[2026-04-21T22:37:45.462Z] Running test renaissance-movie-lens_0 ... [2026-04-21T22:37:45.462Z] =============================================== [2026-04-21T22:37:45.462Z] renaissance-movie-lens_0 Start Time: Tue Apr 21 22:37:44 2026 Epoch Time (ms): 1776811064531 [2026-04-21T22:37:45.462Z] variation: NoOptions [2026-04-21T22:37:45.462Z] JVM_OPTIONS: [2026-04-21T22:37:45.462Z] { \ [2026-04-21T22:37:45.462Z] echo ""; echo "TEST SETUP:"; \ [2026-04-21T22:37:45.462Z] echo "Nothing to be done for setup."; \ [2026-04-21T22:37:45.462Z] mkdir -p "/Users/runner/agent/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17768102714929/renaissance-movie-lens_0"; \ [2026-04-21T22:37:45.462Z] cd "/Users/runner/agent/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17768102714929/renaissance-movie-lens_0"; \ [2026-04-21T22:37:45.462Z] echo ""; echo "TESTING:"; \ [2026-04-21T22:37:45.462Z] "/Users/runner/agent/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//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 "/Users/runner/agent/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/runner/agent/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17768102714929/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-21T22:37:45.462Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/runner/agent/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/runner/agent/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17768102714929/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-21T22:37:45.462Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-21T22:37:45.462Z] echo "Nothing to be done for teardown."; \ [2026-04-21T22:37:45.462Z] } 2>&1 | tee -a "/Users/runner/agent/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17768102714929/TestTargetResult"; [2026-04-21T22:37:45.462Z] [2026-04-21T22:37:45.462Z] TEST SETUP: [2026-04-21T22:37:45.462Z] Nothing to be done for setup. [2026-04-21T22:37:45.462Z] [2026-04-21T22:37:45.462Z] TESTING: [2026-04-21T22:37:45.462Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-04-21T22:37:45.462Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/runner/agent/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/output_17768102714929/renaissance-movie-lens_0/launcher-223744-14245967049649375058/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-04-21T22:37:45.462Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-04-21T22:37:45.462Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-04-21T22:37:55.760Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-21T22:38:00.541Z] 22:38:00.210 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-04-21T22:38:03.410Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-21T22:38:04.047Z] Training: 60056, validation: 20285, test: 19854 [2026-04-21T22:38:04.047Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-21T22:38:04.047Z] GC before operation: completed in 104.708 ms, heap usage 320.000 MB -> 75.430 MB. [2026-04-21T22:38:09.971Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:38:14.742Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:38:19.533Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:38:23.319Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:38:24.637Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:38:26.717Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:38:29.590Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:38:31.652Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:38:31.652Z] 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. [2026-04-21T22:38:32.288Z] The best model improves the baseline by 14.52%. [2026-04-21T22:38:32.288Z] Top recommended movies for user id 72: [2026-04-21T22:38:32.288Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:38:32.288Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:38:32.288Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:38:32.288Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:38:32.288Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:38:32.288Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (28436.335 ms) ====== [2026-04-21T22:38:32.288Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-21T22:38:32.288Z] GC before operation: completed in 109.153 ms, heap usage 180.551 MB -> 87.352 MB. [2026-04-21T22:38:36.059Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:38:39.836Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:38:43.631Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:38:46.525Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:38:48.596Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:38:49.927Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:38:51.995Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:38:54.864Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:38:54.864Z] 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. [2026-04-21T22:38:54.864Z] The best model improves the baseline by 14.52%. [2026-04-21T22:38:54.864Z] Top recommended movies for user id 72: [2026-04-21T22:38:54.864Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:38:54.864Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:38:54.864Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:38:54.864Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:38:54.864Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:38:54.864Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (22622.921 ms) ====== [2026-04-21T22:38:54.864Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-21T22:38:54.864Z] GC before operation: completed in 90.741 ms, heap usage 361.013 MB -> 88.485 MB. [2026-04-21T22:38:58.665Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:39:01.541Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:39:04.421Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:39:09.544Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:39:09.544Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:39:10.868Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:39:12.950Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:39:14.262Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:39:14.920Z] 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. [2026-04-21T22:39:14.920Z] The best model improves the baseline by 14.52%. [2026-04-21T22:39:15.554Z] Top recommended movies for user id 72: [2026-04-21T22:39:15.554Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:39:15.554Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:39:15.554Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:39:15.554Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:39:15.554Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:39:15.554Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20129.452 ms) ====== [2026-04-21T22:39:15.554Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-21T22:39:15.554Z] GC before operation: completed in 124.454 ms, heap usage 232.065 MB -> 88.992 MB. [2026-04-21T22:39:19.355Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:39:22.249Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:39:25.968Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:39:29.531Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:39:29.531Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:39:31.581Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:39:33.734Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:39:35.054Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:39:35.698Z] 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. [2026-04-21T22:39:35.698Z] The best model improves the baseline by 14.52%. [2026-04-21T22:39:35.698Z] Top recommended movies for user id 72: [2026-04-21T22:39:35.698Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:39:35.698Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:39:35.698Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:39:35.698Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:39:35.698Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:39:35.698Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20164.386 ms) ====== [2026-04-21T22:39:35.698Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-21T22:39:35.698Z] GC before operation: completed in 82.465 ms, heap usage 386.867 MB -> 89.520 MB. [2026-04-21T22:39:39.390Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:39:41.465Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:39:44.377Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:39:52.507Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:39:52.507Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:39:52.507Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:40:05.370Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:40:05.370Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:40:05.370Z] 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. [2026-04-21T22:40:05.370Z] The best model improves the baseline by 14.52%. [2026-04-21T22:40:05.370Z] Top recommended movies for user id 72: [2026-04-21T22:40:05.370Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:40:05.370Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:40:05.370Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:40:05.370Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:40:05.370Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:40:05.370Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (20472.027 ms) ====== [2026-04-21T22:40:05.370Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-21T22:40:05.370Z] GC before operation: completed in 100.594 ms, heap usage 365.151 MB -> 89.449 MB. [2026-04-21T22:40:05.370Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:40:05.370Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:40:13.430Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:40:13.430Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:40:13.430Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:40:13.430Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:40:13.430Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:40:13.430Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:40:14.164Z] 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. [2026-04-21T22:40:14.164Z] The best model improves the baseline by 14.52%. [2026-04-21T22:40:14.164Z] Top recommended movies for user id 72: [2026-04-21T22:40:14.164Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:40:14.164Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:40:14.164Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:40:14.164Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:40:14.164Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:40:14.164Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (17928.119 ms) ====== [2026-04-21T22:40:14.164Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-21T22:40:14.164Z] GC before operation: completed in 148.858 ms, heap usage 847.772 MB -> 93.817 MB. [2026-04-21T22:40:19.329Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:40:20.653Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:40:23.274Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:40:26.298Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:40:28.363Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:40:29.677Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:40:31.084Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:40:33.222Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:40:33.222Z] 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. [2026-04-21T22:40:33.222Z] The best model improves the baseline by 14.52%. [2026-04-21T22:40:33.860Z] Top recommended movies for user id 72: [2026-04-21T22:40:33.860Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:40:33.860Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:40:33.860Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:40:33.860Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:40:33.860Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:40:33.860Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19373.361 ms) ====== [2026-04-21T22:40:33.860Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-21T22:40:33.860Z] GC before operation: completed in 83.544 ms, heap usage 363.877 MB -> 89.711 MB. [2026-04-21T22:40:36.016Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:40:38.893Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:40:41.766Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:40:44.657Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:40:46.078Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:40:48.139Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:40:49.456Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:40:50.834Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:40:51.466Z] 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. [2026-04-21T22:40:51.466Z] The best model improves the baseline by 14.52%. [2026-04-21T22:40:51.466Z] Top recommended movies for user id 72: [2026-04-21T22:40:51.466Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:40:51.466Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:40:51.466Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:40:51.466Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:40:51.466Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:40:51.466Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (17599.885 ms) ====== [2026-04-21T22:40:51.466Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-21T22:40:51.466Z] GC before operation: completed in 96.081 ms, heap usage 338.443 MB -> 89.819 MB. [2026-04-21T22:40:54.339Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:40:57.214Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:41:00.156Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:41:04.030Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:41:05.347Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:41:06.662Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:41:08.731Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:41:10.044Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:41:10.691Z] 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. [2026-04-21T22:41:10.691Z] The best model improves the baseline by 14.52%. [2026-04-21T22:41:10.691Z] Top recommended movies for user id 72: [2026-04-21T22:41:10.691Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:41:10.691Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:41:10.691Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:41:10.691Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:41:10.691Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:41:10.691Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19316.614 ms) ====== [2026-04-21T22:41:10.691Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-21T22:41:10.691Z] GC before operation: completed in 80.420 ms, heap usage 360.299 MB -> 89.834 MB. [2026-04-21T22:41:13.572Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:41:16.449Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:41:19.315Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:41:23.151Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:41:24.476Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:41:25.788Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:41:27.843Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:41:29.158Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:41:29.158Z] 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. [2026-04-21T22:41:29.158Z] The best model improves the baseline by 14.52%. [2026-04-21T22:41:29.789Z] Top recommended movies for user id 72: [2026-04-21T22:41:29.789Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:41:29.789Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:41:29.789Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:41:29.789Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:41:29.789Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:41:29.789Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18678.757 ms) ====== [2026-04-21T22:41:29.789Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-21T22:41:29.789Z] GC before operation: completed in 83.585 ms, heap usage 205.240 MB -> 89.780 MB. [2026-04-21T22:41:31.980Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:41:35.761Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:41:37.817Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:41:40.162Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:41:42.217Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:41:43.561Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:41:44.878Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:41:46.930Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:41:47.563Z] 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. [2026-04-21T22:41:47.563Z] The best model improves the baseline by 14.52%. [2026-04-21T22:41:47.563Z] Top recommended movies for user id 72: [2026-04-21T22:41:47.563Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:41:47.563Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:41:47.563Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:41:47.563Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:41:47.563Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:41:47.563Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (17966.137 ms) ====== [2026-04-21T22:41:47.563Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-21T22:41:47.563Z] GC before operation: completed in 94.609 ms, heap usage 174.225 MB -> 89.487 MB. [2026-04-21T22:41:50.433Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:41:53.311Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:41:56.188Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:42:02.157Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:42:02.787Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:42:04.836Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:42:06.165Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:42:08.232Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:42:08.232Z] 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. [2026-04-21T22:42:08.232Z] The best model improves the baseline by 14.52%. [2026-04-21T22:42:08.232Z] Top recommended movies for user id 72: [2026-04-21T22:42:08.232Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:42:08.232Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:42:08.232Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:42:08.232Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:42:08.232Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:42:08.232Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (20860.835 ms) ====== [2026-04-21T22:42:08.232Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-21T22:42:08.918Z] GC before operation: completed in 123.395 ms, heap usage 154.778 MB -> 89.621 MB. [2026-04-21T22:42:13.703Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:42:16.572Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:42:20.371Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:42:23.237Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:42:25.288Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:42:27.357Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:42:29.435Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:42:31.520Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:42:31.520Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-21T22:42:31.520Z] The best model improves the baseline by 14.52%. [2026-04-21T22:42:31.520Z] Top recommended movies for user id 72: [2026-04-21T22:42:31.520Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:42:31.520Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:42:31.520Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:42:31.520Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:42:31.520Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:42:31.520Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (23046.479 ms) ====== [2026-04-21T22:42:31.520Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-21T22:42:31.520Z] GC before operation: completed in 95.509 ms, heap usage 390.329 MB -> 90.063 MB. [2026-04-21T22:42:35.391Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:42:39.213Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:42:42.091Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:42:44.973Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:42:47.073Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:42:49.131Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:42:51.184Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:42:53.241Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:42:53.241Z] 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. [2026-04-21T22:42:53.241Z] The best model improves the baseline by 14.52%. [2026-04-21T22:42:53.875Z] Top recommended movies for user id 72: [2026-04-21T22:42:53.875Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:42:53.875Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:42:53.875Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:42:53.875Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:42:53.875Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:42:53.875Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (21877.995 ms) ====== [2026-04-21T22:42:53.875Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-21T22:42:53.875Z] GC before operation: completed in 96.370 ms, heap usage 296.963 MB -> 89.765 MB. [2026-04-21T22:42:56.761Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:42:59.630Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:43:03.408Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:43:06.287Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:43:07.598Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:43:09.702Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:43:11.763Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:43:13.128Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:43:13.759Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-21T22:43:13.759Z] The best model improves the baseline by 14.52%. [2026-04-21T22:43:13.759Z] Top recommended movies for user id 72: [2026-04-21T22:43:13.759Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:43:13.759Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:43:13.759Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:43:13.759Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:43:13.759Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:43:13.759Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (20108.268 ms) ====== [2026-04-21T22:43:13.759Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-21T22:43:13.759Z] GC before operation: completed in 105.232 ms, heap usage 150.115 MB -> 89.742 MB. [2026-04-21T22:43:17.538Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:43:20.416Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:43:25.209Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:43:28.992Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:43:30.386Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:43:32.438Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:43:33.754Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:43:35.806Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:43:36.441Z] 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. [2026-04-21T22:43:36.441Z] The best model improves the baseline by 14.52%. [2026-04-21T22:43:36.441Z] Top recommended movies for user id 72: [2026-04-21T22:43:36.441Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:43:36.441Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:43:36.441Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:43:36.441Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:43:36.441Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:43:36.441Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (22340.457 ms) ====== [2026-04-21T22:43:36.441Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-21T22:43:36.441Z] GC before operation: completed in 87.976 ms, heap usage 402.135 MB -> 89.956 MB. [2026-04-21T22:43:39.309Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:43:43.093Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:43:45.973Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:43:48.929Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:43:51.031Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:43:52.344Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:43:55.225Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:43:56.540Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:43:57.171Z] 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. [2026-04-21T22:43:57.171Z] The best model improves the baseline by 14.52%. [2026-04-21T22:43:57.171Z] Top recommended movies for user id 72: [2026-04-21T22:43:57.171Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:43:57.171Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:43:57.171Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:43:57.171Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:43:57.171Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:43:57.171Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (20707.571 ms) ====== [2026-04-21T22:43:57.171Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-21T22:43:57.171Z] GC before operation: completed in 93.770 ms, heap usage 181.225 MB -> 89.794 MB. [2026-04-21T22:44:01.007Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:44:03.887Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:44:07.666Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:44:10.544Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:44:12.599Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:44:13.914Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:44:15.974Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:44:18.029Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:44:18.029Z] 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. [2026-04-21T22:44:18.029Z] The best model improves the baseline by 14.52%. [2026-04-21T22:44:18.664Z] Top recommended movies for user id 72: [2026-04-21T22:44:18.664Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:44:18.664Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:44:18.664Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:44:18.664Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:44:18.664Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:44:18.664Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (21170.300 ms) ====== [2026-04-21T22:44:18.664Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-21T22:44:18.664Z] GC before operation: completed in 95.572 ms, heap usage 344.649 MB -> 89.896 MB. [2026-04-21T22:44:21.534Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:44:24.430Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:44:27.332Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:44:30.207Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:44:32.264Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:44:35.247Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:44:36.575Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:44:38.655Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:44:38.655Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-21T22:44:38.655Z] The best model improves the baseline by 14.52%. [2026-04-21T22:44:38.655Z] Top recommended movies for user id 72: [2026-04-21T22:44:38.655Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:44:38.655Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:44:38.655Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:44:38.655Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:44:38.655Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:44:38.655Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (20356.718 ms) ====== [2026-04-21T22:44:38.655Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-21T22:44:38.655Z] GC before operation: completed in 97.424 ms, heap usage 613.076 MB -> 93.632 MB. [2026-04-21T22:44:41.575Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:44:45.349Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:44:48.252Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:44:51.126Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:44:52.473Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:44:53.792Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:44:55.852Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:44:58.756Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:44:58.756Z] 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. [2026-04-21T22:44:58.756Z] The best model improves the baseline by 14.52%. [2026-04-21T22:44:58.756Z] Top recommended movies for user id 72: [2026-04-21T22:44:58.756Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:44:58.756Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:44:58.756Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:44:58.756Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:44:58.756Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:44:58.756Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19956.578 ms) ====== [2026-04-21T22:44:59.388Z] ----------------------------------- [2026-04-21T22:44:59.388Z] renaissance-movie-lens_0_PASSED [2026-04-21T22:44:59.388Z] ----------------------------------- [2026-04-21T22:44:59.388Z] [2026-04-21T22:44:59.388Z] TEST TEARDOWN: [2026-04-21T22:44:59.388Z] Nothing to be done for teardown. [2026-04-21T22:44:59.388Z] renaissance-movie-lens_0 Finish Time: Tue Apr 21 22:44:58 2026 Epoch Time (ms): 1776811498971