30:07.777Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:30:13.162Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:30:18.548Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:30:23.941Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:30:26.974Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:30:29.989Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:30:33.012Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:30:36.209Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:30:36.209Z] 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. [2026-04-14T01:30:36.209Z] The best model improves the baseline by 14.52%. [2026-04-14T01:30:37.168Z] Top recommended movies for user id 72: [2026-04-14T01:30:37.168Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T01:30:37.168Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T01:30:37.168Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T01:30:37.168Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T01:30:37.168Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T01:30:37.168Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (33771.357 ms) ====== [2026-04-14T01:30:37.168Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-14T01:30:37.168Z] GC before operation: completed in 255.963 ms, heap usage 206.799 MB -> 88.235 MB. [2026-04-14T01:30:41.905Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:30:47.331Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:30:52.714Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:30:56.876Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:30:59.927Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:31:04.107Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:31:07.135Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:31:10.166Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:31:11.126Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-14T01:31:11.126Z] The best model improves the baseline by 14.52%. [2026-04-14T01:31:11.126Z] Top recommended movies for user id 72: [2026-04-14T01:31:11.126Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T01:31:11.126Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T01:31:11.126Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T01:31:11.126Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T01:31:11.126Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T01:31:11.126Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (34067.999 ms) ====== [2026-04-14T01:31:11.126Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-14T01:31:11.126Z] GC before operation: completed in 269.011 ms, heap usage 322.714 MB -> 88.682 MB. [2026-04-14T01:31:16.516Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:31:21.907Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:31:27.315Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:31:34.261Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:31:35.216Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:31:38.298Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:31:41.774Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:31:44.840Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:31:44.840Z] 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. [2026-04-14T01:31:44.840Z] The best model improves the baseline by 14.52%. [2026-04-14T01:31:45.797Z] Top recommended movies for user id 72: [2026-04-14T01:31:45.797Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T01:31:45.797Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T01:31:45.797Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T01:31:45.797Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T01:31:45.797Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T01:31:45.797Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (34068.037 ms) ====== [2026-04-14T01:31:45.797Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-14T01:31:45.797Z] GC before operation: completed in 274.932 ms, heap usage 356.790 MB -> 88.603 MB. [2026-04-14T01:31:51.197Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:31:55.358Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:32:02.087Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:32:06.282Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:32:09.315Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:32:12.349Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:32:15.382Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:32:18.409Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:32:18.410Z] 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. [2026-04-14T01:32:18.410Z] The best model improves the baseline by 14.52%. [2026-04-14T01:32:19.366Z] Top recommended movies for user id 72: [2026-04-14T01:32:19.366Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T01:32:19.366Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T01:32:19.366Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T01:32:19.366Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T01:32:19.366Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T01:32:19.366Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (33241.921 ms) ====== [2026-04-14T01:32:19.366Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-14T01:32:19.366Z] GC before operation: completed in 260.909 ms, heap usage 115.553 MB -> 88.684 MB. [2026-04-14T01:32:23.429Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:32:28.814Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:32:33.008Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:32:41.028Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:32:51.628Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:32:51.628Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:32:51.628Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:32:51.628Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:32:51.628Z] 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. [2026-04-14T01:32:51.628Z] The best model improves the baseline by 14.52%. [2026-04-14T01:32:51.628Z] Top recommended movies for user id 72: [2026-04-14T01:32:51.628Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T01:32:51.628Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T01:32:51.628Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T01:32:51.628Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T01:32:51.628Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T01:32:51.628Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (29874.094 ms) ====== [2026-04-14T01:32:51.628Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-14T01:32:51.628Z] GC before operation: completed in 256.655 ms, heap usage 214.250 MB -> 88.731 MB. [2026-04-14T01:33:04.481Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:33:04.481Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:33:08.213Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:33:09.179Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:33:13.337Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:33:16.373Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:33:19.428Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:33:22.494Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:33:22.494Z] 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. [2026-04-14T01:33:22.494Z] The best model improves the baseline by 14.52%. [2026-04-14T01:33:23.476Z] Top recommended movies for user id 72: [2026-04-14T01:33:23.476Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T01:33:23.476Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T01:33:23.476Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T01:33:23.476Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T01:33:23.476Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T01:33:23.476Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (33789.814 ms) ====== [2026-04-14T01:33:23.476Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-14T01:33:23.477Z] GC before operation: completed in 255.409 ms, heap usage 178.812 MB -> 88.917 MB. [2026-04-14T01:33:33.166Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:33:50.216Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:33:50.216Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:33:50.216Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:33:50.216Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:33:50.216Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:34:14.199Z] test-osuosl-ubuntu2404-aarch64-1 seems to be removed or offline (java.lang.InterruptedException); will wait for 5 min 0 sec for it to come back online [2026-04-14T01:34:35.634Z] test-osuosl-ubuntu2404-aarch64-1 is back online [2026-04-14T01:34:36.215Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:34:36.215Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:34:36.215Z] 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. [2026-04-14T01:34:36.215Z] The best model improves the baseline by 14.52%. [2026-04-14T01:34:36.215Z] Top recommended movies for user id 72: [2026-04-14T01:34:36.215Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T01:34:36.215Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T01:34:36.215Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T01:34:36.216Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T01:34:36.216Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T01:34:36.216Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (31082.183 ms) ====== [2026-04-14T01:34:36.216Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-14T01:34:36.216Z] GC before operation: completed in 234.045 ms, heap usage 209.850 MB -> 88.792 MB. [2026-04-14T01:34:36.216Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:34:36.216Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:34:36.216Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:34:36.216Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:34:36.216Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:34:36.216Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:34:36.216Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:34:36.216Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:34:36.216Z] 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. [2026-04-14T01:34:36.216Z] The best model improves the baseline by 14.52%. [2026-04-14T01:34:36.216Z] Top recommended movies for user id 72: [2026-04-14T01:34:36.216Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T01:34:36.216Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T01:34:36.216Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T01:34:36.216Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T01:34:36.216Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T01:34:36.216Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (30673.766 ms) ====== [2026-04-14T01:34:36.216Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-14T01:34:36.216Z] GC before operation: completed in 271.100 ms, heap usage 140.981 MB -> 88.894 MB. [2026-04-14T01:34:36.216Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:34:36.216Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:34:41.032Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:34:46.514Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:34:49.553Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:34:52.574Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:34:55.600Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:34:59.326Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:34:59.326Z] 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. [2026-04-14T01:34:59.326Z] The best model improves the baseline by 14.52%. [2026-04-14T01:34:59.326Z] Top recommended movies for user id 72: [2026-04-14T01:34:59.326Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T01:34:59.326Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T01:34:59.326Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T01:34:59.326Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T01:34:59.326Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T01:34:59.326Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (33972.288 ms) ====== [2026-04-14T01:34:59.326Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-14T01:35:00.278Z] GC before operation: completed in 267.688 ms, heap usage 196.951 MB -> 88.735 MB. [2026-04-14T01:35:04.450Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:35:10.022Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:35:14.214Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:35:19.620Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:35:22.639Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:35:25.665Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:35:27.632Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:35:30.657Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:35:31.615Z] 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. [2026-04-14T01:35:31.615Z] The best model improves the baseline by 14.52%. [2026-04-14T01:35:31.615Z] Top recommended movies for user id 72: [2026-04-14T01:35:31.615Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T01:35:31.615Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T01:35:31.615Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T01:35:31.615Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T01:35:31.615Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T01:35:31.615Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (31668.870 ms) ====== [2026-04-14T01:35:31.615Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-14T01:35:31.615Z] GC before operation: completed in 277.736 ms, heap usage 319.052 MB -> 89.078 MB. [2026-04-14T01:35:37.099Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:35:41.268Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:35:46.803Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:35:50.964Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:35:54.708Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:35:57.733Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:36:00.761Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:36:03.856Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:36:04.834Z] 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. [2026-04-14T01:36:04.834Z] The best model improves the baseline by 14.52%. [2026-04-14T01:36:04.834Z] Top recommended movies for user id 72: [2026-04-14T01:36:04.834Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T01:36:04.834Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T01:36:04.834Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T01:36:04.834Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T01:36:04.834Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T01:36:04.834Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (32835.646 ms) ====== [2026-04-14T01:36:04.834Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-14T01:36:04.834Z] GC before operation: completed in 273.236 ms, heap usage 411.854 MB -> 89.283 MB. [2026-04-14T01:36:10.219Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:36:15.624Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:36:21.012Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:36:25.169Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:36:29.324Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:36:32.349Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:36:35.386Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:36:38.479Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:36:38.479Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-14T01:36:38.479Z] The best model improves the baseline by 14.52%. [2026-04-14T01:36:38.479Z] Top recommended movies for user id 72: [2026-04-14T01:36:38.479Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T01:36:38.479Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T01:36:38.479Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T01:36:38.479Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T01:36:38.479Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T01:36:38.479Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (33924.349 ms) ====== [2026-04-14T01:36:38.479Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-14T01:36:39.430Z] GC before operation: completed in 233.526 ms, heap usage 222.817 MB -> 88.880 MB. [2026-04-14T01:36:44.304Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:36:49.684Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:36:53.852Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:36:59.244Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:37:01.219Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:37:04.244Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:37:07.281Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:37:10.360Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:37:11.312Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-14T01:37:11.312Z] The best model improves the baseline by 14.52%. [2026-04-14T01:37:11.312Z] Top recommended movies for user id 72: [2026-04-14T01:37:11.312Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T01:37:11.312Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T01:37:11.312Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T01:37:11.312Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T01:37:11.312Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T01:37:11.312Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (32385.728 ms) ====== [2026-04-14T01:37:11.312Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-14T01:37:11.312Z] GC before operation: completed in 278.112 ms, heap usage 255.069 MB -> 89.138 MB. [2026-04-14T01:37:16.697Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:37:22.081Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:37:27.489Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:37:31.649Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:37:34.671Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:37:37.707Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:37:40.352Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:37:43.376Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:37:44.332Z] 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. [2026-04-14T01:37:44.332Z] The best model improves the baseline by 14.52%. [2026-04-14T01:37:44.332Z] Top recommended movies for user id 72: [2026-04-14T01:37:44.332Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T01:37:44.332Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T01:37:44.332Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T01:37:44.332Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T01:37:44.332Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T01:37:44.332Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (32447.728 ms) ====== [2026-04-14T01:37:44.332Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-14T01:37:44.332Z] GC before operation: completed in 267.712 ms, heap usage 182.770 MB -> 88.931 MB. [2026-04-14T01:37:49.758Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:37:55.133Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:38:00.565Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:38:04.800Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:38:07.823Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:38:10.845Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:38:15.014Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:38:17.011Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:38:17.969Z] 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. [2026-04-14T01:38:17.969Z] The best model improves the baseline by 14.52%. [2026-04-14T01:38:17.969Z] Top recommended movies for user id 72: [2026-04-14T01:38:17.969Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T01:38:17.969Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T01:38:17.969Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T01:38:17.969Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T01:38:17.969Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T01:38:17.969Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (33786.612 ms) ====== [2026-04-14T01:38:17.969Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-14T01:38:18.924Z] GC before operation: completed in 253.841 ms, heap usage 165.632 MB -> 89.031 MB. [2026-04-14T01:38:24.345Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:38:28.510Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:38:34.601Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:38:38.832Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:38:41.868Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:38:44.886Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:38:47.915Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:38:50.938Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:38:51.894Z] 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. [2026-04-14T01:38:51.894Z] The best model improves the baseline by 14.52%. [2026-04-14T01:38:51.894Z] Top recommended movies for user id 72: [2026-04-14T01:38:51.894Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T01:38:51.894Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T01:38:51.894Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T01:38:51.894Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T01:38:51.894Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T01:38:51.894Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (33341.909 ms) ====== [2026-04-14T01:38:51.894Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-14T01:38:51.894Z] GC before operation: completed in 276.252 ms, heap usage 146.751 MB -> 88.751 MB. [2026-04-14T01:38:57.360Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:39:01.529Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:39:06.936Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:39:11.131Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:39:15.302Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:39:18.337Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:39:21.713Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:39:24.040Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:39:24.995Z] 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. [2026-04-14T01:39:24.995Z] The best model improves the baseline by 14.52%. [2026-04-14T01:39:24.995Z] Top recommended movies for user id 72: [2026-04-14T01:39:24.995Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T01:39:24.995Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T01:39:24.995Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T01:39:24.995Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T01:39:24.995Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T01:39:24.995Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (32900.210 ms) ====== [2026-04-14T01:39:24.995Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-14T01:39:24.995Z] GC before operation: completed in 275.197 ms, heap usage 153.154 MB -> 88.880 MB. [2026-04-14T01:39:30.394Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:39:35.784Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:39:41.202Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:39:45.365Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:39:48.391Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:39:51.420Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:39:54.440Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:39:57.477Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:39:57.477Z] 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. [2026-04-14T01:39:57.477Z] The best model improves the baseline by 14.52%. [2026-04-14T01:39:58.432Z] Top recommended movies for user id 72: [2026-04-14T01:39:58.432Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-14T01:39:58.432Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-14T01:39:58.432Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-14T01:39:58.432Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-14T01:39:58.432Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-14T01:39:58.432Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (32790.784 ms) ====== [2026-04-14T01:39:59.383Z] ----------------------------------- [2026-04-14T01:39:59.383Z] renaissance-movie-lens_0_PASSED [2026-04-14T01:39:59.383Z] ----------------------------------- [2026-04-14T01:39:59.383Z] [2026-04-14T01:39:59.383Z] TEST TEARDOWN: [2026-04-14T01:39:59.383Z] Nothing to be done for teardown. [2026-04-14T01:39:59.383Z] renaissance-movie-lens_0 Finish Time: Tue Apr 14 01:39:59 2026 Epoch Time (ms): 1776130799275