[2026-04-21T22:20:19.941Z] Running test renaissance-movie-lens_0 ... [2026-04-21T22:20:19.941Z] =============================================== [2026-04-21T22:20:19.941Z] renaissance-movie-lens_0 Start Time: Tue Apr 21 18:20:19 2026 Epoch Time (ms): 1776810019595 [2026-04-21T22:20:19.941Z] variation: NoOptions [2026-04-21T22:20:19.941Z] JVM_OPTIONS: [2026-04-21T22:20:19.941Z] { \ [2026-04-21T22:20:19.941Z] echo ""; echo "TEST SETUP:"; \ [2026-04-21T22:20:19.941Z] echo "Nothing to be done for setup."; \ [2026-04-21T22:20:19.941Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17768096408028/renaissance-movie-lens_0"; \ [2026-04-21T22:20:19.941Z] cd "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17768096408028/renaissance-movie-lens_0"; \ [2026-04-21T22:20:19.941Z] echo ""; echo "TESTING:"; \ [2026-04-21T22:20:19.941Z] "/Users/admin/workspace/workspace/Test_openjdk17_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_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17768096408028/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-21T22:20:19.941Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17768096408028/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-21T22:20:19.941Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-21T22:20:19.941Z] echo "Nothing to be done for teardown."; \ [2026-04-21T22:20:19.941Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17768096408028/TestTargetResult"; [2026-04-21T22:20:19.941Z] [2026-04-21T22:20:19.941Z] TEST SETUP: [2026-04-21T22:20:19.941Z] Nothing to be done for setup. [2026-04-21T22:20:19.941Z] [2026-04-21T22:20:19.941Z] TESTING: [2026-04-21T22:20:23.988Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-21T22:20:27.320Z] 18:20:26.448 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. [2026-04-21T22:20:27.713Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-21T22:20:28.129Z] Training: 60056, validation: 20285, test: 19854 [2026-04-21T22:20:28.129Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-21T22:20:28.129Z] GC before operation: completed in 57.882 ms, heap usage 192.542 MB -> 75.893 MB. [2026-04-21T22:20:32.259Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:20:35.271Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:20:37.281Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:20:39.213Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:20:40.056Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:20:41.547Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:20:42.366Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:20:43.275Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:20:43.275Z] 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. [2026-04-21T22:20:43.275Z] The best model improves the baseline by 14.52%. [2026-04-21T22:20:43.275Z] Top recommended movies for user id 72: [2026-04-21T22:20:43.275Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:20:43.275Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:20:43.275Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:20:43.275Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:20:43.275Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:20:43.275Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (15198.348 ms) ====== [2026-04-21T22:20:43.275Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-21T22:20:43.829Z] GC before operation: completed in 53.696 ms, heap usage 506.666 MB -> 96.976 MB. [2026-04-21T22:20:45.183Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:20:46.552Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:20:48.137Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:20:49.428Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:20:50.247Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:20:51.045Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:20:51.965Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:20:52.344Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:20:52.790Z] 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. [2026-04-21T22:20:52.790Z] The best model improves the baseline by 14.52%. [2026-04-21T22:20:52.790Z] Top recommended movies for user id 72: [2026-04-21T22:20:52.790Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:20:52.790Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:20:52.790Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:20:52.790Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:20:52.790Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:20:52.790Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (9212.063 ms) ====== [2026-04-21T22:20:52.790Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-21T22:20:52.790Z] GC before operation: completed in 58.000 ms, heap usage 435.387 MB -> 88.995 MB. [2026-04-21T22:20:54.032Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:20:55.859Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:20:57.145Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:20:58.388Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:20:58.778Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:20:59.545Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:21:00.314Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:21:01.118Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:21:01.118Z] 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. [2026-04-21T22:21:01.118Z] The best model improves the baseline by 14.52%. [2026-04-21T22:21:01.118Z] Top recommended movies for user id 72: [2026-04-21T22:21:01.118Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:21:01.118Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:21:01.118Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:21:01.118Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:21:01.118Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:21:01.118Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (8496.390 ms) ====== [2026-04-21T22:21:01.118Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-21T22:21:01.472Z] GC before operation: completed in 50.485 ms, heap usage 354.787 MB -> 89.674 MB. [2026-04-21T22:21:02.758Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:21:03.548Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:21:04.825Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:21:06.703Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:21:07.500Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:21:08.842Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:21:09.218Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:21:10.012Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:21:10.012Z] 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. [2026-04-21T22:21:10.012Z] The best model improves the baseline by 14.52%. [2026-04-21T22:21:10.012Z] Top recommended movies for user id 72: [2026-04-21T22:21:10.012Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:21:10.012Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:21:10.012Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:21:10.012Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:21:10.012Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:21:10.012Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (8656.174 ms) ====== [2026-04-21T22:21:10.012Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-21T22:21:10.012Z] GC before operation: completed in 43.407 ms, heap usage 238.440 MB -> 89.626 MB. [2026-04-21T22:21:11.292Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:21:12.562Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:21:13.355Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:21:14.687Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:21:15.046Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:21:15.857Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:21:16.313Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:21:17.090Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:21:17.090Z] 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. [2026-04-21T22:21:17.090Z] The best model improves the baseline by 14.52%. [2026-04-21T22:21:17.090Z] Top recommended movies for user id 72: [2026-04-21T22:21:17.090Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:21:17.090Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:21:17.090Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:21:17.090Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:21:17.090Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:21:17.090Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (7128.059 ms) ====== [2026-04-21T22:21:17.090Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-21T22:21:17.090Z] GC before operation: completed in 72.332 ms, heap usage 188.262 MB -> 89.761 MB. [2026-04-21T22:21:18.377Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:21:19.762Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:21:20.540Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:21:21.403Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:21:22.193Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:21:22.892Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:21:23.411Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:21:23.856Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:21:24.212Z] 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. [2026-04-21T22:21:24.212Z] The best model improves the baseline by 14.52%. [2026-04-21T22:21:24.212Z] Top recommended movies for user id 72: [2026-04-21T22:21:24.212Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:21:24.212Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:21:24.212Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:21:24.212Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:21:24.212Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:21:24.212Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (6906.461 ms) ====== [2026-04-21T22:21:24.212Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-21T22:21:24.212Z] GC before operation: completed in 39.967 ms, heap usage 481.967 MB -> 90.474 MB. [2026-04-21T22:21:25.576Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:21:26.366Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:21:27.632Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:21:29.456Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:21:29.883Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:21:31.259Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:21:32.040Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:21:32.971Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:21:32.971Z] 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. [2026-04-21T22:21:33.345Z] The best model improves the baseline by 14.52%. [2026-04-21T22:21:33.345Z] Top recommended movies for user id 72: [2026-04-21T22:21:33.345Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:21:33.345Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:21:33.345Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:21:33.345Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:21:33.345Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:21:33.345Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (9009.961 ms) ====== [2026-04-21T22:21:33.345Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-21T22:21:33.345Z] GC before operation: completed in 69.537 ms, heap usage 278.508 MB -> 90.116 MB. [2026-04-21T22:21:35.180Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:21:36.484Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:21:38.320Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:21:40.144Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:21:40.925Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:21:42.186Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:21:43.439Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:21:44.221Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:21:44.221Z] 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. [2026-04-21T22:21:44.221Z] The best model improves the baseline by 14.52%. [2026-04-21T22:21:44.593Z] Top recommended movies for user id 72: [2026-04-21T22:21:44.593Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:21:44.593Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:21:44.593Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:21:44.593Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:21:44.593Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:21:44.593Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (11188.778 ms) ====== [2026-04-21T22:21:44.593Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-21T22:21:44.593Z] GC before operation: completed in 69.952 ms, heap usage 247.253 MB -> 90.265 MB. [2026-04-21T22:21:46.352Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:21:48.149Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:21:49.394Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:21:51.175Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:21:52.438Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:21:53.229Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:21:54.474Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:21:55.255Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:21:55.255Z] 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. [2026-04-21T22:21:55.255Z] The best model improves the baseline by 14.52%. [2026-04-21T22:21:55.617Z] Top recommended movies for user id 72: [2026-04-21T22:21:55.617Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:21:55.617Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:21:55.617Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:21:55.617Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:21:55.617Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:21:55.617Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (10999.575 ms) ====== [2026-04-21T22:21:55.617Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-21T22:21:55.617Z] GC before operation: completed in 68.628 ms, heap usage 493.015 MB -> 90.521 MB. [2026-04-21T22:21:57.373Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:21:59.141Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:22:00.895Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:22:02.675Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:22:03.422Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:22:04.178Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:22:04.923Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:22:05.674Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:22:06.021Z] 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. [2026-04-21T22:22:06.021Z] The best model improves the baseline by 14.52%. [2026-04-21T22:22:06.021Z] Top recommended movies for user id 72: [2026-04-21T22:22:06.021Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:22:06.021Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:22:06.021Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:22:06.021Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:22:06.021Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:22:06.021Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (10416.207 ms) ====== [2026-04-21T22:22:06.021Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-21T22:22:06.021Z] GC before operation: completed in 63.564 ms, heap usage 301.952 MB -> 90.418 MB. [2026-04-21T22:22:07.247Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:22:08.996Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:22:10.210Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:22:11.430Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:22:12.190Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:22:12.992Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:22:14.205Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:22:14.967Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:22:14.967Z] 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. [2026-04-21T22:22:14.967Z] The best model improves the baseline by 14.52%. [2026-04-21T22:22:14.967Z] Top recommended movies for user id 72: [2026-04-21T22:22:14.967Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:22:14.967Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:22:14.967Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:22:14.967Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:22:14.967Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:22:14.967Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (8982.047 ms) ====== [2026-04-21T22:22:14.967Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-21T22:22:14.967Z] GC before operation: completed in 61.994 ms, heap usage 204.783 MB -> 92.383 MB. [2026-04-21T22:22:16.773Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:22:18.002Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:22:19.220Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:22:20.977Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:22:21.718Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:22:22.488Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:22:23.691Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:22:24.439Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:22:24.792Z] 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. [2026-04-21T22:22:24.792Z] The best model improves the baseline by 14.52%. [2026-04-21T22:22:24.792Z] Top recommended movies for user id 72: [2026-04-21T22:22:24.792Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:22:24.792Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:22:24.792Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:22:24.792Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:22:24.792Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:22:24.792Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (9728.616 ms) ====== [2026-04-21T22:22:24.792Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-21T22:22:24.792Z] GC before operation: completed in 67.329 ms, heap usage 164.544 MB -> 91.056 MB. [2026-04-21T22:22:26.571Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:22:28.346Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:22:30.135Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:22:31.347Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:22:32.571Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:22:33.358Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:22:34.607Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:22:35.379Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:22:35.379Z] 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. [2026-04-21T22:22:35.379Z] The best model improves the baseline by 14.52%. [2026-04-21T22:22:35.745Z] Top recommended movies for user id 72: [2026-04-21T22:22:35.745Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:22:35.745Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:22:35.745Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:22:35.745Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:22:35.745Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:22:35.745Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (10697.205 ms) ====== [2026-04-21T22:22:35.745Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-21T22:22:35.745Z] GC before operation: completed in 74.420 ms, heap usage 261.531 MB -> 90.467 MB. [2026-04-21T22:22:37.130Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:22:38.875Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:22:40.613Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:22:41.859Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:22:43.075Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:22:43.820Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:22:45.063Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:22:45.816Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:22:45.816Z] 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. [2026-04-21T22:22:45.816Z] The best model improves the baseline by 14.52%. [2026-04-21T22:22:46.167Z] Top recommended movies for user id 72: [2026-04-21T22:22:46.167Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:22:46.167Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:22:46.167Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:22:46.167Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:22:46.167Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:22:46.167Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (10388.105 ms) ====== [2026-04-21T22:22:46.167Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-21T22:22:46.167Z] GC before operation: completed in 67.446 ms, heap usage 492.524 MB -> 90.587 MB. [2026-04-21T22:22:47.902Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:22:49.122Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:22:50.343Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:22:51.550Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:22:52.296Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:22:53.042Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:22:53.805Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:22:54.570Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:22:54.929Z] 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. [2026-04-21T22:22:54.929Z] The best model improves the baseline by 14.52%. [2026-04-21T22:22:54.929Z] Top recommended movies for user id 72: [2026-04-21T22:22:54.929Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:22:54.929Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:22:54.929Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:22:54.929Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:22:54.929Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:22:54.929Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (8759.714 ms) ====== [2026-04-21T22:22:54.929Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-21T22:22:54.929Z] GC before operation: completed in 58.431 ms, heap usage 599.667 MB -> 94.290 MB. [2026-04-21T22:22:56.138Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:22:57.900Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:22:58.682Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:22:59.903Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:23:00.655Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:23:01.017Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:23:01.783Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:23:02.541Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:23:02.541Z] 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. [2026-04-21T22:23:02.541Z] The best model improves the baseline by 14.52%. [2026-04-21T22:23:02.896Z] Top recommended movies for user id 72: [2026-04-21T22:23:02.896Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:23:02.896Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:23:02.896Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:23:02.896Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:23:02.896Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:23:02.896Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (7795.929 ms) ====== [2026-04-21T22:23:02.896Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-21T22:23:02.896Z] GC before operation: completed in 48.570 ms, heap usage 196.981 MB -> 90.214 MB. [2026-04-21T22:23:04.148Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:23:04.916Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:23:06.176Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:23:07.389Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:23:07.742Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:23:08.487Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:23:09.233Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:23:09.588Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:23:09.932Z] 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. [2026-04-21T22:23:09.933Z] The best model improves the baseline by 14.52%. [2026-04-21T22:23:09.933Z] Top recommended movies for user id 72: [2026-04-21T22:23:09.933Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:23:09.933Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:23:09.933Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:23:09.933Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:23:09.933Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:23:09.933Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (7075.464 ms) ====== [2026-04-21T22:23:09.933Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-21T22:23:09.933Z] GC before operation: completed in 39.888 ms, heap usage 520.336 MB -> 93.964 MB. [2026-04-21T22:23:11.132Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:23:11.879Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:23:12.625Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:23:13.833Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:23:14.190Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:23:14.937Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:23:15.689Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:23:16.034Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:23:16.034Z] 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. [2026-04-21T22:23:16.034Z] The best model improves the baseline by 14.52%. [2026-04-21T22:23:16.391Z] Top recommended movies for user id 72: [2026-04-21T22:23:16.391Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:23:16.391Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:23:16.391Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:23:16.391Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:23:16.391Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:23:16.391Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (6329.469 ms) ====== [2026-04-21T22:23:16.391Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-21T22:23:16.391Z] GC before operation: completed in 40.713 ms, heap usage 435.285 MB -> 92.842 MB. [2026-04-21T22:23:17.142Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:23:18.355Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:23:19.560Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:23:20.309Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:23:21.076Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:23:21.823Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:23:22.581Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:23:23.338Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:23:23.695Z] 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. [2026-04-21T22:23:23.695Z] The best model improves the baseline by 14.52%. [2026-04-21T22:23:23.695Z] Top recommended movies for user id 72: [2026-04-21T22:23:23.695Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:23:23.695Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:23:23.695Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:23:23.695Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:23:23.695Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:23:23.695Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (7472.831 ms) ====== [2026-04-21T22:23:23.695Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-21T22:23:23.695Z] GC before operation: completed in 80.954 ms, heap usage 196.933 MB -> 92.497 MB. [2026-04-21T22:23:25.473Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:23:26.686Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:23:27.908Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:23:28.657Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:23:29.406Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:23:30.159Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:23:30.912Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:23:31.656Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:23:31.656Z] 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. [2026-04-21T22:23:31.656Z] The best model improves the baseline by 14.52%. [2026-04-21T22:23:31.999Z] Top recommended movies for user id 72: [2026-04-21T22:23:31.999Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:23:31.999Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:23:31.999Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:23:31.999Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:23:31.999Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:23:31.999Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (8052.722 ms) ====== [2026-04-21T22:23:32.342Z] ----------------------------------- [2026-04-21T22:23:32.342Z] renaissance-movie-lens_0_PASSED [2026-04-21T22:23:32.342Z] ----------------------------------- [2026-04-21T22:23:32.342Z] [2026-04-21T22:23:32.342Z] TEST TEARDOWN: [2026-04-21T22:23:32.342Z] Nothing to be done for teardown. [2026-04-21T22:23:32.342Z] renaissance-movie-lens_0 Finish Time: Tue Apr 21 18:23:32 2026 Epoch Time (ms): 1776810212077