[2026-02-18T21:38:59.263Z] Running test renaissance-movie-lens_0 ... [2026-02-18T21:38:59.263Z] =============================================== [2026-02-18T21:38:59.263Z] renaissance-movie-lens_0 Start Time: Wed Feb 18 16:38:58 2026 Epoch Time (ms): 1771450738987 [2026-02-18T21:38:59.263Z] variation: NoOptions [2026-02-18T21:38:59.263Z] JVM_OPTIONS: [2026-02-18T21:38:59.263Z] { \ [2026-02-18T21:38:59.263Z] echo ""; echo "TEST SETUP:"; \ [2026-02-18T21:38:59.263Z] echo "Nothing to be done for setup."; \ [2026-02-18T21:38:59.263Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17714504438625/renaissance-movie-lens_0"; \ [2026-02-18T21:38:59.263Z] cd "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17714504438625/renaissance-movie-lens_0"; \ [2026-02-18T21:38:59.263Z] echo ""; echo "TESTING:"; \ [2026-02-18T21:38:59.263Z] "/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_17714504438625/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-18T21:38:59.263Z] 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_17714504438625/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-18T21:38:59.263Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-18T21:38:59.263Z] echo "Nothing to be done for teardown."; \ [2026-02-18T21:38:59.263Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17714504438625/TestTargetResult"; [2026-02-18T21:38:59.263Z] [2026-02-18T21:38:59.263Z] TEST SETUP: [2026-02-18T21:38:59.263Z] Nothing to be done for setup. [2026-02-18T21:38:59.263Z] [2026-02-18T21:38:59.263Z] TESTING: [2026-02-18T21:39:01.720Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-18T21:39:04.406Z] 16:39:04.097 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. [2026-02-18T21:39:05.207Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-18T21:39:05.591Z] Training: 60056, validation: 20285, test: 19854 [2026-02-18T21:39:05.591Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-18T21:39:05.591Z] GC before operation: completed in 34.484 ms, heap usage 113.428 MB -> 75.700 MB. [2026-02-18T21:39:08.868Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:39:10.812Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:39:13.566Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:39:14.892Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:39:15.721Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:39:16.595Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:39:17.412Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:39:18.216Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:39:18.216Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T21:39:18.605Z] The best model improves the baseline by 14.52%. [2026-02-18T21:39:18.605Z] Top recommended movies for user id 72: [2026-02-18T21:39:18.605Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:39:18.605Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:39:18.605Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:39:18.605Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:39:18.605Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:39:18.605Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (12914.401 ms) ====== [2026-02-18T21:39:18.605Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-18T21:39:18.605Z] GC before operation: completed in 70.709 ms, heap usage 198.687 MB -> 95.795 MB. [2026-02-18T21:39:20.711Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:39:22.070Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:39:23.940Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:39:25.225Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:39:26.003Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:39:26.786Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:39:27.249Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:39:28.024Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:39:28.024Z] 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. [2026-02-18T21:39:28.382Z] The best model improves the baseline by 14.52%. [2026-02-18T21:39:28.382Z] Top recommended movies for user id 72: [2026-02-18T21:39:28.382Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:39:28.382Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:39:28.382Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:39:28.382Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:39:28.382Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:39:28.382Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (9694.381 ms) ====== [2026-02-18T21:39:28.382Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-18T21:39:28.382Z] GC before operation: completed in 47.575 ms, heap usage 751.183 MB -> 94.811 MB. [2026-02-18T21:39:29.894Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:39:30.730Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:39:32.025Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:39:32.968Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:39:33.757Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:39:34.541Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:39:35.344Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:39:36.121Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:39:36.121Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T21:39:36.121Z] The best model improves the baseline by 14.52%. [2026-02-18T21:39:36.121Z] Top recommended movies for user id 72: [2026-02-18T21:39:36.121Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:39:36.121Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:39:36.121Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:39:36.121Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:39:36.121Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:39:36.121Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (7912.701 ms) ====== [2026-02-18T21:39:36.121Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-18T21:39:36.121Z] GC before operation: completed in 41.031 ms, heap usage 212.713 MB -> 90.547 MB. [2026-02-18T21:39:37.474Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:39:38.728Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:39:40.007Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:39:41.262Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:39:42.056Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:39:42.872Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:39:43.245Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:39:44.016Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:39:44.430Z] 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. [2026-02-18T21:39:44.431Z] The best model improves the baseline by 14.52%. [2026-02-18T21:39:44.431Z] Top recommended movies for user id 72: [2026-02-18T21:39:44.431Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:39:44.431Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:39:44.431Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:39:44.431Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:39:44.431Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:39:44.431Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (7999.144 ms) ====== [2026-02-18T21:39:44.431Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-18T21:39:44.431Z] GC before operation: completed in 47.882 ms, heap usage 499.555 MB -> 90.013 MB. [2026-02-18T21:39:45.379Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:39:46.679Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:39:48.016Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:39:49.338Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:39:49.778Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:39:50.573Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:39:51.349Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:39:52.117Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:39:52.117Z] 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. [2026-02-18T21:39:52.117Z] The best model improves the baseline by 14.52%. [2026-02-18T21:39:52.117Z] Top recommended movies for user id 72: [2026-02-18T21:39:52.117Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:39:52.117Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:39:52.117Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:39:52.117Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:39:52.117Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:39:52.117Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (7795.349 ms) ====== [2026-02-18T21:39:52.117Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-18T21:39:52.117Z] GC before operation: completed in 45.889 ms, heap usage 603.438 MB -> 93.342 MB. [2026-02-18T21:39:53.361Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:39:54.680Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:39:55.996Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:39:56.778Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:39:58.025Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:39:58.397Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:39:59.199Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:40:00.008Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:40:00.008Z] 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. [2026-02-18T21:40:00.008Z] The best model improves the baseline by 14.52%. [2026-02-18T21:40:00.008Z] Top recommended movies for user id 72: [2026-02-18T21:40:00.008Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:40:00.008Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:40:00.008Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:40:00.008Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:40:00.008Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:40:00.008Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (7972.530 ms) ====== [2026-02-18T21:40:00.008Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-18T21:40:00.393Z] GC before operation: completed in 43.093 ms, heap usage 184.163 MB -> 93.431 MB. [2026-02-18T21:40:01.639Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:40:02.516Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:40:03.842Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:40:04.678Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:40:05.619Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:40:06.392Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:40:07.231Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:40:07.604Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:40:07.604Z] 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. [2026-02-18T21:40:07.604Z] The best model improves the baseline by 14.52%. [2026-02-18T21:40:07.979Z] Top recommended movies for user id 72: [2026-02-18T21:40:07.979Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:40:07.979Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:40:07.979Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:40:07.979Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:40:07.979Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:40:07.979Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (7643.300 ms) ====== [2026-02-18T21:40:07.979Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-18T21:40:07.979Z] GC before operation: completed in 45.819 ms, heap usage 250.183 MB -> 89.935 MB. [2026-02-18T21:40:08.954Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:40:10.182Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:40:11.001Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:40:12.305Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:40:12.667Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:40:13.488Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:40:13.863Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:40:14.621Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:40:14.621Z] 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. [2026-02-18T21:40:14.621Z] The best model improves the baseline by 14.52%. [2026-02-18T21:40:15.170Z] Top recommended movies for user id 72: [2026-02-18T21:40:15.170Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:40:15.170Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:40:15.170Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:40:15.170Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:40:15.170Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:40:15.170Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (6988.471 ms) ====== [2026-02-18T21:40:15.170Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-18T21:40:15.170Z] GC before operation: completed in 48.408 ms, heap usage 199.750 MB -> 90.266 MB. [2026-02-18T21:40:16.482Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:40:17.804Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:40:19.079Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:40:20.361Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:40:21.192Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:40:21.991Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:40:22.783Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:40:23.186Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:40:23.186Z] 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. [2026-02-18T21:40:23.186Z] The best model improves the baseline by 14.52%. [2026-02-18T21:40:23.551Z] Top recommended movies for user id 72: [2026-02-18T21:40:23.551Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:40:23.551Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:40:23.551Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:40:23.551Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:40:23.551Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:40:23.551Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (8511.488 ms) ====== [2026-02-18T21:40:23.551Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-18T21:40:23.551Z] GC before operation: completed in 55.732 ms, heap usage 192.976 MB -> 90.022 MB. [2026-02-18T21:40:24.483Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:40:25.450Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:40:26.769Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:40:27.594Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:40:28.375Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:40:29.191Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:40:29.570Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:40:30.470Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:40:30.470Z] 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. [2026-02-18T21:40:30.470Z] The best model improves the baseline by 14.52%. [2026-02-18T21:40:30.470Z] Top recommended movies for user id 72: [2026-02-18T21:40:30.470Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:40:30.470Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:40:30.470Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:40:30.470Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:40:30.470Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:40:30.471Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (6982.275 ms) ====== [2026-02-18T21:40:30.471Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-18T21:40:30.471Z] GC before operation: completed in 42.387 ms, heap usage 601.461 MB -> 93.953 MB. [2026-02-18T21:40:31.454Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:40:32.314Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:40:33.618Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:40:34.468Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:40:34.828Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:40:35.744Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:40:36.111Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:40:36.535Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:40:36.535Z] 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. [2026-02-18T21:40:36.535Z] The best model improves the baseline by 14.52%. [2026-02-18T21:40:36.953Z] Top recommended movies for user id 72: [2026-02-18T21:40:36.953Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:40:36.953Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:40:36.953Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:40:36.953Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:40:36.953Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:40:36.953Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (6241.378 ms) ====== [2026-02-18T21:40:36.953Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-18T21:40:36.953Z] GC before operation: completed in 40.455 ms, heap usage 251.065 MB -> 90.057 MB. [2026-02-18T21:40:37.958Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:40:38.783Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:40:39.581Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:40:40.976Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:40:41.346Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:40:41.717Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:40:42.519Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:40:43.282Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:40:43.282Z] 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. [2026-02-18T21:40:43.282Z] The best model improves the baseline by 14.52%. [2026-02-18T21:40:43.282Z] Top recommended movies for user id 72: [2026-02-18T21:40:43.282Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:40:43.282Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:40:43.282Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:40:43.282Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:40:43.282Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:40:43.282Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (6616.017 ms) ====== [2026-02-18T21:40:43.282Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-18T21:40:43.282Z] GC before operation: completed in 40.012 ms, heap usage 130.027 MB -> 93.460 MB. [2026-02-18T21:40:44.583Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:40:45.428Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:40:46.237Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:40:47.695Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:40:48.045Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:40:48.420Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:40:49.583Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:40:50.015Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:40:50.015Z] 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. [2026-02-18T21:40:50.015Z] The best model improves the baseline by 14.52%. [2026-02-18T21:40:50.015Z] Top recommended movies for user id 72: [2026-02-18T21:40:50.015Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:40:50.015Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:40:50.015Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:40:50.015Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:40:50.015Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:40:50.015Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (6583.102 ms) ====== [2026-02-18T21:40:50.015Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-18T21:40:50.015Z] GC before operation: completed in 45.950 ms, heap usage 681.549 MB -> 99.895 MB. [2026-02-18T21:40:51.300Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:40:52.130Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:40:53.518Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:40:54.398Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:40:55.358Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:40:55.749Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:40:56.546Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:40:57.340Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:40:57.706Z] 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. [2026-02-18T21:40:57.706Z] The best model improves the baseline by 14.52%. [2026-02-18T21:40:57.706Z] Top recommended movies for user id 72: [2026-02-18T21:40:57.706Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:40:57.706Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:40:57.706Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:40:57.706Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:40:57.706Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:40:57.706Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (7601.253 ms) ====== [2026-02-18T21:40:57.706Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-18T21:40:57.706Z] GC before operation: completed in 74.328 ms, heap usage 182.380 MB -> 92.219 MB. [2026-02-18T21:40:59.557Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:41:00.358Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:41:01.678Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:41:03.580Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:41:03.972Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:41:04.827Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:41:05.708Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:41:06.714Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:41:06.714Z] 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. [2026-02-18T21:41:06.714Z] The best model improves the baseline by 14.52%. [2026-02-18T21:41:06.714Z] Top recommended movies for user id 72: [2026-02-18T21:41:06.714Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:41:06.714Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:41:06.714Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:41:06.714Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:41:06.714Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:41:06.714Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (9016.723 ms) ====== [2026-02-18T21:41:06.714Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-18T21:41:06.714Z] GC before operation: completed in 52.539 ms, heap usage 204.366 MB -> 90.277 MB. [2026-02-18T21:41:08.572Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:41:09.908Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:41:11.323Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:41:12.655Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:41:13.055Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:41:13.882Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:41:15.172Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:41:15.953Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:41:15.953Z] 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. [2026-02-18T21:41:15.954Z] The best model improves the baseline by 14.52%. [2026-02-18T21:41:16.338Z] Top recommended movies for user id 72: [2026-02-18T21:41:16.338Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:41:16.338Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:41:16.338Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:41:16.338Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:41:16.338Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:41:16.338Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (9334.400 ms) ====== [2026-02-18T21:41:16.338Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-18T21:41:16.338Z] GC before operation: completed in 56.535 ms, heap usage 530.310 MB -> 93.872 MB. [2026-02-18T21:41:17.650Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:41:19.547Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:41:20.817Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:41:22.653Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:41:23.491Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:41:24.751Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:41:25.574Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:41:26.856Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:41:26.856Z] 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. [2026-02-18T21:41:26.856Z] The best model improves the baseline by 14.52%. [2026-02-18T21:41:26.856Z] Top recommended movies for user id 72: [2026-02-18T21:41:26.856Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:41:26.856Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:41:26.856Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:41:26.856Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:41:26.856Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:41:26.856Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (10744.445 ms) ====== [2026-02-18T21:41:26.856Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-18T21:41:26.856Z] GC before operation: completed in 67.154 ms, heap usage 295.008 MB -> 90.372 MB. [2026-02-18T21:41:28.801Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:41:30.092Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:41:31.997Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:41:33.269Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:41:33.647Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:41:34.585Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:41:35.614Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:41:36.396Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:41:36.396Z] 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. [2026-02-18T21:41:36.396Z] The best model improves the baseline by 14.52%. [2026-02-18T21:41:36.766Z] Top recommended movies for user id 72: [2026-02-18T21:41:36.766Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:41:36.766Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:41:36.766Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:41:36.766Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:41:36.766Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:41:36.766Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (9588.904 ms) ====== [2026-02-18T21:41:36.766Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-18T21:41:36.766Z] GC before operation: completed in 55.556 ms, heap usage 426.943 MB -> 90.479 MB. [2026-02-18T21:41:38.032Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:41:39.918Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:41:41.165Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:41:42.464Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:41:43.719Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:41:44.553Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:41:45.337Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:41:46.126Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:41:46.506Z] 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. [2026-02-18T21:41:46.506Z] The best model improves the baseline by 14.52%. [2026-02-18T21:41:46.506Z] Top recommended movies for user id 72: [2026-02-18T21:41:46.506Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:41:46.507Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:41:46.507Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:41:46.507Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:41:46.507Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:41:46.507Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (9836.916 ms) ====== [2026-02-18T21:41:46.507Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-18T21:41:46.507Z] GC before operation: completed in 64.576 ms, heap usage 145.415 MB -> 95.703 MB. [2026-02-18T21:41:47.826Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:41:49.215Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:41:50.506Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:41:52.146Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:41:52.963Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:41:53.761Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:41:54.553Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:41:55.421Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:41:55.421Z] 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. [2026-02-18T21:41:55.421Z] The best model improves the baseline by 14.52%. [2026-02-18T21:41:55.860Z] Top recommended movies for user id 72: [2026-02-18T21:41:55.860Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T21:41:55.860Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T21:41:55.860Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T21:41:55.860Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T21:41:55.860Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T21:41:55.860Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (9002.297 ms) ====== [2026-02-18T21:41:55.860Z] ----------------------------------- [2026-02-18T21:41:55.860Z] renaissance-movie-lens_0_PASSED [2026-02-18T21:41:55.860Z] ----------------------------------- [2026-02-18T21:41:56.256Z] [2026-02-18T21:41:56.256Z] TEST TEARDOWN: [2026-02-18T21:41:56.256Z] Nothing to be done for teardown. [2026-02-18T21:41:56.256Z] renaissance-movie-lens_0 Finish Time: Wed Feb 18 16:41:55 2026 Epoch Time (ms): 1771450915838