[2026-01-10T01:51:27.537Z] Running test renaissance-movie-lens_0 ... [2026-01-10T01:51:27.537Z] =============================================== [2026-01-10T01:51:27.537Z] renaissance-movie-lens_0 Start Time: Fri Jan 9 20:51:27 2026 Epoch Time (ms): 1768009887176 [2026-01-10T01:51:27.537Z] variation: NoOptions [2026-01-10T01:51:27.537Z] JVM_OPTIONS: [2026-01-10T01:51:27.537Z] { \ [2026-01-10T01:51:27.537Z] echo ""; echo "TEST SETUP:"; \ [2026-01-10T01:51:27.537Z] echo "Nothing to be done for setup."; \ [2026-01-10T01:51:27.537Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17680092294013/renaissance-movie-lens_0"; \ [2026-01-10T01:51:27.537Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17680092294013/renaissance-movie-lens_0"; \ [2026-01-10T01:51:27.537Z] echo ""; echo "TESTING:"; \ [2026-01-10T01:51:27.537Z] "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_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/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17680092294013/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-10T01:51:27.537Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17680092294013/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-10T01:51:27.537Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-10T01:51:27.537Z] echo "Nothing to be done for teardown."; \ [2026-01-10T01:51:27.537Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17680092294013/TestTargetResult"; [2026-01-10T01:51:27.537Z] [2026-01-10T01:51:27.537Z] TEST SETUP: [2026-01-10T01:51:27.537Z] Nothing to be done for setup. [2026-01-10T01:51:27.537Z] [2026-01-10T01:51:27.537Z] TESTING: [2026-01-10T01:51:27.909Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-10T01:51:27.909Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/output_17680092294013/renaissance-movie-lens_0/launcher-205127-6395984485039139565/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-10T01:51:27.909Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-10T01:51:27.909Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-10T01:51:31.030Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-10T01:51:35.033Z] 20:51:34.872 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-10T01:51:36.339Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-10T01:51:36.339Z] Training: 60056, validation: 20285, test: 19854 [2026-01-10T01:51:36.339Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-10T01:51:36.339Z] GC before operation: completed in 84.044 ms, heap usage 250.726 MB -> 75.860 MB. [2026-01-10T01:51:39.569Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T01:51:41.966Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T01:51:43.792Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T01:51:46.328Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T01:51:46.681Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T01:51:47.456Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T01:51:48.683Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T01:51:49.051Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T01:51:49.407Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T01:51:49.407Z] The best model improves the baseline by 14.52%. [2026-01-10T01:51:49.407Z] Top recommended movies for user id 72: [2026-01-10T01:51:49.407Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T01:51:49.407Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T01:51:49.407Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T01:51:49.407Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T01:51:49.407Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T01:51:49.407Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (12961.389 ms) ====== [2026-01-10T01:51:49.407Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-10T01:51:49.407Z] GC before operation: completed in 63.068 ms, heap usage 360.042 MB -> 92.153 MB. [2026-01-10T01:51:51.172Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T01:51:52.381Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T01:51:53.601Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T01:51:54.837Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T01:51:55.593Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T01:51:56.354Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T01:51:57.100Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T01:51:57.861Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T01:51:58.219Z] 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. [2026-01-10T01:51:58.219Z] The best model improves the baseline by 14.52%. [2026-01-10T01:51:58.219Z] Top recommended movies for user id 72: [2026-01-10T01:51:58.219Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T01:51:58.219Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T01:51:58.219Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T01:51:58.219Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T01:51:58.219Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T01:51:58.219Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (8708.239 ms) ====== [2026-01-10T01:51:58.219Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-10T01:51:58.219Z] GC before operation: completed in 50.359 ms, heap usage 373.814 MB -> 88.910 MB. [2026-01-10T01:51:59.436Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T01:52:01.306Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T01:52:02.532Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T01:52:04.313Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T01:52:05.543Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T01:52:06.799Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T01:52:08.027Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T01:52:08.814Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T01:52:09.174Z] 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. [2026-01-10T01:52:09.174Z] The best model improves the baseline by 14.52%. [2026-01-10T01:52:09.174Z] Top recommended movies for user id 72: [2026-01-10T01:52:09.174Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T01:52:09.174Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T01:52:09.174Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T01:52:09.174Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T01:52:09.175Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T01:52:09.175Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (10899.534 ms) ====== [2026-01-10T01:52:09.175Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-10T01:52:09.175Z] GC before operation: completed in 81.874 ms, heap usage 166.949 MB -> 89.242 MB. [2026-01-10T01:52:10.978Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T01:52:13.429Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T01:52:15.226Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T01:52:17.029Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T01:52:18.262Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T01:52:19.039Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T01:52:20.274Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T01:52:21.510Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T01:52:21.510Z] 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. [2026-01-10T01:52:21.510Z] The best model improves the baseline by 14.52%. [2026-01-10T01:52:21.510Z] Top recommended movies for user id 72: [2026-01-10T01:52:21.510Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T01:52:21.510Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T01:52:21.510Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T01:52:21.510Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T01:52:21.510Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T01:52:21.510Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (12314.318 ms) ====== [2026-01-10T01:52:21.510Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-10T01:52:21.510Z] GC before operation: completed in 82.382 ms, heap usage 404.394 MB -> 89.778 MB. [2026-01-10T01:52:23.289Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T01:52:25.177Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T01:52:26.397Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T01:52:27.628Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T01:52:28.377Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T01:52:29.135Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T01:52:30.403Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T01:52:30.753Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T01:52:31.102Z] 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. [2026-01-10T01:52:31.102Z] The best model improves the baseline by 14.52%. [2026-01-10T01:52:31.102Z] Top recommended movies for user id 72: [2026-01-10T01:52:31.102Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T01:52:31.102Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T01:52:31.102Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T01:52:31.102Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T01:52:31.102Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T01:52:31.102Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (9505.493 ms) ====== [2026-01-10T01:52:31.102Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-10T01:52:31.102Z] GC before operation: completed in 66.892 ms, heap usage 433.694 MB -> 89.914 MB. [2026-01-10T01:52:32.325Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T01:52:34.090Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T01:52:35.865Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T01:52:37.631Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T01:52:38.889Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T01:52:39.667Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T01:52:40.437Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T01:52:41.721Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T01:52:41.721Z] 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. [2026-01-10T01:52:41.721Z] The best model improves the baseline by 14.52%. [2026-01-10T01:52:41.721Z] Top recommended movies for user id 72: [2026-01-10T01:52:41.721Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T01:52:41.721Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T01:52:41.721Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T01:52:41.721Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T01:52:41.721Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T01:52:41.721Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (10583.831 ms) ====== [2026-01-10T01:52:41.721Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-10T01:52:41.721Z] GC before operation: completed in 61.993 ms, heap usage 266.644 MB -> 89.895 MB. [2026-01-10T01:52:43.493Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T01:52:44.703Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T01:52:45.924Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T01:52:47.684Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T01:52:48.039Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T01:52:48.819Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T01:52:49.572Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T01:52:50.335Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T01:52:50.335Z] 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. [2026-01-10T01:52:50.335Z] The best model improves the baseline by 14.52%. [2026-01-10T01:52:50.335Z] Top recommended movies for user id 72: [2026-01-10T01:52:50.335Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T01:52:50.335Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T01:52:50.335Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T01:52:50.335Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T01:52:50.335Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T01:52:50.335Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (8539.834 ms) ====== [2026-01-10T01:52:50.335Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-10T01:52:50.335Z] GC before operation: completed in 47.144 ms, heap usage 294.738 MB -> 89.994 MB. [2026-01-10T01:52:51.544Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T01:52:52.783Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T01:52:54.000Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T01:52:55.211Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T01:52:55.977Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T01:52:56.731Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T01:52:57.500Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T01:52:58.267Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T01:52:58.267Z] 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. [2026-01-10T01:52:58.267Z] The best model improves the baseline by 14.52%. [2026-01-10T01:52:58.267Z] Top recommended movies for user id 72: [2026-01-10T01:52:58.267Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T01:52:58.267Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T01:52:58.267Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T01:52:58.267Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T01:52:58.267Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T01:52:58.267Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (7763.404 ms) ====== [2026-01-10T01:52:58.267Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-10T01:52:58.267Z] GC before operation: completed in 50.160 ms, heap usage 202.137 MB -> 89.988 MB. [2026-01-10T01:52:59.673Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T01:53:00.449Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T01:53:01.714Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T01:53:02.968Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T01:53:04.205Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T01:53:04.958Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T01:53:05.733Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T01:53:06.493Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T01:53:06.493Z] 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. [2026-01-10T01:53:06.493Z] The best model improves the baseline by 14.52%. [2026-01-10T01:53:06.848Z] Top recommended movies for user id 72: [2026-01-10T01:53:06.848Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T01:53:06.848Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T01:53:06.848Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T01:53:06.848Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T01:53:06.848Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T01:53:06.848Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (8441.077 ms) ====== [2026-01-10T01:53:06.848Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-10T01:53:06.848Z] GC before operation: completed in 49.221 ms, heap usage 135.583 MB -> 89.775 MB. [2026-01-10T01:53:08.077Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T01:53:09.308Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T01:53:10.525Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T01:53:12.308Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T01:53:12.662Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T01:53:13.460Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T01:53:14.733Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T01:53:15.501Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T01:53:15.501Z] 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. [2026-01-10T01:53:15.501Z] The best model improves the baseline by 14.52%. [2026-01-10T01:53:15.860Z] Top recommended movies for user id 72: [2026-01-10T01:53:15.860Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T01:53:15.860Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T01:53:15.860Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T01:53:15.860Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T01:53:15.860Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T01:53:15.860Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (8929.880 ms) ====== [2026-01-10T01:53:15.860Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-10T01:53:15.860Z] GC before operation: completed in 55.997 ms, heap usage 350.664 MB -> 90.268 MB. [2026-01-10T01:53:17.082Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T01:53:18.307Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T01:53:19.553Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T01:53:21.315Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T01:53:21.667Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T01:53:22.427Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T01:53:23.187Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T01:53:23.934Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T01:53:23.934Z] 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. [2026-01-10T01:53:23.934Z] The best model improves the baseline by 14.52%. [2026-01-10T01:53:23.934Z] Top recommended movies for user id 72: [2026-01-10T01:53:23.934Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T01:53:23.934Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T01:53:23.934Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T01:53:23.934Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T01:53:23.934Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T01:53:23.934Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (8256.988 ms) ====== [2026-01-10T01:53:23.934Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-10T01:53:23.934Z] GC before operation: completed in 52.598 ms, heap usage 419.759 MB -> 90.202 MB. [2026-01-10T01:53:25.173Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T01:53:26.405Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T01:53:27.635Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T01:53:28.864Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T01:53:29.628Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T01:53:29.980Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T01:53:30.830Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T01:53:31.584Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T01:53:31.584Z] 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. [2026-01-10T01:53:31.584Z] The best model improves the baseline by 14.52%. [2026-01-10T01:53:31.584Z] Top recommended movies for user id 72: [2026-01-10T01:53:31.584Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T01:53:31.584Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T01:53:31.584Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T01:53:31.584Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T01:53:31.584Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T01:53:31.584Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (7606.373 ms) ====== [2026-01-10T01:53:31.584Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-10T01:53:31.584Z] GC before operation: completed in 46.672 ms, heap usage 371.398 MB -> 90.376 MB. [2026-01-10T01:53:32.814Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T01:53:34.584Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T01:53:36.403Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T01:53:37.665Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T01:53:38.415Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T01:53:39.202Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T01:53:39.951Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T01:53:40.709Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T01:53:40.709Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T01:53:40.709Z] The best model improves the baseline by 14.52%. [2026-01-10T01:53:40.709Z] Top recommended movies for user id 72: [2026-01-10T01:53:40.709Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T01:53:40.709Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T01:53:40.709Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T01:53:40.709Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T01:53:40.709Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T01:53:40.709Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (9125.471 ms) ====== [2026-01-10T01:53:40.709Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-10T01:53:41.059Z] GC before operation: completed in 49.347 ms, heap usage 304.612 MB -> 90.373 MB. [2026-01-10T01:53:42.277Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T01:53:43.499Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T01:53:44.713Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T01:53:45.952Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T01:53:46.302Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T01:53:47.171Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T01:53:47.922Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T01:53:48.718Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T01:53:49.065Z] 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. [2026-01-10T01:53:49.065Z] The best model improves the baseline by 14.52%. [2026-01-10T01:53:49.065Z] Top recommended movies for user id 72: [2026-01-10T01:53:49.065Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T01:53:49.065Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T01:53:49.065Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T01:53:49.065Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T01:53:49.065Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T01:53:49.065Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (8067.924 ms) ====== [2026-01-10T01:53:49.065Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-10T01:53:49.065Z] GC before operation: completed in 46.088 ms, heap usage 135.483 MB -> 89.898 MB. [2026-01-10T01:53:50.277Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T01:53:51.504Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T01:53:52.732Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T01:53:53.945Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T01:53:54.713Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T01:53:55.952Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T01:53:56.732Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T01:53:57.967Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T01:53:57.967Z] 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. [2026-01-10T01:53:57.967Z] The best model improves the baseline by 14.52%. [2026-01-10T01:53:57.967Z] Top recommended movies for user id 72: [2026-01-10T01:53:57.967Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T01:53:57.967Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T01:53:57.967Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T01:53:57.967Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T01:53:57.967Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T01:53:57.967Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (8984.372 ms) ====== [2026-01-10T01:53:57.967Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-10T01:53:57.967Z] GC before operation: completed in 85.553 ms, heap usage 235.941 MB -> 90.263 MB. [2026-01-10T01:53:59.715Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T01:54:00.941Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T01:54:02.177Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T01:54:03.428Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T01:54:04.194Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T01:54:04.952Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T01:54:06.194Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T01:54:07.000Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T01:54:07.000Z] 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. [2026-01-10T01:54:07.000Z] The best model improves the baseline by 14.52%. [2026-01-10T01:54:07.000Z] Top recommended movies for user id 72: [2026-01-10T01:54:07.000Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T01:54:07.000Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T01:54:07.000Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T01:54:07.000Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T01:54:07.000Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T01:54:07.000Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (8898.597 ms) ====== [2026-01-10T01:54:07.000Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-10T01:54:07.000Z] GC before operation: completed in 57.230 ms, heap usage 471.635 MB -> 90.507 MB. [2026-01-10T01:54:08.219Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T01:54:09.997Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T01:54:11.223Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T01:54:12.457Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T01:54:13.215Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T01:54:13.971Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T01:54:15.208Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T01:54:15.968Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T01:54:15.968Z] 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. [2026-01-10T01:54:15.968Z] The best model improves the baseline by 14.52%. [2026-01-10T01:54:16.339Z] Top recommended movies for user id 72: [2026-01-10T01:54:16.339Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T01:54:16.339Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T01:54:16.339Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T01:54:16.339Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T01:54:16.339Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T01:54:16.339Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (9113.413 ms) ====== [2026-01-10T01:54:16.339Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-10T01:54:16.339Z] GC before operation: completed in 72.035 ms, heap usage 360.644 MB -> 90.367 MB. [2026-01-10T01:54:18.105Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T01:54:19.342Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T01:54:20.572Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T01:54:21.801Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T01:54:23.037Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T01:54:23.391Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T01:54:24.156Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T01:54:24.922Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T01:54:25.282Z] 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. [2026-01-10T01:54:25.282Z] The best model improves the baseline by 14.52%. [2026-01-10T01:54:25.282Z] Top recommended movies for user id 72: [2026-01-10T01:54:25.282Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T01:54:25.282Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T01:54:25.282Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T01:54:25.282Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T01:54:25.282Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T01:54:25.282Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (8956.141 ms) ====== [2026-01-10T01:54:25.282Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-10T01:54:25.282Z] GC before operation: completed in 48.027 ms, heap usage 442.139 MB -> 90.275 MB. [2026-01-10T01:54:26.656Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T01:54:27.889Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T01:54:29.680Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T01:54:30.997Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T01:54:31.772Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T01:54:32.552Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T01:54:33.796Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T01:54:35.088Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T01:54:35.088Z] 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. [2026-01-10T01:54:35.088Z] The best model improves the baseline by 14.52%. [2026-01-10T01:54:35.088Z] Top recommended movies for user id 72: [2026-01-10T01:54:35.088Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T01:54:35.088Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T01:54:35.088Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T01:54:35.088Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T01:54:35.088Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T01:54:35.088Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (9831.078 ms) ====== [2026-01-10T01:54:35.088Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-10T01:54:35.088Z] GC before operation: completed in 65.313 ms, heap usage 174.587 MB -> 90.063 MB. [2026-01-10T01:54:36.919Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T01:54:38.777Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T01:54:40.053Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T01:54:41.852Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T01:54:42.644Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T01:54:43.879Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T01:54:45.130Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T01:54:45.957Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T01:54:46.315Z] 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. [2026-01-10T01:54:46.315Z] The best model improves the baseline by 14.52%. [2026-01-10T01:54:46.315Z] Top recommended movies for user id 72: [2026-01-10T01:54:46.315Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T01:54:46.315Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T01:54:46.315Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T01:54:46.315Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T01:54:46.315Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T01:54:46.315Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (11125.782 ms) ====== [2026-01-10T01:54:46.674Z] ----------------------------------- [2026-01-10T01:54:46.674Z] renaissance-movie-lens_0_PASSED [2026-01-10T01:54:46.674Z] ----------------------------------- [2026-01-10T01:54:46.674Z] [2026-01-10T01:54:46.674Z] TEST TEARDOWN: [2026-01-10T01:54:46.674Z] Nothing to be done for teardown. [2026-01-10T01:54:46.674Z] renaissance-movie-lens_0 Finish Time: Fri Jan 9 20:54:46 2026 Epoch Time (ms): 1768010086377