[2026-01-10T10:50:40.656Z] Running test renaissance-movie-lens_0 ... [2026-01-10T10:50:40.656Z] =============================================== [2026-01-10T10:50:40.656Z] renaissance-movie-lens_0 Start Time: Sat Jan 10 10:50:40 2026 Epoch Time (ms): 1768042240418 [2026-01-10T10:50:40.656Z] variation: NoOptions [2026-01-10T10:50:40.656Z] JVM_OPTIONS: [2026-01-10T10:50:40.656Z] { \ [2026-01-10T10:50:40.656Z] echo ""; echo "TEST SETUP:"; \ [2026-01-10T10:50:40.656Z] echo "Nothing to be done for setup."; \ [2026-01-10T10:50:40.656Z] mkdir -p "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17680397902078\\renaissance-movie-lens_0"; \ [2026-01-10T10:50:40.656Z] cd "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17680397902078\\renaissance-movie-lens_0"; \ [2026-01-10T10:50:40.656Z] echo ""; echo "TESTING:"; \ [2026-01-10T10:50:40.657Z] "c:/jenkins/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:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17680397902078\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2026-01-10T10:50:40.657Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17680397902078\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-10T10:50:40.657Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-10T10:50:40.657Z] echo "Nothing to be done for teardown."; \ [2026-01-10T10:50:40.657Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17680397902078\\TestTargetResult"; [2026-01-10T10:50:41.024Z] [2026-01-10T10:50:41.024Z] TEST SETUP: [2026-01-10T10:50:41.024Z] Nothing to be done for setup. [2026-01-10T10:50:41.024Z] [2026-01-10T10:50:41.024Z] TESTING: [2026-01-10T10:50:57.032Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-10T10:51:04.737Z] 10:51:03.883 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-10T10:51:07.510Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-10T10:51:07.510Z] Training: 60056, validation: 20285, test: 19854 [2026-01-10T10:51:07.510Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-10T10:51:07.942Z] GC before operation: completed in 179.984 ms, heap usage 484.934 MB -> 75.067 MB. [2026-01-10T10:51:24.425Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T10:51:33.562Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T10:51:44.645Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T10:51:55.629Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T10:52:00.518Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T10:52:06.571Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T10:52:11.580Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T10:52:16.471Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T10:52:17.288Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T10:52:17.288Z] The best model improves the baseline by 14.52%. [2026-01-10T10:52:17.692Z] Top recommended movies for user id 72: [2026-01-10T10:52:17.692Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T10:52:17.692Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T10:52:17.692Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T10:52:17.692Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T10:52:17.692Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T10:52:17.692Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (69950.066 ms) ====== [2026-01-10T10:52:17.692Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-10T10:52:17.692Z] GC before operation: completed in 159.121 ms, heap usage 122.118 MB -> 85.759 MB. [2026-01-10T10:52:28.807Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T10:52:37.909Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T10:52:46.966Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T10:52:56.100Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T10:53:00.246Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T10:53:05.130Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T10:53:11.322Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T10:53:16.220Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T10:53:17.184Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T10:53:17.184Z] The best model improves the baseline by 14.52%. [2026-01-10T10:53:17.797Z] Top recommended movies for user id 72: [2026-01-10T10:53:17.797Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T10:53:17.797Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T10:53:17.797Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T10:53:17.797Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T10:53:17.797Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T10:53:17.797Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (59394.503 ms) ====== [2026-01-10T10:53:17.797Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-10T10:53:17.797Z] GC before operation: completed in 158.099 ms, heap usage 118.362 MB -> 87.845 MB. [2026-01-10T10:53:26.845Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T10:53:35.925Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T10:53:44.993Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T10:53:54.048Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T10:53:58.943Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T10:54:03.929Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T10:54:09.975Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T10:54:14.897Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T10:54:14.897Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T10:54:14.898Z] The best model improves the baseline by 14.52%. [2026-01-10T10:54:15.306Z] Top recommended movies for user id 72: [2026-01-10T10:54:15.306Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T10:54:15.306Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T10:54:15.306Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T10:54:15.306Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T10:54:15.306Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T10:54:15.306Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (57899.361 ms) ====== [2026-01-10T10:54:15.306Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-10T10:54:15.306Z] GC before operation: completed in 159.091 ms, heap usage 210.936 MB -> 88.590 MB. [2026-01-10T10:54:24.408Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T10:54:33.486Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T10:54:44.432Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T10:54:51.864Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T10:54:56.786Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T10:55:02.843Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T10:55:07.770Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T10:55:12.684Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T10:55:13.465Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T10:55:13.465Z] The best model improves the baseline by 14.52%. [2026-01-10T10:55:13.900Z] Top recommended movies for user id 72: [2026-01-10T10:55:13.900Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T10:55:13.900Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T10:55:13.900Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T10:55:13.900Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T10:55:13.900Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T10:55:13.900Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (58196.238 ms) ====== [2026-01-10T10:55:13.900Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-10T10:55:13.900Z] GC before operation: completed in 158.034 ms, heap usage 212.041 MB -> 88.876 MB. [2026-01-10T10:55:23.001Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T10:55:32.064Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T10:55:41.101Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T10:55:50.188Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T10:55:55.078Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T10:55:59.987Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T10:56:06.126Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T10:56:10.986Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T10:56:11.362Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T10:56:11.362Z] The best model improves the baseline by 14.52%. [2026-01-10T10:56:11.772Z] Top recommended movies for user id 72: [2026-01-10T10:56:11.772Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T10:56:11.772Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T10:56:11.772Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T10:56:11.772Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T10:56:11.772Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T10:56:11.772Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (57955.125 ms) ====== [2026-01-10T10:56:11.772Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-10T10:56:11.772Z] GC before operation: completed in 151.304 ms, heap usage 178.094 MB -> 88.790 MB. [2026-01-10T10:56:20.845Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T10:56:29.899Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T10:56:38.950Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T10:56:47.984Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T10:56:52.880Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T10:56:57.777Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T10:57:02.666Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T10:57:07.556Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T10:57:07.952Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T10:57:07.952Z] The best model improves the baseline by 14.52%. [2026-01-10T10:57:08.313Z] Top recommended movies for user id 72: [2026-01-10T10:57:08.313Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T10:57:08.313Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T10:57:08.313Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T10:57:08.313Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T10:57:08.313Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T10:57:08.313Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (56252.615 ms) ====== [2026-01-10T10:57:08.313Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-10T10:57:08.313Z] GC before operation: completed in 166.364 ms, heap usage 175.097 MB -> 89.109 MB. [2026-01-10T10:57:17.453Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T10:57:26.547Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T10:57:35.618Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T10:57:44.671Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T10:57:48.580Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T10:57:53.493Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T10:57:58.414Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T10:58:03.304Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T10:58:04.058Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T10:58:04.059Z] The best model improves the baseline by 14.52%. [2026-01-10T10:58:04.419Z] Top recommended movies for user id 72: [2026-01-10T10:58:04.419Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T10:58:04.419Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T10:58:04.419Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T10:58:04.419Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T10:58:04.419Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T10:58:04.419Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (55975.712 ms) ====== [2026-01-10T10:58:04.419Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-10T10:58:04.419Z] GC before operation: completed in 153.555 ms, heap usage 240.574 MB -> 89.081 MB. [2026-01-10T10:58:13.465Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T10:58:22.565Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T10:58:31.656Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T10:58:40.741Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T10:58:45.595Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T10:58:50.479Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T10:58:55.360Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T10:59:00.269Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T10:59:01.170Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T10:59:01.170Z] The best model improves the baseline by 14.52%. [2026-01-10T10:59:01.170Z] Top recommended movies for user id 72: [2026-01-10T10:59:01.170Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T10:59:01.170Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T10:59:01.170Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T10:59:01.170Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T10:59:01.170Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T10:59:01.170Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (56711.620 ms) ====== [2026-01-10T10:59:01.170Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-10T10:59:01.590Z] GC before operation: completed in 170.954 ms, heap usage 238.653 MB -> 89.289 MB. [2026-01-10T10:59:10.615Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T10:59:18.054Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T10:59:29.062Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T10:59:36.494Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T10:59:41.496Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T10:59:46.423Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T10:59:51.466Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T10:59:56.355Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T10:59:56.754Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T10:59:56.754Z] The best model improves the baseline by 14.52%. [2026-01-10T10:59:57.178Z] Top recommended movies for user id 72: [2026-01-10T10:59:57.178Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T10:59:57.178Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T10:59:57.178Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T10:59:57.178Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T10:59:57.178Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T10:59:57.178Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (55597.174 ms) ====== [2026-01-10T10:59:57.178Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-10T10:59:57.178Z] GC before operation: completed in 164.602 ms, heap usage 197.694 MB -> 89.131 MB. [2026-01-10T11:00:06.308Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T11:00:15.382Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T11:00:24.478Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T11:00:33.509Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T11:00:37.460Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T11:00:42.378Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T11:00:48.416Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T11:00:52.299Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T11:00:53.153Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T11:00:53.153Z] The best model improves the baseline by 14.52%. [2026-01-10T11:00:53.595Z] Top recommended movies for user id 72: [2026-01-10T11:00:53.595Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T11:00:53.595Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T11:00:53.595Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T11:00:53.595Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T11:00:53.595Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T11:00:53.595Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (56165.284 ms) ====== [2026-01-10T11:00:53.595Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-10T11:00:53.595Z] GC before operation: completed in 161.540 ms, heap usage 112.568 MB -> 89.233 MB. [2026-01-10T11:01:02.634Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T11:01:11.691Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T11:01:20.731Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T11:01:29.800Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T11:01:33.738Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T11:01:38.599Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T11:01:44.686Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T11:01:49.622Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T11:01:49.622Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T11:01:49.622Z] The best model improves the baseline by 14.52%. [2026-01-10T11:01:50.056Z] Top recommended movies for user id 72: [2026-01-10T11:01:50.056Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T11:01:50.056Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T11:01:50.056Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T11:01:50.056Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T11:01:50.056Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T11:01:50.056Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (56367.531 ms) ====== [2026-01-10T11:01:50.056Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-10T11:01:50.056Z] GC before operation: completed in 152.495 ms, heap usage 176.951 MB -> 89.038 MB. [2026-01-10T11:01:59.075Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T11:02:08.134Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T11:02:17.212Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T11:02:26.277Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T11:02:30.189Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T11:02:35.082Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T11:02:41.123Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T11:02:45.071Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T11:02:46.304Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T11:02:46.304Z] The best model improves the baseline by 14.52%. [2026-01-10T11:02:46.707Z] Top recommended movies for user id 72: [2026-01-10T11:02:46.707Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T11:02:46.707Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T11:02:46.707Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T11:02:46.707Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T11:02:46.707Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T11:02:46.707Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (56524.140 ms) ====== [2026-01-10T11:02:46.707Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-10T11:02:46.708Z] GC before operation: completed in 152.177 ms, heap usage 164.687 MB -> 89.257 MB. [2026-01-10T11:02:55.739Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T11:03:04.755Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T11:03:13.776Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T11:03:22.806Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T11:03:27.740Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T11:03:32.640Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T11:03:38.669Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T11:03:42.569Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T11:03:42.934Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T11:03:43.417Z] The best model improves the baseline by 14.52%. [2026-01-10T11:03:43.417Z] Top recommended movies for user id 72: [2026-01-10T11:03:43.417Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T11:03:43.417Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T11:03:43.417Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T11:03:43.417Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T11:03:43.417Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T11:03:43.417Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (56813.091 ms) ====== [2026-01-10T11:03:43.417Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-10T11:03:43.818Z] GC before operation: completed in 154.740 ms, heap usage 198.078 MB -> 89.386 MB. [2026-01-10T11:03:52.856Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T11:04:01.956Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T11:04:11.028Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T11:04:18.467Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T11:04:23.393Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T11:04:28.308Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T11:04:34.381Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T11:04:38.283Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T11:04:39.063Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T11:04:39.063Z] The best model improves the baseline by 14.52%. [2026-01-10T11:04:39.444Z] Top recommended movies for user id 72: [2026-01-10T11:04:39.444Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T11:04:39.444Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T11:04:39.444Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T11:04:39.444Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T11:04:39.444Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T11:04:39.444Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (55706.376 ms) ====== [2026-01-10T11:04:39.444Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-10T11:04:39.444Z] GC before operation: completed in 158.100 ms, heap usage 192.201 MB -> 89.195 MB. [2026-01-10T11:04:48.570Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T11:04:57.689Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T11:05:06.789Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T11:05:14.263Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T11:05:20.328Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T11:05:24.259Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T11:05:30.348Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T11:05:35.231Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T11:05:35.763Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T11:05:35.763Z] The best model improves the baseline by 14.52%. [2026-01-10T11:05:36.130Z] Top recommended movies for user id 72: [2026-01-10T11:05:36.130Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T11:05:36.130Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T11:05:36.130Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T11:05:36.130Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T11:05:36.130Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T11:05:36.130Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (56335.006 ms) ====== [2026-01-10T11:05:36.130Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-10T11:05:36.130Z] GC before operation: completed in 155.262 ms, heap usage 196.625 MB -> 89.438 MB. [2026-01-10T11:05:45.217Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T11:05:54.308Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T11:06:03.373Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T11:06:12.488Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T11:06:16.394Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T11:06:21.337Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T11:06:27.399Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T11:06:32.290Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T11:06:32.792Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T11:06:32.792Z] The best model improves the baseline by 14.52%. [2026-01-10T11:06:32.792Z] Top recommended movies for user id 72: [2026-01-10T11:06:32.792Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T11:06:32.792Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T11:06:32.792Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T11:06:32.792Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T11:06:32.793Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T11:06:32.793Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (56868.997 ms) ====== [2026-01-10T11:06:32.793Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-10T11:06:33.216Z] GC before operation: completed in 148.722 ms, heap usage 120.191 MB -> 89.181 MB. [2026-01-10T11:06:42.293Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T11:06:51.368Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T11:07:00.430Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T11:07:09.508Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T11:07:13.450Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T11:07:18.349Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T11:07:24.436Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T11:07:29.307Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T11:07:29.307Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T11:07:29.307Z] The best model improves the baseline by 14.52%. [2026-01-10T11:07:29.687Z] Top recommended movies for user id 72: [2026-01-10T11:07:29.687Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T11:07:29.687Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T11:07:29.687Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T11:07:29.687Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T11:07:29.687Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T11:07:29.687Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (56653.716 ms) ====== [2026-01-10T11:07:29.687Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-10T11:07:29.687Z] GC before operation: completed in 152.934 ms, heap usage 203.008 MB -> 89.366 MB. [2026-01-10T11:07:38.765Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T11:07:47.841Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T11:07:56.880Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T11:08:05.974Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T11:08:09.919Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T11:08:14.904Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T11:08:20.988Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T11:08:25.895Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T11:08:25.895Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T11:08:25.895Z] The best model improves the baseline by 14.52%. [2026-01-10T11:08:26.258Z] Top recommended movies for user id 72: [2026-01-10T11:08:26.258Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T11:08:26.258Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T11:08:26.258Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T11:08:26.258Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T11:08:26.258Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T11:08:26.258Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (56312.030 ms) ====== [2026-01-10T11:08:26.258Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-10T11:08:26.258Z] GC before operation: completed in 152.566 ms, heap usage 179.546 MB -> 89.189 MB. [2026-01-10T11:08:35.307Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T11:08:44.379Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T11:08:53.446Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T11:09:02.497Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T11:09:06.394Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T11:09:11.363Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T11:09:17.419Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T11:09:22.390Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T11:09:22.390Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T11:09:22.390Z] The best model improves the baseline by 14.52%. [2026-01-10T11:09:22.839Z] Top recommended movies for user id 72: [2026-01-10T11:09:22.839Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T11:09:22.839Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T11:09:22.839Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T11:09:22.839Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T11:09:22.839Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T11:09:22.839Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (56595.711 ms) ====== [2026-01-10T11:09:22.839Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-10T11:09:23.252Z] GC before operation: completed in 156.360 ms, heap usage 174.917 MB -> 89.312 MB. [2026-01-10T11:09:32.359Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T11:09:39.800Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T11:09:50.790Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T11:09:58.240Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T11:10:03.156Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T11:10:08.020Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T11:10:12.921Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T11:10:17.809Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T11:10:18.569Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T11:10:18.569Z] The best model improves the baseline by 14.52%. [2026-01-10T11:10:18.943Z] Top recommended movies for user id 72: [2026-01-10T11:10:18.944Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T11:10:18.944Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T11:10:18.944Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T11:10:18.944Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T11:10:18.944Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T11:10:18.944Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (55806.155 ms) ====== [2026-01-10T11:10:19.313Z] ----------------------------------- [2026-01-10T11:10:19.313Z] renaissance-movie-lens_0_PASSED [2026-01-10T11:10:19.313Z] ----------------------------------- [2026-01-10T11:10:20.043Z] [2026-01-10T11:10:20.043Z] TEST TEARDOWN: [2026-01-10T11:10:20.043Z] Nothing to be done for teardown. [2026-01-10T11:10:20.043Z] renaissance-movie-lens_0 Finish Time: Sat Jan 10 11:10:19 2026 Epoch Time (ms): 1768043419796