[2026-01-21T11:43:07.035Z] Running test renaissance-movie-lens_0 ... [2026-01-21T11:43:07.035Z] =============================================== [2026-01-21T11:43:07.351Z] renaissance-movie-lens_0 Start Time: Wed Jan 21 11:43:07 2026 Epoch Time (ms): 1768995787088 [2026-01-21T11:43:07.351Z] variation: NoOptions [2026-01-21T11:43:07.704Z] JVM_OPTIONS: [2026-01-21T11:43:07.704Z] { \ [2026-01-21T11:43:07.704Z] echo ""; echo "TEST SETUP:"; \ [2026-01-21T11:43:07.704Z] echo "Nothing to be done for setup."; \ [2026-01-21T11:43:07.704Z] mkdir -p "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17689933831533\\renaissance-movie-lens_0"; \ [2026-01-21T11:43:07.704Z] cd "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17689933831533\\renaissance-movie-lens_0"; \ [2026-01-21T11:43:07.704Z] echo ""; echo "TESTING:"; \ [2026-01-21T11:43:07.705Z] "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_17689933831533\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2026-01-21T11:43:07.705Z] 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_17689933831533\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-21T11:43:07.705Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-21T11:43:07.705Z] echo "Nothing to be done for teardown."; \ [2026-01-21T11:43:07.705Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17689933831533\\TestTargetResult"; [2026-01-21T11:43:07.705Z] [2026-01-21T11:43:07.705Z] TEST SETUP: [2026-01-21T11:43:07.705Z] Nothing to be done for setup. [2026-01-21T11:43:07.705Z] [2026-01-21T11:43:07.705Z] TESTING: [2026-01-21T11:43:30.680Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-01-21T11:43:45.965Z] 11:43:43.944 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-01-21T11:43:48.960Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-21T11:43:50.083Z] Training: 60056, validation: 20285, test: 19854 [2026-01-21T11:43:50.083Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-21T11:43:50.083Z] GC before operation: completed in 273.304 ms, heap usage 319.141 MB -> 74.714 MB. [2026-01-21T11:44:14.618Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:44:23.083Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:44:36.959Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:44:48.529Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:44:55.211Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:45:02.450Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:45:09.132Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:45:14.390Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:45:14.748Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-21T11:45:15.924Z] The best model improves the baseline by 14.34%. [2026-01-21T11:45:15.924Z] Top recommended movies for user id 72: [2026-01-21T11:45:15.924Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:45:15.924Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:45:15.924Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:45:15.924Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:45:15.924Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:45:15.924Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (85940.648 ms) ====== [2026-01-21T11:45:15.924Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-21T11:45:16.454Z] GC before operation: completed in 265.346 ms, heap usage 181.823 MB -> 84.990 MB. [2026-01-21T11:45:27.940Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:45:37.647Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:45:49.027Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:45:58.631Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:46:04.190Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:46:10.484Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:46:16.590Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:46:22.184Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:46:22.618Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-21T11:46:23.176Z] The best model improves the baseline by 14.34%. [2026-01-21T11:46:24.003Z] Top recommended movies for user id 72: [2026-01-21T11:46:24.003Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:46:24.003Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:46:24.003Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:46:24.003Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:46:24.003Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:46:24.003Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (67161.088 ms) ====== [2026-01-21T11:46:24.003Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-21T11:46:24.003Z] GC before operation: completed in 284.224 ms, heap usage 145.672 MB -> 86.900 MB. [2026-01-21T11:46:33.312Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:46:43.017Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:46:53.176Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:47:04.544Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:47:10.300Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:47:16.664Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:47:22.426Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:47:30.921Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:47:30.921Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-21T11:47:30.921Z] The best model improves the baseline by 14.34%. [2026-01-21T11:47:31.424Z] Top recommended movies for user id 72: [2026-01-21T11:47:31.424Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:47:31.424Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:47:31.424Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:47:31.424Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:47:31.424Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:47:31.424Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (67553.932 ms) ====== [2026-01-21T11:47:31.424Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-21T11:47:31.424Z] GC before operation: completed in 267.034 ms, heap usage 175.283 MB -> 87.356 MB. [2026-01-21T11:47:42.651Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:47:50.640Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:48:00.131Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:48:09.977Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:48:15.232Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:48:20.224Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:48:26.687Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:48:32.018Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:48:32.487Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-21T11:48:32.487Z] The best model improves the baseline by 14.34%. [2026-01-21T11:48:32.937Z] Top recommended movies for user id 72: [2026-01-21T11:48:32.937Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:48:32.937Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:48:32.937Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:48:32.937Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:48:32.937Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:48:32.937Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (61478.950 ms) ====== [2026-01-21T11:48:32.937Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-21T11:48:33.334Z] GC before operation: completed in 276.582 ms, heap usage 186.966 MB -> 87.629 MB. [2026-01-21T11:48:44.811Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:48:54.154Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:49:03.265Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:49:14.156Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:49:19.227Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:49:24.462Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:49:30.884Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:49:36.127Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:49:36.486Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-21T11:49:36.486Z] The best model improves the baseline by 14.34%. [2026-01-21T11:49:37.225Z] Top recommended movies for user id 72: [2026-01-21T11:49:37.225Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:49:37.225Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:49:37.225Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:49:37.225Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:49:37.225Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:49:37.225Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (63943.579 ms) ====== [2026-01-21T11:49:37.225Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-21T11:49:38.205Z] GC before operation: completed in 291.896 ms, heap usage 169.377 MB -> 87.581 MB. [2026-01-21T11:49:47.790Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:49:56.894Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:50:05.869Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:50:15.207Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:50:20.259Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:50:25.217Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:50:29.972Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:50:35.938Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:50:35.938Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-21T11:50:36.540Z] The best model improves the baseline by 14.34%. [2026-01-21T11:50:36.540Z] Top recommended movies for user id 72: [2026-01-21T11:50:36.540Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:50:36.540Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:50:36.540Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:50:36.540Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:50:36.540Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:50:36.540Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (59080.411 ms) ====== [2026-01-21T11:50:36.540Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-21T11:50:37.043Z] GC before operation: completed in 305.187 ms, heap usage 307.279 MB -> 88.048 MB. [2026-01-21T11:50:46.656Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:50:55.962Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:51:08.184Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:51:17.233Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:51:22.156Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:51:29.672Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:51:35.775Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:51:40.654Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:51:41.064Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-21T11:51:41.064Z] The best model improves the baseline by 14.34%. [2026-01-21T11:51:41.671Z] Top recommended movies for user id 72: [2026-01-21T11:51:41.671Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:51:41.671Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:51:41.671Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:51:41.671Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:51:41.671Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:51:41.671Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (64837.193 ms) ====== [2026-01-21T11:51:41.671Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-21T11:51:42.018Z] GC before operation: completed in 273.083 ms, heap usage 145.672 MB -> 87.853 MB. [2026-01-21T11:51:52.973Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:52:02.358Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:52:11.765Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:52:20.882Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:52:26.825Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:52:31.798Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:52:37.972Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:52:44.313Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:52:44.680Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-21T11:52:44.680Z] The best model improves the baseline by 14.34%. [2026-01-21T11:52:45.092Z] Top recommended movies for user id 72: [2026-01-21T11:52:45.092Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:52:45.092Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:52:45.092Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:52:45.092Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:52:45.092Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:52:45.092Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (63158.957 ms) ====== [2026-01-21T11:52:45.092Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-21T11:52:45.507Z] GC before operation: completed in 245.300 ms, heap usage 220.341 MB -> 88.121 MB. [2026-01-21T11:52:54.765Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:53:03.833Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:53:12.672Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:53:21.478Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:53:25.845Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:53:31.795Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:53:36.601Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:53:43.054Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:53:43.054Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-21T11:53:43.054Z] The best model improves the baseline by 14.34%. [2026-01-21T11:53:43.638Z] Top recommended movies for user id 72: [2026-01-21T11:53:43.638Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:53:43.638Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:53:43.638Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:53:43.638Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:53:43.638Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:53:43.638Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (58327.666 ms) ====== [2026-01-21T11:53:43.638Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-21T11:53:44.822Z] GC before operation: completed in 251.884 ms, heap usage 169.624 MB -> 87.926 MB. [2026-01-21T11:53:54.008Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:54:03.242Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:54:12.970Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:54:22.671Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:54:27.829Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:54:34.234Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:54:39.449Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:54:45.504Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:54:45.504Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-21T11:54:45.504Z] The best model improves the baseline by 14.34%. [2026-01-21T11:54:45.907Z] Top recommended movies for user id 72: [2026-01-21T11:54:45.907Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:54:45.907Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:54:45.907Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:54:45.907Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:54:45.907Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:54:45.907Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (61977.770 ms) ====== [2026-01-21T11:54:45.907Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-21T11:54:46.369Z] GC before operation: completed in 230.393 ms, heap usage 177.977 MB -> 88.131 MB. [2026-01-21T11:54:55.819Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:55:05.614Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:55:16.670Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:55:26.111Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:55:31.315Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:55:37.671Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:55:43.115Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:55:49.301Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:55:49.302Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-21T11:55:49.302Z] The best model improves the baseline by 14.34%. [2026-01-21T11:55:50.464Z] Top recommended movies for user id 72: [2026-01-21T11:55:50.464Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:55:50.464Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:55:50.464Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:55:50.464Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:55:50.464Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:55:50.464Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (63455.365 ms) ====== [2026-01-21T11:55:50.464Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-21T11:55:50.464Z] GC before operation: completed in 274.348 ms, heap usage 185.291 MB -> 87.884 MB. [2026-01-21T11:56:00.071Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:56:09.640Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:56:18.640Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:56:28.413Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:56:33.713Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:56:40.299Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:56:45.792Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:56:51.707Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:56:52.068Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-21T11:56:52.068Z] The best model improves the baseline by 14.34%. [2026-01-21T11:56:52.618Z] Top recommended movies for user id 72: [2026-01-21T11:56:52.618Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:56:52.618Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:56:52.618Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:56:52.618Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:56:52.618Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:56:52.618Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (62768.965 ms) ====== [2026-01-21T11:56:52.618Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-21T11:56:52.977Z] GC before operation: completed in 251.236 ms, heap usage 183.469 MB -> 88.093 MB. [2026-01-21T11:57:02.668Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:57:11.995Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:57:20.902Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:57:30.393Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:57:36.516Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:57:43.001Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:57:49.438Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:57:54.731Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:57:55.205Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-21T11:57:55.205Z] The best model improves the baseline by 14.34%. [2026-01-21T11:57:55.586Z] Top recommended movies for user id 72: [2026-01-21T11:57:55.586Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:57:55.586Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:57:55.586Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:57:55.586Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:57:55.586Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:57:55.587Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (62641.590 ms) ====== [2026-01-21T11:57:55.587Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-21T11:57:55.587Z] GC before operation: completed in 262.093 ms, heap usage 206.783 MB -> 88.201 MB. [2026-01-21T11:58:07.869Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:58:15.492Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:58:25.312Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:58:35.130Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:58:40.849Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:58:46.991Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:58:52.035Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T11:58:58.409Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T11:58:58.409Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-21T11:58:58.409Z] The best model improves the baseline by 14.34%. [2026-01-21T11:58:58.837Z] Top recommended movies for user id 72: [2026-01-21T11:58:58.837Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T11:58:58.837Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T11:58:58.837Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T11:58:58.837Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T11:58:58.837Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T11:58:58.837Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (63062.984 ms) ====== [2026-01-21T11:58:58.837Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-21T11:58:59.291Z] GC before operation: completed in 247.510 ms, heap usage 169.409 MB -> 88.019 MB. [2026-01-21T11:59:08.610Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T11:59:18.116Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T11:59:29.176Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T11:59:38.223Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T11:59:44.193Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T11:59:49.283Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T11:59:55.512Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T12:00:00.605Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T12:00:01.344Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-21T12:00:01.344Z] The best model improves the baseline by 14.34%. [2026-01-21T12:00:01.740Z] Top recommended movies for user id 72: [2026-01-21T12:00:01.740Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T12:00:01.740Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T12:00:01.740Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T12:00:01.740Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T12:00:01.740Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T12:00:01.740Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (62631.995 ms) ====== [2026-01-21T12:00:01.740Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-21T12:00:02.235Z] GC before operation: completed in 237.327 ms, heap usage 228.463 MB -> 88.350 MB. [2026-01-21T12:00:11.397Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T12:00:20.670Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T12:00:30.029Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T12:00:39.373Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T12:00:47.134Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T12:00:52.097Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T12:00:58.955Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T12:01:04.372Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T12:01:04.864Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-21T12:01:04.864Z] The best model improves the baseline by 14.34%. [2026-01-21T12:01:05.211Z] Top recommended movies for user id 72: [2026-01-21T12:01:05.211Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T12:01:05.211Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T12:01:05.211Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T12:01:05.211Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T12:01:05.211Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T12:01:05.211Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (63186.118 ms) ====== [2026-01-21T12:01:05.211Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-21T12:01:05.211Z] GC before operation: completed in 259.832 ms, heap usage 183.652 MB -> 88.080 MB. [2026-01-21T12:01:14.863Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T12:01:24.277Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T12:01:33.912Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T12:01:42.911Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T12:01:48.941Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T12:01:53.897Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T12:02:00.380Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T12:02:05.244Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T12:02:06.256Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-21T12:02:06.256Z] The best model improves the baseline by 14.34%. [2026-01-21T12:02:07.056Z] Top recommended movies for user id 72: [2026-01-21T12:02:07.056Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T12:02:07.056Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T12:02:07.056Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T12:02:07.056Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T12:02:07.056Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T12:02:07.056Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (61097.747 ms) ====== [2026-01-21T12:02:07.056Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-21T12:02:07.056Z] GC before operation: completed in 235.279 ms, heap usage 169.236 MB -> 88.206 MB. [2026-01-21T12:02:16.465Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T12:02:25.665Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T12:02:34.573Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T12:02:43.554Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T12:02:47.415Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T12:02:53.715Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T12:02:58.820Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T12:03:03.787Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T12:03:04.511Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-21T12:03:04.511Z] The best model improves the baseline by 14.34%. [2026-01-21T12:03:05.294Z] Top recommended movies for user id 72: [2026-01-21T12:03:05.294Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T12:03:05.294Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T12:03:05.294Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T12:03:05.294Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T12:03:05.294Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T12:03:05.294Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (58419.531 ms) ====== [2026-01-21T12:03:05.294Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-21T12:03:05.294Z] GC before operation: completed in 283.775 ms, heap usage 183.328 MB -> 88.015 MB. [2026-01-21T12:03:14.962Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T12:03:24.239Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T12:03:33.663Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T12:03:43.143Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T12:03:48.439Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T12:03:53.489Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T12:04:00.089Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T12:04:05.178Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T12:04:05.178Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-21T12:04:05.178Z] The best model improves the baseline by 14.34%. [2026-01-21T12:04:05.638Z] Top recommended movies for user id 72: [2026-01-21T12:04:05.638Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T12:04:05.638Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T12:04:05.638Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T12:04:05.638Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T12:04:05.638Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T12:04:05.638Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (60165.529 ms) ====== [2026-01-21T12:04:05.638Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-21T12:04:05.638Z] GC before operation: completed in 233.270 ms, heap usage 208.881 MB -> 88.173 MB. [2026-01-21T12:04:14.941Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T12:04:24.913Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T12:04:35.745Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T12:04:45.027Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T12:04:49.899Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T12:04:56.593Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T12:05:02.425Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T12:05:07.244Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T12:05:08.078Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-21T12:05:08.078Z] The best model improves the baseline by 14.34%. [2026-01-21T12:05:08.426Z] Top recommended movies for user id 72: [2026-01-21T12:05:08.426Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T12:05:08.426Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T12:05:08.426Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T12:05:08.426Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T12:05:08.426Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T12:05:08.426Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (62549.379 ms) ====== [2026-01-21T12:05:09.142Z] ----------------------------------- [2026-01-21T12:05:09.142Z] renaissance-movie-lens_0_PASSED [2026-01-21T12:05:09.142Z] ----------------------------------- [2026-01-21T12:05:09.478Z] [2026-01-21T12:05:09.478Z] TEST TEARDOWN: [2026-01-21T12:05:09.478Z] Nothing to be done for teardown. [2026-01-21T12:05:09.811Z] renaissance-movie-lens_0 Finish Time: Wed Jan 21 12:05:09 2026 Epoch Time (ms): 1768997109538