[2026-02-11T13:51:30.090Z] Running test renaissance-movie-lens_0 ... [2026-02-11T13:51:30.446Z] =============================================== [2026-02-11T13:51:30.446Z] renaissance-movie-lens_0 Start Time: Wed Feb 11 13:51:30 2026 Epoch Time (ms): 1770817890206 [2026-02-11T13:51:30.446Z] variation: NoOptions [2026-02-11T13:51:30.446Z] JVM_OPTIONS: [2026-02-11T13:51:30.446Z] { \ [2026-02-11T13:51:30.446Z] echo ""; echo "TEST SETUP:"; \ [2026-02-11T13:51:30.446Z] echo "Nothing to be done for setup."; \ [2026-02-11T13:51:30.446Z] mkdir -p "C:/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17708160811742\\renaissance-movie-lens_0"; \ [2026-02-11T13:51:30.446Z] cd "C:/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17708160811742\\renaissance-movie-lens_0"; \ [2026-02-11T13:51:30.446Z] echo ""; echo "TESTING:"; \ [2026-02-11T13:51:30.446Z] "c:/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/jdkbinary/j2sdk-image\\bin\\java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "C:/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17708160811742\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2026-02-11T13:51:30.446Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17708160811742\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-11T13:51:30.446Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-11T13:51:30.446Z] echo "Nothing to be done for teardown."; \ [2026-02-11T13:51:30.446Z] } 2>&1 | tee -a "C:/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17708160811742\\TestTargetResult"; [2026-02-11T13:51:30.805Z] [2026-02-11T13:51:30.805Z] TEST SETUP: [2026-02-11T13:51:30.805Z] Nothing to be done for setup. [2026-02-11T13:51:30.805Z] [2026-02-11T13:51:30.805Z] TESTING: [2026-02-11T13:51:46.734Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-11T13:51:55.745Z] 13:51:54.787 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-11T13:51:58.064Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-11T13:51:58.833Z] Training: 60056, validation: 20285, test: 19854 [2026-02-11T13:51:58.833Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-11T13:51:59.198Z] GC before operation: completed in 175.382 ms, heap usage 375.539 MB -> 74.881 MB. [2026-02-11T13:52:15.200Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T13:52:24.294Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T13:52:35.167Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T13:52:44.150Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T13:52:50.105Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T13:52:56.175Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T13:53:02.110Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T13:53:06.943Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T13:53:07.291Z] 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. [2026-02-11T13:53:07.291Z] The best model improves the baseline by 14.52%. [2026-02-11T13:53:07.769Z] Top recommended movies for user id 72: [2026-02-11T13:53:07.769Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T13:53:07.769Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T13:53:07.769Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T13:53:07.769Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T13:53:07.769Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T13:53:07.769Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (68659.175 ms) ====== [2026-02-11T13:53:07.769Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-11T13:53:08.145Z] GC before operation: completed in 160.366 ms, heap usage 180.425 MB -> 89.423 MB. [2026-02-11T13:53:17.130Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T13:53:26.104Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T13:53:36.960Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T13:53:45.942Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T13:53:49.788Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T13:53:54.609Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T13:54:00.588Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T13:54:06.748Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T13:54:06.748Z] 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. [2026-02-11T13:54:06.748Z] The best model improves the baseline by 14.52%. [2026-02-11T13:54:07.105Z] Top recommended movies for user id 72: [2026-02-11T13:54:07.105Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T13:54:07.105Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T13:54:07.105Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T13:54:07.105Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T13:54:07.105Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T13:54:07.105Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (58966.161 ms) ====== [2026-02-11T13:54:07.105Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-11T13:54:07.105Z] GC before operation: completed in 163.883 ms, heap usage 176.655 MB -> 87.922 MB. [2026-02-11T13:54:16.058Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T13:54:25.095Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T13:54:34.085Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T13:54:43.092Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T13:54:47.892Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T13:54:52.733Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T13:54:58.694Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T13:55:03.606Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T13:55:03.956Z] 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. [2026-02-11T13:55:03.956Z] The best model improves the baseline by 14.52%. [2026-02-11T13:55:04.315Z] Top recommended movies for user id 72: [2026-02-11T13:55:04.315Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T13:55:04.315Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T13:55:04.315Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T13:55:04.315Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T13:55:04.315Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T13:55:04.315Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (57244.564 ms) ====== [2026-02-11T13:55:04.315Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-11T13:55:04.315Z] GC before operation: completed in 167.435 ms, heap usage 115.138 MB -> 88.446 MB. [2026-02-11T13:55:13.305Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T13:55:22.271Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T13:55:31.291Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T13:55:40.279Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T13:55:45.135Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T13:55:49.946Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T13:55:56.027Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T13:56:00.841Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T13:56:01.199Z] 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. [2026-02-11T13:56:01.673Z] The best model improves the baseline by 14.52%. [2026-02-11T13:56:02.030Z] Top recommended movies for user id 72: [2026-02-11T13:56:02.030Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T13:56:02.030Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T13:56:02.030Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T13:56:02.030Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T13:56:02.030Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T13:56:02.030Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (57346.889 ms) ====== [2026-02-11T13:56:02.030Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-11T13:56:02.030Z] GC before operation: completed in 151.825 ms, heap usage 211.080 MB -> 88.840 MB. [2026-02-11T13:56:10.967Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T13:56:19.921Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T13:56:30.869Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T13:56:38.241Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T13:56:44.224Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T13:56:49.047Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T13:56:55.025Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T13:56:58.846Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T13:56:59.645Z] 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. [2026-02-11T13:56:59.645Z] The best model improves the baseline by 14.52%. [2026-02-11T13:57:00.360Z] Top recommended movies for user id 72: [2026-02-11T13:57:00.360Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T13:57:00.360Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T13:57:00.361Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T13:57:00.361Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T13:57:00.361Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T13:57:00.361Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (58331.093 ms) ====== [2026-02-11T13:57:00.361Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-11T13:57:00.361Z] GC before operation: completed in 159.355 ms, heap usage 214.193 MB -> 88.798 MB. [2026-02-11T13:57:09.407Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T13:57:18.366Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T13:57:27.326Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T13:57:34.663Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T13:57:40.663Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T13:57:45.520Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T13:57:51.534Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T13:57:56.355Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T13:57:56.355Z] 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. [2026-02-11T13:57:56.355Z] The best model improves the baseline by 14.52%. [2026-02-11T13:57:56.728Z] Top recommended movies for user id 72: [2026-02-11T13:57:56.728Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T13:57:56.728Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T13:57:56.728Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T13:57:56.728Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T13:57:56.728Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T13:57:56.728Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (56350.724 ms) ====== [2026-02-11T13:57:56.729Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-11T13:57:56.729Z] GC before operation: completed in 163.481 ms, heap usage 211.786 MB -> 89.124 MB. [2026-02-11T13:58:05.709Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T13:58:14.738Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T13:58:23.751Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T13:58:32.735Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T13:58:36.582Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T13:58:41.463Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T13:58:47.445Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T13:58:52.246Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T13:58:52.604Z] 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. [2026-02-11T13:58:52.960Z] The best model improves the baseline by 14.52%. [2026-02-11T13:58:53.373Z] Top recommended movies for user id 72: [2026-02-11T13:58:53.373Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T13:58:53.373Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T13:58:53.373Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T13:58:53.373Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T13:58:53.373Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T13:58:53.373Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (56257.225 ms) ====== [2026-02-11T13:58:53.373Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-11T13:58:53.373Z] GC before operation: completed in 163.234 ms, heap usage 120.246 MB -> 88.959 MB. [2026-02-11T13:59:02.300Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T13:59:11.303Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T13:59:20.353Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T13:59:29.308Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T13:59:33.184Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T13:59:38.004Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T13:59:44.006Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T13:59:50.010Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T13:59:50.010Z] 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. [2026-02-11T13:59:50.010Z] The best model improves the baseline by 14.52%. [2026-02-11T13:59:50.010Z] Top recommended movies for user id 72: [2026-02-11T13:59:50.010Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T13:59:50.010Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T13:59:50.010Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T13:59:50.010Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T13:59:50.010Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T13:59:50.010Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (56706.423 ms) ====== [2026-02-11T13:59:50.010Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-11T13:59:50.401Z] GC before operation: completed in 152.186 ms, heap usage 231.108 MB -> 89.289 MB. [2026-02-11T13:59:59.450Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T14:00:09.422Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T14:00:16.799Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T14:00:25.788Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T14:00:30.602Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T14:00:35.433Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T14:00:41.421Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T14:00:46.269Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T14:00:46.269Z] 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. [2026-02-11T14:00:46.269Z] The best model improves the baseline by 14.52%. [2026-02-11T14:00:46.622Z] Top recommended movies for user id 72: [2026-02-11T14:00:46.622Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T14:00:46.622Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T14:00:46.622Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T14:00:46.622Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T14:00:46.622Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T14:00:46.622Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (56315.391 ms) ====== [2026-02-11T14:00:46.622Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-11T14:00:46.622Z] GC before operation: completed in 146.232 ms, heap usage 195.245 MB -> 89.132 MB. [2026-02-11T14:00:55.847Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T14:01:03.200Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T14:01:14.121Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T14:01:21.480Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T14:01:26.331Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T14:01:31.202Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T14:01:37.183Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T14:01:42.142Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T14:01:42.142Z] 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. [2026-02-11T14:01:42.142Z] The best model improves the baseline by 14.52%. [2026-02-11T14:01:42.497Z] Top recommended movies for user id 72: [2026-02-11T14:01:42.497Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T14:01:42.497Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T14:01:42.497Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T14:01:42.497Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T14:01:42.497Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T14:01:42.497Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (55813.706 ms) ====== [2026-02-11T14:01:42.497Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-11T14:01:42.497Z] GC before operation: completed in 152.778 ms, heap usage 119.125 MB -> 89.217 MB. [2026-02-11T14:01:51.524Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T14:02:00.484Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T14:02:09.454Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T14:02:18.466Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T14:02:23.285Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T14:02:28.421Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T14:02:34.452Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T14:02:39.242Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T14:02:39.242Z] 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. [2026-02-11T14:02:39.675Z] The best model improves the baseline by 14.52%. [2026-02-11T14:02:39.676Z] Top recommended movies for user id 72: [2026-02-11T14:02:39.676Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T14:02:39.676Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T14:02:39.676Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T14:02:39.676Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T14:02:39.676Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T14:02:39.676Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (57135.510 ms) ====== [2026-02-11T14:02:39.676Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-11T14:02:40.025Z] GC before operation: completed in 144.155 ms, heap usage 193.765 MB -> 89.065 MB. [2026-02-11T14:02:48.993Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T14:02:57.982Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T14:03:06.942Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T14:03:15.874Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T14:03:20.689Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T14:03:25.533Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T14:03:30.364Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T14:03:35.217Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T14:03:35.969Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-11T14:03:35.969Z] The best model improves the baseline by 14.52%. [2026-02-11T14:03:36.336Z] Top recommended movies for user id 72: [2026-02-11T14:03:36.336Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T14:03:36.337Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T14:03:36.337Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T14:03:36.337Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T14:03:36.337Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T14:03:36.337Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (56486.181 ms) ====== [2026-02-11T14:03:36.337Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-11T14:03:36.337Z] GC before operation: completed in 143.600 ms, heap usage 212.442 MB -> 89.280 MB. [2026-02-11T14:03:45.300Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T14:03:54.294Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T14:04:03.301Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T14:04:12.243Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T14:04:16.139Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T14:04:20.919Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T14:04:26.868Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T14:04:31.684Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T14:04:32.039Z] 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. [2026-02-11T14:04:32.039Z] The best model improves the baseline by 14.52%. [2026-02-11T14:04:32.453Z] Top recommended movies for user id 72: [2026-02-11T14:04:32.453Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T14:04:32.453Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T14:04:32.453Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T14:04:32.453Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T14:04:32.453Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T14:04:32.453Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (55993.707 ms) ====== [2026-02-11T14:04:32.453Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-11T14:04:32.833Z] GC before operation: completed in 150.047 ms, heap usage 179.516 MB -> 89.366 MB. [2026-02-11T14:04:41.899Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T14:04:49.258Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T14:05:00.174Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T14:05:07.528Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T14:05:12.343Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T14:05:17.188Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T14:05:23.146Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T14:05:27.965Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T14:05:28.317Z] 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. [2026-02-11T14:05:28.317Z] The best model improves the baseline by 14.52%. [2026-02-11T14:05:28.670Z] Top recommended movies for user id 72: [2026-02-11T14:05:28.670Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T14:05:28.670Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T14:05:28.670Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T14:05:28.670Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T14:05:28.670Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T14:05:28.670Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (55943.224 ms) ====== [2026-02-11T14:05:28.670Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-11T14:05:28.670Z] GC before operation: completed in 144.459 ms, heap usage 225.819 MB -> 89.221 MB. [2026-02-11T14:05:37.644Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T14:05:46.595Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T14:05:55.541Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T14:06:04.515Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T14:06:09.340Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T14:06:14.151Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T14:06:20.140Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T14:06:24.995Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T14:06:25.342Z] 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. [2026-02-11T14:06:25.342Z] The best model improves the baseline by 14.52%. [2026-02-11T14:06:25.770Z] Top recommended movies for user id 72: [2026-02-11T14:06:25.770Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T14:06:25.770Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T14:06:25.770Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T14:06:25.770Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T14:06:25.770Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T14:06:25.770Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (56824.571 ms) ====== [2026-02-11T14:06:25.770Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-11T14:06:25.770Z] GC before operation: completed in 144.042 ms, heap usage 195.949 MB -> 89.428 MB. [2026-02-11T14:06:34.716Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T14:06:43.799Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T14:06:52.762Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T14:07:00.078Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T14:07:04.890Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T14:07:09.705Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T14:07:15.682Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T14:07:20.574Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T14:07:20.574Z] 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. [2026-02-11T14:07:20.574Z] The best model improves the baseline by 14.52%. [2026-02-11T14:07:20.973Z] Top recommended movies for user id 72: [2026-02-11T14:07:20.973Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T14:07:20.973Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T14:07:20.973Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T14:07:20.973Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T14:07:20.973Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T14:07:20.973Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (55286.068 ms) ====== [2026-02-11T14:07:20.973Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-11T14:07:21.386Z] GC before operation: completed in 153.786 ms, heap usage 254.293 MB -> 89.315 MB. [2026-02-11T14:07:30.344Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T14:07:37.702Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T14:07:48.590Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T14:07:55.906Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T14:08:00.716Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T14:08:05.528Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T14:08:11.473Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T14:08:16.292Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T14:08:16.292Z] 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. [2026-02-11T14:08:16.292Z] The best model improves the baseline by 14.52%. [2026-02-11T14:08:16.651Z] Top recommended movies for user id 72: [2026-02-11T14:08:16.651Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T14:08:16.651Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T14:08:16.651Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T14:08:16.651Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T14:08:16.651Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T14:08:16.651Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (55422.545 ms) ====== [2026-02-11T14:08:16.651Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-11T14:08:16.651Z] GC before operation: completed in 145.235 ms, heap usage 178.722 MB -> 89.353 MB. [2026-02-11T14:08:25.623Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T14:08:34.596Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T14:08:43.660Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T14:08:52.607Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T14:08:56.455Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T14:09:01.278Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T14:09:07.214Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T14:09:12.048Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T14:09:12.888Z] 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. [2026-02-11T14:09:12.888Z] The best model improves the baseline by 14.52%. [2026-02-11T14:09:13.251Z] Top recommended movies for user id 72: [2026-02-11T14:09:13.251Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T14:09:13.251Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T14:09:13.251Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T14:09:13.251Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T14:09:13.251Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T14:09:13.251Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (56496.861 ms) ====== [2026-02-11T14:09:13.251Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-11T14:09:13.251Z] GC before operation: completed in 141.832 ms, heap usage 162.294 MB -> 89.183 MB. [2026-02-11T14:09:22.244Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T14:09:31.270Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T14:09:40.243Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T14:09:47.634Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T14:09:52.437Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T14:09:58.384Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T14:10:03.190Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T14:10:08.041Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T14:10:08.765Z] 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. [2026-02-11T14:10:08.765Z] The best model improves the baseline by 14.52%. [2026-02-11T14:10:09.119Z] Top recommended movies for user id 72: [2026-02-11T14:10:09.119Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T14:10:09.119Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T14:10:09.119Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T14:10:09.119Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T14:10:09.119Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T14:10:09.119Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (55765.003 ms) ====== [2026-02-11T14:10:09.119Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-11T14:10:09.119Z] GC before operation: completed in 150.598 ms, heap usage 163.663 MB -> 89.307 MB. [2026-02-11T14:10:18.086Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T14:10:27.174Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T14:10:38.060Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T14:10:45.415Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T14:10:50.238Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T14:10:55.039Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T14:11:01.017Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T14:11:05.862Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T14:11:05.862Z] 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. [2026-02-11T14:11:05.862Z] The best model improves the baseline by 14.52%. [2026-02-11T14:11:06.215Z] Top recommended movies for user id 72: [2026-02-11T14:11:06.215Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T14:11:06.215Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T14:11:06.215Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T14:11:06.215Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T14:11:06.215Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T14:11:06.215Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (56991.180 ms) ====== [2026-02-11T14:11:06.954Z] ----------------------------------- [2026-02-11T14:11:06.954Z] renaissance-movie-lens_0_PASSED [2026-02-11T14:11:06.954Z] ----------------------------------- [2026-02-11T14:11:07.285Z] [2026-02-11T14:11:07.285Z] TEST TEARDOWN: [2026-02-11T14:11:07.285Z] Nothing to be done for teardown. [2026-02-11T14:11:07.639Z] renaissance-movie-lens_0 Finish Time: Wed Feb 11 14:11:07 2026 Epoch Time (ms): 1770819067303